SlideShare une entreprise Scribd logo
1  sur  23
Télécharger pour lire hors ligne
Wiley is collaborating with JSTOR to digitize, preserve and extend access to Strategic Management Journal.
http://www.jstor.org
The Impact of Outsourcing New Technologies on Integrative Capabilities and Performance
Author(s): Carmen Weigelt
Source: Strategic Management Journal, Vol. 30, No. 6 (Jun., 2009), pp. 595-616
Published by: Wiley
Stable URL: http://www.jstor.org/stable/20536064
Accessed: 01-10-2015 09:13 UTC
Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/
info/about/policies/terms.jsp
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content
in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship.
For more information about JSTOR, please contact support@jstor.org.
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Strategic Management Journal
Strat.Mgmt. J., 30: 595-616 (2009)
Published online 12March 2009 in
Wiley InterScience(www.interscience.wiley.com)DOI: 10.1002/smj.760
Received 5May 2006; Final revision received12 January2009
THE IMPACT
OF OUTSOURCING NEW
TECHNOLOGIESON INTEGRATIVE
CAPABILITIES
AND PERFORMANCE
CARMENWEIGELT*
A.B. Freeman School of Business, Tulane University, New Orleans, Louisiana, U.S.A.
Outsourcing plays an important role for firms adopting new technologies. Although outsourcing
provides access to a new technology, it does not guarantee that a firm can subsequently
integrate the technology with existing business processes and leverage it in themarketplace.
This distinction, however, has rarely been made in the literature. In the context of business
process enhancing technologies, this study builds on the resource-based and knowledge-based
views to study the impact of outsourcing onfirms' subsequent performance in themarket and their
integrative capabilities, that is, a firm's capacity to use and assimilate a new technology with
its business processes and build upon it.The study argues that greater reliance on outsourcing
may reduce a firm's learning by doing, internal investment, and tacit knowledge applications,
thereby impeding a firm's integrative capabilities and performance in themarket. The study
uses survey and archival data on banks' outsourcing strategies for Internet adoption to test for
the performance consequences of outsourcing, which are found to be negative. However, the
findings also show that outsourcing is less detrimentalforfirms with experience inprior related
technology. Copyright ? 2009 JohnWiley & Sons, Ltd.
INTRODUCTION
Few firms can stay abreast of all new technol
ogy developments through internal efforts alone
(Teece, 1986; Contractor and Lorange, 1988).
Outsourcing relationships with technology ven
dors have become widespread and have evolved
from outsourcing of repetitive and fairly special
ized tasks to outsourcing of more complex tech
nologies and entire business processes (Greco,
1997; Fichman and Kemerer, 1997). In 2000,
over half of all information technology (IT) ser
vices in North America were outsourced (Pro
gentResearch, 2002). As theoutsourcing of entire
business processes becomes more common, the
Keywords: outsourcing; capabilities; technology; perfor
mance; banking
*Correspondence to: Carmen Weigelt, A.B. Freeman School of
Business, TulaneUniversity, 7McAlister Drive, New Orleans,
LA 70118, U.S.A. E-mail: cweigelt@tulane.edu
questions arise of whether outsourcing is always
beneficial, andwhether thereare limits tobenefits
from outsourcing.
Prior research is equivocal about the perfor
mance implications of outsourcing. On the one
hand, prior work views outsourcing as a means
to increase efficiency, reduce costs, or foster inno
vation by gaining access to cutting-edge technolo
gies, specialized resources, and learningopportu
nities (Hamel, 1991; Powell, Koput, and Smith
Doerr, 1996; Mowery, Oxley, and Silverman,
1996;Mitchell andSingh, 1996;Brown andEisen
hardt, 1997; Poppo and Zenger, 1998). On the
other hand, researchersargue thatoutsourcing can
lead to the hollowing of corporations, the depre
ciation of firm capabilities (Bettis, Bradley, and
Hamel, 1992), or impaired coordination across
activities (Leonard-Barton,1995; Chesbrough and
Teece, 1996). Further,prior research rarelydistin
guishes between a firm gaining access to a new
Copyright ? 2009 JohnWiley & Sons, Ltd.
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
596 C.Weigelt
technology and its subsequent ability to internal
ize and leverage such in themarket (Hamel, 1991;
Ettlie, 1988). Thus, although externalpartners
may
provide access to a technology, such access may
not fully substitute for internal learning (Attewell,
1992; Fichman andKemerer, 1997) or guarantee
thata firmcan use anddeploy the technology in the
market (Leonard-Barton,1988; Steensma andCor
ley, 2000). Hence, the importantquestion arises:
When does outsourcing hurt or benefit firm per
formance?
The distinction between gaining access toa tech
nology and being able to effectively use it is
particularly importantwhen a firm adopts a new
technology to enhance business processes, such as
service delivery. This is because the use of these
technologies (which include customer-facing and
information-systems applications) often requires
that they be assimilated into ongoing firm pro
cesses (Attewell, 1992; Purvis, Sambamurthy,and
Zmud, 2001) as well as adopted by customers
(Meuter et al., 2005). A firm must understand how
the new technology interactswith its work pro
cesses in order to adapt and reconfigure the tech
nology to fit the idiosyncrasies of its business
(Leonard-Barton, 1988; Meyer and Goes, 1988;
Attewell, 1992; Swanson, 1994). The extent to
which technology assimilation triggers new rou
tinesandcapabilities insidea firm(Damanpourand
Evans, 1984) may explain part of the variance in
benefits that firmsderive from externally sourced
technology.
Furthermore,gaining access toa new technology
does not automatically ensure that a firm can suc
cessfully deploy the technology in themarket. For
a firm to reap benefits from a new technology, such
as cost savings from Internet banking or online
reservation systems, its customers need to adopt
the technology (Meuter et al., 2005). While the
innovation literaturefocuses on customer traitsand
technologycharacteristicsaspredictorsof adoption
(Rogers, 1995), the services technology literature
stresses thata better customer understandinghelps
firmswith influencing theircustomers' technology
adoption (Parasuraman,
2000; Bitner, Ostrom, and
Meuter, 2002). Outsourcing may impactcustomer
adoption of a new technology by affecting the firm
customer relationship.
This article studies the impact of the degree
of new technology outsourcing on a firm's inte
grative capabilities which reflect a firm's capac
ity to use and assimilate a new technology into
Copyright ?) 2009 JohnWiley & Sons, Ltd.
its business processes and build upon it (Helfat
and Raubitschek, 2000), and its performance in
themarket, captured as customer adoption of a
new technology. A firm's degree of outsourcing
is the extent towhich it relies on a thirdparty's
expertise versus efforts of its own staff to adopt a
new technology.Building on thecapabilities liter
ature (Penrose, 1959;Nelson andWinter, 1982), I
argue thatgreater technology outsourcing reduces
a firm's learningby doing and investment in inte
grative capabilities. I also argue thatoutsourcing
interfereswith firm processes used to raise cus
tomers' perceived value of a technology, thereby
hurting customer adoption. Finally, I testwhether
firmswith prior related experience (Cohen and
Levinthal, 1990) are less likely to suffer thedown
sides of outsourcing.
This studymakes several contributions to the lit
eratures on capabilities and technology sourcing.
First, by distinguishing between access to a tech
nology and subsequent capabilities related to that
technology, this study addresseswhether firmsare
likely tobuild integrativecapabilities forexternally
sourced technology. In doing so, this study con
tributes to an emerging research stream that tries
tobetterunderstand the sourcesof firmcapabilities
(Ethirajet al., 2005).While the theoreticalnature
of firm capabilities as valuable, inimitable, and
path-dependent processes thatenable the deploy
ment of resources and enhance firm performance is
well conceptualized and empirically tested (Nelson
and Winter, 1982; Barney, 1991; Amit and Schoe
maker, 1993;Helfat, 1997;Yeoh andRoth, 1999),
the same does not hold for our understanding of the
sources of firm capabilities (Ethirajet al., 2005)
and the role outsourcing plays therein.Capabil
ities evolve through learning by doing (Nelson
and Winter, 1982) and deliberate investment in
resources and organization structures (Zollo and
Winter, 2002), but the question remainswhether
technology sourcing prevents the development of
capabilities necessary for the effective use of that
technology inside an adopting firm, and, if so, what
firms may be able to do tomitigate the downside
of outsourcing.
Second, this study provides new insights into
how outsourcing impacts customer adoption of a
new technology and, hence, a firm's ability to
leverage a new technology in the market. Most
prior studies on outsourcing focus on manufac
turing industries (e.g., semiconductor, automotive,
or computer) (Dyer, 1996; Steensma and Corley
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 597
2000; Leiblein, Reuer, andDalsace, 2002) rather
than on customer-facing technologies, where the
customer interactswith the technology. This dis
tinctionmatters because inmanufacturing indus
tries process outsourcing can be sheltered from
the customer, thereby reducing potential disrup
tions in the firm-customerrelationshipdue to out
sourcing. For instance, despite outsourcing their
shoe manufacturing, athletic footwear companies
Nike andReebok isolated theircustomer relation
ship from their outsourcing partner by retaining
product design and marketing in-house (Rosen
zweig, 1994). In contrast, technology outsourcing
for the supportof service delivery directly affects
customers, given their role as 'co-producers'of
the service (Lovelock andYoung, 1979; Daman
pour, 1996). For example, when outsourcing ser
vice delivery, such as call centersor Internetappli
cations, a firm's customers directly interactwith
theoutsourcing partner.Customers' willingness to
use outsourced services and theirperceptionof ser
vice quality' affect a firm's ability to reapbenefits
from outsourcing.
Third, this study examines the role that prior
experience with related technology plays inmiti
gating thepotentially negative effects of outsourc
ing on a firm's integrative capabilities and per
formance in themarket. Studies building on ideas
of the resource-basedview and evolutionary eco
nomics note that capabilities develop in stages
and build on prior related experience (Cohen and
Levinthal, 1990; Helfat and Peteraf, 2003). This
raises the question of whether firmswith prior
experience are less likely to encounter potential
downsides of outsourcing because their experi
ence enables them to learnmore easily (Mowery
et al., 1996). Prior experience may also enhance
a firm'sunderstandingof thecustomer-technology
link, thereby achieving a fit between technology
attributesand customer needs despite outsourcing,
which, in turn,is likely to enhance performance in
themarket.
This study is based on both archival and sur
vey data of 94 U.S. banks that participated in
two sequential surveys on Internet outsourcing
strategies.The context of Internetbanking iswell
suited for this study because outsourcing of new
customer-facing technologies iswidespread in the
financial services industry.Furthermore, Internet
banking as a new service delivery channel affects
a bank's business processes, and its success in
themarket depends on customers' adoption of the
technology. Finally, PC banking, a prior technol
ogy related to Internetbanking thatwas first intro
duced in the late 1980s, provides an opportunity
for theanalysis of themoderating impactof experi
ence inprior related technology on the relationship
between new technology outsourcing and integra
tive capabilities and performance in themarket,
respectively.
THEORY AND HYPOTHESES
Technology outsourcing
The conditionunderwhich technologyoutsourcing
enhances or hurts performance is a central ques
tion for both managers and strategy researchers,
and the answer may depend on the source of
valuable capabilities and a firm's ability to inte
grate and apply them. The resource-based view
(RBV) hints at benefits from outsourcing when
other firms are the source of valuable capabili
ties and outsourcing provides a firmwith access
to these capabilities (Lavie, 2006; Penrose, 1959),
but cautions firmsagainst outsourcingwhen valu
able capabilities require learning by doing and
the building of path-dependentknowledge stocks
inside the firm. Thus, a firmmay benefit from
outsourcing if it enables the firm to enrich its
knowledge stock, tap into specialized resources,
and fill voids in its technology portfolio (Wom
ack, Jones, andRoos, 1990; Powell et al., 1996;
Mitchell and Singh, 1996;Mowery et al., 1996;
Steensma andCorley, 2000), which, in turn,may
enhance performance by increasingproduct vari
ety and speed tomarket (Brown and Eisenhardt,
1997) or by reducingproduction costs (Poppo and
Zenger, 1998). Furthermore,by introducing firms
to new technologies and know-how, outsourcing
can counter pitfalls from local search and compe
tency traps (Levinthal andMarch, 1993); pitfalls
thatotherwisemay lead tocore rigiditiesormissed
opportunities by restricting firms to the realm of
theirexisting capabilities (Leonard-Barton,1992).
Hence, technology outsourcing can provide firms
with opportunities to strengthen their capability
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10. 1002/smj
1
For example, customer dissatisfaction with the service and
support provided by its outsourcing partner caused Dell to scale
back on its outsourcing of customer service and bring part of
the function back in-house. Thus, customer discontent with the
outsourced service prevented Dell from realizing all the cost
savings that outsourcing promised (Johnson, 2003).
Copyright ? 2009 JohnWiley & Sons, Ltd.
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
598 C.Weigelt
base and performance in themarket beyond that
possible through internalefforts alone.
On the other hand, a central tenet of the RBV
is thatvaluable capabilities are firm-specific and
evolve within the firm (Barney, 1991; Nelson
andWinter, 1982). Valuable capabilities are path
dependentandaccumulateover time throughlearn
ing by doing and deliberate investments in activ
ities to build know-how (Ethiraj et al., 2005;
Zollo andWinter, 2002). Building on these ideas,
researchershave warned thatoutsourcing can lead
to the hollowing of corporations and the depreci
ation of internalcapabilities (Hamel, 1991; Bettis
et al., 1992) and that thereforevertical integration
ispreferred.These researchersargue thatoutsourc
ing shifts investments inknowledge-building activ
ities from the firm to the supplier, thusslowing the
process of learningby doing inclient firms (Bettis
et al., 1992).
Firms' ability to integrate and apply external
knowledge may also determine whether technol
ogy outsourcing benefits or hurts firm integrative
capabilities and performance in themarket. This
ability, according to the knowledge-based view
(KBV), depends on the tacitness of knowledge
associated with a new technology and the inter
dependence of activities carriedout between firms
(Kogut and Zander, 1992; Grant, 1996). While
explicit knowledge is easily exchanged among
firms, tacit knowledge requires context-specific
understanding to make sense, and, therefore, is
'sticky' to its owner and the context in which it
has accumulated (Polanyi, 1967). Consistent with
these ideas, Borys and Jemison (1989) find that
supplier relationships for the transferof tacit tech
nology knowledge failed more often than those
transferringcodified technology. Similarly, Dem
setz (1988) argues thattacitknowledge can only be
obtained throughoutsourcing if it can be embed
ded in the technology itself. Thus, if knowledge
can be codified, for example in blueprints or pro
totypes, outsourcing is likely to enable a firm
to use external expertise to enhance its perfor
mance. In contrast,when technology knowledge
is tacit, vertical integration facilitates its transfer
through shared experience and language among
organizationmembers2 (Arrow,1974;Monteverde,
1995) and outsourcing is likely to be inferior.
Further, the interdependence of activities that
are required to integrate a new technology with
internalprocesses affects thepotential for benefits
fromoutsourcing (Kogut andZander, 1992;Grant,
1996). Interdependent activities require ongoing
communication, knowledge exchange, andmutual
adjustment between actors carrying out various
parts of an activity (Thompson, 1967; Gulati and
Singh, 1998).Outsourcing is likely tobe beneficial
if activities have low interdependence,are sequen
tial, and can be easily divided into separate sub
activitieswith well-understood interfaces (Wheel
wright and Clark, 1992). For example, Nike and
Reebok achieved cost savings from outsourcing
their shoemanufacturing. One can argue, accord
ing to theKBV, that the outsourcing benefits in
thiscasewere attributableto therelative sequential
and low interdependenceof activities and thewell
understood process of shoe manufacturing. Once
Nike has designed a new shoe, itmakes a proto
type that embodies much of the tacit knowledge
thatwent into the shoe design. This prototype,
in turn,aids in handing over the subtask of shoe
manufacturing to a thirdparty. In contrast, verti
cal integration ismore beneficial for activities that
are interdependent, little understood ex ante, and
require frequent knowledge exchange and learn
ing insitu for theircompletion (Wheelwright and
Clark, 1992;Gulati and Singh, 1998).
Overall, RBV and KBV arguments imply that
whether technology outsourcing benefits or hurts a
firm's integrative capabilities and performance in
the market depends not only on gaining access to
a technology, but also on whether a firm can inte
grate externally sourced technology with internal
processes. Moreover, research finds that vertical
integration tends to be superior to outsourcing for
transferringtacit knowledge andmanaging inter
dependent activities (Kogut and Zander, 1992;
Leonard-Barton, 1995; Chesbrough and Teece,
1996; Leiblein et al., 2002).
2
A stream of research on buyer-supplier relationships in the
Japanese auto industry suggests that firms with contracting, or
relational, capabilities are sometimes able to recreate firm-like
conditions for coordination of tacit knowledge among partners
(Womack ?tal., 1990; Nishiguchi, 1994; Dyer, 1996; Dyer and
Nobeoka, 2000). They find that many of the benefits emanating
from Japanese buyer-supplier networks are driven by character
istics such as a network identity, common language, interfirm
employee transfers and team formations that mimic firm mech
anisms for creating, transferring, and recombining knowledge.
Womack et al. (1990) note that building close interfirm ties and
trust relationships took Toyota nearly 20 years, and that invest
ments in buyer-supplier relationships like the ones made by
Toyota are rather atypical in traditional Western buyer-supplier
relationships.
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10. 1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 599
When outsourcing hurts: technology
outsourcing and integrative capabilities
Having discussed when outsourcing is likely to
benefit or hurt a firm, I turn to the type of technol
ogy studied in this article.Technologies designed
to enhance business processes, such as customer
facing technologies, tend to 'havean abstractand
demanding scientificbase' thatrequiresspecialized
knowledge (Fichman andKemerer, 1997: 1346).
Third parties specialize in building this exper
tise by accumulating knowledge from deploying
these technologies in client firms, and by pack
aging and transmitting lessons learned through
'generic' applications of the technology to other
clients (Attewell, 1992; Swanson, 1994).Although
this makes third parties a valuable source of new
technology, the idiosyncrasies of business pro
cesses requiresubstantialmodification and adjust
ment of the technology for use by client firms
(Leonard-Barton, 1988; Fichman and Kemerer,
1997). Because the technology's interactionwith
business processes is context-specific and, thus,
difficult to fully anticipate ahead of deployment,
user firmsoften discover the technologyde novo as
it is being deployed and have to develop new capa
bilities to use the technology effectively (Mowery
and Rosenberg, 1989; Attewell, 1992; Swanson,
1994). Thus, technology adoption is a blend of
exploiting a thirdparty's technology knowledge
and creating new capabilities for its integration
and use (Mowery andRosenberg, 1989; Swanson,
1994). These new integrativecapabilities reflect a
client firm's skills in tailoringa technology to firm
specific needs to enhance its application (Helfat
andRaubitschek, 2000; JansitiandClark, 1994).
Outsourcing is likely to negatively impact an
adopting firm's subsequent integrativecapabilities
in thecontext of business process enhancing tech
nologies. First, as outsourcing increases, it limits
a firm's exposure to a new technology, and hence
learningby doing,which plays an importantrole in
the development of integrativecapabilities to use
and apply a new technology in the firm's business
processes (Rosenberg, 1982; Ethiraj et al., 2005).
Learning by doing to develop integrativecapabili
ties is an iterativeprocess of successive trials that
occur as the firm experiments with a new tech
nology, responds to updates of the technology,
and discerns its best uses depending on the tech
nology's interactionswith its business processes
(Leonard-Barton,1988; Attewell, 1992). Manag
ing the interplaybetween technology and firmpro
cesses is likely tobenefit from thecoordinationand
free flow of information in firms,whereas chal
lenges arisewhen activities are split among firms
due to outsourcing (Leonard-Barton,1995).
Second, capabilities evolve through not only
learningby doing, but also deliberate investment in
internalprocesses (Ethirajet al., 2005; Zollo and
Winter, 2002) thatfacilitates thebuilding of know
how througha sharedunderstandingarounda new
technology. As outsourcing increases, it diverts
capital and time investments away from internal
infrastructureto themanagement of external rela
tionships.A firmmay spend, even in the absence
of opportunism, increasingenergy on negotiations
and convincing thirdparties of appropriateactions
(ConnerandPrahalad, 1996). In addition, the firm
is likely to allocate fewer resources and talent to
areas thatareoutsourced and, therefore,often per
ceived as noncore, which leads to a neglect of
capabilities in those areas (Leonard-Barton,1992;
Bettis et al., 1992). This lack of internalresource
allocation for theuse of a new technology is likely
to impair the building of integrative capabilities
related to the technology.
Third, given the difficulty of transferringtacit
knowledge across firm boundaries, outsourcing
may limit a firm's insights into codified com
ponents transferablewith the technology, thereby
potentially causing a firm tomake faulty assump
tionsandconclusions about the technology (Cohen
andBacdayan, 1994;Pisano, 1996).Discerning the
often unclear cause-and-effect linksbetween anew
technology and its applications to business pro
cesses requires transferringnot only the technol
ogy itself, but also itsunderlying tacitknowledge
(Attewell, 1992; Fichman and Kemerer, 1997).
Knowledge-transfer problemsmay be exacerbated
if third parties share less technological knowl
edge than adopting firms require to effectively
use a technologywithin theirbusiness processes.
Hence, without significant involvement, adopting
firms
may be unable tounderstandthecausal ambi
guities surroundinga new technology, which, in
turn, is likely to limit the integrative capabilities
they can develop.
Hypothesis la: The higher a firm's degree of
outsourcingfor a new business process enhanc
ing technology, the lower itssubsequent integra
tivecapabilities related to the technology.
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
600 C.Weigelt
When outsourcing hurts: technology
outsourcing and performance in themarket
Access to a new technology via outsourcing does
not guarantee thata firmcan leverage the technol
ogy in themarket (Steensma and Corley, 2000).
The performance benefits that a firm reaps from
customer-facing technologies will greatly depend
on the extent towhich customers adopt the tech
nology (Meuteret al., 2005).3However, customer
adoption of a technology cannot be taken for
granted (Rogers, 1995). Similar to organizational
members who often face considerable latitude in
using anew technology theirfirmadopts (Leonard
Barton and Deschamps, 1988), customers can
often choose whether or not to adopt (Curran and
Meuter, 2005). Technologies often fail in themar
ket due to a lackof customer adoption thatresults
partly from an inability of the adopting firm to
demonstrate the technology's value, relevance, and
benefit to its customers (Rogers, 1995; Meuter
et al., 2005).
Literature on technology adoption has isolated
perceived ease of use and usefulness as factors
that affect customers' acceptance of a new tech
nology (Davis, 1989; Rogers, 1995). Since learn
ing cost, perceived risk, expected time and cost
savings associated with using a technology vary
for different customer groups, an adopting firm
needs to understand its customers and the rea
sons why some customers opt out (Parasuraman,
2000; Curran andMeuter, 2005). The technology
services literatureargues that such understanding
enables a firm to target communication, educa
tion, customer-friendly instructionsor aids to their
customers' specific technology concerns, thereby
increasing thevalue thatcustomers perceive from
using the technology (Bitner et al., 2002; Durkin
et al., 2003; Meuter et al. 2005). Thus, for new
technologies to receive high customer adoption, a
firm needs to ensure that the technology's applica
tionsmeet its customers' needs (Utterback, 1974;
Rogers, 1995). Therefore, a firm'sperformance in
the market is assessed as customer adoption, that
is, the extent to which a firm's customers use a
new technology.
Outsourcingmay negatively affect a firm's per
formance in the market. First, gaining customer
knowledge to tailor technology attributesand com
munication to customer needs depends on a set
of tacit, interdependentprocesses, such as collect
ing informationon customers' technology percep
tions, interpreting the information in the context
of a firm's market, disseminating it throughout
the organization, and acting upon it (Day, 1994;
Kohli and Jaworski, 1990). Executing these pro
cesses in an iterative fashion, where a firm's learn
ing about new technology features alternateswith
obtaining customer feedback on the technology, is
crucial for fitting a new technologywith customer
needs toensure customer adoption.As outsourcing
increases, the extent to which a firm gathers and
applies customer knowledge to fit technology fea
tures tocustomer needs declines, which, in turn,is
likely to reduce customer adoption.
Second, the process of tailoring technology
applications to customer tastes is complicated by
customers' variability in preferences: the service
level they request, the learningeffort theyarewill
ing to make, and the service quality they expect
from a new technology (Frei,2006). This variabil
ity across customers makes fitting a technology to
customer needs a process of successive approx
imation and trial-and-errorlearning that is diffi
cult to plan in advance and standardize (Attewell,
1992). Therefore, increased technology outsourc
ing is likely to result in frequent updating and
renegotiatingof contracts as new knowledge about
customer preferences is discovered. Renegotiations
can be time-consuming (Conner and Prahalad,
1996) and can interfere with timely adaptations
of the technology to customer needs. Furthermore,
outsourcing introduces an extra layer between the
firm and its customers, namely the third party pro
viding the technology, which is likely to reduce
the extent to which customer needs are reflected
in technology applications (Fornell, 1992). Conse
quently, as outsourcing increases, performance in
the market is likely to decline.
Third, since customers interact with a technol
ogy during service delivery, they become a key
inputfactor to the 'productionprocess' (Lovelock
and Young, 1979). This active role of the customer
makes it difficult to separate service delivery into
independent sub-activities that can be executed
independentlyby holders of technologyknowledge
and holders of customer knowledge. In order to
reduce service failures, a firm needs to stay close to
its customers to learn about their interactions with
the technology and define the customer's role in
3
For instance, for a bank to realize the cost savings associated
with customers migrating from branch to Internet transactions
(costing $1.07 versus 1 cent each) (Dandapani, 2004), its cus
tomers need to actually use the Internet.
Copyright
?~)
2009
John
Wiley
&Sons,
Ltd. Strat.
Mgmt.
J.,30:595-616
(2009)
DOI: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 601
service delivery (Meuter et al. 2005). By increas
ing a firm's distance to its customers, outsourc
ingmay cause a rise in service delivery glitches,
which, in turn, is likely to reduce performance in
themarket.
Hypothesis lb: The higher a firn's degree of
outsourcingfor a new business process enhanc
ing technology, the lower itssubsequentperfor
mance in themarket.
Limits to pitfalls from outsourcing: the role of
experience inprior related technology
The performance impact of outsourcing may
depend on whether a firm can absorb external
knowledge. The ease with which knowledge can
be transferredis, in part, influencedby the recip
ient firm's absorptive capacity to interpret,digest,
and assimilate external knowledge (Cohen and
Levinthal, 1990). Absorptive capacity has been
shown to predict innovative activity (Cohen and
Levinthal, 1990), researchproductivity (Cockburn
andHenderson, 1998), and the extent of manage
rial IT use (Boynton, Zmud, and Jacobs, 1994).
Studying the adoptionof video banking, Pennings
and Harianto (1992) show that experience with
prior technology applications facilitated a bank's
adoption of video banking.Rosenberg (1990) fur
therhighlights the relevance of prior experience
by noting that prior experience 'requiresa sub
stantialresearchcapability tounderstand, interpret,
and appraiseknowledge thathas beenplaced upon
the shelf' (Rosenberg, 1990: 171, italics in origi
nal).Hence, experience inprior related technology
may limit the downside of outsourcing by foster
ing a firm'sability to integrateexternal technology
with firmprocesses.
Prior experience provides a firmwith thecapac
ity to better understand the cause-and-effect rela
tionshipsunderlying anew technology,make sense
of it, and integrate itwith firm processes (Fich
man andKemerer, 1997).Drawing on prior related
experience for applications of new knowledge
decreases the likelihood of errors and false starts
(Cohen and Bacdayan, 1994), thereby providing
the platform on which to build new capabilities
(Nelson andWinter, 1982; Helfat and Peteraf,
2003). Thus, a firm
may be able to substituteprior
relatedexperience for the tacitknowledge compo
nents of a technology thatare difficult to transfer,
therebyreducing thenegative effect of outsourcing
on integrativecapabilities.
Also, as mentioned earlier, managers often
hold areaswhose activities are outsourced in low
regard resulting in meager allocation of talent
and resources to those areas (Leonard-Barton,
1992), which reduces the likelihood of internal
capability development (Bettis et al., 1992). Firms
with prior experience may be able to counter
this tendency by having built expertise in areas
currently affected by outsourcing. With prior
experience, firmsmay be less inclined todiscredit
the importanceof integrativecapabilities in areas
affected by outsourcing.
Hypothesis 2a: Firms with experience inprior
related technology exhibit less of a decline in
subsequent integrative capabilities as their
degree of outsourcing for a new business pro
cess enhancing technology increases.
Similarly, a firm's prior relatedexperiencemay
lessen the negative effect of outsourcing on a
new technology's performance in themarket by
enabling the firmtobuild on priorcustomer-related
knowledge. Such knowledge may have accumu
lated by studying customers' reactions to prior
technology, experimenting with prior technology
at the customer interface,or by previously apply
ing technology to service delivery. Hence, expe
riencemay enable a firm tomore easily address
customervariability inpreferences and apply tech
nology to fit customer needs, even as outsourcing
increases. The benefits of prior experience may
translate into less need for basic learning by doing
to yield customer adoption because the firm has
already engaged in those learning activities in the
past (Cohen andLevinthal, 1994; Pisano, 1990).
In addition, by enhancing a firm's familiarity
with a new technology, prior related experience
increasesa firm's ability to split technology-related
activities into sub-activities and recombine them
(Eisenhardt and Tabrizi, 1995). By understand
ing the interfacesbetween a technology's compo
nents and firm processes, a firm may be able to
more successfully manage the process of collect
ing informationon customer interactionswith an
outsourced technology, thereby reducing the neg
ative effect of outsourcing on performance in the
market.
Hypothesis 2b: Firms with experience inprior
related technology exhibit less of a decline in
subsequentperformance in themarket as their
Copyright
? 2009
John
Wiley
&Sons,
Ltd. Strat.
Mgmt.
J.,
30:
595-616
(2009)
DOI: 10. 1002/sm'J
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
602 C.Weigelt
degree of outsourcingfor a new businessprocess
enhancing technology increases.
In summary, as a firm's technology outsourc
ing increases, its integrative capabilities and per
formance in themarket decrease. However, prior
related experience mitigates this negative effect
of outsourcing. It follows that pursuing higher
degrees of technology outsourcing is particularly
disadvantageous for firms lacking prior related
experience.
METHODS
Internet banking
Since Internetbanking is a new technology that
spread into the service sector via technology ven
dor relationships, it is a suitable setting for study
ing the impact of new technology outsourcing
on integrative capabilities and performance. In
2002, banks spent an estimated $130 billion on
IT, of which at least 35 percent went to out
sourcing (McKendrick, 2002). Technology ven
dors specialize in Internetbanking solutions and
gain expertiseby generalizing lessons learnedfrom
installing their solutions at multiple banks and
by subsequently embedding those lessons learned
into prepacked, 'off-the-shelf' software solutions.
These solutions tend to be 'generic' in that they are
tailored to the banking sector, but they lack the par
ticularitiesof a specific bank's business processes.
Hence, contractingwith technology vendors may
reduce the necessity for a bank to acquire exten
sive software programming skills, but it does not
eliminate the need for internal capabilities to cus
tomize, understand, integrate, and use a new tech
nologywith internalbusiness processes (Helfatand
Raubitschek, 2000). Building integrativecapabili
ties related to a new technology is likely to ensure
better integration of the vendor's products with
those of the bank and, thus, better customer sat
isfaction and customer online service adoption.
Banks vary in the extent to which they source
Internet solutions from technology vendors, such
as Fiserv, EDS, or Jack Henry & Associates, and
employ internal staff to customize and integrate
these solutions with their business processes. An
Internetbanking solution is a front-endsystem that
relies on a programming link to transferinforma
tionenteredby customersonline to thebank's core
Copyright ?C2009 JohnWiley & Sons, Ltd.
processing system (Federal Financial Institutions
Examination Council [FFIEC], 2003:22). Thus,
Internet banking is 'the automated delivery of
new and traditionalbanking products and services
directly to customers throughelectronic, interac
tive communication channels' (FFIEC, 2003: 1).
Online financial services include such basic ser
vices as account inquiry and fund transfers as well
as more Web-enabled financial services such as
account aggregation and electronic bill payment.
DATA
I collected data from banks' annual Reports on
Condition and Income and conducted two surveys
on U.S. banks' Internetoutsourcing activities dur
ing thewinter of 2001/2002 and thespringof 2003.
The second survey was a follow-up to all banks
participating in the first survey.
For the first survey I randomly sampled 800
bank holding companies (BHCs)with more than
$100 million in assets from the Federal Deposit
Insurance Corporation's (FDIC) list of 2,512
BHCs. The FDIC's Web site listed 5,065 FDIC
insured BHCs as of December 2000. In cases of
multibank holding companies, I chose the largest
entity within the holding company. I contacted
each bank by phone to obtain the name and contact
informationof themost senior executive in charge
of the bank's Internet initiative. Since I could not
gather contact information for 32 banks, most of
which had been acquired during 2001, the survey
sample includes 768 both privately and publicly
held banks.
To prepare the survey, I reviewed bank Web sites
and press releases and conducted interviews with
bank executives in charge of their bank's Internet
activities. I designed the survey using measures
from theOffice of theComptroller of theCurrency
Internetbanking studies,market research studies,
interviewswith industryexperts, andprior research
on innovation and strategy. Eight experts who were
either senior bank executives or industry analysts
participated in the pilot testing of the survey.
I sent the first survey to informants during the
winter of 2001/2002 and administered two follow
up postcard mailings and follow-up phone calls
to banks during February to mid-April 2002. The
informantswere senior executives in charge of
theirbanks' Internet initiatives. I received replies
from 224 banks, which is a response rate of 29
Strat. Mgmt. J., 30: 595-616 (2009)
DOL: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 603
percent.Accounting for 21 acquired banks in the
sample of 768 banks, the response rate rose to 30
percent.
InApril 2003, I sent a follow-up survey to the
224 senior executives who participated in the first
survey or, in cases of job changes, to the senior
executive now in charge of the bank's Internet
activities. The survey focused on Internetbanking
capability andperformancemeasures and repeated
somemeasures frommy first survey. I conducted
follow-up postcardmailings and follow-up phone
calls during May and June 2003. A total of 132
banks responded to the second survey,which is a
response rate of 59 percent.Accounting for nine
banks in the sample thathad been acquiredduring
2002 and early 2003, the response rate increased
to 64 percent. The 224 banks replying to the first
survey held assets between $100 million to over
$10 billion as of December 2001.
I conducted t-tests between respondents and
nonrespondents and between earlier and later
respondentsfor size, numberof banks in aBHC's
structure,and financial condition (loans/deposits)
to examine the data for potential nonrespondent
bias. The t-testswere not significant, indicatingan
absence of a nonrespondentbias between respon
dents andnonrespondents (size: t= -0.18; BHC's
structure: t= 1.15; financial condition: t= 1.07)
andbetween earlierand laterrespondents(size: t=
-1.03; BHC's structure:t= -0.71; financialcon
dition: t= -1.08) to the first survey. T-tests for
the second surveywere also not significant (size:
t= -1.61; BHC's structure: t= -1.62; financial
condition: t= -0.57). Further, t-tests comparing
time of adoption (t= 0.74), degree of initial out
sourcing (t= -1.45), and online retail service
offerings (t= -1.32) for respondents and nonre
spondents to the second surveywere not signifi
cant.
Gerhart,Wright, McMahan, and Snell (2000)
caution against rater reliability issues in survey
research. To increase rater reliability, both sur
veys had global and specific measures to assess
informants' knowledge of their banks' Internet
activities (Kumar, Stem, and Anderson, 1993).
About 70 percent of respondentshad titles at the
vice president level or higher. Titles were in e
commerce (37%), operations (25%), IT (16%),
marketing (9%), sales (6%), finance (2%), CEO
(2%), and other-not specified (4%),which reflects
earlier findings that the area that originally cham
pioned Internetbanking varies across banks (BAI,
Copyright ?) 2009 JohnWiley & Sons, Ltd.
1999). Respondents to the first survey had, on
average, a job tenure of 3.8 years and a bank
tenure of 8.3 years. Except for 24 respondents
who underwent job changes, all respondentswere
identical in both surveys. To ensure respondents'
competence, I asked each informantto ratehis or
her personal involvement in (1) thebank's online
initiatives, (2) the addition of new online func
tionality, and (3) the selection of Internet sup
plier/partnerson a seven-point Likert-type scale.
The threeitemswere reliable forboth surveys (a=
0.88 and a = 0.85, respectively) and respondents
were highly involved (mean= 6.03, S.D. = 1.23,
andm = 5.95; S.D. = 1.26, respectively).
Although multiple informants are preferred in
surveys (Golden, 1992;Kumar et al., 1993) Iused
only a single informantbecause utilizing multi
ple informants from a single firmwhen a sin
gle informant ismost knowledgeable often cre
atesproblems (Glicket al., 1990).Gerhart,
Wright,
and McMahan note that single raters tend to be
more reliable in smaller ratherthan in largerfirms
due to substantialwithin-firm variation in larger
firms; for example, different policies across busi
ness areas are a major source of rater reliability
bias at the firm level (Gerhart,
Wright, andMcMa
han, 2000: 867). Given the small size of most
banks' e-business units (71% of e-business units
had five or fewer employees) and because I asked
informantstoassess only Internetactivities directly
related to theirarea, Ibelieve raterreliabilitybias
is not a serious concern in this study.
Common method variance is a potential short
coming in survey-based research that collects
dependent and independent variables from the
same respondent (Podsakoff and Organ, 1986).
However, Ibelieve thatthevalidity ofmy findings
is not subject to common method bias since the
dependent and independentvariables come from
two different surveys conductedmore thana year
apart,which reduces correlationamong dependent
and independentvariables that
may be attributable
to common method bias (Podsakoff and Organ,
1986;McEvily andChakravarthy,2002). Further
more, although the same executives were targeted
by both the first and second survey, 24 of the
respondents in the second survey differed from
those in the first survey because of job changes.
Hence, in24 cases the independentand dependent
variables come from different sources. This pro
vides me with the opportunity to testwhether the
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
604 C.Weigelt
responses to thedependentmeasures differ signif
icantly between new and incumbent respondents.
I conducted t-tests for the responses to the three
items forming the capability measure (t= 0.98;
p = 0.33; t= 1.61; p = 0.12; t= 1.53; p = 0.13)
and for customer adoption (t= 0.37; p = 0.72).
These t-testswere not significant at the p < 0.10
level, implying that the two groups of respondents
did not significantly differ in their responses, fur
ther indicating thatcommonmethod bias is not a
concern.
Variable Measurements
Dependent variables
The article studies the impact of outsourcing on
two dependent variables collected in the second
survey: integrative capabilities and performance
in themarket (customer adoption). Prior work
has measured capabilities as number of patents
(Mowery et al., 1996), products (Yeoh andRoth,
1999;Katila andAhuja, 2002), researchanddevel
opment (R&D) expenses (Cohen and Levinthal,
1990;Helfat, 1997), or latentconstructs based on
surveys (Steensma and Corley, 2000). I follow
Steensma and Corley (2000) by measuring inte
grative capabilities using a latent construct based
on three seven-point Likert scale items. Infor
mants4 rated the degree to which their bank (a) is
capable of customizing standardizedoff-the-shelf
technology to its Internetapplications, (b) is capa
ble of developing future applications of Internet
banking services, and (c) has adequate IT skills
to operate Internetbanking in-house (Appendix).
The latentconstructof integrativecapabilities cap
tures the extent to which a firm is able to assim
ilate, enhance, and apply a new technology to
its internal processes (Mytelka, 1985; Leonard
Barton, 1988;Helfat andRaubitschek, 2000). The
standardizedCronbach coefficient alpha for the
three items was a = 0.85. I also conducted a fac
tor analysis to ensure that the items loaded on
one factor. I combined and averaged the three
items to create the variable integrative capabil
ities. Higher values indicate greater integrative
capabilities.
Isolating the performance of online banking
from thatof other service delivery channels ischal
lenging; since the inception of Internetbanking,
banks have struggled to assess the effectiveness
of their online operation and its contribution to
overall financialperformance.Banks are different
from other industries that service their customers
throughmultiple channels such as retailing (e.g.,
Williams-Sonoma orBarnes & Noble) in thatcus
tomers utilize theirbank's services throughmul
tiple channels (e.g.,ATMs, branches, call centers,
or online) without being charged on a transaction
by-transaction basis.5 It is thereforenearly impos
sible to tracerevenues to specific transactions,and
hence specific service delivery channels.Although
industry analysts have observed that customers
who bank online havemore products, lower attri
tion rates, and, on average, 35 percent higher
balances than their offline counterparts (Bielski,
2003), the causal chain of whether online cus
tomers aremore profitable due to banking online
orwhether more profitable customers bank online
cannotbe established. Second, tracingcosts to spe
cific channels and specific customers is also diffi
cult. Technology is an integral part of a bank's
operations, and several banking channels (e.g.,
online banking platform, branch, and ATM net
works) utilize and draw on the same back-end data
processing for theiroperation.
Faced with these limitations, banks use 'total
number of active online customers' as a way to
assess the performance of their online banking
channel. This is a suitable performancemeasure
because, while revenues cannot be traced by deliv
ery channel, it is known that online banking is a
4
Huber and Power (1985) raise concerns regarding raters' poten
tial desirability biases and intentional distortions in surveys.
However, although it would be favorable for all respondents
to report high integrative capabilities for their bank, the mean
for this variable is only 3.82 (S.D.
=
1.72). A frequency distri
bution for the capability variable shows that less than 15 percent
of respondents reported a score of six or higher, and that less
than 25 percent reported a score of five or higher. Hence, a
desirability bias seems unlikely to exist in this survey data.
5
A retailer such as Barnes & Noble can measure the profit it
earns from an online customer versus a retail store customer
because each engages in a specific transaction that is docu
mented. That is, revenues and costs for the transaction are
measured (e.g., sales price, costs of goods sold, handling and
shipping). In contrast, banks cannot track how profitable one
channel is versus another. The reason for this is that a customer
uses multiple channels for the same banking products without
being charged for each individual transaction. Thus, a customer
may open a bank account in a branch, withdraw money from
the ATM, request a loan over the phone, and check balances and
pay bills online. Given this, customer profitability in banking is
notoriously difficult to attribute to a specific channel.
Copyright
? 2009
John
Wiley
&Sons,
Ltd. Strat.
Mgmt.
J.,30:595-616
(2009)
DOI: 10. 1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 605
lower-cost channel than branch and ATM (Dan
dapani, 2004; Durkin et al., 2003).Migrating cus
tomers toonline banking is thereforelikely associ
atedwith increasedcost savings forbanks. Inaddi
tion, in the academic literature,customer adoption
and usage of a new technology are viewed as mea
sures of new technology acceptance and success
(Rogers, 1995; Leonard-Barton and Deschamps,
1988). Although not directly capturing a firm's
online sales and profits, a higher percentage of
customer online adoption signals a firm's abil
ity to penetrate a new market. Therefore, online
customer adoption is an appropriate,andwidely
used, proxy for theperformance of Internetbank
ing operations.
Accordingly, Imeasure performance in the
mar
ket as the percentage of a bank's total customer
base (demand-deposit households) that regularly
checks balances online.Respondents reportedtheir
total customer base checking balances online as
of the spring of 2003, the time of the second
survey. To ensure themeasure's validity, I sep
arately asked respondents the following two ques
tions and thencalculated a customer online adop
tionmeasure:What isyour bank's totalnumberof
active online customers?
What isyour bank's total
number of retail customers (offline and online)?
I reestimated themodels with this second per
formancemeasure and the results were consis
tent. The correlation between both measures is
r= 0.88. This performancemeasure considers that
technologies adopted inbusiness processes orunits
may not directly affect overall returnon equity
(ROE) or returnon assets (ROA) (Ray, Barney,
andMuhanna, 2004).6
Independentvariables
All independentvariables were collected in the
first survey. Degree of outsourcing captures the
extent to which a firm relies on external vendors
to adopt a set of eight online service areas. Prior
literature tends to conceptualize interfirmmodes
as binary (Leiblein and Miller, 2003) or as an
ordinal continuum of interfirmrelationships (e.g.,
licensing, equity stakes, joint ventures, and acqui
sition) (e.g., Steensma andCorley, 2000;Nicholls
Nixon andWoo, 2003), although some of these
choices (e.g., licensing agreements) can be con
tinuous. Therefore, following Pisano (1990) and
Poppo and Zenger (1998), degree of outsourcing
is a continuous variable ranging from zero (all
in-house) to 100 (all outsourcing).Using external
vendors to acquire new technology is prevalent
in the banking industrywith only a few banks
among the largest relying solely on in-house pro
cessing. In the sample, only one bank did so; all
others used varying degrees of internaland ven
dor involvement to implementeight online service
areas: account balance inquiryand funds transfer,
credit/loan/mortgage, bill payment, bill present
ment, investment, insurance,CRM, and nontradi
tional services. Eight banking experts evaluated
the list of service areas to ensure it was repre
sentative of online service offerings. Informants
reportedtheirbank's percentageof in-housedevel
opment versus outsourcing for each service area
(Appendix). I calculated degree of outsourcing by
summing thepercentages of outsourcing across all
service areas offered and dividing the sum by the
total number of online service areas offered. The
measure includes service areasadoptedcompletely
in-house and accounts for firmsdiffering in their
degree of outsourcing across service areas.
Experience in prior related technology may
influence a firm's performance in the market
and integrative capabilities by providing learn
ing opportunities that foster absorptive capacity
(Cohen and Levinthal, 1990). For over 20 years,
banks have attempted to shift theircustomers from
physical branches to remote channels, such as
home banking, ATMs, and smart or debit cards
(Pennings and Harianto, 1992). I define experi
ence inprior related technology as previous PC
banking offerings that are a predecessor technol
ogy to Internetbanking. PC banking familiarized
banks with remote customer self-servicing tech
nology and offered services similar to the basic
services offered by Internetbanking.Although PC
banking included several of today's basic online
services, it required users to install the bank's soft
ware on their PCs to access accounts remotely.
Experience inprior related technology is a binary
variable of one for banks that had at any point
in time a PC direct-dial program for their retail
customers and of zero otherwise.
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10.1002/smj
6
The logic is that as the performance of one business unit
increases thereby positively contributing toROE (ROA), another
business unit may perform poorly resulting in a negative effect
on ROE (ROA). Both effects may cancel each other out leading
to no visible effect from e-banking on aggregate performance
measures such as ROE or ROA.
Copyright ? 2009 JohnWiley & Sons, Ltd.
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
606 C.Weigelt
Control variables
I control for firm-and relationship-specific factors
thatmay influence a firm's capabilities and per
formance in themarket. Firm size is an archival
measure taken from each bank's annual Report
on Conditions and Income. Inkeeping with prior
research in banking, firm size ismeasured as the
log of assets (Dos Santos and Pfeffers, 1995).
Larger firmsmay have greater capacity, slack, and
incentives to acquire new capabilities due to their
scale (e.g., broad service portfolio) or fixed-cost
spreading advantages (e.g., large customer base)
(Cohen, 1995).
Technical andmarketing investments aremea
sured as composite formative indicators (Bollen
andLennox, 1991). Technical investmentsconsist
of technological intensityand IT strengththat
mea
sure tangible and intangible aspects of resource
investments, respectively (Amit and Schoemaker,
1993). Technological intensity is measured as a
bank's IT investments in systems, equipment,
and data processing divided by total assets (Pen
nings andHarianto, 1992). IT strength is a reflec
tivemeasure from the first survey and comprises
the seven-point scale items: (a) a bank's over
all technology/IT knowledge and (b) IT invest
ments/budget uponWeb launch,which correlate
highly (r= 0.59). I created the formative mea
sure technical investmentsby summing and aver
aging the z-scores for technological intensity and
IT strength. Similarly, I created the formative
measure marketing investmentsby summing and
averaging the z-scores for market scope and mar
keting intensity.Market scope is the percentage
of income derived from nontraditional banking
sources and captured as ratio of noninterest income
to total income. Marketing intensity ismeasured as
abank's advertisingexpenses divided by revenues.
Timeof adoption is thenumberof months since
year-end 1995 before a bank started to adopt
Internetbanking. The variable controls formar
ket learningeffects and technological advancement
that occur as new technologies diffuse through an
industry(SchoeneckerandCooper, 1998). Scope is
measured as the number of service areas
(Appendix) inwhich a bank initially adopts online
services. Greater scope has been shown to increase
the complexity of a new technology and the coor
dination efforts required to adopt it (Novak and
Eppinger, 2001).
Copyright (C2009 JohnWiley & Sons, Ltd.
Imeasure number of external partners as the
average number of vendors thata firmhad across
eight online service areas at time of adoption
(Appendix). Contracting with more external par
ties may increase a firm's external coordination
efforts and divert attention from cultivating capa
bilities due to bounded rationality (Simon, 1960).
Collaboration with partner is a firm's average
degree of collaboration with its partner across
eight online service areas (Appendix). Informants
rated on a seven-point scale the extent towhich
their vendor relationshipwas, on average, arms
length or collaborative, which controls for the
extent of interactionandknowledge exchange that
may occur in external relationships (Mitchell and
Singh, 1996). Higher net worth customers, who
tend to be more knowledgeable about the Inter
net and demandmore sophisticated services,may
be more likely to adopt Internetservices (Rogers,
1995). Imeasure customer affluence as the ratio
of deposit accounts over $100,000 divided by all
bank deposits. Finally, I control for thenumberof
employees in a bank's e-business unit. This vari
able, measured as the log of a bank's number of
e-business employees, controls for the costs and
efforts a firm expands internally to adopt a new
technology.
At themarket level, Icontrol formarket concen
tration,which is the four-firmconcentration ratio
of deposits in a bank's market defined by the num
ber of states inwhich that bank has operations. Lit
erature in economics attests to links between mar
ket concentration and innovative activity, arguing
thatmarket concentrationmay negatively affect
innovative activity by inhibiting competition and
potential returns from innovation (Levin, Levin,
and Meisel, 1987; Acs and Audretsch, 1987).
Hence, market concentrationmay limit a firm's
incentive to invest in building capabilities related
to a new technology since the returns may not be
worth the effort in thepresence of limited compe
titiondue to high concentration.
Analysis
Estimating the effect of outsourcing on both inte
grative capabilities andperformance in themarket
(customer adoption) requires two important con
siderations. First, since managers tend to choose
their degree of technology outsourcing based on
theirexpectation thata certain degree of outsourc
ingwill yield greater returnsthananother,a firm's
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 607
outsourcing decision may introduce endogeneity
bias (HamiltonandNickerson, 2003). Second, out
sourcing is likely to have a simultaneous rather
than sequential effect on integrative capabilities
and performance in themarket. The process of
capability building is likely to occur at the same
time as customer adoption.Firms build capabilities
for a new technology as they offer it to customers,
as they receive feedback from customers adopting
the technology, and as they tweak the technology.
Regarding the first consideration, I test for
potential endogeneity applying the Davidson
Hausman-Wu test of endogeneity (Wooldridge,
2003). The hypothesis for the presence of endo
geneity in degree of outsourcingwas rejected for
both dependent variables (integrative capabilities
t= 1.24, p = 0.27 and performance in the market
t= 1.10, p = 0.30). Thus, potential endogeneity
of degree of outsourcing does not seem to be a
problem in thisdataset7.
Given the absence of endogeneity of outsourc
ing in themodel, but considering the concern for
potential simultaneity of integrative capabilities
and performance, I apply a seemingly unrelated
regression (SUR) model (Zellner, 1962) using
STATA to test the hypotheses. I estimate the fol
lowing set of equations where Xi and Zi are vectors
predicting the respective dependent variable.
Integrativecapabilitiesi= & + /,
degree of outsourcingi + P2 Xi + Si (1)
Performance in the marketi = 83
+ ,84
degree of outsourcingi + f85 Zi + 7i (2)
An SUR is an extension of a linear regression
thatpermits correlated errors between equations.
Correlation in error termsbetween equationswith
different dependent variables is particularly likely
when both equationsutilize the same dataset.Fur
ther,given theabsence of endogeneity of outsourc
ing in the model, an SUR model is preferable to a
3SLS because itdoes not require instruments,and
hence is likely to yield more precise estimates.8
I also estimate two-limit Tobit regressions for
integrative capabilities bound between one and
seven andperformancebound between one percent
and 100 percent customer adoption.Tobit is appro
priate for dependent variables thathave observa
tions thatare censored by a lower and upper limit
bound.Tobit estimates the likelihood thata depen
dentvariableexceeds a thresholdvalue (zero forno
customer adoption) and its value, if it exceeds the
threshold. In this study, Tobit estimates both the
likelihood that a new technology yields customer
adoption and the extent towhich it does so.
RESULTS
Table 1 presentsmeans, standarddeviations, and
correlations for themeasures. Degree of outsourc
ing correlates negatively with integrativecapabil
ities (r= -0.43) and performance (r= -0.53).
Experience in prior related technology correlates
positively with the dependent variables (r= 0.20
and r= 0.12, respectively) and negatively with
degree of outsourcing (r=-0.21).
Integrative capabilities and performance in the
market estimates
Table 2 presents the results for the SUR testing
therelationshipbetween degree of outsourcing and
integrativecapabilities (Hypothesis la) andperfor
mance in themarket (Hypothesis lb) inModel
1 of Equations 1 and 2, respectively. Model 1
of Equation 1 predicts the effect of outsourcing
on integrative capabilities, which is significant
and negative (,8= -0.023; p < 0.001), indicat
ing that greater outsourcing of new technology
7
Given the absence of endogeneity of outsourcing in this dataset,
the use of a two-stage least squares (2SLS) or three-stage least
squares (3SLS) approach is not necessary. While Heckman two
stage models are commonly used to control for the endogeneity
of dichotomous or categorical variables capturing outsourcing,
a 2SLS or 3SLS approach is used to account for the potential
endogeneity of continuous variables (Hamilton and Nickerson,
2003).
8
To ensure the robustness of the model results presented in
this article, I estimated several additional models. First, even
though the Davidson-Hausman-Wu test of endogeneity showed
that potential endogeneity resulting from degree of outsourcing
was not a concern in this data, I estimated a 3SLS regression
model (Wooldridge, 2003). The results for the hypotheses were
consistent with those reported in Table 2. Second, I estimated
separate 2SLS models for both integrative capabilities and per
formance in the market, respectively, which account for potential
endogeneity of outsourcing, but not for potential simultaneity.
Again, the results were consistent with those shown in the study.
These tests ensure the robustness of the SUR results shown in
this article.
9
Although 132 banks replied to both surveys, some banks had
incomplete data reducing observations to 94.
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOL: l0. 1002/sm'J
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
608 C.Weigelt
N~~~~~~~~~~~
_ oNo
00 ~ ~ ~ ~ ~ ~ 0
CCl
I I
_0 8 ~-c 0 o -
ON
_ ~~~~~~o o o~
o c O C
M
r CM k
C C 0 C
o~~~~~~
00 00o~ -o
_~~~~~~ _ - o o ot
I I I
o Cl tC C o 00 _
oo oN~ o o N m I_
- o o o o 6 6
I I I I
0l
-
~C 0 C 0 0 C
o
C) oocoXoV
N~~~~~~
tn ot C )
r- >c-r Ca,I N o
0 a00
o
U666 6oo
? C
II II Ii I C0
-o 66666o _o a).
I
o
o I I
_ o N Cs _ N Ct
- l
??
o m .00_ C 00
o.000 0 0t
o Cl-_m
--
o00o 0Cl 0
_O
0 0 0 0 0
o
Cl 00
o0 ol ol
= .%~~~~~~~~~~~~~~~~E
- Ct~l0 l -0 l C
r
>^
>t00 >00 t00Cl00000 Olt
*
W
~Cl 0 O V _
_,41'.iS'- II
Coynh C lC00 lJhnWley & Sons, Ltd.
leads to lower integrative capabilities. This con
firmsHypothesis la.Among thecontrol variables,
scope, number of external partners, and market
concentration exhibit a negative, significant effect
on integrativecapabilities.
Model 1of Equation 2 predicts theeffect of out
sourcing on performance in themarket. Degree
of outsourcing is negative and significant (,8=
-0.197; p < 0.001), indicating that greater out
sourcing for a new technology lowersperformance
in themarket, supportingHypothesis lb. Among
the control variables, collaboration has a positive
significant effect on performance in themarket.
I also estimated Tobit models predicting inte
grative capabilities and performance in themarket
(Hypotheses la and lb). The results are consistent
and presented in Table 2.
Estimates of the interaction effect
Model 2 presents results of the interactioneffect
between degree of outsourcing and experience in
prior related technology, testing Hypotheses 2a
and 2b that predict that the negative impact of
outsourcing on integrative capabilities (Hypothe
sis 2a) andperformance in themarket (Hypothesis
2b) is less for firmswith experience inprior related
technology. The interaction is positive and sig
nificant in Model 2 of both Equations 1 and 2
(,8 = 0.043; p < 0.001 and ,B
= 0.197; p < 0.01,
respectively).Additionally, I estimatedTobitmod
els to test Hypothesis 2b. Consistent with the
results in Model 2 of Equation 2, the interac
tion effect is positive and significant (, = 0.222;
p < 0.001).
To gain further insights into the interaction
between experience in prior related technology
and outsourcing, I graphed the interaction for
firmswith and without prior experience at dif
ferent degrees of outsourcing in Figure la and lb
(Aiken and West, 1991). The graph in Figure la
shows that as outsourcing increases, firmswith
prior experience exhibit far less of a decline in
integrative capabilities than firms without prior
experience. In fact, the line is close to horizontal
for firmswith prior experience. Furthermore,firms
with experience inprior related technology achieve
higher integrative capabilities in the presence of
outsourcing, a finding consistent with absorptive
capacity arguments (Cohen andLevinthal, 1990).
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 609
0
"0 0 t 00 me
0-0 ?t t m >
t C l
**
s cl n *
4- V
'
on Z o) ^
moN
N
oo
E0
,c
0 ~6
c Cl
0 l 0 0 *- 0Cl0
r- Z cn 00't< N 0. t
v~ r
O *
C
=~~~7 n W. rn CA o
N o ^ 00 w o
**o r- *m*
Q r ? n?? > o o ? ? , t o > t m N ? t
_- Cl 0 01 0 '* N O) 00
I~ I ~
3
Icl t I i Cr r o flo^ C
l* o
i
H >m t
o0 1 0-- 0NCl00 0o 000In 0 &Cl0to: 'n
= X o * **0
ct~~~~~'
W) M V' *0 W) M o^N00 o ^ ON 00 z oo ^ N t *mt
0 - "-'0"-'In
I~~~~~~~I
0
~~~~~~??7?f
0
0 0 H > ^* *m ^m ^ ^ ^m ^ ^* ^ ^ * ^ *
- *3
Qc0N N8 0&N * m r
8 I N?t z ?? Cs
~0 I I I > 0 o : * 7 ?40 0 0 Xo
N >7so
0 N*0 0 0 . o
W)
0 0~~~~~~~~~CO
Q
000'_ ?00^ N
^
>
oo
N
0
C
m
o N ; * *
o> '0 S *Ifl00 00 N t C , C f4 Cl
2
0
.= s N **o :**o*** ***
e
0
)i 0
0 oooo ?
0, _ I
? r
1J 1 * * *I X
0 ClCl~~~~~6~~ . *~~~~. Cl~~~~0InCl 0~~~~~-* ~~~~0~~-0 7: C
O .00;
0
*OtO0ommOtN0>>>??o4 4*N *^ * 0
X
l l l S| >N:
| | : 7T| :
~~~~~~~~0
00Cl0 't ,
*-E
t) e ;Cl C l 0 0 0 C l 0 N ~ 0 N ~ . 0 0 N 0 0 ~ o o
t
"
0
00 l f ) - * 0
Q
C l ~ - ~ 0 . t 1 ~ 6 O Cl Cl "':t
1t~ 0
0 00
.=~~
66'U~666o o 6X W
0tIIQI. S
E I
I m I
YmXs~~~~~~~~~~~
4 ae E w 2 Q , Q i S S M aN; X;.~~~~
0oyih ")20 onWly&Sos t.Srt gt J,3:5566(09
0~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~DI 0010/m
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
610 C.Weigelt
(a) 6
5
-
U)
e4
2 3 -, -|4- PC banking
No PC banking
C)c
2-
0
x=O x=1 00
Degree of outsourcing
(b) 40
35
30
00
? 5
20 - PC banking
En
d20
-4-
PCObanking
L
X 15-0
5 -
X=0 x=1 00
Degree of outsourcing
Figure 1. Interaction between degree of outsourcing and
experience in prior related technology (PC banking)
In fact, there is no difference in integrative capa
bilities between firms with and without prior expe
rience at zero outsourcing.Thus, prior experience
mitigates the negative effect of outsourcing, sup
portingHypothesis 2a.
Figure lb shows that under conditions of verti
cal integration, firms realize similar levels of per
formance in the market regardless of their prior
experience. However, as firms begin to outsource,
the gap in performance realized by firms with
and without experience in prior related technol
ogy widens. Although both groups of firms show
a decline in performance as outsourcing increases,
this decline is less for firms with prior experience.
Thus, firms with experience in prior related tech
nology achieve higher performance in the market
when outsourcing than firmswithout experience.
The finding indicates that prior technological expe
rience can be leveraged in the marketplace and
thereby mitigates the negative effect of outsourc
ing, supportingHypothesis 2b.
In summary, the results show that outsourcing
negatively impactsa firm's integrativecapabilities
and performance in the market. However, experi
ence in prior related technology reduces the nega
tive effect of outsourcing.
Copyright ?) 2009 JohnWiley & $ons, Ltd.
DISCUSSION AND CONCLUSION
This study provides new insights into the impact of
new technologyoutsourcingon a firm's integrative
capabilities and performance in the market. The
findings imply thatgreateroutsourcing forbusiness
process enhancing technologies (Attewell, 1992;
Swanson, 1994) lowers a firm's integrative capa
bilities and performance in the market. This neg
ative effect of outsourcing is likely due to two
reasons.First, althoughoutsourcingprovides firms
with access to specialized technologies, thebuild
ingof integrativecapabilities related to these tech
nologies requireslearningby doing and investment
in internal processes (Ethiraj et al., 2005; Zollo
andWinter, 2002). Given thatbusiness processes
are idiosyncratic, firms are likely to learn in situ
about a new technology while using it (Attewell,
1992). Such learning,however, decreases as out
sourcing increases. Hence, to build integrative
capabilities for a new technology, firms need to
be involved in the technology adoption process.
Passive capability accumulation is unlikely, and
outsourcing cannot simply substitute for internal
capabilities (Powell et al., 1996). Thus, although a
firm may outsource to obtain a technology, it still
needs to understand how the technology relates
to its internal processes (Brusoni, Prencipe, and
Pavitt, 2001).
Second, outsourcing may interfere with firm
processes designed to raise customers' perceived
value of a new technology and, hence, customers'
adoption of the technology. Understanding how
customers perceive and interact with a new tech
nology depends on a set of interdependent, tacit
processes, such as collecting informationon cus
tomer needs, interpreting it, and disseminating
it throughout the firm (Day, 1994). These pro
cesses may be interrupted when activities are split
into subtasks between a firm and external parties.
Moreover, learning about customer preferences is
a process of successive approximation that varies
across firms due to customers' variability in pref
erences (Attewell, 1992; Frei, 2006). As such,
this process is difficult to standardize or plan in
advance, which may require frequent updating and
renegotiation inoutsourcing relationships.
This study finds that greater vertical integra
tion is superior to outsourcing of business pro
cess enhancing technologies. These findings are
consistent with RBV and KBV arguments that
state that greater vertical integration is preferred
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: l0.1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 611
for interdependentactivities involving tacitknowl
edge (Kogut and Zander, 1992). Given a com
mon language and shared understanding among
employees, vertical integration is superior for the
coordination of tacit, context-specific know-how
(Leonard-Barton, 1995; Monteverde, 1995;
Leiblein et al., 2002). On the other hand, there
are conditions under which outsourcing may be
superior tovertical integrationand enable firms to
offer higher quality products and realize cost sav
ings (Rosenzweig, 1994;Dyer, 1996;Mitchell and
Singh, 1996). According to theKBV, outsourc
ing isbeneficial for sequential, low interdependent
activitieswhere the interfacebetween activities is
well known (Kogut andZander, 1992). Outsourc
ingmay also be suitable for products or services
previously performed in-house thatcanbe obtained
at lowercost or higher quality outside. In thatcase,
outsourcing affects known services thatoften have
become peripheral to a firm'score andwhose link
ages to other system components arewell known.
In contrast, this is not the case with new busi
ness process enhancing technologieswhose inter
actions with firm processes are not fully known
until their deployment (Attewell, 1992). Hence,
when deciding to outsource, firms should consider
the interdependenceof activities and theneed for
tacitknowledge exchange among activities.
Overall, the finding of a negative effect of
outsourcing emphasizes thatalthough outsourcing
gives firms access to a new technology, it does
not guarantee that a firm can use and deploy the
technology in themarket (Hamel, 1991). There
fore, it is importantto delineate between offering
anew technology tocustomersvia outsourcing and
learninghow to use it.Outsourcingmay endow a
firmwith new technology applications for its cus
tomers,but these shouldnot be equatedwith better
performance in themarket. In fact, offering new
technology applications through outsourcing can
be costly if customers do not adopt the new offer
ings. This may be the case if outsourcing results
in technology applications that are little tailored
to a firm's customers. As outsourcing increases,
a firm's staff may push a new technology less to
theircustomers because they do not feel involved
in the technology's success. Hence, internal staff
involvement is advisable when outsourcing for a
new technology in order to ensure the building
of integrative capabilities related to the technol
ogy and the application of firm-specific customer
knowledge.
Copyright ? 2009 JohnWiley & Sons, Ltd.
Moreover, the negative effect of outsourcing is
more pronounced for firmswithout experience in
prior related technology. These firms exhibit a
drastic decline in integrativecapabilities and per
formance in themarket as outsourcing increases.
Thus, although prior experience provides absorp
tive capacity (Cohen and Levinthal, 1990), the
findings show limits to benefits from absorptive
capacity: prior experience can reduce but neither
eliminates nor reverses thedownside of outsourc
ing.However, as outsourcing decreases, the dif
ference in integrativecapabilities andperformance
between firmswith andwithout experience inprior
related technology declines. Hence, as outsourcing
decreases, prior experience seems not toprovide a
distinguishing advantage,perhapsbecause benefits
from absorptive capacity are countered by inertia
resulting from prior IT investment that functions
as a short-run substitute for a new technology.
That is, prior experience that enhances a firm's
ability to tailor a new technology to customer
needs may not lead to greater customer adoption
if there is a prior technology thatcustomers have
already adopted and that they perceive as a viable
alternative (Rogers, 1995). Prior experience also
may not lead to greater new capabilities if there
are sunk costs from learning the prior technol
ogy (Forman,2005). However, greateroutsourcing
widens thegap in integrativecapabilities and per
formance between firmswith and without prior
experience, implying that firms should not under
estimate the role of prior experience in absorbing
externalknow-how.
This studyhas limitations.First, studying a sin
gle technologywithin a single industryavoids the
difficulty of controlling fordifferences across tech
nologies and industries in potential profitability,
capital costs, and technology advancement (Levin
et al., 1987).However, a single-industry studyalso
has limitations,especially regardingitsgeneraliza
tion.This study's findings are applicable to firms
in other industries, such as retail, travel, broker
age, or education, thatoutsourcenew technology to
enhancebusiness processes. Further, severalof the
major technology vendors for the banking indus
try,e.g., EDS orFISERV, also provide technology
solutions to the health care, retail, telecommuni
cation, and energy industry.With this inmind,
there is reason to believe that this study's find
ings can be generalized to other industry con
texts.
Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10. 1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
612 C.Weigelt
Second, this study's findings provide insights
into the outsourcing-performance link. Specifi
cally, banks thatoutsource achieve less customer
adoption of a new technology. Thus, while this
study shows thatoutsourcing negatively affects a
firm's performance in themarket with customer
adoption being a suitable performance measure
in the context of customer-facing technologies, it
does not provide insights into performance out
comes from a cost minimization standpoint or
customer profitability, a performancemeasure that
relates revenues to costs.
Third, little besides the degree of outsourcing
and collaboration is known about the character
of the outsourcing relationship. The impact of
outsourcing on integrative capabilities and per
formance in the market may vary based on the
supplier's skills, the specific tasksperformed, and
the supplier'sprior contactswith thebuyer.Future
research could study how partner characteristics
affect a firm's capabilities and performance. In
addition, researcherscould use amore fine-grained
measure of outsourcing, distinguishing between
R&D, service/product delivery, consulting ser
vices, and support services.
Fourth,while integrativecapabilities as amea
sure are based on survey data in this study, future
research could try to devise new approaches for
collecting archivalmeasures of integrative capa
bilities. Finally, future research could study how
internalefforts, such as coordinationacross depart
ments and units, affect an adopting firm's integra
tive capabilities and performance in the market.
ACKNOWLEDGEMENTS
I gratefully acknowledge helpful comments that
have substantially improved thework fromMar
garet Cording, Margarethe Wiersema, SMJ Edi
tor Richard Bettis, and two anonymous review
ers. Financial support for the data collection was
provided by aNational Science Foundation grant
(#332-0043) and a Financial Services Exchange
grant.
REFERENCES
Acs ZJ, Audretsch DB. 1987. Innovation, market struc
ture, and firm size. Review of Economics and Statistics
69(4): 567-574.
Aiken LS, West SG. 1991. Multiple Regression: Testing
and Interpreting Interactions. Sage Publications:
Newbury Park, CA.
Amit R, Schoemaker PJH. 1993. Strategic assets and
organizational rent. Strategic Management Journal
14(1): 33-46.
Arrow K. 1974. The Limits of Organization. W.W.
Norton: New York.
Attewell P. 1992. Technology diffusion and organiza
tional learning: the case of business computing. Orga
nization Science 3(1): 1-19.
BAI. 1999. Managing Technology Investment Decisions.
Banking Administration Institute: Chicago, IL.
Barney JB. 1991. Firm resources and sustained competi
tive advantage. Journal of Management 17: 99-120.
Bettis RA, Bradley SP, Hamel G. 1992. Outsourcing and
industrial decline. Academy of Management Executive
6: 7-22.
Bielski L. 2003. Hard to get the online habit: billpay
adoptions gradually increase-especially at a handful
of banks-but broad use will take years. ABA Bank
ing Journal 95: 1 February: 79-86. Available at:
http ://www .allbusiness .com/marketing/market
research/458119-1.html.
Bitner MJ, Ostrom AL, Meuter ML. 2002. Implementing
successful self-service technologies. Academy of
Management Executive 16(4): 96-109.
Bollen K, Lennox R. 1991. Conventional wisdom on
measurement: a structural equation perspective.
Psychological Bulletin 110(2): 305-314.
Borys B, Jemison DB. 1989. Hybrid arrangements as
strategic alliances: theoretical issues in organizational
combinations. Academy of Management Review 14:
234-249.
Boynton A, Zmud R, Jacobs G. 1994. The influence of IT
management practice on IT use in large organizations.
MIS Quarterly 18: 299-320.
Brown SL, Eisenhardt KM. 1997. The art of continuous
change: linking complexity theory and time-paced
evolution in relentlessly shifting organizations.
Administrative Science Quarterly 42: 1-34.
Brusoni S, Prencipe A, Pavitt K. 2001. Knowledge spe
cialization, organization coupling, and the boundaries
of the firm: why do firms know more than they make?
Administrative Science Quarterly 46(4): 597-625.
Chesbrough HW, Teece DJ. 1996. When is virtual
virtuous? Organizing for innovation. Harvard Business
Review 74(1): 65-73.
Cockburn I, Henderson R. 1998. Absorptive capacity, co
authoring behavior, and the organization of research in
drug discovery. Journal of Industrial Economics 46:
157-183.
Cohen MD, Bacdayan P. 1994. Organizational routines
are stored as procedural memory: evidence from a
laboratory study. Organization Science 5(4): 554-568.
Cohen WM. 1995. Empirical studies of innovative activ
ity. In Handbook of the Economics of Innovation and
Technological Change, Stoneman P (ed). Blackwell
Publishers: Cambridge, MA; 182-264.
Cohen WM, Levinthal DA. 1990. Absorptive capacity:
a new
perspective
on
learning and innovation.
Administrative Science Quarterly 35: 128-152.
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10. 1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 613
Cohen WM, Levinthal DA. 1994. Fortune favors the
prepared firm. Management Science 40(2): 227-251.
Conner KR, Prahalad CK. 1996. A resource-based
theory of the firm: knowledge versus
opportunism.
Organization Science 7(5): 477-501.
Contractor F, Lorange P. 1988. Cooperative Strategies in
International Business. Lexington Books: Lexington,
MA.
Curran JM, Meuter ML. 2005. Self-service technology
adoption: comparing three technologies. Journal of
Services Marketing 19(2): 103-113.
Damanpour F. 1996. Organizational complexity and inno
vation: developing and testing multiple contingency
models. Management Science 42(5): 693-716.
Damanpour F, Evan WM. 1984. Organizational inno
vation and performance: the problem of 'organiza
tional lag.' Administrative Science Quarterly 29(3):
392-409.
Dandapani K. 2004. Success and failure inWeb-based
financial services. Communications of theACM 47(5):
31-33.
Davis FD. 1989. Perceived usefulness, perceived
ease of
use, and user acceptance of information technology.
MIS Quarterly 13(3): 319-339.
Day GS. 1994. The capabilities of market-driven
organizations. Journal of Marketing 58: (October):
37-52.
Demsetz H. 1988. The theory of the firm revisited.
Journal of Law, Economics, and Organization 4(1):
141-162.
DosSantos BL, Peffers K. 1995. Rewards to investors in
innovative information technology applications: first
movers and early followers in ATMs. Organization
Science 6(3): 214-259.
Durkin M, Howcroft B, O'Donnell A, McCartan
Quinn D. 2003. Retail bank customer preferences:
personal and remote interactions. International
Journal of Retail & Distribution Management 31(4/5):
177-189.
Dyer JH. 1996. Specialized supplier networks as a
source of competitive advantage: evidence from the
auto industry. Strategic Management Journal 17(4):
271-291.
Dyer JH, Nobeoka K. 2000. Creating and managing
a high-performance knowledge-sharing network: the
Toyota case. Strategic Management Journal, March
Special Issue 21: 345-367.
Eisenhardt KM, Tabrizi BN. 1995. Accelerating adap
tive processes: product innovation in the global com
puter industry. Administrative Science Quarterly 40:
84-110.
Ethiraj SK, Kale P, Krishnan MS, Singh JV. 2005.
Where do capabilities come from and how do they
matter? A study in the software services industry.
Strategic Management Journal 26(1): 25-45.
Ettlie JE. 1988. Taking Charge ofManufacturing. Jossey
Bass: San Francisco, CA.
FFIEC. 2003. E-banking Booklet. InFFIEC Information
Technology Examination Handbook, Federal Finan
cial Institutions Examination Council: Washington,
DC. Available at: http://www.ffiec.gov/ffiecinfobase/
booklets/e_banking/e_banking.pdf (accessed 13 July
2008).
Fichman RG, Kemerer CF. 1997. The assimilation
of software process innovations: an
organizational
learning perspective. Management Science 43(10):
1345-1363.
Forman C. 2005. The corporate digital divide: determi
nants of Internet adoption.Management Science 51(4):
641-654.
Fornell C. 1992. A national customer satisfaction
barometer: the Swedish experience. Journal of
Marketing 56(1): 6-21.
Frei FX. 2006. Breaking the trade-off between efficiency
and service. Harvard Business Review 84: (Novem
ber): 1-10.
Gerhart B, Wright PM, McMahan GC. 2000. Measure
ment error in research on the human resources and
firm performance relationship: further evidence and
analysis. Personnel Psychology 53(4): 855-872.
Gerhart B, Wright PM, McMahan GC, Snell SA. 2000.
Measurement error in research on human resources
and firm performance: how much error is there and
how does it influence effect size estimates? Personnel
Psychology 53(4): 803-834.
Glick WH, Huber GP, Miller CC, Doty DH, Sut
cliffe KM. 1990. Studying changes in organizational
design and effectiveness: retrospective event histories
and periodic assessments. Organization Science 1(3):
293-312.
Golden BR. 1992. The past is the past?or is it?The use
of retrospective accounts as indicators of past strategy.
Academy ofManagement Journal 35(4): 848-860.
Grant RM. 1996. Prospering in dynamically competitive
environments: organizational capability
as
knowledge
integration. Organization Science 7(4): 375-387.
Greco J. 1997. Outsourcing: the new
partnership. Journal
of Business Strategy 18(4): 48-54.
Gulati R, Singh H. 1998. The architecture of cooperation:
managing coordination costs and appropriation
concerns in strategic alliances. Administrative Science
Quarterly 43(4): 781-814.
Hamel G. 1991. Competition for competence and
inter-partner learning within international strategic
alliances. Strategic Management Journal, Summer
Special Issue 12: 83-103.
Hamilton BH, Nickerson JA. 2003. Correcting for
endogeneity in strategic management research.
Strategic Organization 1(1): 53-80.
Helfat CE. 1997. Know-how and asset complementarity
and dynamic capability accumulation: the case of
R&D. Strategic Management Journal 18(5): 339-360.
Helfat CE, Peteraf MA. 2003. The dynamic
resource
based view: capability lifecycles. Strategic Manage
ment Journal, October Special Issue 24: 997-1010.
Helfat CE, Raubitschek RS. 2000. Product sequencing:
co-evolution of knowledge, capabilities and products.
Strategic Management Journal, October-November
Special Issue 21: 961-979.
Huber GP, Power DJ. 1985. Retrospective reports of
strategic-level managers: guidelines for increas
ing accuracy. Strategic Management Journal 6(2):
171-180.
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOT: 10. 1002/sm'J
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
614 C.Weigelt
Iansiti M, Clark K. 1994. Integration and dynamic
capability: evidence from product development in
automobiles and mainframe computers. Industrial and
Corporate Change 3: 557-606.
Johnson M. 2003. Colliding with customers. Computer
world 15Dec: 20.
Katila R, Ahuja G. 2002. Something old, something
new: a longitudinal study of search behavior and
new
product introduction. Academy of Management
Journal 45(6): 1183-1194.
Kogut B, Zander U. 1992. Knowledge of the firm,
cominative capabilities, and the replication of
technology. Organization Science 3(3): 383-397.
Kohli AK, Jaworski BJ. 1990. Market orientation: the
construct, research propositions, and managerial
implications. Journal ofMarketing 54(2): 1-18.
Kumar N, Stern LW, Anderson JC. 1993. Conducting
interorganizational research using key informants.
Academy ofManagement Journal 36(6): 1633-1651.
Lavie D. 2006. The competitive advantage of intercon
nected firms: an extension of the resource-based view.
Academy ofManagement Review 31(3): 638-658.
Leiblein MJ, Miller DJ. 2003. An empirical examination
of transaction- and firm-level influences on the vertical
boundaries of the firm. Strategic Management Journal
24(9): 839-859.
Leiblein MJ, Reuer JJ, Dalsace F. 2002. Do make or
buy decisions matter? The influence of organizational
governance on
technological performance. Strategic
Management Journal 23(9): 817-833.
Leonard-Barton D. 1988. Implementation
as mutual
adaptation of technology and organization. Research
Policy 17: 251-267.
Leonard-Barton D. 1992. Core capabilities and core
rigidities:
a paradox in managing
new
product devel
opment. Strategic Management Journal, Summer Spe
cial Issue 13: 111-125.
Leonard-Barton D. 1995. Wellsprings of Knowledge:
Building and Sustaining the Sources of Innovation.
Harvard Business School Press: Boston, MA.
Leonard-Barton D, Deschamps I. 1988. Managerial influ
ence in the implementation of new
technology. Man
agement Science 34(10): 1252-1265.
Levin SG, Levin SL, Meisel JB. 1987. A dynamic
analysis of the adoption of a new technology: the case
of optical scanners. Review of Economics and Statistics
69(1): 12-17.
Levinthal DA, March JG. 1993. The myopia of learning.
Strategic Management Journal, Winter Special Issue
14:95-112.
Lovelock CH, Young RF. 1979. Look to consumers to
increase productivity. Harvard Business Review 57:
(May-June): 168-178.
McEvily SK, Chakravarthy B. 2002. The persistence of
knowledge-based advantage: an
empirical test for
product performance and technological knowledge.
Strategic Management Journal 23(4): 285-305.
McKendrick J. 2002. Leave computing to us: outsourcing
hits its stride in banking. Bank Technology News 1
Feb.
Meuter ML, Bitner MJ, Ostrom AL, Brown SW. 2005.
Choosing among alternative service delivery modes:
an
investigation of customer trial of self-service
technologies. Journal of Marketing 69: (April):
61-83.
Meyer AD, Goes JB. 1988. Organizational assimilation
of innovations: a multilevel contextual analysis.
Academy ofManagement Journal 31(4): 897-923.
Mitchell W, Singh K. 1996. Survival of business
using collaborative relationships to commercialize
complex goods. Strategic Management Journal 17(3):
169-195.
Monte verde KD. 1995. Technical dialog
as an incentive
for vertical integration in the semiconductor industry.
Management Science 41(10): 1624-1639.
Mowery DC, Oxley JE, Silverman BS. 1996. Strategic
alliances and interfirm knowledge transfer. Strategic
Management Journal, Winter Special Issue 17:
77-91.
Mowery DC, Rosenberg N. 1989. Technology and the
Pursuit of Economic Growth. Cambridge University
Press: Cambridge, UK.
Mytelka LK. 1985. Stimulating effective technology
transfer: the case of textiles in Africa. In International
Technology Transfer: Concepts, Measures, and Com
parisons, Rosenberg N, Frischtak C (eds). Praeger:
New York; 77-122.
Nelson RR, Winter SG. 1982. An Evolutionary Theory
of Economic Change. Harvard University Press:
Cambridge, MA.
Nicholls-Nixon CL,Woo CY. 2003. Technology sourcing
and output of established firms in a regime
of encompassing technological change. Strategic
Management Journal 24(7): 651-666.
Nishiguchi T. 1994. Strategic Industrial Sourcing :Tthe
Japanese Advantage. Oxford University Press: New
York.
Novak S, Eppinger SD. 2001. Sourcing by design:
product complexity and the supply chain. Management
Science 47(1): 189-204.
Parasuraman A. 2000. Technology readiness index (TRI):
a multiple-item scale to measure readiness to embrace
new
technologies. Journal of Service Research 2(4):
307-320.
Pennings JM, Harianto F. 1992. The diffusion of
technological innovation in the commercial banking
industry. Strategic Management Journal 13(1):
29-46.
Penrose ET. 1959. The Theory of theGrowth of theFirm.
Oxford University Press: Oxford, UK.
Pisano GP. 1990. The R&D boundaries of the firm: an
empirical analysis. Administrative Science Quarterly
35(1): 153-176.
Pisano GP. 1996. Learning-before-doing in the develop
ment of new process technology. Research Policy 25:
1097-1119.
Podsakoff PM, Organ DW. 1986. Self-reports in organi
zational research: problems and prospects. Journal of
Management 12(4): 531-544.
Polanyi M. 1967. The Tacit Dimension. Doubleday
Anchor: New York.
Poppo L, Zenger T. 1998. Testing alternative theories of
the firm: transaction cost, knowledge-based, and mea
surement explanations for make-or-buy decisions in
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10. 1002/smj
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
Technology Outsourcing, Capabilities, and Performance 615
information services. Strategie Management Journal
19(9): 853-877.
Powell WW, Koput KW, Smith-Doerr L. 1996. Interor
ganizational collaboration and the locus of innovation:
networks of learning in biotechnology. Administrative
Science Quarterly 41(1): 116-145.
Progent Research. 2002. Small business IT outsourc
ing white paper: outsourcing advantages. How
small business can benefit from coutsourcing IT
services. Progent Corporation: San Jose, CA.
http://www.progent.com/pdf/outsource.pdf (accessed
7 January 2009).
Purvis RL, Sambamurthy V, Zmud RW. 2001. The
assimilation of knowledge platforms in organizations:
an
empirical investigation. Organization Science
12(2): 117-135.
Ray G, Barney JB, Muhanna WA. 2004. Capabilities,
business processes, and competitive advantage:
choosing the dependent variable in empirical tests
of the resource-based view. Strategic Management
Journal 25(1): 23-37.
Rogers E. 1995. Diffusion of Innovations. Free Press:
New York.
Rosenberg N. 1982. Inside the Black Box: Technology and
Economics. Oxford University Press: Oxford, UK.
Rosenberg N. 1990.Why do firms do basic research (with
their own money)? Research Policy 19(2): 165-174.
Rosenzweig PM. 1994. International sourcing in athletic
footwear: Nike and Reebok. Field case 394189,
Harvard Business Publishing, Boston, MA.
Schoenecker TS, Cooper AC. 1998. The role of firm
resources and organizational attributes in determining
entry timing: a cross-industry study. Strategic
Management Journal 19(12): 1127-1143.
Simon HA. 1960. The New Science of Management
Decision. Harper & Row: New York.
Steensma HK, Corley KG. 2000. On the performance
of technology-sourcing partnerships: the interaction
between partner interdependence and technology
attributes. Academy of Management Journal 43(6):
1045-1067.
Swanson EB. 1994. Information systems innovation
among organizations. Management Science 40(9):
1069-1092.
Teece DJ. 1986. Profiting from technological innovation:
implications for integration, collaboration, licensing
and public policy. Research Policy 15: 285-305.
Thompson JD. 1967. Organizations in Action. McGraw
Hill: New York.
Utterback JM. 1974. Innovation in industry and the
diffusion of technology. Science 15: 658-662.
Wheelwright SC, Clark KB. 1992. Revolutionizing Prod
uctDevelopment: Quantum Leaps inSpeed, Efficiency,
and Quality. Free Press: New York.
Womack JP, Jones DT, Roos D. 1990. TheMachine that
Changed the World. Rawson Associates: New York.
Wooldridge JM. 2003. Introductory Econometrics: A
Modern Approach. South-Western College Publishing:
Cincinnati, OH.
Yeoh P-L, Roth K. 1999. An empirical analysis of
sustained advantage in the U.S. pharmaceutical
industry: impact of firm resources and capabilities.
Strategic Management Journal 20(7): 637-653.
Zellner A. 1962. An efficient method of estimating
seemingly unrelated regression equations and tests for
aggregation bias. Journal of theAmerican Statistical
Association 57: 348-368.
Zoilo M, Winter SG. 2002. Deliberate learning and
the evolution of dynamic capabilities. Organization
Science 13(3): 339-351.
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 1O.1002/sm'J
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions
616 C. Weigelt
APPENDIX
Key measures from survey
Integrativecapabilities related to thenew technol
ogy: seven-pointLikert scale (1= low; 7 = high)
(from second survey)
Rate thedegree towhich your bank:
1. Is capable of customizing standardized 'off
the-shelf' technology to your bank's Internet
applications
2. Is capable of developing futureapplications of
Internetbanking services
3. Has adequate IT skills tooperate Internetbank
ing in-house
All themeasures below are from the first
survey:
PC banking: Yes, from to (month/year)/No
Has your bank ever, at any time, offered a PC
direct-dialprogram for your retailcustomers? (PC
direct-dial programs require client software in
stalled onyour customers'PC with a directmodem
connection either toyour bankor toan Internetser
vice provider, such as AOL or AT&T, supporting
theservice on behalf of your bank.)
Outsourcing parties: number of external parties
Indicatewith howmany externalparties your bank
contractedfor each service.
Degree of outsourcing:
At the time when your bankfirst adopted each of the
following online services,what was thepercentage
of in-house development versus external arrange
ments (third party/vendor relationships)
that your bank used to implement each service?
In- Ex- # of
house temal external
parties
Account balance = 100%
inquiry and funds
transfer services
Bill payment services = 100%
Bill presentment = 100%
services
Credit/loan/mortgage = 100%
services
Investment = 100%
(non-FDIC insured)
services
Insurance services = 100%
Nontraditional = 100%
services (e.g., Web
site hosting,
account
aggregation, virtual
mall)
CRM (customer = 100%
relationship
management)
services in general
Time of adoption: Year:
- Month:
When did your Web site begin to offer transactional
capabilities?
IT strength: seven-point Likert scale
What was your bank's overall technology/IT knowl
edge and resources relative to peers at the time
when deciding to launch your initial Web presence?
1. Overall technology/IT knowledge
2. IT investments/budget
Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009)
DOI: 10. 1002/sm'J
This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC
All use subject to JSTOR Terms and Conditions

Contenu connexe

Similaire à 20536064.pdf

A comparative analysis of cost and benefit of using information technology in...
A comparative analysis of cost and benefit of using information technology in...A comparative analysis of cost and benefit of using information technology in...
A comparative analysis of cost and benefit of using information technology in...Alexander Decker
 
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIOD
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIODEFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIOD
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIODIJMIT JOURNAL
 
An Analytic Network Process Modeling to Assess Technological Innovation Capab...
An Analytic Network Process Modeling to Assess Technological Innovation Capab...An Analytic Network Process Modeling to Assess Technological Innovation Capab...
An Analytic Network Process Modeling to Assess Technological Innovation Capab...drboon
 
Adoption Of Mobile Technology In Business A Fit-Viability Model
Adoption Of Mobile Technology In Business  A Fit-Viability ModelAdoption Of Mobile Technology In Business  A Fit-Viability Model
Adoption Of Mobile Technology In Business A Fit-Viability ModelSteven Wallach
 
The impact of_information_technology_investment_an
The impact of_information_technology_investment_anThe impact of_information_technology_investment_an
The impact of_information_technology_investment_anHarshika Abeydeera
 
Planned Organizational Change Consequent to Advanced Manufacturing Technology...
Planned Organizational Change Consequent to Advanced Manufacturing Technology...Planned Organizational Change Consequent to Advanced Manufacturing Technology...
Planned Organizational Change Consequent to Advanced Manufacturing Technology...paperpublications3
 
Fueling Innovation through InformationTechnology in SMEsb.docx
Fueling Innovation through InformationTechnology in SMEsb.docxFueling Innovation through InformationTechnology in SMEsb.docx
Fueling Innovation through InformationTechnology in SMEsb.docxhanneloremccaffery
 
Need and value of IT Strategy
Need and value of IT StrategyNeed and value of IT Strategy
Need and value of IT StrategyAssignment Studio
 
Jacob work labor intensive and capital intensive techniques are
Jacob work labor intensive and capital intensive techniques are Jacob work labor intensive and capital intensive techniques are
Jacob work labor intensive and capital intensive techniques are RIYAN43
 
Influence of Human Factors on the Relationship between AMT Adoption and Organ...
Influence of Human Factors on the Relationship between AMT Adoption and Organ...Influence of Human Factors on the Relationship between AMT Adoption and Organ...
Influence of Human Factors on the Relationship between AMT Adoption and Organ...paperpublications3
 
Progress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docx
Progress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docxProgress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docx
Progress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docxstilliegeorgiana
 
Organizational Behavior Question#3
Organizational Behavior Question#3Organizational Behavior Question#3
Organizational Behavior Question#3Waseem Saeed
 
CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...
CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...
CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...Julio Figueroa
 
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docx
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docxRunning head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docx
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docxwlynn1
 
THE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSON
THE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSONTHE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSON
THE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSONsreeragtg
 
Achieving Cost Optimization via IT Integration
Achieving Cost Optimization via IT IntegrationAchieving Cost Optimization via IT Integration
Achieving Cost Optimization via IT IntegrationOnur Tamur
 
IT Value Research - Innovation, Organizational Capabilities and IT
IT Value Research - Innovation, Organizational Capabilities and ITIT Value Research - Innovation, Organizational Capabilities and IT
IT Value Research - Innovation, Organizational Capabilities and ITPremalatha Unnikrishnan
 
Read and analyze the attached case. You must discuss the case and ho.pdf
Read and analyze the attached case. You must discuss the case and ho.pdfRead and analyze the attached case. You must discuss the case and ho.pdf
Read and analyze the attached case. You must discuss the case and ho.pdfinfo324235
 
A Tool For Enhancing Innovation In Construction Organizations
A Tool For Enhancing Innovation In Construction OrganizationsA Tool For Enhancing Innovation In Construction Organizations
A Tool For Enhancing Innovation In Construction OrganizationsKristen Flores
 

Similaire à 20536064.pdf (20)

A comparative analysis of cost and benefit of using information technology in...
A comparative analysis of cost and benefit of using information technology in...A comparative analysis of cost and benefit of using information technology in...
A comparative analysis of cost and benefit of using information technology in...
 
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIOD
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIODEFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIOD
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIOD
 
BCTC.pdf
BCTC.pdfBCTC.pdf
BCTC.pdf
 
An Analytic Network Process Modeling to Assess Technological Innovation Capab...
An Analytic Network Process Modeling to Assess Technological Innovation Capab...An Analytic Network Process Modeling to Assess Technological Innovation Capab...
An Analytic Network Process Modeling to Assess Technological Innovation Capab...
 
Adoption Of Mobile Technology In Business A Fit-Viability Model
Adoption Of Mobile Technology In Business  A Fit-Viability ModelAdoption Of Mobile Technology In Business  A Fit-Viability Model
Adoption Of Mobile Technology In Business A Fit-Viability Model
 
The impact of_information_technology_investment_an
The impact of_information_technology_investment_anThe impact of_information_technology_investment_an
The impact of_information_technology_investment_an
 
Planned Organizational Change Consequent to Advanced Manufacturing Technology...
Planned Organizational Change Consequent to Advanced Manufacturing Technology...Planned Organizational Change Consequent to Advanced Manufacturing Technology...
Planned Organizational Change Consequent to Advanced Manufacturing Technology...
 
Fueling Innovation through InformationTechnology in SMEsb.docx
Fueling Innovation through InformationTechnology in SMEsb.docxFueling Innovation through InformationTechnology in SMEsb.docx
Fueling Innovation through InformationTechnology in SMEsb.docx
 
Need and value of IT Strategy
Need and value of IT StrategyNeed and value of IT Strategy
Need and value of IT Strategy
 
Jacob work labor intensive and capital intensive techniques are
Jacob work labor intensive and capital intensive techniques are Jacob work labor intensive and capital intensive techniques are
Jacob work labor intensive and capital intensive techniques are
 
Influence of Human Factors on the Relationship between AMT Adoption and Organ...
Influence of Human Factors on the Relationship between AMT Adoption and Organ...Influence of Human Factors on the Relationship between AMT Adoption and Organ...
Influence of Human Factors on the Relationship between AMT Adoption and Organ...
 
Progress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docx
Progress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docxProgress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docx
Progress Reporting 3 (Week 5)Greetings everyone,Thank you fo.docx
 
Organizational Behavior Question#3
Organizational Behavior Question#3Organizational Behavior Question#3
Organizational Behavior Question#3
 
CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...
CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...
CREATING AND SHARING KNOWLEDGE THROUGH A CORPORATE SOCIAL NETWORKING SITE: TH...
 
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docx
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docxRunning head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docx
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docx
 
THE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSON
THE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSONTHE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSON
THE ROLE OF INFORMATION RESOURCES AND ENTERPRISE SYSTEM IN DYSON
 
Achieving Cost Optimization via IT Integration
Achieving Cost Optimization via IT IntegrationAchieving Cost Optimization via IT Integration
Achieving Cost Optimization via IT Integration
 
IT Value Research - Innovation, Organizational Capabilities and IT
IT Value Research - Innovation, Organizational Capabilities and ITIT Value Research - Innovation, Organizational Capabilities and IT
IT Value Research - Innovation, Organizational Capabilities and IT
 
Read and analyze the attached case. You must discuss the case and ho.pdf
Read and analyze the attached case. You must discuss the case and ho.pdfRead and analyze the attached case. You must discuss the case and ho.pdf
Read and analyze the attached case. You must discuss the case and ho.pdf
 
A Tool For Enhancing Innovation In Construction Organizations
A Tool For Enhancing Innovation In Construction OrganizationsA Tool For Enhancing Innovation In Construction Organizations
A Tool For Enhancing Innovation In Construction Organizations
 

Plus de Tesfish Hailu

1051712X.2017.1345260.pdf
1051712X.2017.1345260.pdf1051712X.2017.1345260.pdf
1051712X.2017.1345260.pdfTesfish Hailu
 
1820-02141300020S.pdf
1820-02141300020S.pdf1820-02141300020S.pdf
1820-02141300020S.pdfTesfish Hailu
 
10-1108_02635570210421336.pdf
10-1108_02635570210421336.pdf10-1108_02635570210421336.pdf
10-1108_02635570210421336.pdfTesfish Hailu
 
1467-9663.00100 (1).pdf
1467-9663.00100 (1).pdf1467-9663.00100 (1).pdf
1467-9663.00100 (1).pdfTesfish Hailu
 
Entrepreneurship module 2020
Entrepreneurship module 2020Entrepreneurship module 2020
Entrepreneurship module 2020Tesfish Hailu
 
Life skills-assessment-div.-of-children
Life skills-assessment-div.-of-childrenLife skills-assessment-div.-of-children
Life skills-assessment-div.-of-childrenTesfish Hailu
 

Plus de Tesfish Hailu (11)

20721414 (1).pdf
20721414 (1).pdf20721414 (1).pdf
20721414 (1).pdf
 
20721414.pdf
20721414.pdf20721414.pdf
20721414.pdf
 
29789426.pdf
29789426.pdf29789426.pdf
29789426.pdf
 
1051712X.2017.1345260.pdf
1051712X.2017.1345260.pdf1051712X.2017.1345260.pdf
1051712X.2017.1345260.pdf
 
1820-02141300020S.pdf
1820-02141300020S.pdf1820-02141300020S.pdf
1820-02141300020S.pdf
 
10-1108_02635570210421336.pdf
10-1108_02635570210421336.pdf10-1108_02635570210421336.pdf
10-1108_02635570210421336.pdf
 
1467-9663.00100 (1).pdf
1467-9663.00100 (1).pdf1467-9663.00100 (1).pdf
1467-9663.00100 (1).pdf
 
1467-9663.00100.pdf
1467-9663.00100.pdf1467-9663.00100.pdf
1467-9663.00100.pdf
 
Entrepreneurship module 2020
Entrepreneurship module 2020Entrepreneurship module 2020
Entrepreneurship module 2020
 
Life skills-assessment-div.-of-children
Life skills-assessment-div.-of-childrenLife skills-assessment-div.-of-children
Life skills-assessment-div.-of-children
 
Be chapter four
Be chapter fourBe chapter four
Be chapter four
 

Dernier

83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar
83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar
83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagardollysharma2066
 
Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...
Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...
Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...anilsa9823
 
ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111
ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111
ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111Sapana Sha
 
How To Troubleshoot Mercedes Blind Spot Assist Inoperative Error
How To Troubleshoot Mercedes Blind Spot Assist Inoperative ErrorHow To Troubleshoot Mercedes Blind Spot Assist Inoperative Error
How To Troubleshoot Mercedes Blind Spot Assist Inoperative ErrorAndres Auto Service
 
一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理
一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理
一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理ezgenuh
 
9990611130 Find & Book Russian Call Girls In Vijay Nagar
9990611130 Find & Book Russian Call Girls In Vijay Nagar9990611130 Find & Book Russian Call Girls In Vijay Nagar
9990611130 Find & Book Russian Call Girls In Vijay NagarGenuineGirls
 
Chapter-1.3-Four-Basic-Computer-periods.pptx
Chapter-1.3-Four-Basic-Computer-periods.pptxChapter-1.3-Four-Basic-Computer-periods.pptx
Chapter-1.3-Four-Basic-Computer-periods.pptxAnjieVillarba1
 
John Deere Tractors 6130M 6140M Diagnostic Manual
John Deere Tractors  6130M 6140M Diagnostic ManualJohn Deere Tractors  6130M 6140M Diagnostic Manual
John Deere Tractors 6130M 6140M Diagnostic ManualExcavator
 
John deere 425 445 455 Maitenance Manual
John deere 425 445 455 Maitenance ManualJohn deere 425 445 455 Maitenance Manual
John deere 425 445 455 Maitenance ManualExcavator
 
一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国
一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国
一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国ezgenuh
 
design a four cylinder internal combustion engine
design a four cylinder internal combustion enginedesign a four cylinder internal combustion engine
design a four cylinder internal combustion enginepiyushsingh943161
 
What Could Cause Your Subaru's Touch Screen To Stop Working
What Could Cause Your Subaru's Touch Screen To Stop WorkingWhat Could Cause Your Subaru's Touch Screen To Stop Working
What Could Cause Your Subaru's Touch Screen To Stop WorkingBruce Cox Imports
 
Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class Service 100% Saf...
Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class  Service 100% Saf...Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class  Service 100% Saf...
Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class Service 100% Saf...shivangimorya083
 
Delhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Sales & Marketing Alignment_ How to Synergize for Success.pptx.pdf
Sales & Marketing Alignment_ How to Synergize for Success.pptx.pdfSales & Marketing Alignment_ How to Synergize for Success.pptx.pdf
Sales & Marketing Alignment_ How to Synergize for Success.pptx.pdfAggregage
 
Call me @ 9892124323 Call Girl in Andheri East With Free Home Delivery
Call me @ 9892124323 Call Girl in Andheri East With Free Home DeliveryCall me @ 9892124323 Call Girl in Andheri East With Free Home Delivery
Call me @ 9892124323 Call Girl in Andheri East With Free Home DeliveryPooja Nehwal
 
Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...amitlee9823
 

Dernier (20)

83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar
83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar
83778-77756 ( HER.SELF ) Brings Call Girls In Laxmi Nagar
 
Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...
Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...
Lucknow 💋 (Genuine) Escort Service Lucknow | Service-oriented sexy call girls...
 
ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111
ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111
ENJOY Call Girls In Okhla Vihar Delhi Call 9654467111
 
How To Troubleshoot Mercedes Blind Spot Assist Inoperative Error
How To Troubleshoot Mercedes Blind Spot Assist Inoperative ErrorHow To Troubleshoot Mercedes Blind Spot Assist Inoperative Error
How To Troubleshoot Mercedes Blind Spot Assist Inoperative Error
 
Stay Cool and Compliant: Know Your Window Tint Laws Before You Tint
Stay Cool and Compliant: Know Your Window Tint Laws Before You TintStay Cool and Compliant: Know Your Window Tint Laws Before You Tint
Stay Cool and Compliant: Know Your Window Tint Laws Before You Tint
 
一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理
一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理
一比一原版(PU学位证书)普渡大学毕业证学历认证加急办理
 
9990611130 Find & Book Russian Call Girls In Vijay Nagar
9990611130 Find & Book Russian Call Girls In Vijay Nagar9990611130 Find & Book Russian Call Girls In Vijay Nagar
9990611130 Find & Book Russian Call Girls In Vijay Nagar
 
Chapter-1.3-Four-Basic-Computer-periods.pptx
Chapter-1.3-Four-Basic-Computer-periods.pptxChapter-1.3-Four-Basic-Computer-periods.pptx
Chapter-1.3-Four-Basic-Computer-periods.pptx
 
John Deere Tractors 6130M 6140M Diagnostic Manual
John Deere Tractors  6130M 6140M Diagnostic ManualJohn Deere Tractors  6130M 6140M Diagnostic Manual
John Deere Tractors 6130M 6140M Diagnostic Manual
 
John deere 425 445 455 Maitenance Manual
John deere 425 445 455 Maitenance ManualJohn deere 425 445 455 Maitenance Manual
John deere 425 445 455 Maitenance Manual
 
一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国
一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国
一比一原版(UVic学位证书)维多利亚大学毕业证学历认证买留学回国
 
design a four cylinder internal combustion engine
design a four cylinder internal combustion enginedesign a four cylinder internal combustion engine
design a four cylinder internal combustion engine
 
What Could Cause Your Subaru's Touch Screen To Stop Working
What Could Cause Your Subaru's Touch Screen To Stop WorkingWhat Could Cause Your Subaru's Touch Screen To Stop Working
What Could Cause Your Subaru's Touch Screen To Stop Working
 
Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class Service 100% Saf...
Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class  Service 100% Saf...Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class  Service 100% Saf...
Hot Modals Call Girls (Delhi) Dwarka9711199171✔️ High Class Service 100% Saf...
 
Delhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Vikaspuri 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Sales & Marketing Alignment_ How to Synergize for Success.pptx.pdf
Sales & Marketing Alignment_ How to Synergize for Success.pptx.pdfSales & Marketing Alignment_ How to Synergize for Success.pptx.pdf
Sales & Marketing Alignment_ How to Synergize for Success.pptx.pdf
 
(INDIRA) Call Girl Surat Call Now 8250077686 Surat Escorts 24x7
(INDIRA) Call Girl Surat Call Now 8250077686 Surat Escorts 24x7(INDIRA) Call Girl Surat Call Now 8250077686 Surat Escorts 24x7
(INDIRA) Call Girl Surat Call Now 8250077686 Surat Escorts 24x7
 
(INDIRA) Call Girl Nashik Call Now 8617697112 Nashik Escorts 24x7
(INDIRA) Call Girl Nashik Call Now 8617697112 Nashik Escorts 24x7(INDIRA) Call Girl Nashik Call Now 8617697112 Nashik Escorts 24x7
(INDIRA) Call Girl Nashik Call Now 8617697112 Nashik Escorts 24x7
 
Call me @ 9892124323 Call Girl in Andheri East With Free Home Delivery
Call me @ 9892124323 Call Girl in Andheri East With Free Home DeliveryCall me @ 9892124323 Call Girl in Andheri East With Free Home Delivery
Call me @ 9892124323 Call Girl in Andheri East With Free Home Delivery
 
Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Mumbai Call On 9920725232 With Body to body massage wit...
 

20536064.pdf

  • 1. Wiley is collaborating with JSTOR to digitize, preserve and extend access to Strategic Management Journal. http://www.jstor.org The Impact of Outsourcing New Technologies on Integrative Capabilities and Performance Author(s): Carmen Weigelt Source: Strategic Management Journal, Vol. 30, No. 6 (Jun., 2009), pp. 595-616 Published by: Wiley Stable URL: http://www.jstor.org/stable/20536064 Accessed: 01-10-2015 09:13 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/ info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 2. Strategic Management Journal Strat.Mgmt. J., 30: 595-616 (2009) Published online 12March 2009 in Wiley InterScience(www.interscience.wiley.com)DOI: 10.1002/smj.760 Received 5May 2006; Final revision received12 January2009 THE IMPACT OF OUTSOURCING NEW TECHNOLOGIESON INTEGRATIVE CAPABILITIES AND PERFORMANCE CARMENWEIGELT* A.B. Freeman School of Business, Tulane University, New Orleans, Louisiana, U.S.A. Outsourcing plays an important role for firms adopting new technologies. Although outsourcing provides access to a new technology, it does not guarantee that a firm can subsequently integrate the technology with existing business processes and leverage it in themarketplace. This distinction, however, has rarely been made in the literature. In the context of business process enhancing technologies, this study builds on the resource-based and knowledge-based views to study the impact of outsourcing onfirms' subsequent performance in themarket and their integrative capabilities, that is, a firm's capacity to use and assimilate a new technology with its business processes and build upon it.The study argues that greater reliance on outsourcing may reduce a firm's learning by doing, internal investment, and tacit knowledge applications, thereby impeding a firm's integrative capabilities and performance in themarket. The study uses survey and archival data on banks' outsourcing strategies for Internet adoption to test for the performance consequences of outsourcing, which are found to be negative. However, the findings also show that outsourcing is less detrimentalforfirms with experience inprior related technology. Copyright ? 2009 JohnWiley & Sons, Ltd. INTRODUCTION Few firms can stay abreast of all new technol ogy developments through internal efforts alone (Teece, 1986; Contractor and Lorange, 1988). Outsourcing relationships with technology ven dors have become widespread and have evolved from outsourcing of repetitive and fairly special ized tasks to outsourcing of more complex tech nologies and entire business processes (Greco, 1997; Fichman and Kemerer, 1997). In 2000, over half of all information technology (IT) ser vices in North America were outsourced (Pro gentResearch, 2002). As theoutsourcing of entire business processes becomes more common, the Keywords: outsourcing; capabilities; technology; perfor mance; banking *Correspondence to: Carmen Weigelt, A.B. Freeman School of Business, TulaneUniversity, 7McAlister Drive, New Orleans, LA 70118, U.S.A. E-mail: cweigelt@tulane.edu questions arise of whether outsourcing is always beneficial, andwhether thereare limits tobenefits from outsourcing. Prior research is equivocal about the perfor mance implications of outsourcing. On the one hand, prior work views outsourcing as a means to increase efficiency, reduce costs, or foster inno vation by gaining access to cutting-edge technolo gies, specialized resources, and learningopportu nities (Hamel, 1991; Powell, Koput, and Smith Doerr, 1996; Mowery, Oxley, and Silverman, 1996;Mitchell andSingh, 1996;Brown andEisen hardt, 1997; Poppo and Zenger, 1998). On the other hand, researchersargue thatoutsourcing can lead to the hollowing of corporations, the depre ciation of firm capabilities (Bettis, Bradley, and Hamel, 1992), or impaired coordination across activities (Leonard-Barton,1995; Chesbrough and Teece, 1996). Further,prior research rarelydistin guishes between a firm gaining access to a new Copyright ? 2009 JohnWiley & Sons, Ltd. This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 3. 596 C.Weigelt technology and its subsequent ability to internal ize and leverage such in themarket (Hamel, 1991; Ettlie, 1988). Thus, although externalpartners may provide access to a technology, such access may not fully substitute for internal learning (Attewell, 1992; Fichman andKemerer, 1997) or guarantee thata firmcan use anddeploy the technology in the market (Leonard-Barton,1988; Steensma andCor ley, 2000). Hence, the importantquestion arises: When does outsourcing hurt or benefit firm per formance? The distinction between gaining access toa tech nology and being able to effectively use it is particularly importantwhen a firm adopts a new technology to enhance business processes, such as service delivery. This is because the use of these technologies (which include customer-facing and information-systems applications) often requires that they be assimilated into ongoing firm pro cesses (Attewell, 1992; Purvis, Sambamurthy,and Zmud, 2001) as well as adopted by customers (Meuter et al., 2005). A firm must understand how the new technology interactswith its work pro cesses in order to adapt and reconfigure the tech nology to fit the idiosyncrasies of its business (Leonard-Barton, 1988; Meyer and Goes, 1988; Attewell, 1992; Swanson, 1994). The extent to which technology assimilation triggers new rou tinesandcapabilities insidea firm(Damanpourand Evans, 1984) may explain part of the variance in benefits that firmsderive from externally sourced technology. Furthermore,gaining access toa new technology does not automatically ensure that a firm can suc cessfully deploy the technology in themarket. For a firm to reap benefits from a new technology, such as cost savings from Internet banking or online reservation systems, its customers need to adopt the technology (Meuter et al., 2005). While the innovation literaturefocuses on customer traitsand technologycharacteristicsaspredictorsof adoption (Rogers, 1995), the services technology literature stresses thata better customer understandinghelps firmswith influencing theircustomers' technology adoption (Parasuraman, 2000; Bitner, Ostrom, and Meuter, 2002). Outsourcing may impactcustomer adoption of a new technology by affecting the firm customer relationship. This article studies the impact of the degree of new technology outsourcing on a firm's inte grative capabilities which reflect a firm's capac ity to use and assimilate a new technology into Copyright ?) 2009 JohnWiley & Sons, Ltd. its business processes and build upon it (Helfat and Raubitschek, 2000), and its performance in themarket, captured as customer adoption of a new technology. A firm's degree of outsourcing is the extent towhich it relies on a thirdparty's expertise versus efforts of its own staff to adopt a new technology.Building on thecapabilities liter ature (Penrose, 1959;Nelson andWinter, 1982), I argue thatgreater technology outsourcing reduces a firm's learningby doing and investment in inte grative capabilities. I also argue thatoutsourcing interfereswith firm processes used to raise cus tomers' perceived value of a technology, thereby hurting customer adoption. Finally, I testwhether firmswith prior related experience (Cohen and Levinthal, 1990) are less likely to suffer thedown sides of outsourcing. This studymakes several contributions to the lit eratures on capabilities and technology sourcing. First, by distinguishing between access to a tech nology and subsequent capabilities related to that technology, this study addresseswhether firmsare likely tobuild integrativecapabilities forexternally sourced technology. In doing so, this study con tributes to an emerging research stream that tries tobetterunderstand the sourcesof firmcapabilities (Ethirajet al., 2005).While the theoreticalnature of firm capabilities as valuable, inimitable, and path-dependent processes thatenable the deploy ment of resources and enhance firm performance is well conceptualized and empirically tested (Nelson and Winter, 1982; Barney, 1991; Amit and Schoe maker, 1993;Helfat, 1997;Yeoh andRoth, 1999), the same does not hold for our understanding of the sources of firm capabilities (Ethirajet al., 2005) and the role outsourcing plays therein.Capabil ities evolve through learning by doing (Nelson and Winter, 1982) and deliberate investment in resources and organization structures (Zollo and Winter, 2002), but the question remainswhether technology sourcing prevents the development of capabilities necessary for the effective use of that technology inside an adopting firm, and, if so, what firms may be able to do tomitigate the downside of outsourcing. Second, this study provides new insights into how outsourcing impacts customer adoption of a new technology and, hence, a firm's ability to leverage a new technology in the market. Most prior studies on outsourcing focus on manufac turing industries (e.g., semiconductor, automotive, or computer) (Dyer, 1996; Steensma and Corley Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 4. Technology Outsourcing, Capabilities, and Performance 597 2000; Leiblein, Reuer, andDalsace, 2002) rather than on customer-facing technologies, where the customer interactswith the technology. This dis tinctionmatters because inmanufacturing indus tries process outsourcing can be sheltered from the customer, thereby reducing potential disrup tions in the firm-customerrelationshipdue to out sourcing. For instance, despite outsourcing their shoe manufacturing, athletic footwear companies Nike andReebok isolated theircustomer relation ship from their outsourcing partner by retaining product design and marketing in-house (Rosen zweig, 1994). In contrast, technology outsourcing for the supportof service delivery directly affects customers, given their role as 'co-producers'of the service (Lovelock andYoung, 1979; Daman pour, 1996). For example, when outsourcing ser vice delivery, such as call centersor Internetappli cations, a firm's customers directly interactwith theoutsourcing partner.Customers' willingness to use outsourced services and theirperceptionof ser vice quality' affect a firm's ability to reapbenefits from outsourcing. Third, this study examines the role that prior experience with related technology plays inmiti gating thepotentially negative effects of outsourc ing on a firm's integrative capabilities and per formance in themarket. Studies building on ideas of the resource-basedview and evolutionary eco nomics note that capabilities develop in stages and build on prior related experience (Cohen and Levinthal, 1990; Helfat and Peteraf, 2003). This raises the question of whether firmswith prior experience are less likely to encounter potential downsides of outsourcing because their experi ence enables them to learnmore easily (Mowery et al., 1996). Prior experience may also enhance a firm'sunderstandingof thecustomer-technology link, thereby achieving a fit between technology attributesand customer needs despite outsourcing, which, in turn,is likely to enhance performance in themarket. This study is based on both archival and sur vey data of 94 U.S. banks that participated in two sequential surveys on Internet outsourcing strategies.The context of Internetbanking iswell suited for this study because outsourcing of new customer-facing technologies iswidespread in the financial services industry.Furthermore, Internet banking as a new service delivery channel affects a bank's business processes, and its success in themarket depends on customers' adoption of the technology. Finally, PC banking, a prior technol ogy related to Internetbanking thatwas first intro duced in the late 1980s, provides an opportunity for theanalysis of themoderating impactof experi ence inprior related technology on the relationship between new technology outsourcing and integra tive capabilities and performance in themarket, respectively. THEORY AND HYPOTHESES Technology outsourcing The conditionunderwhich technologyoutsourcing enhances or hurts performance is a central ques tion for both managers and strategy researchers, and the answer may depend on the source of valuable capabilities and a firm's ability to inte grate and apply them. The resource-based view (RBV) hints at benefits from outsourcing when other firms are the source of valuable capabili ties and outsourcing provides a firmwith access to these capabilities (Lavie, 2006; Penrose, 1959), but cautions firmsagainst outsourcingwhen valu able capabilities require learning by doing and the building of path-dependentknowledge stocks inside the firm. Thus, a firmmay benefit from outsourcing if it enables the firm to enrich its knowledge stock, tap into specialized resources, and fill voids in its technology portfolio (Wom ack, Jones, andRoos, 1990; Powell et al., 1996; Mitchell and Singh, 1996;Mowery et al., 1996; Steensma andCorley, 2000), which, in turn,may enhance performance by increasingproduct vari ety and speed tomarket (Brown and Eisenhardt, 1997) or by reducingproduction costs (Poppo and Zenger, 1998). Furthermore,by introducing firms to new technologies and know-how, outsourcing can counter pitfalls from local search and compe tency traps (Levinthal andMarch, 1993); pitfalls thatotherwisemay lead tocore rigiditiesormissed opportunities by restricting firms to the realm of theirexisting capabilities (Leonard-Barton,1992). Hence, technology outsourcing can provide firms with opportunities to strengthen their capability Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/smj 1 For example, customer dissatisfaction with the service and support provided by its outsourcing partner caused Dell to scale back on its outsourcing of customer service and bring part of the function back in-house. Thus, customer discontent with the outsourced service prevented Dell from realizing all the cost savings that outsourcing promised (Johnson, 2003). Copyright ? 2009 JohnWiley & Sons, Ltd. This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 5. 598 C.Weigelt base and performance in themarket beyond that possible through internalefforts alone. On the other hand, a central tenet of the RBV is thatvaluable capabilities are firm-specific and evolve within the firm (Barney, 1991; Nelson andWinter, 1982). Valuable capabilities are path dependentandaccumulateover time throughlearn ing by doing and deliberate investments in activ ities to build know-how (Ethiraj et al., 2005; Zollo andWinter, 2002). Building on these ideas, researchershave warned thatoutsourcing can lead to the hollowing of corporations and the depreci ation of internalcapabilities (Hamel, 1991; Bettis et al., 1992) and that thereforevertical integration ispreferred.These researchersargue thatoutsourc ing shifts investments inknowledge-building activ ities from the firm to the supplier, thusslowing the process of learningby doing inclient firms (Bettis et al., 1992). Firms' ability to integrate and apply external knowledge may also determine whether technol ogy outsourcing benefits or hurts firm integrative capabilities and performance in themarket. This ability, according to the knowledge-based view (KBV), depends on the tacitness of knowledge associated with a new technology and the inter dependence of activities carriedout between firms (Kogut and Zander, 1992; Grant, 1996). While explicit knowledge is easily exchanged among firms, tacit knowledge requires context-specific understanding to make sense, and, therefore, is 'sticky' to its owner and the context in which it has accumulated (Polanyi, 1967). Consistent with these ideas, Borys and Jemison (1989) find that supplier relationships for the transferof tacit tech nology knowledge failed more often than those transferringcodified technology. Similarly, Dem setz (1988) argues thattacitknowledge can only be obtained throughoutsourcing if it can be embed ded in the technology itself. Thus, if knowledge can be codified, for example in blueprints or pro totypes, outsourcing is likely to enable a firm to use external expertise to enhance its perfor mance. In contrast,when technology knowledge is tacit, vertical integration facilitates its transfer through shared experience and language among organizationmembers2 (Arrow,1974;Monteverde, 1995) and outsourcing is likely to be inferior. Further, the interdependence of activities that are required to integrate a new technology with internalprocesses affects thepotential for benefits fromoutsourcing (Kogut andZander, 1992;Grant, 1996). Interdependent activities require ongoing communication, knowledge exchange, andmutual adjustment between actors carrying out various parts of an activity (Thompson, 1967; Gulati and Singh, 1998).Outsourcing is likely tobe beneficial if activities have low interdependence,are sequen tial, and can be easily divided into separate sub activitieswith well-understood interfaces (Wheel wright and Clark, 1992). For example, Nike and Reebok achieved cost savings from outsourcing their shoemanufacturing. One can argue, accord ing to theKBV, that the outsourcing benefits in thiscasewere attributableto therelative sequential and low interdependenceof activities and thewell understood process of shoe manufacturing. Once Nike has designed a new shoe, itmakes a proto type that embodies much of the tacit knowledge thatwent into the shoe design. This prototype, in turn,aids in handing over the subtask of shoe manufacturing to a thirdparty. In contrast, verti cal integration ismore beneficial for activities that are interdependent, little understood ex ante, and require frequent knowledge exchange and learn ing insitu for theircompletion (Wheelwright and Clark, 1992;Gulati and Singh, 1998). Overall, RBV and KBV arguments imply that whether technology outsourcing benefits or hurts a firm's integrative capabilities and performance in the market depends not only on gaining access to a technology, but also on whether a firm can inte grate externally sourced technology with internal processes. Moreover, research finds that vertical integration tends to be superior to outsourcing for transferringtacit knowledge andmanaging inter dependent activities (Kogut and Zander, 1992; Leonard-Barton, 1995; Chesbrough and Teece, 1996; Leiblein et al., 2002). 2 A stream of research on buyer-supplier relationships in the Japanese auto industry suggests that firms with contracting, or relational, capabilities are sometimes able to recreate firm-like conditions for coordination of tacit knowledge among partners (Womack ?tal., 1990; Nishiguchi, 1994; Dyer, 1996; Dyer and Nobeoka, 2000). They find that many of the benefits emanating from Japanese buyer-supplier networks are driven by character istics such as a network identity, common language, interfirm employee transfers and team formations that mimic firm mech anisms for creating, transferring, and recombining knowledge. Womack et al. (1990) note that building close interfirm ties and trust relationships took Toyota nearly 20 years, and that invest ments in buyer-supplier relationships like the ones made by Toyota are rather atypical in traditional Western buyer-supplier relationships. Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 6. Technology Outsourcing, Capabilities, and Performance 599 When outsourcing hurts: technology outsourcing and integrative capabilities Having discussed when outsourcing is likely to benefit or hurt a firm, I turn to the type of technol ogy studied in this article.Technologies designed to enhance business processes, such as customer facing technologies, tend to 'havean abstractand demanding scientificbase' thatrequiresspecialized knowledge (Fichman andKemerer, 1997: 1346). Third parties specialize in building this exper tise by accumulating knowledge from deploying these technologies in client firms, and by pack aging and transmitting lessons learned through 'generic' applications of the technology to other clients (Attewell, 1992; Swanson, 1994).Although this makes third parties a valuable source of new technology, the idiosyncrasies of business pro cesses requiresubstantialmodification and adjust ment of the technology for use by client firms (Leonard-Barton, 1988; Fichman and Kemerer, 1997). Because the technology's interactionwith business processes is context-specific and, thus, difficult to fully anticipate ahead of deployment, user firmsoften discover the technologyde novo as it is being deployed and have to develop new capa bilities to use the technology effectively (Mowery and Rosenberg, 1989; Attewell, 1992; Swanson, 1994). Thus, technology adoption is a blend of exploiting a thirdparty's technology knowledge and creating new capabilities for its integration and use (Mowery andRosenberg, 1989; Swanson, 1994). These new integrativecapabilities reflect a client firm's skills in tailoringa technology to firm specific needs to enhance its application (Helfat andRaubitschek, 2000; JansitiandClark, 1994). Outsourcing is likely to negatively impact an adopting firm's subsequent integrativecapabilities in thecontext of business process enhancing tech nologies. First, as outsourcing increases, it limits a firm's exposure to a new technology, and hence learningby doing,which plays an importantrole in the development of integrativecapabilities to use and apply a new technology in the firm's business processes (Rosenberg, 1982; Ethiraj et al., 2005). Learning by doing to develop integrativecapabili ties is an iterativeprocess of successive trials that occur as the firm experiments with a new tech nology, responds to updates of the technology, and discerns its best uses depending on the tech nology's interactionswith its business processes (Leonard-Barton,1988; Attewell, 1992). Manag ing the interplaybetween technology and firmpro cesses is likely tobenefit from thecoordinationand free flow of information in firms,whereas chal lenges arisewhen activities are split among firms due to outsourcing (Leonard-Barton,1995). Second, capabilities evolve through not only learningby doing, but also deliberate investment in internalprocesses (Ethirajet al., 2005; Zollo and Winter, 2002) thatfacilitates thebuilding of know how througha sharedunderstandingarounda new technology. As outsourcing increases, it diverts capital and time investments away from internal infrastructureto themanagement of external rela tionships.A firmmay spend, even in the absence of opportunism, increasingenergy on negotiations and convincing thirdparties of appropriateactions (ConnerandPrahalad, 1996). In addition, the firm is likely to allocate fewer resources and talent to areas thatareoutsourced and, therefore,often per ceived as noncore, which leads to a neglect of capabilities in those areas (Leonard-Barton,1992; Bettis et al., 1992). This lack of internalresource allocation for theuse of a new technology is likely to impair the building of integrative capabilities related to the technology. Third, given the difficulty of transferringtacit knowledge across firm boundaries, outsourcing may limit a firm's insights into codified com ponents transferablewith the technology, thereby potentially causing a firm tomake faulty assump tionsandconclusions about the technology (Cohen andBacdayan, 1994;Pisano, 1996).Discerning the often unclear cause-and-effect linksbetween anew technology and its applications to business pro cesses requires transferringnot only the technol ogy itself, but also itsunderlying tacitknowledge (Attewell, 1992; Fichman and Kemerer, 1997). Knowledge-transfer problemsmay be exacerbated if third parties share less technological knowl edge than adopting firms require to effectively use a technologywithin theirbusiness processes. Hence, without significant involvement, adopting firms may be unable tounderstandthecausal ambi guities surroundinga new technology, which, in turn, is likely to limit the integrative capabilities they can develop. Hypothesis la: The higher a firm's degree of outsourcingfor a new business process enhanc ing technology, the lower itssubsequent integra tivecapabilities related to the technology. Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 7. 600 C.Weigelt When outsourcing hurts: technology outsourcing and performance in themarket Access to a new technology via outsourcing does not guarantee thata firmcan leverage the technol ogy in themarket (Steensma and Corley, 2000). The performance benefits that a firm reaps from customer-facing technologies will greatly depend on the extent towhich customers adopt the tech nology (Meuteret al., 2005).3However, customer adoption of a technology cannot be taken for granted (Rogers, 1995). Similar to organizational members who often face considerable latitude in using anew technology theirfirmadopts (Leonard Barton and Deschamps, 1988), customers can often choose whether or not to adopt (Curran and Meuter, 2005). Technologies often fail in themar ket due to a lackof customer adoption thatresults partly from an inability of the adopting firm to demonstrate the technology's value, relevance, and benefit to its customers (Rogers, 1995; Meuter et al., 2005). Literature on technology adoption has isolated perceived ease of use and usefulness as factors that affect customers' acceptance of a new tech nology (Davis, 1989; Rogers, 1995). Since learn ing cost, perceived risk, expected time and cost savings associated with using a technology vary for different customer groups, an adopting firm needs to understand its customers and the rea sons why some customers opt out (Parasuraman, 2000; Curran andMeuter, 2005). The technology services literatureargues that such understanding enables a firm to target communication, educa tion, customer-friendly instructionsor aids to their customers' specific technology concerns, thereby increasing thevalue thatcustomers perceive from using the technology (Bitner et al., 2002; Durkin et al., 2003; Meuter et al. 2005). Thus, for new technologies to receive high customer adoption, a firm needs to ensure that the technology's applica tionsmeet its customers' needs (Utterback, 1974; Rogers, 1995). Therefore, a firm'sperformance in the market is assessed as customer adoption, that is, the extent to which a firm's customers use a new technology. Outsourcingmay negatively affect a firm's per formance in the market. First, gaining customer knowledge to tailor technology attributesand com munication to customer needs depends on a set of tacit, interdependentprocesses, such as collect ing informationon customers' technology percep tions, interpreting the information in the context of a firm's market, disseminating it throughout the organization, and acting upon it (Day, 1994; Kohli and Jaworski, 1990). Executing these pro cesses in an iterative fashion, where a firm's learn ing about new technology features alternateswith obtaining customer feedback on the technology, is crucial for fitting a new technologywith customer needs toensure customer adoption.As outsourcing increases, the extent to which a firm gathers and applies customer knowledge to fit technology fea tures tocustomer needs declines, which, in turn,is likely to reduce customer adoption. Second, the process of tailoring technology applications to customer tastes is complicated by customers' variability in preferences: the service level they request, the learningeffort theyarewill ing to make, and the service quality they expect from a new technology (Frei,2006). This variabil ity across customers makes fitting a technology to customer needs a process of successive approx imation and trial-and-errorlearning that is diffi cult to plan in advance and standardize (Attewell, 1992). Therefore, increased technology outsourc ing is likely to result in frequent updating and renegotiatingof contracts as new knowledge about customer preferences is discovered. Renegotiations can be time-consuming (Conner and Prahalad, 1996) and can interfere with timely adaptations of the technology to customer needs. Furthermore, outsourcing introduces an extra layer between the firm and its customers, namely the third party pro viding the technology, which is likely to reduce the extent to which customer needs are reflected in technology applications (Fornell, 1992). Conse quently, as outsourcing increases, performance in the market is likely to decline. Third, since customers interact with a technol ogy during service delivery, they become a key inputfactor to the 'productionprocess' (Lovelock and Young, 1979). This active role of the customer makes it difficult to separate service delivery into independent sub-activities that can be executed independentlyby holders of technologyknowledge and holders of customer knowledge. In order to reduce service failures, a firm needs to stay close to its customers to learn about their interactions with the technology and define the customer's role in 3 For instance, for a bank to realize the cost savings associated with customers migrating from branch to Internet transactions (costing $1.07 versus 1 cent each) (Dandapani, 2004), its cus tomers need to actually use the Internet. Copyright ?~) 2009 John Wiley &Sons, Ltd. Strat. Mgmt. J.,30:595-616 (2009) DOI: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 8. Technology Outsourcing, Capabilities, and Performance 601 service delivery (Meuter et al. 2005). By increas ing a firm's distance to its customers, outsourc ingmay cause a rise in service delivery glitches, which, in turn, is likely to reduce performance in themarket. Hypothesis lb: The higher a firn's degree of outsourcingfor a new business process enhanc ing technology, the lower itssubsequentperfor mance in themarket. Limits to pitfalls from outsourcing: the role of experience inprior related technology The performance impact of outsourcing may depend on whether a firm can absorb external knowledge. The ease with which knowledge can be transferredis, in part, influencedby the recip ient firm's absorptive capacity to interpret,digest, and assimilate external knowledge (Cohen and Levinthal, 1990). Absorptive capacity has been shown to predict innovative activity (Cohen and Levinthal, 1990), researchproductivity (Cockburn andHenderson, 1998), and the extent of manage rial IT use (Boynton, Zmud, and Jacobs, 1994). Studying the adoptionof video banking, Pennings and Harianto (1992) show that experience with prior technology applications facilitated a bank's adoption of video banking.Rosenberg (1990) fur therhighlights the relevance of prior experience by noting that prior experience 'requiresa sub stantialresearchcapability tounderstand, interpret, and appraiseknowledge thathas beenplaced upon the shelf' (Rosenberg, 1990: 171, italics in origi nal).Hence, experience inprior related technology may limit the downside of outsourcing by foster ing a firm'sability to integrateexternal technology with firmprocesses. Prior experience provides a firmwith thecapac ity to better understand the cause-and-effect rela tionshipsunderlying anew technology,make sense of it, and integrate itwith firm processes (Fich man andKemerer, 1997).Drawing on prior related experience for applications of new knowledge decreases the likelihood of errors and false starts (Cohen and Bacdayan, 1994), thereby providing the platform on which to build new capabilities (Nelson andWinter, 1982; Helfat and Peteraf, 2003). Thus, a firm may be able to substituteprior relatedexperience for the tacitknowledge compo nents of a technology thatare difficult to transfer, therebyreducing thenegative effect of outsourcing on integrativecapabilities. Also, as mentioned earlier, managers often hold areaswhose activities are outsourced in low regard resulting in meager allocation of talent and resources to those areas (Leonard-Barton, 1992), which reduces the likelihood of internal capability development (Bettis et al., 1992). Firms with prior experience may be able to counter this tendency by having built expertise in areas currently affected by outsourcing. With prior experience, firmsmay be less inclined todiscredit the importanceof integrativecapabilities in areas affected by outsourcing. Hypothesis 2a: Firms with experience inprior related technology exhibit less of a decline in subsequent integrative capabilities as their degree of outsourcing for a new business pro cess enhancing technology increases. Similarly, a firm's prior relatedexperiencemay lessen the negative effect of outsourcing on a new technology's performance in themarket by enabling the firmtobuild on priorcustomer-related knowledge. Such knowledge may have accumu lated by studying customers' reactions to prior technology, experimenting with prior technology at the customer interface,or by previously apply ing technology to service delivery. Hence, expe riencemay enable a firm tomore easily address customervariability inpreferences and apply tech nology to fit customer needs, even as outsourcing increases. The benefits of prior experience may translate into less need for basic learning by doing to yield customer adoption because the firm has already engaged in those learning activities in the past (Cohen andLevinthal, 1994; Pisano, 1990). In addition, by enhancing a firm's familiarity with a new technology, prior related experience increasesa firm's ability to split technology-related activities into sub-activities and recombine them (Eisenhardt and Tabrizi, 1995). By understand ing the interfacesbetween a technology's compo nents and firm processes, a firm may be able to more successfully manage the process of collect ing informationon customer interactionswith an outsourced technology, thereby reducing the neg ative effect of outsourcing on performance in the market. Hypothesis 2b: Firms with experience inprior related technology exhibit less of a decline in subsequentperformance in themarket as their Copyright ? 2009 John Wiley &Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/sm'J This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 9. 602 C.Weigelt degree of outsourcingfor a new businessprocess enhancing technology increases. In summary, as a firm's technology outsourc ing increases, its integrative capabilities and per formance in themarket decrease. However, prior related experience mitigates this negative effect of outsourcing. It follows that pursuing higher degrees of technology outsourcing is particularly disadvantageous for firms lacking prior related experience. METHODS Internet banking Since Internetbanking is a new technology that spread into the service sector via technology ven dor relationships, it is a suitable setting for study ing the impact of new technology outsourcing on integrative capabilities and performance. In 2002, banks spent an estimated $130 billion on IT, of which at least 35 percent went to out sourcing (McKendrick, 2002). Technology ven dors specialize in Internetbanking solutions and gain expertiseby generalizing lessons learnedfrom installing their solutions at multiple banks and by subsequently embedding those lessons learned into prepacked, 'off-the-shelf' software solutions. These solutions tend to be 'generic' in that they are tailored to the banking sector, but they lack the par ticularitiesof a specific bank's business processes. Hence, contractingwith technology vendors may reduce the necessity for a bank to acquire exten sive software programming skills, but it does not eliminate the need for internal capabilities to cus tomize, understand, integrate, and use a new tech nologywith internalbusiness processes (Helfatand Raubitschek, 2000). Building integrativecapabili ties related to a new technology is likely to ensure better integration of the vendor's products with those of the bank and, thus, better customer sat isfaction and customer online service adoption. Banks vary in the extent to which they source Internet solutions from technology vendors, such as Fiserv, EDS, or Jack Henry & Associates, and employ internal staff to customize and integrate these solutions with their business processes. An Internetbanking solution is a front-endsystem that relies on a programming link to transferinforma tionenteredby customersonline to thebank's core Copyright ?C2009 JohnWiley & Sons, Ltd. processing system (Federal Financial Institutions Examination Council [FFIEC], 2003:22). Thus, Internet banking is 'the automated delivery of new and traditionalbanking products and services directly to customers throughelectronic, interac tive communication channels' (FFIEC, 2003: 1). Online financial services include such basic ser vices as account inquiry and fund transfers as well as more Web-enabled financial services such as account aggregation and electronic bill payment. DATA I collected data from banks' annual Reports on Condition and Income and conducted two surveys on U.S. banks' Internetoutsourcing activities dur ing thewinter of 2001/2002 and thespringof 2003. The second survey was a follow-up to all banks participating in the first survey. For the first survey I randomly sampled 800 bank holding companies (BHCs)with more than $100 million in assets from the Federal Deposit Insurance Corporation's (FDIC) list of 2,512 BHCs. The FDIC's Web site listed 5,065 FDIC insured BHCs as of December 2000. In cases of multibank holding companies, I chose the largest entity within the holding company. I contacted each bank by phone to obtain the name and contact informationof themost senior executive in charge of the bank's Internet initiative. Since I could not gather contact information for 32 banks, most of which had been acquired during 2001, the survey sample includes 768 both privately and publicly held banks. To prepare the survey, I reviewed bank Web sites and press releases and conducted interviews with bank executives in charge of their bank's Internet activities. I designed the survey using measures from theOffice of theComptroller of theCurrency Internetbanking studies,market research studies, interviewswith industryexperts, andprior research on innovation and strategy. Eight experts who were either senior bank executives or industry analysts participated in the pilot testing of the survey. I sent the first survey to informants during the winter of 2001/2002 and administered two follow up postcard mailings and follow-up phone calls to banks during February to mid-April 2002. The informantswere senior executives in charge of theirbanks' Internet initiatives. I received replies from 224 banks, which is a response rate of 29 Strat. Mgmt. J., 30: 595-616 (2009) DOL: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 10. Technology Outsourcing, Capabilities, and Performance 603 percent.Accounting for 21 acquired banks in the sample of 768 banks, the response rate rose to 30 percent. InApril 2003, I sent a follow-up survey to the 224 senior executives who participated in the first survey or, in cases of job changes, to the senior executive now in charge of the bank's Internet activities. The survey focused on Internetbanking capability andperformancemeasures and repeated somemeasures frommy first survey. I conducted follow-up postcardmailings and follow-up phone calls during May and June 2003. A total of 132 banks responded to the second survey,which is a response rate of 59 percent.Accounting for nine banks in the sample thathad been acquiredduring 2002 and early 2003, the response rate increased to 64 percent. The 224 banks replying to the first survey held assets between $100 million to over $10 billion as of December 2001. I conducted t-tests between respondents and nonrespondents and between earlier and later respondentsfor size, numberof banks in aBHC's structure,and financial condition (loans/deposits) to examine the data for potential nonrespondent bias. The t-testswere not significant, indicatingan absence of a nonrespondentbias between respon dents andnonrespondents (size: t= -0.18; BHC's structure: t= 1.15; financial condition: t= 1.07) andbetween earlierand laterrespondents(size: t= -1.03; BHC's structure:t= -0.71; financialcon dition: t= -1.08) to the first survey. T-tests for the second surveywere also not significant (size: t= -1.61; BHC's structure: t= -1.62; financial condition: t= -0.57). Further, t-tests comparing time of adoption (t= 0.74), degree of initial out sourcing (t= -1.45), and online retail service offerings (t= -1.32) for respondents and nonre spondents to the second surveywere not signifi cant. Gerhart,Wright, McMahan, and Snell (2000) caution against rater reliability issues in survey research. To increase rater reliability, both sur veys had global and specific measures to assess informants' knowledge of their banks' Internet activities (Kumar, Stem, and Anderson, 1993). About 70 percent of respondentshad titles at the vice president level or higher. Titles were in e commerce (37%), operations (25%), IT (16%), marketing (9%), sales (6%), finance (2%), CEO (2%), and other-not specified (4%),which reflects earlier findings that the area that originally cham pioned Internetbanking varies across banks (BAI, Copyright ?) 2009 JohnWiley & Sons, Ltd. 1999). Respondents to the first survey had, on average, a job tenure of 3.8 years and a bank tenure of 8.3 years. Except for 24 respondents who underwent job changes, all respondentswere identical in both surveys. To ensure respondents' competence, I asked each informantto ratehis or her personal involvement in (1) thebank's online initiatives, (2) the addition of new online func tionality, and (3) the selection of Internet sup plier/partnerson a seven-point Likert-type scale. The threeitemswere reliable forboth surveys (a= 0.88 and a = 0.85, respectively) and respondents were highly involved (mean= 6.03, S.D. = 1.23, andm = 5.95; S.D. = 1.26, respectively). Although multiple informants are preferred in surveys (Golden, 1992;Kumar et al., 1993) Iused only a single informantbecause utilizing multi ple informants from a single firmwhen a sin gle informant ismost knowledgeable often cre atesproblems (Glicket al., 1990).Gerhart, Wright, and McMahan note that single raters tend to be more reliable in smaller ratherthan in largerfirms due to substantialwithin-firm variation in larger firms; for example, different policies across busi ness areas are a major source of rater reliability bias at the firm level (Gerhart, Wright, andMcMa han, 2000: 867). Given the small size of most banks' e-business units (71% of e-business units had five or fewer employees) and because I asked informantstoassess only Internetactivities directly related to theirarea, Ibelieve raterreliabilitybias is not a serious concern in this study. Common method variance is a potential short coming in survey-based research that collects dependent and independent variables from the same respondent (Podsakoff and Organ, 1986). However, Ibelieve thatthevalidity ofmy findings is not subject to common method bias since the dependent and independentvariables come from two different surveys conductedmore thana year apart,which reduces correlationamong dependent and independentvariables that may be attributable to common method bias (Podsakoff and Organ, 1986;McEvily andChakravarthy,2002). Further more, although the same executives were targeted by both the first and second survey, 24 of the respondents in the second survey differed from those in the first survey because of job changes. Hence, in24 cases the independentand dependent variables come from different sources. This pro vides me with the opportunity to testwhether the Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 11. 604 C.Weigelt responses to thedependentmeasures differ signif icantly between new and incumbent respondents. I conducted t-tests for the responses to the three items forming the capability measure (t= 0.98; p = 0.33; t= 1.61; p = 0.12; t= 1.53; p = 0.13) and for customer adoption (t= 0.37; p = 0.72). These t-testswere not significant at the p < 0.10 level, implying that the two groups of respondents did not significantly differ in their responses, fur ther indicating thatcommonmethod bias is not a concern. Variable Measurements Dependent variables The article studies the impact of outsourcing on two dependent variables collected in the second survey: integrative capabilities and performance in themarket (customer adoption). Prior work has measured capabilities as number of patents (Mowery et al., 1996), products (Yeoh andRoth, 1999;Katila andAhuja, 2002), researchanddevel opment (R&D) expenses (Cohen and Levinthal, 1990;Helfat, 1997), or latentconstructs based on surveys (Steensma and Corley, 2000). I follow Steensma and Corley (2000) by measuring inte grative capabilities using a latent construct based on three seven-point Likert scale items. Infor mants4 rated the degree to which their bank (a) is capable of customizing standardizedoff-the-shelf technology to its Internetapplications, (b) is capa ble of developing future applications of Internet banking services, and (c) has adequate IT skills to operate Internetbanking in-house (Appendix). The latentconstructof integrativecapabilities cap tures the extent to which a firm is able to assim ilate, enhance, and apply a new technology to its internal processes (Mytelka, 1985; Leonard Barton, 1988;Helfat andRaubitschek, 2000). The standardizedCronbach coefficient alpha for the three items was a = 0.85. I also conducted a fac tor analysis to ensure that the items loaded on one factor. I combined and averaged the three items to create the variable integrative capabil ities. Higher values indicate greater integrative capabilities. Isolating the performance of online banking from thatof other service delivery channels ischal lenging; since the inception of Internetbanking, banks have struggled to assess the effectiveness of their online operation and its contribution to overall financialperformance.Banks are different from other industries that service their customers throughmultiple channels such as retailing (e.g., Williams-Sonoma orBarnes & Noble) in thatcus tomers utilize theirbank's services throughmul tiple channels (e.g.,ATMs, branches, call centers, or online) without being charged on a transaction by-transaction basis.5 It is thereforenearly impos sible to tracerevenues to specific transactions,and hence specific service delivery channels.Although industry analysts have observed that customers who bank online havemore products, lower attri tion rates, and, on average, 35 percent higher balances than their offline counterparts (Bielski, 2003), the causal chain of whether online cus tomers aremore profitable due to banking online orwhether more profitable customers bank online cannotbe established. Second, tracingcosts to spe cific channels and specific customers is also diffi cult. Technology is an integral part of a bank's operations, and several banking channels (e.g., online banking platform, branch, and ATM net works) utilize and draw on the same back-end data processing for theiroperation. Faced with these limitations, banks use 'total number of active online customers' as a way to assess the performance of their online banking channel. This is a suitable performancemeasure because, while revenues cannot be traced by deliv ery channel, it is known that online banking is a 4 Huber and Power (1985) raise concerns regarding raters' poten tial desirability biases and intentional distortions in surveys. However, although it would be favorable for all respondents to report high integrative capabilities for their bank, the mean for this variable is only 3.82 (S.D. = 1.72). A frequency distri bution for the capability variable shows that less than 15 percent of respondents reported a score of six or higher, and that less than 25 percent reported a score of five or higher. Hence, a desirability bias seems unlikely to exist in this survey data. 5 A retailer such as Barnes & Noble can measure the profit it earns from an online customer versus a retail store customer because each engages in a specific transaction that is docu mented. That is, revenues and costs for the transaction are measured (e.g., sales price, costs of goods sold, handling and shipping). In contrast, banks cannot track how profitable one channel is versus another. The reason for this is that a customer uses multiple channels for the same banking products without being charged for each individual transaction. Thus, a customer may open a bank account in a branch, withdraw money from the ATM, request a loan over the phone, and check balances and pay bills online. Given this, customer profitability in banking is notoriously difficult to attribute to a specific channel. Copyright ? 2009 John Wiley &Sons, Ltd. Strat. Mgmt. J.,30:595-616 (2009) DOI: 10. 1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 12. Technology Outsourcing, Capabilities, and Performance 605 lower-cost channel than branch and ATM (Dan dapani, 2004; Durkin et al., 2003).Migrating cus tomers toonline banking is thereforelikely associ atedwith increasedcost savings forbanks. Inaddi tion, in the academic literature,customer adoption and usage of a new technology are viewed as mea sures of new technology acceptance and success (Rogers, 1995; Leonard-Barton and Deschamps, 1988). Although not directly capturing a firm's online sales and profits, a higher percentage of customer online adoption signals a firm's abil ity to penetrate a new market. Therefore, online customer adoption is an appropriate,andwidely used, proxy for theperformance of Internetbank ing operations. Accordingly, Imeasure performance in the mar ket as the percentage of a bank's total customer base (demand-deposit households) that regularly checks balances online.Respondents reportedtheir total customer base checking balances online as of the spring of 2003, the time of the second survey. To ensure themeasure's validity, I sep arately asked respondents the following two ques tions and thencalculated a customer online adop tionmeasure:What isyour bank's totalnumberof active online customers? What isyour bank's total number of retail customers (offline and online)? I reestimated themodels with this second per formancemeasure and the results were consis tent. The correlation between both measures is r= 0.88. This performancemeasure considers that technologies adopted inbusiness processes orunits may not directly affect overall returnon equity (ROE) or returnon assets (ROA) (Ray, Barney, andMuhanna, 2004).6 Independentvariables All independentvariables were collected in the first survey. Degree of outsourcing captures the extent to which a firm relies on external vendors to adopt a set of eight online service areas. Prior literature tends to conceptualize interfirmmodes as binary (Leiblein and Miller, 2003) or as an ordinal continuum of interfirmrelationships (e.g., licensing, equity stakes, joint ventures, and acqui sition) (e.g., Steensma andCorley, 2000;Nicholls Nixon andWoo, 2003), although some of these choices (e.g., licensing agreements) can be con tinuous. Therefore, following Pisano (1990) and Poppo and Zenger (1998), degree of outsourcing is a continuous variable ranging from zero (all in-house) to 100 (all outsourcing).Using external vendors to acquire new technology is prevalent in the banking industrywith only a few banks among the largest relying solely on in-house pro cessing. In the sample, only one bank did so; all others used varying degrees of internaland ven dor involvement to implementeight online service areas: account balance inquiryand funds transfer, credit/loan/mortgage, bill payment, bill present ment, investment, insurance,CRM, and nontradi tional services. Eight banking experts evaluated the list of service areas to ensure it was repre sentative of online service offerings. Informants reportedtheirbank's percentageof in-housedevel opment versus outsourcing for each service area (Appendix). I calculated degree of outsourcing by summing thepercentages of outsourcing across all service areas offered and dividing the sum by the total number of online service areas offered. The measure includes service areasadoptedcompletely in-house and accounts for firmsdiffering in their degree of outsourcing across service areas. Experience in prior related technology may influence a firm's performance in the market and integrative capabilities by providing learn ing opportunities that foster absorptive capacity (Cohen and Levinthal, 1990). For over 20 years, banks have attempted to shift theircustomers from physical branches to remote channels, such as home banking, ATMs, and smart or debit cards (Pennings and Harianto, 1992). I define experi ence inprior related technology as previous PC banking offerings that are a predecessor technol ogy to Internetbanking. PC banking familiarized banks with remote customer self-servicing tech nology and offered services similar to the basic services offered by Internetbanking.Although PC banking included several of today's basic online services, it required users to install the bank's soft ware on their PCs to access accounts remotely. Experience inprior related technology is a binary variable of one for banks that had at any point in time a PC direct-dial program for their retail customers and of zero otherwise. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10.1002/smj 6 The logic is that as the performance of one business unit increases thereby positively contributing toROE (ROA), another business unit may perform poorly resulting in a negative effect on ROE (ROA). Both effects may cancel each other out leading to no visible effect from e-banking on aggregate performance measures such as ROE or ROA. Copyright ? 2009 JohnWiley & Sons, Ltd. This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 13. 606 C.Weigelt Control variables I control for firm-and relationship-specific factors thatmay influence a firm's capabilities and per formance in themarket. Firm size is an archival measure taken from each bank's annual Report on Conditions and Income. Inkeeping with prior research in banking, firm size ismeasured as the log of assets (Dos Santos and Pfeffers, 1995). Larger firmsmay have greater capacity, slack, and incentives to acquire new capabilities due to their scale (e.g., broad service portfolio) or fixed-cost spreading advantages (e.g., large customer base) (Cohen, 1995). Technical andmarketing investments aremea sured as composite formative indicators (Bollen andLennox, 1991). Technical investmentsconsist of technological intensityand IT strengththat mea sure tangible and intangible aspects of resource investments, respectively (Amit and Schoemaker, 1993). Technological intensity is measured as a bank's IT investments in systems, equipment, and data processing divided by total assets (Pen nings andHarianto, 1992). IT strength is a reflec tivemeasure from the first survey and comprises the seven-point scale items: (a) a bank's over all technology/IT knowledge and (b) IT invest ments/budget uponWeb launch,which correlate highly (r= 0.59). I created the formative mea sure technical investmentsby summing and aver aging the z-scores for technological intensity and IT strength. Similarly, I created the formative measure marketing investmentsby summing and averaging the z-scores for market scope and mar keting intensity.Market scope is the percentage of income derived from nontraditional banking sources and captured as ratio of noninterest income to total income. Marketing intensity ismeasured as abank's advertisingexpenses divided by revenues. Timeof adoption is thenumberof months since year-end 1995 before a bank started to adopt Internetbanking. The variable controls formar ket learningeffects and technological advancement that occur as new technologies diffuse through an industry(SchoeneckerandCooper, 1998). Scope is measured as the number of service areas (Appendix) inwhich a bank initially adopts online services. Greater scope has been shown to increase the complexity of a new technology and the coor dination efforts required to adopt it (Novak and Eppinger, 2001). Copyright (C2009 JohnWiley & Sons, Ltd. Imeasure number of external partners as the average number of vendors thata firmhad across eight online service areas at time of adoption (Appendix). Contracting with more external par ties may increase a firm's external coordination efforts and divert attention from cultivating capa bilities due to bounded rationality (Simon, 1960). Collaboration with partner is a firm's average degree of collaboration with its partner across eight online service areas (Appendix). Informants rated on a seven-point scale the extent towhich their vendor relationshipwas, on average, arms length or collaborative, which controls for the extent of interactionandknowledge exchange that may occur in external relationships (Mitchell and Singh, 1996). Higher net worth customers, who tend to be more knowledgeable about the Inter net and demandmore sophisticated services,may be more likely to adopt Internetservices (Rogers, 1995). Imeasure customer affluence as the ratio of deposit accounts over $100,000 divided by all bank deposits. Finally, I control for thenumberof employees in a bank's e-business unit. This vari able, measured as the log of a bank's number of e-business employees, controls for the costs and efforts a firm expands internally to adopt a new technology. At themarket level, Icontrol formarket concen tration,which is the four-firmconcentration ratio of deposits in a bank's market defined by the num ber of states inwhich that bank has operations. Lit erature in economics attests to links between mar ket concentration and innovative activity, arguing thatmarket concentrationmay negatively affect innovative activity by inhibiting competition and potential returns from innovation (Levin, Levin, and Meisel, 1987; Acs and Audretsch, 1987). Hence, market concentrationmay limit a firm's incentive to invest in building capabilities related to a new technology since the returns may not be worth the effort in thepresence of limited compe titiondue to high concentration. Analysis Estimating the effect of outsourcing on both inte grative capabilities andperformance in themarket (customer adoption) requires two important con siderations. First, since managers tend to choose their degree of technology outsourcing based on theirexpectation thata certain degree of outsourc ingwill yield greater returnsthananother,a firm's Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 14. Technology Outsourcing, Capabilities, and Performance 607 outsourcing decision may introduce endogeneity bias (HamiltonandNickerson, 2003). Second, out sourcing is likely to have a simultaneous rather than sequential effect on integrative capabilities and performance in themarket. The process of capability building is likely to occur at the same time as customer adoption.Firms build capabilities for a new technology as they offer it to customers, as they receive feedback from customers adopting the technology, and as they tweak the technology. Regarding the first consideration, I test for potential endogeneity applying the Davidson Hausman-Wu test of endogeneity (Wooldridge, 2003). The hypothesis for the presence of endo geneity in degree of outsourcingwas rejected for both dependent variables (integrative capabilities t= 1.24, p = 0.27 and performance in the market t= 1.10, p = 0.30). Thus, potential endogeneity of degree of outsourcing does not seem to be a problem in thisdataset7. Given the absence of endogeneity of outsourc ing in themodel, but considering the concern for potential simultaneity of integrative capabilities and performance, I apply a seemingly unrelated regression (SUR) model (Zellner, 1962) using STATA to test the hypotheses. I estimate the fol lowing set of equations where Xi and Zi are vectors predicting the respective dependent variable. Integrativecapabilitiesi= & + /, degree of outsourcingi + P2 Xi + Si (1) Performance in the marketi = 83 + ,84 degree of outsourcingi + f85 Zi + 7i (2) An SUR is an extension of a linear regression thatpermits correlated errors between equations. Correlation in error termsbetween equationswith different dependent variables is particularly likely when both equationsutilize the same dataset.Fur ther,given theabsence of endogeneity of outsourc ing in the model, an SUR model is preferable to a 3SLS because itdoes not require instruments,and hence is likely to yield more precise estimates.8 I also estimate two-limit Tobit regressions for integrative capabilities bound between one and seven andperformancebound between one percent and 100 percent customer adoption.Tobit is appro priate for dependent variables thathave observa tions thatare censored by a lower and upper limit bound.Tobit estimates the likelihood thata depen dentvariableexceeds a thresholdvalue (zero forno customer adoption) and its value, if it exceeds the threshold. In this study, Tobit estimates both the likelihood that a new technology yields customer adoption and the extent towhich it does so. RESULTS Table 1 presentsmeans, standarddeviations, and correlations for themeasures. Degree of outsourc ing correlates negatively with integrativecapabil ities (r= -0.43) and performance (r= -0.53). Experience in prior related technology correlates positively with the dependent variables (r= 0.20 and r= 0.12, respectively) and negatively with degree of outsourcing (r=-0.21). Integrative capabilities and performance in the market estimates Table 2 presents the results for the SUR testing therelationshipbetween degree of outsourcing and integrativecapabilities (Hypothesis la) andperfor mance in themarket (Hypothesis lb) inModel 1 of Equations 1 and 2, respectively. Model 1 of Equation 1 predicts the effect of outsourcing on integrative capabilities, which is significant and negative (,8= -0.023; p < 0.001), indicat ing that greater outsourcing of new technology 7 Given the absence of endogeneity of outsourcing in this dataset, the use of a two-stage least squares (2SLS) or three-stage least squares (3SLS) approach is not necessary. While Heckman two stage models are commonly used to control for the endogeneity of dichotomous or categorical variables capturing outsourcing, a 2SLS or 3SLS approach is used to account for the potential endogeneity of continuous variables (Hamilton and Nickerson, 2003). 8 To ensure the robustness of the model results presented in this article, I estimated several additional models. First, even though the Davidson-Hausman-Wu test of endogeneity showed that potential endogeneity resulting from degree of outsourcing was not a concern in this data, I estimated a 3SLS regression model (Wooldridge, 2003). The results for the hypotheses were consistent with those reported in Table 2. Second, I estimated separate 2SLS models for both integrative capabilities and per formance in the market, respectively, which account for potential endogeneity of outsourcing, but not for potential simultaneity. Again, the results were consistent with those shown in the study. These tests ensure the robustness of the SUR results shown in this article. 9 Although 132 banks replied to both surveys, some banks had incomplete data reducing observations to 94. Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOL: l0. 1002/sm'J This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 15. 608 C.Weigelt N~~~~~~~~~~~ _ oNo 00 ~ ~ ~ ~ ~ ~ 0 CCl I I _0 8 ~-c 0 o - ON _ ~~~~~~o o o~ o c O C M r CM k C C 0 C o~~~~~~ 00 00o~ -o _~~~~~~ _ - o o ot I I I o Cl tC C o 00 _ oo oN~ o o N m I_ - o o o o 6 6 I I I I 0l - ~C 0 C 0 0 C o C) oocoXoV N~~~~~~ tn ot C ) r- >c-r Ca,I N o 0 a00 o U666 6oo ? C II II Ii I C0 -o 66666o _o a). I o o I I _ o N Cs _ N Ct - l ?? o m .00_ C 00 o.000 0 0t o Cl-_m -- o00o 0Cl 0 _O 0 0 0 0 0 o Cl 00 o0 ol ol = .%~~~~~~~~~~~~~~~~E - Ct~l0 l -0 l C r >^ >t00 >00 t00Cl00000 Olt * W ~Cl 0 O V _ _,41'.iS'- II Coynh C lC00 lJhnWley & Sons, Ltd. leads to lower integrative capabilities. This con firmsHypothesis la.Among thecontrol variables, scope, number of external partners, and market concentration exhibit a negative, significant effect on integrativecapabilities. Model 1of Equation 2 predicts theeffect of out sourcing on performance in themarket. Degree of outsourcing is negative and significant (,8= -0.197; p < 0.001), indicating that greater out sourcing for a new technology lowersperformance in themarket, supportingHypothesis lb. Among the control variables, collaboration has a positive significant effect on performance in themarket. I also estimated Tobit models predicting inte grative capabilities and performance in themarket (Hypotheses la and lb). The results are consistent and presented in Table 2. Estimates of the interaction effect Model 2 presents results of the interactioneffect between degree of outsourcing and experience in prior related technology, testing Hypotheses 2a and 2b that predict that the negative impact of outsourcing on integrative capabilities (Hypothe sis 2a) andperformance in themarket (Hypothesis 2b) is less for firmswith experience inprior related technology. The interaction is positive and sig nificant in Model 2 of both Equations 1 and 2 (,8 = 0.043; p < 0.001 and ,B = 0.197; p < 0.01, respectively).Additionally, I estimatedTobitmod els to test Hypothesis 2b. Consistent with the results in Model 2 of Equation 2, the interac tion effect is positive and significant (, = 0.222; p < 0.001). To gain further insights into the interaction between experience in prior related technology and outsourcing, I graphed the interaction for firmswith and without prior experience at dif ferent degrees of outsourcing in Figure la and lb (Aiken and West, 1991). The graph in Figure la shows that as outsourcing increases, firmswith prior experience exhibit far less of a decline in integrative capabilities than firms without prior experience. In fact, the line is close to horizontal for firmswith prior experience. Furthermore,firms with experience inprior related technology achieve higher integrative capabilities in the presence of outsourcing, a finding consistent with absorptive capacity arguments (Cohen andLevinthal, 1990). Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 16. Technology Outsourcing, Capabilities, and Performance 609 0 "0 0 t 00 me 0-0 ?t t m > t C l ** s cl n * 4- V ' on Z o) ^ moN N oo E0 ,c 0 ~6 c Cl 0 l 0 0 *- 0Cl0 r- Z cn 00't< N 0. t v~ r O * C =~~~7 n W. rn CA o N o ^ 00 w o **o r- *m* Q r ? n?? > o o ? ? , t o > t m N ? t _- Cl 0 01 0 '* N O) 00 I~ I ~ 3 Icl t I i Cr r o flo^ C l* o i H >m t o0 1 0-- 0NCl00 0o 000In 0 &Cl0to: 'n = X o * **0 ct~~~~~' W) M V' *0 W) M o^N00 o ^ ON 00 z oo ^ N t *mt 0 - "-'0"-'In I~~~~~~~I 0 ~~~~~~??7?f 0 0 0 H > ^* *m ^m ^ ^ ^m ^ ^* ^ ^ * ^ * - *3 Qc0N N8 0&N * m r 8 I N?t z ?? Cs ~0 I I I > 0 o : * 7 ?40 0 0 Xo N >7so 0 N*0 0 0 . o W) 0 0~~~~~~~~~CO Q 000'_ ?00^ N ^ > oo N 0 C m o N ; * * o> '0 S *Ifl00 00 N t C , C f4 Cl 2 0 .= s N **o :**o*** *** e 0 )i 0 0 oooo ? 0, _ I ? r 1J 1 * * *I X 0 ClCl~~~~~6~~ . *~~~~. Cl~~~~0InCl 0~~~~~-* ~~~~0~~-0 7: C O .00; 0 *OtO0ommOtN0>>>??o4 4*N *^ * 0 X l l l S| >N: | | : 7T| : ~~~~~~~~0 00Cl0 't , *-E t) e ;Cl C l 0 0 0 C l 0 N ~ 0 N ~ . 0 0 N 0 0 ~ o o t " 0 00 l f ) - * 0 Q C l ~ - ~ 0 . t 1 ~ 6 O Cl Cl "':t 1t~ 0 0 00 .=~~ 66'U~666o o 6X W 0tIIQI. S E I I m I YmXs~~~~~~~~~~~ 4 ae E w 2 Q , Q i S S M aN; X;.~~~~ 0oyih ")20 onWly&Sos t.Srt gt J,3:5566(09 0~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~DI 0010/m This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 17. 610 C.Weigelt (a) 6 5 - U) e4 2 3 -, -|4- PC banking No PC banking C)c 2- 0 x=O x=1 00 Degree of outsourcing (b) 40 35 30 00 ? 5 20 - PC banking En d20 -4- PCObanking L X 15-0 5 - X=0 x=1 00 Degree of outsourcing Figure 1. Interaction between degree of outsourcing and experience in prior related technology (PC banking) In fact, there is no difference in integrative capa bilities between firms with and without prior expe rience at zero outsourcing.Thus, prior experience mitigates the negative effect of outsourcing, sup portingHypothesis 2a. Figure lb shows that under conditions of verti cal integration, firms realize similar levels of per formance in the market regardless of their prior experience. However, as firms begin to outsource, the gap in performance realized by firms with and without experience in prior related technol ogy widens. Although both groups of firms show a decline in performance as outsourcing increases, this decline is less for firms with prior experience. Thus, firms with experience in prior related tech nology achieve higher performance in the market when outsourcing than firmswithout experience. The finding indicates that prior technological expe rience can be leveraged in the marketplace and thereby mitigates the negative effect of outsourc ing, supportingHypothesis 2b. In summary, the results show that outsourcing negatively impactsa firm's integrativecapabilities and performance in the market. However, experi ence in prior related technology reduces the nega tive effect of outsourcing. Copyright ?) 2009 JohnWiley & $ons, Ltd. DISCUSSION AND CONCLUSION This study provides new insights into the impact of new technologyoutsourcingon a firm's integrative capabilities and performance in the market. The findings imply thatgreateroutsourcing forbusiness process enhancing technologies (Attewell, 1992; Swanson, 1994) lowers a firm's integrative capa bilities and performance in the market. This neg ative effect of outsourcing is likely due to two reasons.First, althoughoutsourcingprovides firms with access to specialized technologies, thebuild ingof integrativecapabilities related to these tech nologies requireslearningby doing and investment in internal processes (Ethiraj et al., 2005; Zollo andWinter, 2002). Given thatbusiness processes are idiosyncratic, firms are likely to learn in situ about a new technology while using it (Attewell, 1992). Such learning,however, decreases as out sourcing increases. Hence, to build integrative capabilities for a new technology, firms need to be involved in the technology adoption process. Passive capability accumulation is unlikely, and outsourcing cannot simply substitute for internal capabilities (Powell et al., 1996). Thus, although a firm may outsource to obtain a technology, it still needs to understand how the technology relates to its internal processes (Brusoni, Prencipe, and Pavitt, 2001). Second, outsourcing may interfere with firm processes designed to raise customers' perceived value of a new technology and, hence, customers' adoption of the technology. Understanding how customers perceive and interact with a new tech nology depends on a set of interdependent, tacit processes, such as collecting informationon cus tomer needs, interpreting it, and disseminating it throughout the firm (Day, 1994). These pro cesses may be interrupted when activities are split into subtasks between a firm and external parties. Moreover, learning about customer preferences is a process of successive approximation that varies across firms due to customers' variability in pref erences (Attewell, 1992; Frei, 2006). As such, this process is difficult to standardize or plan in advance, which may require frequent updating and renegotiation inoutsourcing relationships. This study finds that greater vertical integra tion is superior to outsourcing of business pro cess enhancing technologies. These findings are consistent with RBV and KBV arguments that state that greater vertical integration is preferred Strat. Mgmt. J., 30: 595-616 (2009) DOI: l0.1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 18. Technology Outsourcing, Capabilities, and Performance 611 for interdependentactivities involving tacitknowl edge (Kogut and Zander, 1992). Given a com mon language and shared understanding among employees, vertical integration is superior for the coordination of tacit, context-specific know-how (Leonard-Barton, 1995; Monteverde, 1995; Leiblein et al., 2002). On the other hand, there are conditions under which outsourcing may be superior tovertical integrationand enable firms to offer higher quality products and realize cost sav ings (Rosenzweig, 1994;Dyer, 1996;Mitchell and Singh, 1996). According to theKBV, outsourc ing isbeneficial for sequential, low interdependent activitieswhere the interfacebetween activities is well known (Kogut andZander, 1992). Outsourc ingmay also be suitable for products or services previously performed in-house thatcanbe obtained at lowercost or higher quality outside. In thatcase, outsourcing affects known services thatoften have become peripheral to a firm'score andwhose link ages to other system components arewell known. In contrast, this is not the case with new busi ness process enhancing technologieswhose inter actions with firm processes are not fully known until their deployment (Attewell, 1992). Hence, when deciding to outsource, firms should consider the interdependenceof activities and theneed for tacitknowledge exchange among activities. Overall, the finding of a negative effect of outsourcing emphasizes thatalthough outsourcing gives firms access to a new technology, it does not guarantee that a firm can use and deploy the technology in themarket (Hamel, 1991). There fore, it is importantto delineate between offering anew technology tocustomersvia outsourcing and learninghow to use it.Outsourcingmay endow a firmwith new technology applications for its cus tomers,but these shouldnot be equatedwith better performance in themarket. In fact, offering new technology applications through outsourcing can be costly if customers do not adopt the new offer ings. This may be the case if outsourcing results in technology applications that are little tailored to a firm's customers. As outsourcing increases, a firm's staff may push a new technology less to theircustomers because they do not feel involved in the technology's success. Hence, internal staff involvement is advisable when outsourcing for a new technology in order to ensure the building of integrative capabilities related to the technol ogy and the application of firm-specific customer knowledge. Copyright ? 2009 JohnWiley & Sons, Ltd. Moreover, the negative effect of outsourcing is more pronounced for firmswithout experience in prior related technology. These firms exhibit a drastic decline in integrativecapabilities and per formance in themarket as outsourcing increases. Thus, although prior experience provides absorp tive capacity (Cohen and Levinthal, 1990), the findings show limits to benefits from absorptive capacity: prior experience can reduce but neither eliminates nor reverses thedownside of outsourc ing.However, as outsourcing decreases, the dif ference in integrativecapabilities andperformance between firmswith andwithout experience inprior related technology declines. Hence, as outsourcing decreases, prior experience seems not toprovide a distinguishing advantage,perhapsbecause benefits from absorptive capacity are countered by inertia resulting from prior IT investment that functions as a short-run substitute for a new technology. That is, prior experience that enhances a firm's ability to tailor a new technology to customer needs may not lead to greater customer adoption if there is a prior technology thatcustomers have already adopted and that they perceive as a viable alternative (Rogers, 1995). Prior experience also may not lead to greater new capabilities if there are sunk costs from learning the prior technol ogy (Forman,2005). However, greateroutsourcing widens thegap in integrativecapabilities and per formance between firmswith and without prior experience, implying that firms should not under estimate the role of prior experience in absorbing externalknow-how. This studyhas limitations.First, studying a sin gle technologywithin a single industryavoids the difficulty of controlling fordifferences across tech nologies and industries in potential profitability, capital costs, and technology advancement (Levin et al., 1987).However, a single-industry studyalso has limitations,especially regardingitsgeneraliza tion.This study's findings are applicable to firms in other industries, such as retail, travel, broker age, or education, thatoutsourcenew technology to enhancebusiness processes. Further, severalof the major technology vendors for the banking indus try,e.g., EDS orFISERV, also provide technology solutions to the health care, retail, telecommuni cation, and energy industry.With this inmind, there is reason to believe that this study's find ings can be generalized to other industry con texts. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 19. 612 C.Weigelt Second, this study's findings provide insights into the outsourcing-performance link. Specifi cally, banks thatoutsource achieve less customer adoption of a new technology. Thus, while this study shows thatoutsourcing negatively affects a firm's performance in themarket with customer adoption being a suitable performance measure in the context of customer-facing technologies, it does not provide insights into performance out comes from a cost minimization standpoint or customer profitability, a performancemeasure that relates revenues to costs. Third, little besides the degree of outsourcing and collaboration is known about the character of the outsourcing relationship. The impact of outsourcing on integrative capabilities and per formance in the market may vary based on the supplier's skills, the specific tasksperformed, and the supplier'sprior contactswith thebuyer.Future research could study how partner characteristics affect a firm's capabilities and performance. In addition, researcherscould use amore fine-grained measure of outsourcing, distinguishing between R&D, service/product delivery, consulting ser vices, and support services. Fourth,while integrativecapabilities as amea sure are based on survey data in this study, future research could try to devise new approaches for collecting archivalmeasures of integrative capa bilities. Finally, future research could study how internalefforts, such as coordinationacross depart ments and units, affect an adopting firm's integra tive capabilities and performance in the market. ACKNOWLEDGEMENTS I gratefully acknowledge helpful comments that have substantially improved thework fromMar garet Cording, Margarethe Wiersema, SMJ Edi tor Richard Bettis, and two anonymous review ers. Financial support for the data collection was provided by aNational Science Foundation grant (#332-0043) and a Financial Services Exchange grant. REFERENCES Acs ZJ, Audretsch DB. 1987. Innovation, market struc ture, and firm size. Review of Economics and Statistics 69(4): 567-574. Aiken LS, West SG. 1991. Multiple Regression: Testing and Interpreting Interactions. Sage Publications: Newbury Park, CA. Amit R, Schoemaker PJH. 1993. Strategic assets and organizational rent. Strategic Management Journal 14(1): 33-46. Arrow K. 1974. The Limits of Organization. W.W. Norton: New York. Attewell P. 1992. Technology diffusion and organiza tional learning: the case of business computing. Orga nization Science 3(1): 1-19. BAI. 1999. Managing Technology Investment Decisions. Banking Administration Institute: Chicago, IL. Barney JB. 1991. Firm resources and sustained competi tive advantage. Journal of Management 17: 99-120. Bettis RA, Bradley SP, Hamel G. 1992. Outsourcing and industrial decline. Academy of Management Executive 6: 7-22. Bielski L. 2003. Hard to get the online habit: billpay adoptions gradually increase-especially at a handful of banks-but broad use will take years. ABA Bank ing Journal 95: 1 February: 79-86. Available at: http ://www .allbusiness .com/marketing/market research/458119-1.html. Bitner MJ, Ostrom AL, Meuter ML. 2002. Implementing successful self-service technologies. Academy of Management Executive 16(4): 96-109. Bollen K, Lennox R. 1991. Conventional wisdom on measurement: a structural equation perspective. Psychological Bulletin 110(2): 305-314. Borys B, Jemison DB. 1989. Hybrid arrangements as strategic alliances: theoretical issues in organizational combinations. Academy of Management Review 14: 234-249. Boynton A, Zmud R, Jacobs G. 1994. The influence of IT management practice on IT use in large organizations. MIS Quarterly 18: 299-320. Brown SL, Eisenhardt KM. 1997. The art of continuous change: linking complexity theory and time-paced evolution in relentlessly shifting organizations. Administrative Science Quarterly 42: 1-34. Brusoni S, Prencipe A, Pavitt K. 2001. Knowledge spe cialization, organization coupling, and the boundaries of the firm: why do firms know more than they make? Administrative Science Quarterly 46(4): 597-625. Chesbrough HW, Teece DJ. 1996. When is virtual virtuous? Organizing for innovation. Harvard Business Review 74(1): 65-73. Cockburn I, Henderson R. 1998. Absorptive capacity, co authoring behavior, and the organization of research in drug discovery. Journal of Industrial Economics 46: 157-183. Cohen MD, Bacdayan P. 1994. Organizational routines are stored as procedural memory: evidence from a laboratory study. Organization Science 5(4): 554-568. Cohen WM. 1995. Empirical studies of innovative activ ity. In Handbook of the Economics of Innovation and Technological Change, Stoneman P (ed). Blackwell Publishers: Cambridge, MA; 182-264. Cohen WM, Levinthal DA. 1990. Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly 35: 128-152. Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 20. Technology Outsourcing, Capabilities, and Performance 613 Cohen WM, Levinthal DA. 1994. Fortune favors the prepared firm. Management Science 40(2): 227-251. Conner KR, Prahalad CK. 1996. A resource-based theory of the firm: knowledge versus opportunism. Organization Science 7(5): 477-501. Contractor F, Lorange P. 1988. Cooperative Strategies in International Business. Lexington Books: Lexington, MA. Curran JM, Meuter ML. 2005. Self-service technology adoption: comparing three technologies. Journal of Services Marketing 19(2): 103-113. Damanpour F. 1996. Organizational complexity and inno vation: developing and testing multiple contingency models. Management Science 42(5): 693-716. Damanpour F, Evan WM. 1984. Organizational inno vation and performance: the problem of 'organiza tional lag.' Administrative Science Quarterly 29(3): 392-409. Dandapani K. 2004. Success and failure inWeb-based financial services. Communications of theACM 47(5): 31-33. Davis FD. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3): 319-339. Day GS. 1994. The capabilities of market-driven organizations. Journal of Marketing 58: (October): 37-52. Demsetz H. 1988. The theory of the firm revisited. Journal of Law, Economics, and Organization 4(1): 141-162. DosSantos BL, Peffers K. 1995. Rewards to investors in innovative information technology applications: first movers and early followers in ATMs. Organization Science 6(3): 214-259. Durkin M, Howcroft B, O'Donnell A, McCartan Quinn D. 2003. Retail bank customer preferences: personal and remote interactions. International Journal of Retail & Distribution Management 31(4/5): 177-189. Dyer JH. 1996. Specialized supplier networks as a source of competitive advantage: evidence from the auto industry. Strategic Management Journal 17(4): 271-291. Dyer JH, Nobeoka K. 2000. Creating and managing a high-performance knowledge-sharing network: the Toyota case. Strategic Management Journal, March Special Issue 21: 345-367. Eisenhardt KM, Tabrizi BN. 1995. Accelerating adap tive processes: product innovation in the global com puter industry. Administrative Science Quarterly 40: 84-110. Ethiraj SK, Kale P, Krishnan MS, Singh JV. 2005. Where do capabilities come from and how do they matter? A study in the software services industry. Strategic Management Journal 26(1): 25-45. Ettlie JE. 1988. Taking Charge ofManufacturing. Jossey Bass: San Francisco, CA. FFIEC. 2003. E-banking Booklet. InFFIEC Information Technology Examination Handbook, Federal Finan cial Institutions Examination Council: Washington, DC. Available at: http://www.ffiec.gov/ffiecinfobase/ booklets/e_banking/e_banking.pdf (accessed 13 July 2008). Fichman RG, Kemerer CF. 1997. The assimilation of software process innovations: an organizational learning perspective. Management Science 43(10): 1345-1363. Forman C. 2005. The corporate digital divide: determi nants of Internet adoption.Management Science 51(4): 641-654. Fornell C. 1992. A national customer satisfaction barometer: the Swedish experience. Journal of Marketing 56(1): 6-21. Frei FX. 2006. Breaking the trade-off between efficiency and service. Harvard Business Review 84: (Novem ber): 1-10. Gerhart B, Wright PM, McMahan GC. 2000. Measure ment error in research on the human resources and firm performance relationship: further evidence and analysis. Personnel Psychology 53(4): 855-872. Gerhart B, Wright PM, McMahan GC, Snell SA. 2000. Measurement error in research on human resources and firm performance: how much error is there and how does it influence effect size estimates? Personnel Psychology 53(4): 803-834. Glick WH, Huber GP, Miller CC, Doty DH, Sut cliffe KM. 1990. Studying changes in organizational design and effectiveness: retrospective event histories and periodic assessments. Organization Science 1(3): 293-312. Golden BR. 1992. The past is the past?or is it?The use of retrospective accounts as indicators of past strategy. Academy ofManagement Journal 35(4): 848-860. Grant RM. 1996. Prospering in dynamically competitive environments: organizational capability as knowledge integration. Organization Science 7(4): 375-387. Greco J. 1997. Outsourcing: the new partnership. Journal of Business Strategy 18(4): 48-54. Gulati R, Singh H. 1998. The architecture of cooperation: managing coordination costs and appropriation concerns in strategic alliances. Administrative Science Quarterly 43(4): 781-814. Hamel G. 1991. Competition for competence and inter-partner learning within international strategic alliances. Strategic Management Journal, Summer Special Issue 12: 83-103. Hamilton BH, Nickerson JA. 2003. Correcting for endogeneity in strategic management research. Strategic Organization 1(1): 53-80. Helfat CE. 1997. Know-how and asset complementarity and dynamic capability accumulation: the case of R&D. Strategic Management Journal 18(5): 339-360. Helfat CE, Peteraf MA. 2003. The dynamic resource based view: capability lifecycles. Strategic Manage ment Journal, October Special Issue 24: 997-1010. Helfat CE, Raubitschek RS. 2000. Product sequencing: co-evolution of knowledge, capabilities and products. Strategic Management Journal, October-November Special Issue 21: 961-979. Huber GP, Power DJ. 1985. Retrospective reports of strategic-level managers: guidelines for increas ing accuracy. Strategic Management Journal 6(2): 171-180. Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOT: 10. 1002/sm'J This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 21. 614 C.Weigelt Iansiti M, Clark K. 1994. Integration and dynamic capability: evidence from product development in automobiles and mainframe computers. Industrial and Corporate Change 3: 557-606. Johnson M. 2003. Colliding with customers. Computer world 15Dec: 20. Katila R, Ahuja G. 2002. Something old, something new: a longitudinal study of search behavior and new product introduction. Academy of Management Journal 45(6): 1183-1194. Kogut B, Zander U. 1992. Knowledge of the firm, cominative capabilities, and the replication of technology. Organization Science 3(3): 383-397. Kohli AK, Jaworski BJ. 1990. Market orientation: the construct, research propositions, and managerial implications. Journal ofMarketing 54(2): 1-18. Kumar N, Stern LW, Anderson JC. 1993. Conducting interorganizational research using key informants. Academy ofManagement Journal 36(6): 1633-1651. Lavie D. 2006. The competitive advantage of intercon nected firms: an extension of the resource-based view. Academy ofManagement Review 31(3): 638-658. Leiblein MJ, Miller DJ. 2003. An empirical examination of transaction- and firm-level influences on the vertical boundaries of the firm. Strategic Management Journal 24(9): 839-859. Leiblein MJ, Reuer JJ, Dalsace F. 2002. Do make or buy decisions matter? The influence of organizational governance on technological performance. Strategic Management Journal 23(9): 817-833. Leonard-Barton D. 1988. Implementation as mutual adaptation of technology and organization. Research Policy 17: 251-267. Leonard-Barton D. 1992. Core capabilities and core rigidities: a paradox in managing new product devel opment. Strategic Management Journal, Summer Spe cial Issue 13: 111-125. Leonard-Barton D. 1995. Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation. Harvard Business School Press: Boston, MA. Leonard-Barton D, Deschamps I. 1988. Managerial influ ence in the implementation of new technology. Man agement Science 34(10): 1252-1265. Levin SG, Levin SL, Meisel JB. 1987. A dynamic analysis of the adoption of a new technology: the case of optical scanners. Review of Economics and Statistics 69(1): 12-17. Levinthal DA, March JG. 1993. The myopia of learning. Strategic Management Journal, Winter Special Issue 14:95-112. Lovelock CH, Young RF. 1979. Look to consumers to increase productivity. Harvard Business Review 57: (May-June): 168-178. McEvily SK, Chakravarthy B. 2002. The persistence of knowledge-based advantage: an empirical test for product performance and technological knowledge. Strategic Management Journal 23(4): 285-305. McKendrick J. 2002. Leave computing to us: outsourcing hits its stride in banking. Bank Technology News 1 Feb. Meuter ML, Bitner MJ, Ostrom AL, Brown SW. 2005. Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies. Journal of Marketing 69: (April): 61-83. Meyer AD, Goes JB. 1988. Organizational assimilation of innovations: a multilevel contextual analysis. Academy ofManagement Journal 31(4): 897-923. Mitchell W, Singh K. 1996. Survival of business using collaborative relationships to commercialize complex goods. Strategic Management Journal 17(3): 169-195. Monte verde KD. 1995. Technical dialog as an incentive for vertical integration in the semiconductor industry. Management Science 41(10): 1624-1639. Mowery DC, Oxley JE, Silverman BS. 1996. Strategic alliances and interfirm knowledge transfer. Strategic Management Journal, Winter Special Issue 17: 77-91. Mowery DC, Rosenberg N. 1989. Technology and the Pursuit of Economic Growth. Cambridge University Press: Cambridge, UK. Mytelka LK. 1985. Stimulating effective technology transfer: the case of textiles in Africa. In International Technology Transfer: Concepts, Measures, and Com parisons, Rosenberg N, Frischtak C (eds). Praeger: New York; 77-122. Nelson RR, Winter SG. 1982. An Evolutionary Theory of Economic Change. Harvard University Press: Cambridge, MA. Nicholls-Nixon CL,Woo CY. 2003. Technology sourcing and output of established firms in a regime of encompassing technological change. Strategic Management Journal 24(7): 651-666. Nishiguchi T. 1994. Strategic Industrial Sourcing :Tthe Japanese Advantage. Oxford University Press: New York. Novak S, Eppinger SD. 2001. Sourcing by design: product complexity and the supply chain. Management Science 47(1): 189-204. Parasuraman A. 2000. Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research 2(4): 307-320. Pennings JM, Harianto F. 1992. The diffusion of technological innovation in the commercial banking industry. Strategic Management Journal 13(1): 29-46. Penrose ET. 1959. The Theory of theGrowth of theFirm. Oxford University Press: Oxford, UK. Pisano GP. 1990. The R&D boundaries of the firm: an empirical analysis. Administrative Science Quarterly 35(1): 153-176. Pisano GP. 1996. Learning-before-doing in the develop ment of new process technology. Research Policy 25: 1097-1119. Podsakoff PM, Organ DW. 1986. Self-reports in organi zational research: problems and prospects. Journal of Management 12(4): 531-544. Polanyi M. 1967. The Tacit Dimension. Doubleday Anchor: New York. Poppo L, Zenger T. 1998. Testing alternative theories of the firm: transaction cost, knowledge-based, and mea surement explanations for make-or-buy decisions in Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/smj This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 22. Technology Outsourcing, Capabilities, and Performance 615 information services. Strategie Management Journal 19(9): 853-877. Powell WW, Koput KW, Smith-Doerr L. 1996. Interor ganizational collaboration and the locus of innovation: networks of learning in biotechnology. Administrative Science Quarterly 41(1): 116-145. Progent Research. 2002. Small business IT outsourc ing white paper: outsourcing advantages. How small business can benefit from coutsourcing IT services. Progent Corporation: San Jose, CA. http://www.progent.com/pdf/outsource.pdf (accessed 7 January 2009). Purvis RL, Sambamurthy V, Zmud RW. 2001. The assimilation of knowledge platforms in organizations: an empirical investigation. Organization Science 12(2): 117-135. Ray G, Barney JB, Muhanna WA. 2004. Capabilities, business processes, and competitive advantage: choosing the dependent variable in empirical tests of the resource-based view. Strategic Management Journal 25(1): 23-37. Rogers E. 1995. Diffusion of Innovations. Free Press: New York. Rosenberg N. 1982. Inside the Black Box: Technology and Economics. Oxford University Press: Oxford, UK. Rosenberg N. 1990.Why do firms do basic research (with their own money)? Research Policy 19(2): 165-174. Rosenzweig PM. 1994. International sourcing in athletic footwear: Nike and Reebok. Field case 394189, Harvard Business Publishing, Boston, MA. Schoenecker TS, Cooper AC. 1998. The role of firm resources and organizational attributes in determining entry timing: a cross-industry study. Strategic Management Journal 19(12): 1127-1143. Simon HA. 1960. The New Science of Management Decision. Harper & Row: New York. Steensma HK, Corley KG. 2000. On the performance of technology-sourcing partnerships: the interaction between partner interdependence and technology attributes. Academy of Management Journal 43(6): 1045-1067. Swanson EB. 1994. Information systems innovation among organizations. Management Science 40(9): 1069-1092. Teece DJ. 1986. Profiting from technological innovation: implications for integration, collaboration, licensing and public policy. Research Policy 15: 285-305. Thompson JD. 1967. Organizations in Action. McGraw Hill: New York. Utterback JM. 1974. Innovation in industry and the diffusion of technology. Science 15: 658-662. Wheelwright SC, Clark KB. 1992. Revolutionizing Prod uctDevelopment: Quantum Leaps inSpeed, Efficiency, and Quality. Free Press: New York. Womack JP, Jones DT, Roos D. 1990. TheMachine that Changed the World. Rawson Associates: New York. Wooldridge JM. 2003. Introductory Econometrics: A Modern Approach. South-Western College Publishing: Cincinnati, OH. Yeoh P-L, Roth K. 1999. An empirical analysis of sustained advantage in the U.S. pharmaceutical industry: impact of firm resources and capabilities. Strategic Management Journal 20(7): 637-653. Zellner A. 1962. An efficient method of estimating seemingly unrelated regression equations and tests for aggregation bias. Journal of theAmerican Statistical Association 57: 348-368. Zoilo M, Winter SG. 2002. Deliberate learning and the evolution of dynamic capabilities. Organization Science 13(3): 339-351. Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 1O.1002/sm'J This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions
  • 23. 616 C. Weigelt APPENDIX Key measures from survey Integrativecapabilities related to thenew technol ogy: seven-pointLikert scale (1= low; 7 = high) (from second survey) Rate thedegree towhich your bank: 1. Is capable of customizing standardized 'off the-shelf' technology to your bank's Internet applications 2. Is capable of developing futureapplications of Internetbanking services 3. Has adequate IT skills tooperate Internetbank ing in-house All themeasures below are from the first survey: PC banking: Yes, from to (month/year)/No Has your bank ever, at any time, offered a PC direct-dialprogram for your retailcustomers? (PC direct-dial programs require client software in stalled onyour customers'PC with a directmodem connection either toyour bankor toan Internetser vice provider, such as AOL or AT&T, supporting theservice on behalf of your bank.) Outsourcing parties: number of external parties Indicatewith howmany externalparties your bank contractedfor each service. Degree of outsourcing: At the time when your bankfirst adopted each of the following online services,what was thepercentage of in-house development versus external arrange ments (third party/vendor relationships) that your bank used to implement each service? In- Ex- # of house temal external parties Account balance = 100% inquiry and funds transfer services Bill payment services = 100% Bill presentment = 100% services Credit/loan/mortgage = 100% services Investment = 100% (non-FDIC insured) services Insurance services = 100% Nontraditional = 100% services (e.g., Web site hosting, account aggregation, virtual mall) CRM (customer = 100% relationship management) services in general Time of adoption: Year: - Month: When did your Web site begin to offer transactional capabilities? IT strength: seven-point Likert scale What was your bank's overall technology/IT knowl edge and resources relative to peers at the time when deciding to launch your initial Web presence? 1. Overall technology/IT knowledge 2. IT investments/budget Copyright ? 2009 JohnWiley & Sons, Ltd. Strat. Mgmt. J., 30: 595-616 (2009) DOI: 10. 1002/sm'J This content downloaded from 139.184.14.159 on Thu, 01 Oct 2015 09:13:00 UTC All use subject to JSTOR Terms and Conditions