Organizations do not always embrace strategies, structures, and processes that enhance their performance but, instead, react to and seek ways to accommodate pressures following external scrutiny and regulation.
2. s
To help address the digital divide
among citizens and communities and to
promote e-Inclusion, the Philippine
Community e-Center (CeC) program
was established.
4. Factors that may affect program success
Non-Institutional
External
Competitive Pressure
Organizational
Organization Size
Institutional
Mimetic Pressure
Normative Pressure
Coercive Pressure
5. Mimetic - results from direct peer imitation that
alleviates organizational uncertainty.
Normative - results primarily from professional
standardization.
Coercive - results from external demands
such as formal legal directives or from informal
pressures acting on dependent organizations
that encourage them to assume a particular structure
or meet particular cultural expectations.
Institutional Theory Institutional Isomorphic Pressures
6. Objective
To determine the influence of…
a. institutional isomorphic pressures
(mimetic, normative, and coercive); and
b. non-institutional factors of organizational
characteristics (organization size) and
environmental characteristics
(competition intensity)
… on the utilization and performance of
e-Inclusion program in LGUs in the
Philippines.
7. Hypotheses
1. Mimetic, normative, and coercive isomorphic
pressures, and competition among LGUs will
lead to utilization of e-Inclusion program in
local government units.
2. Big LGUs will have less utilization of e-Inclusion
program.
8. Methodology
Units of analysis:
Municipal government
units with Community
e-Center program
under the eLGU project.
Out of 98 municipalities,
45 had completed the
survey (46% of the
study population).
9. Methodology
Kaiser-Meyer-Olkin (KMO) analysis tested
sampling adequacy and to check the case to variable
ratio.
Sampling in this study was found adequate at 0.631.
Bartlett’s Test of Sphericity tested the validity and
suitability of the responses collected to the problem being
addressed through the study.
Result was highly significant (p < 0.001).
Exploratory Factor Analysis (EFA) was used to test
the factor structure demonstrating the intercorrelation among
the variables. Principal Component Analysis with Varimax
rotation method with Kaiser Normalization was employed.
10. Methodology
Cronbach's alpha tested the reliability or the
consistency of the item-level errors within a single factor.
Using the statistical software SPSS-AMOS,
Confirmatory Factor Analysis (CFA) was
employed to confirm the factor structure extracted in the
EFA.
11. Result of the Exploratory Factor Analysis
(EFA)
Chronbach’s
Alpha
0.870
0.887
0.869
0.818
0.782
Cronbach's alpha should be above 0.7 (Nunnally, 1978).
15. Institutional Factors and
CeCs’ Utilization and Performance
Coercive isomorphic pressure significantly,
directly, and positively influences utilization.
The greater coercive pressure there is, the more the
CeCs are utilized after an LGU adopts the project.
Coercive pressure demonstrated indirect,
positive and significant effect to performance
through full mediation of utilization.
Coercive pressure can have positive rather than
negative effect to performance albeit indirectly.
Institutional pressure may not always prompt
organizations to trade performance for legitimacy as
opposed to results of other studies.
16. Strongest influence of coercive
pressure to utilization was from
accountability to national
government (0.89).
State-driven coercive isomorphism
(DiMaggio & Powell, 1983).
Authority relations (Scott, 1987)
The national government as the dominant
organization has a major role to play in
compelling non-dominant organizations
such as the municipal LGUs to support the
operation of their CeCs.
Accountability to people (0.64) was the least influential
among the three institutional coercive pressures measured.
Institutional Factors and
CeCs’ Utilization and Performance
17. Institutional Factors and
CeCs’ Utilization and Performance
Mimetic and normative isomorphic pressures
did not show significant influence on utilization
nor performance.
The first 100 CeCs are pilot projects which may
have limited the mimetic pressure felt by LGUs.
Positions in the CeCs (Center Manager, Center
Assistant) generally are only intervening tasks for
permanent employees.
Post-adoption, LGUs with CeCs have limited
professional associations, conferences, or
publications which could serve as a venue for them
to socialize thus limits normative pressure.
18. Non-Institutional Factors and
CeCs Utilization and Performance
Organizational size (income and population)
has a significant, negative but indirect influence
to performance.
Bigger LGUs performed worse than smaller LGUs.
Size is often associated with inertia in the post-
adoptive diffusion of e-business(Zhu and Kraemer,
2005).
19. Non-Institutional Factors and
CeCs’ Utilization and Performance
External competitive pressure
did not show any significant
influence on utilization nor
performance.
Competition is not a driving
force to the utilization of
e-Inclusion program among
municipal governments.
Unlike in the private sector,
LGUs do not always feel the
need to outperform their rivals.
20. Conclusion
The model generated in the study draws a
complex picture of e-Inclusion program utilization
processes and influences and the complementary
roles played by both organizational features and
institutional forces.
LGUs are not just capable of generating
institutional pressures but also potentially very
vulnerable to these same pressures.
This study shed light on the susceptibility of local
government organizations to institutional
isomorphic pressures particularly from higher
government authorities despite decentralization.
This e-Inclusion program called the Community e-Center or CeC have been rolled out and funded under e-Government Fund managed by the Department of Science and Technology-Commission on Information and Technology (DOST).
It has been recognized that the study on ICT adoption and usage in various settings is not only influenced by organizational characteristics nor its external environment. There are also cultural and institutional forces that mediate the spread of management practice and also recognizes that organizations often enact changes that reflect ‘myths in the institutional environment rather than a detached calculus of costs and benefits’ (Frumkin & Galaskiewicz, 2004). Organizations do not always embrace strategies, structures, and processes that enhance their performance but, instead, react to and seek ways to accommodate pressures following external scrutiny and regulation.
(DiMaggio & Powell, 1983; Scott, 1995; Scott & Christensen, 1995; Scott & Meyer, 1994)
Normative - ….Employees may be formally socialized into normative practices through education or training in their profession or by learning organizational protocols, or they may learn these practices more informally through professional associations, conferences, and publications.
a. research in organizational theory has tended to view public sector agencies more as playing the role of catalyst and trigger to institutionalization in other organizations, rather than as the objects of institutional pressures (Frumkin & Galaskiewicz, 2004).
b. Traditional research has tended to focus on organizational characteristics, essentially arguing that organizations with the necessary resources (such as size and budget) are most likely to adopt and implement e-Government innovations (e.g., Finn et al., 2006; Hikmet et al., 2008). However, research guided by institutional theory has tended to focus on institutional isomorphic pressures as an alternative to traditional explanations. Thus, prior research suggests an either – or approach to assessing influences (Zorn, et al., 2011). This study aims to integrate the two approaches.
large organizations generally possess slack resources, which have been argued as an important facilitator in innovation diffusion (Rogers, 1995). On the other hand, earlier work has proposed a different perspective regarding the role of size in the post-adoptive diffusion of e-business (Zhu and Kraemer, 2005, p. 69): ‘size is often associated with inertia which may slow down organizational usage; that is, large firms tend to be less agile and less flexible than small firms. In contrast, small organizations require less communication, less coordination, and less influence to gather support’ (Nord & Tucker, 1987,p. 18), in making organizational changes associated with e-business or e-government usage.
while four municipalities sent back their questionnaires or had expressed their intention to participate but, unfortunately, had already stopped or suspended their e-Inclusion program’s operation before the reference year 2012.
Table shows that variables are grouped or loaded onto five factors (three for institutional isomorphic pressure: normative, coercive and mimetic; two for non-institutional factors: environmental (competition intensity) and organizational (organization size) which tells that convergent and discriminant validity (factors are distinct and uncorrelated) are evident by the high loadings within factors (>.65), and no cross-loadings between factors.
Cronbach‘s value for all constructs in this study implies that they are internally consistent and measure the same content of the construct.
The metrics on the overall fit indices (CM/DF=1.643, RFI=.827, NFI=.874, IFI=.969, CFI=.968, RMSEA=.063) shows that the factor structure well accounts for the correlations between variables in the dataset which shows a good fit.
Structural equation modeling (SEM) is a series of statistical methods that allow complex relationships between one or more independent variables and one or more dependent variables. Though there are many ways to describe SEM, it is most commonly thought of as a hybrid between some form of analysis of variance (ANOVA)/regression and some form of factor analysis.
Among the strengths of SEM is the ability to construct latent variables: variables that are not measured directly, as against manifest variables.