5th Global Value Creation Conference https://smartconf.jp/content/gccv5th/program The Future of Creating Value with AI: A Service Science Perspective This talk explores the future of Artificial Intelligence (AI) for creating value. AI, both service robot automation and service augmentation platforms, are poised to improve service productivity, quality, compliance, sustainable innovation, resilience, equity and inclusion for under-served populations. Service is defined as the application of knowledge for the benefit of another. Service innovations improve interaction and change processes in business and society. However, to achieve these outcomes and create value with AI, responsible actors (people, businesses, governments, universities) must learn to invest wisely in becoming better future versions of themselves augmented by their AI digital twin. Learning to invest systematically can accelerate both value cocreation and capability coelevation in a virtual cycle of responsible actor interaction and change processes. However, great risks must also be avoided.

1. 2022 5th Global Conference on Creating Value
The Future of Creating Value with AI:
A Service Science Perspective
Jim Spohrer
Retired IBM Executive
UIDP Senior Fellow & Member ISSIP.org
Questions: spohrer@gmail.com
Twitter: @JimSpohrer
LinkedIn: https://www.linkedin.com/in/spohrer/
Slack: https://slack.lfai.foundation
Presentations online at: https://slideshare.net/spohrer
Thanks to Youji Kohda and Gautam Mahajan for the invitation
to discuss The Future of Creating Value with AI
Friday September 2, 2022, 430pm PT (Feb 3 in Japan)
Highly recommend:
Humankind: A Hopeful History
By Dutch Historian, Rutger Bregman
<- Thanks
To Ray Fisk
For suggesting
this book, see
My summary here.

2. Abstract
• This talk explores the future of Artificial Intelligence (AI) for creating value.
AI, both service robot automation and service augmentation platforms, are
poised to improve service productivity, quality, compliance, sustainable
innovation, resilience, equity and inclusion for under-served populations.
Service is defined as the application of knowledge for the benefit of
another. Service innovations improve interaction and change processes in
business and society. However, to achieve these outcomes and create value
with AI, responsible actors (people, businesses, governments, universities)
must learn to invest wisely in becoming better future versions of
themselves augmented by their AI digital twin. Learning to invest
systematically can accelerate both value cocreation and capability
coelevation in a virtual cycle of responsible actor interaction and change
processes. However, great risks must also be avoided.
Jim Spohrer (ISSP) 2

3. Today’s Talk
• Preamble: On Value
• AI tools to try today
• AI tools coming in a few decades
• A timeline for predicting AI capabilities
• Call to Action
• Discussion
• Additional Resources
Jim Spohrer (ISSP) 3

4. Preamble: On Value
• Service Science
• S-D Logic (Vargo & Lusch 2016)
• Service is the application of resource s(e.g.,
knowledge) for the benefit of another
• Value … uniquely … determined by beneficiary
• Improvement processes for service system
innovation and value cocreation
• Learning to invest systematically to…
• Improve win-win interaction
• Improve win-win change
• Companies as service systems
• Technology platforms, energy, investing, healthcare
• Nations as service systems
• Investments in upskilling people
• Top ranked global universities
• Population (+ capital-technology-wealth)
• A Brief History of Value
• Family (GDP of tribes)
• Cities (GDP of cities)
• Nations (GDP of nations)
• Businesses (GDP of AI-powered platforms that help
people interact, upskill, upenergy, upwealth,
uphealth, etc.)
Value co-creation is accelerated when large numbers of highly skilled people with advanced technology have a safe and sustainable environment for win-win interaction and change.
Jim Spohrer (ISSP) 4

5. AI Tools to Experiment with Today
• #1 Magic Eraser
• #2 Craiyon
• #3 Rytr
• #4 Thing Translator
• #5 Autodraw
• #6 Fontjoy
• #7 Talk to Book
• #8 This Person Does Not Exist
• #9 Namelix
• #10 Let's Enhance
Thanks to @TessaRDavis
for compiling this list: “Service providers
will not be
replaced by AI,
but service providers
who do not use AI
will be replaced by
those who do.”
Jim Spohrer (ISSP) 5
Try at least two
from the list
as soon as you can.
What do you think?

6. Read Wakefield
(2020)
enough to
understand what
a ”digital twin”
of you might be
like in the future
decades with
very advanced AI
capabilities.
Jim Spohrer (ISSP) 6
AI Tools
in coming
decades…

7. Predict the Timeline: GDP/Employee
Jim Spohrer (ISSP) 7
(Source)
Lower compute costs translate into increasing productivity and GDP/employees for nations
Increasing productivity and GDP/employees should translate into wealthier citizens
AI Progress on Open Leaderboards
Benchmark Roadmap to solve AI/IA
Alistair Nolan (OECD AI for Science Productivity): “It has been stated that the number of engineers proclaiming the end of Moore's Law doubles every two years.”
Rouse WB, Spohrer JC. (2018) Automating versus augmenting intelligence. Journal of Enterprise Transformation. 2018 Apr 3;8(1-2):1-21.
Read Rouse & Spohrer (2018)
enough to understand this slide
including what ”exascale” means

8. Call to Action
• Responsible actors need to learn to invest wisely in
getting the future service innovations we want with AI
– guided by “Service Innovation Roadmaps (SIRs).”
Jim Spohrer (ISSP) 8
Read enough of IfM and IBM (2008)
to understand what a “Service Innovation
Roadmap (SIR)” is – and who should be
creating them.

9. Discussion
• Are you positive or negative about AI?
• If positive, are you using any specific AI tools today?
• See list of AI tools to try on a previous slide
• How are you investing in upskilling with AI?
• If negative, do you have a specific concern (“ditch to avoid”) – for example…?
• AI will take away my job
• AI will be used primarily by “bad actors” for mischief
• Or used by social media platforms to generate more clicks/attention thru angry
reactions
• AI will try to take over people and planet
• AI will deskill and weaken people over time
• … or other concerns about AI?
• Do you believe responsible actors (e.g., people, businesses,
universities, governments, etc.) are learning to to invest
systematically and wisely in getting the future we want? If not, why
not – what is needed?
• Join ISSIP.org (free for individuals) if you would like to continue the
conversation!
Jim Spohrer (ISSP) 9
Read enough of pages 45-54 of Spohrer, Maglio, Vargo, Warg (2022) to formulate an
opinion on the topic of “investing wisely to get the future service systems we want.”

10. Additional Resources
• Arthur WB (2019) Foundations of Complexity Economics. Nature Review Physics.
• Dietrich BL, Plachy EC, Norton MF (2014) Analytics Across the Enterprise.
• Donofrio N, DeMarco M (2022) If Nothing Changes, Nothing Changes: The Nick Donofrio.
• IfM and IBM (2008) Succeeding through service innovation: A service perspective for education, research, business and government.
• Larson RC (2022) Model Thinking for Everyday Life Working Wonders with a Blank Sheet of Paper. (Coming Soon).
• Lebovitz S, Lifshitz-Assaf H, Levina N (2022) To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with
Opacity When Using AI for Medical Diagnosis. Organization Science.
• Madhavan G, Poste G, Rouse W (2020) Complex Unifiable System. Editors' Note: Systemic Vistas. Winter 2020. The Bridge.
• Maglio PP, Kieliszewki CA, Spohrer JC (2010) Handbook of Service Science
• Maglio PP, Kieliszewki CA, Spohrer JC, Lyons K, Patrício L, Sawatani Y (2019) Handbook of Service Science, Vol II
• Spohrer J, Maglio, PP (2009) Service Science: Toward a Smarter Planet. In Service Engineering.
• Spohrer J, Maglio PP, Vargo SL, Warg M (2022) Service in the AI Era: Science, Logic, and Architecture Perspectives.
• US 110th Congress (2007) SEC. 1005. STUDY OF SERVICE SCIENCE.
• Vargo SL, Lusch RF (2016) Institutions and Axioms: An Extension and Update of Service-Dominant Logic. JAMS.
• Wakefield J (2022) Why you may have a thinking digital twin within a decade. BBC News Online.
• West S, Stoll O, Muller-Csernetzky P (2022) A Handbook for Smart Service Design - The design of Smart Services in a world of people,
process and things.
• Wladalsky-Berger I (2016) The Continuing Evolution of Service Science.
• Wladalsky-Berger I (2019) The Increasing Demand for Hybrid, “T-Shaped” Workers
• Wladalsky-Berger I (2022) A New Measurement Framework for the Digital Economy.
• Wladalsky-Berger I (2022) Foundation Models: AI’s Exciting New Frontier.
Jim Spohrer (ISSP) 10

11. Questions
• Why so positive about the future
of AI to improve service systems,
and the give and get of service
daily by responsible actors?
• What AI tools being used today,
and what is missing?
• What are the implications of an
AI Digital Twins, coming in a few
decades?
• What could go wrong and how to
avoid going in the ditch?
Service is the the
application of resources
(e.g., knowledge) for the
benefit of another.
Service system innovations
improve win-win
interaction and change in
business and society.
Service innovations come
in six main flavors.
The “future of AI” will be
responsible actors (service
system entities becoming
X+AI) learning to invest
systematically and wisely in
becoming better future
versions of themselves,
while inventing resilient
and equitable non-zero-
sum games – sustainably
serving people and planet.
Jim Spohrer (ISSP) 11

12. Jim Spohrer (ISSP) 12
Value
Science
Engineering
Policy
Investing in Skills
for Diverse Systems to
Sustainably Serve
People and Planet
in the AI Era
Management
Service
Science
Management
Engineering
Many disciplines
Many sectors
Many regions/cultures
(understanding & communications)
Deep
in
one
sector
Deep
in
one
region/culture
Deep
in
one
discipline
T-Shaped Skills
Depth and Breadth
People-centered
Data-intensive
+Design-Arts-
Public-Policy

13. Service Science
• Progress being made understanding
people-centered, data-intensive
service systems (see ISSIP.org)
• However, still missing “a tool” to
accelerate progress further – though AI
tools are looking promising
• Missing Tool: Modeling and simulating
service systems as part of an evolving
ecology of strategies of ”responsible
actors” learning to invest
systematically
• Digital Twins (see West et al, 2022)
• Complexity Economics (see Arthur 2019)
Jim Spohrer (ISSP) 13
2008 2010
2022
2019

14. Two disciplines: Two approaches to the future
Artificial Intelligence is almost seventy-years-old discipline in computer
science that studies automation and builds more capable technological
systems. AI tries to understand the intelligent things that people can do
and then does those things with technology. (https://deepmind.com/about “...
we aim to build advanced AI - sometimes known as Artificial General Intelligence (AGI) - to
expand our knowledge and find new answers. By solving this, we believe we could help
people solve thousands of problems.”)
Service science is an emerging transdiscipline not yet twenty-years- old
that studies transformation and builds smarter and wiser socoi-
technical systems – families, businesses, nations, platforms and other
special types of responsible entities and their win-win interactions that
transform value co-creation and capability co-elevation mechanisms
that build more resilient future versions of themselves – what we call
service systems entities. Service science tries to understand the
evolving ecology of service system entities, their capabilities,
constraints, rights, and responsibilities, and then then seeks to improve
the quality of life of people (present/smarter and future/wiser) in those
service systems.
Jim Spohrer (ISSP)
14
Artificial Intelligence
Automation
Generations of machines
Service Science
Transformation
Generations of people
(responsible entities)
Service systems are dynamic configurations of people,
technology, organizations, and information, connected
internally and externally by value propositions, to other
service system entities. (Maglio et al 2009)

15. Service Science: Conceptual Framework
Jim Spohrer (ISSP) 15
Service Science

16. Jim Spohrer (ISSP) 16
Service Science: Transdisciplinary Framework to Study Service Systems
Systems that focus on flows of things Systems that govern
Systems that support people’s activities
transportation &
supply chain water &
waste
food &
products
energy
& electricity
building &
construction
healthcare
& family
retail &
hospitality banking
& finance
ICT &
cloud
education
&work
city
secure
state
scale
nation
laws
social sciences
behavioral sciences
management sciences
political sciences
learning sciences
cognitive sciences
system sciences
information sciences
organization sciences
decision sciences
run professions
transform professions
innovate professions
e.g., econ & law
e.g., marketing
e.g., operations
e.g., public policy
e.g., game theory
and strategy
e.g., psychology
e.g., industrial eng.
e.g., computer sci
e.g., knowledge mgmt
e.g., statistics
e.g., knowledge worker
e.g., consultant
e.g., entrepreneur
stakeholders
Customer
Provider
Authority
Competitors
resources
People
Technology
Information
Organizations
change
History
(Data Analytics)
Future
(Roadmap)
value
Run
Transform
(Copy)
Innovate
(Invent)
Stackholders (As-Is)
Resources (As-Is)
Change (Might-Become)
Value (To-Be)

17. IBM’s Service Journey: A Summary Sketch
Jim Spohrer (ISSP) 17
Spohrer J (2017 ) IBM's service journey: A summary sketch. Industrial Marketing Management. 60:167-172.

18. What expertise does
a service scientist require?
What degrees can
a service scientist earn?
Ultimately, what tool will
a service scientist most need?
Ultimately, what purpose should
a service scientist focus on?
How to learn to invest wisely to
Improve win-win interaction and
change processes for service systems?
Year Delighted when… … and many people to thank when…
2022 Exploring ServCollab and ISSIP collaborations & forthcoming book
SSME and T-shaped Skills mentioned in Nick Donofrio Autobiography
2021 Christopher Lovelock Career Contributions to Service Discipline Award
IBMer Utpal Mangla, Elected to 2022 ISSIP VP/2023 President role
2020 Linux Foundation AI & Data TAC Chair Elected – open-source trusted AI
2019 Handbook of Service Science, Volume 2
2018 IBMer Rama Akkiraju, President of ISSIP
2017 Daniel Berg Award for Technology and Service Systems Award (IAITQM)
2016 NSF invests $13M in smart, human-centered Service Systems
2015 IBMer Jeff Welser, President of ISSIP
2014 IBM hosted Frontiers in Service Conference in San Jose, CA
2013 Vargo & Lusch S-D Logic Award, E. Gummesson Award (Naples Forum)
PICMET Fellow for Advancing Service Science
2012 International Society of Service Innovation Professionals established
2011 IBM Centennial Icon-of-Progress – including SSME and Smarter Planet
2010 Handbook of Service Science, Volume 1
2009 Robin Qiu launches INFORMS Journal of Service Science
2008 Cambridge Report – “Succeeding Through Service Innovation”
HICSS starts a service scince mini-track Paul Maglio/Furen Lin
2007 SSME in USA America COMPETES Act Congressional Legislation
IBM hosted Frontiers in Service Conference in San Francisco, CA
2006 IBM Research Awards for CBM, Data Analytics, Solution, etc. tools
2005 Attended fist Frontiers in Service – ”Big tent” getting bigger
2004 China, Japan, Finland, Germany, etc. Launch knowledge-intensive
service initiatives
2003 ”Big Tent” Service Conference at IBM Almaden, SSME Faculty Awards
2002 IBM established Almaden Service Research (ASR) group
Jim Spohrer (ISSP) 18

19. Jim Spohrer (ISSP) 19

20. 20
How responsible entities (service systems) learn and change over time
History and future of Run-Transform-Innovate investment choices
• Diverse Types
• Persons (Individuals)
• Families
• Regional Entities
• Universities
• Hospitals
• Cities
• States/Provinces
• Nations
• Other Enterprises
• Businesses
• Non-profits
• Learning & Change
• Run = use existing knowledge
or standard practices (use)
• Transform = adopt a new best
practice (copy)
• Innovate = create a new best
practice (invent) Innovate
Invest in each
type of change
Spohrer J, Golinelli GM, Piciocchi P, Bassano C (2010) An integrated SS-VSA analysis of changing job roles. Service Science. 2010 Jun;2(1-2):1-20.
March JG (1991) Exploration and exploitation in organizational learning. Organization science. 1991 Feb;2(1):71-87. URL:
exploit
explore
Jim Spohrer (ISSP)

21. © 2011 IBM Corporation
IBM UP (University Programs) WW
21
L
Product-Service Systems as Learning Systems
Learning Systems
(“Life = Choices”)
Exploitation
(James March)
Run/Practice&Reduce
(IBM)
Operations Costs
Maintenance Costs
Incidence Planning &
Response Costs
(Insure)
Exploration
(James March)
Transform/Follow
(IBM)
Internal
External
Interactions
Innovate/Lead
(IBM)
Incremental
Radical
Super-Radical
“To be
the best,
learn from
the rest”
“Double
monetize,
internal win
and ‘sell’ to
external”
“Try to
operate
inside
the
comfort
zone”
Linda Sanford, IBM “Let Go To Grow”

22. 22
What is a Responsible Service System Entity?
… customers/practitioners just name <your favorite provider>
… learners just name <your favorite role model>
Economics, Law, & Public Policy
Social & Behavioral Sciences
Design/
Cognitive Science
Systems
Engineering &
Human Factors
Operations
Computer Science/
Artificial Intelligence
Marketing
“a service system is a human-made system
to improve value co-creation interactions;
a dynamic configuration of resources
interconnected by value propositions.”
“service science is
the transdisciplinary study of
the evolving ecology of
responsible service systems entities
& their value-cocreation and
capability co-elevation
interactions.”
What is Service Science?
…researchers just name <your favorite discipline>
…educators just name <your favorite aha moment>
Jim Spohrer (ISSP)

23. “The best way to predict the future is to inspire the
next generation of students to build it better”
Digital Natives Transportation Water Manufacturing
Energy Construction ICT Retail
Finance Healthcare Education Government
Jim Spohrer (ISSP) 23

24. Upskilling…
T-shaped
(l)earners
Gardner P, Maietta HN
(2020) Advancing Talent
Development: Steps
Toward a T-Model
Infused Undergraduate
Education.
Moghaddam Y, Demirkan
H, Spohrer J (2018) T-
Shaped Professionals:
Adaptive Innovators.

25. Jim Spohrer (ISSP) 25
T-shaped Adaptive Innovator: Deep Problem-Solving and Broad Communication/Collaboration
Advanced Tech: AI to IoT to Quantum, GreenTech, RegTech, etc.
Work Practices: Agile, Service Design, Open Source
Mindset: Growth Mindset, Positive Mindset, Entrepreneurial
Many disciplines
Many sectors
Many regions/cultures
(understanding & communications)
Deep
in
one
sector
Deep
in
one
region/culture
Deep
in
one
discipline

26. Jim Spohrer (ISSP) 26

27. 27
1955 1975 1995 2015 2035 2055
Better Building Blocks
Jim Spohrer (ISSP)

28. 10 million minutes of experience
Jim Spohrer (ISSP) 28

29. 2 million minutes of experience
Jim Spohrer (ISSP) 29

30. Jim Spohrer, Board of Directors, ISSIP.org
Jim Spohrer serves on the Board of Directors of the International Society of
Service Innovation Professionals, and as a contributor to the Linux Foundation
AI and Data Foundation. He is a retired IBM Executive since July 2021, and
previously directed IBM’s open-source Artificial Intelligence developer
ecosystem effort, was CTO IBM Venture Capital Group, co-founded IBM
Almaden Service Research, and led IBM Global University Programs. After his
MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon)
before receiving his Yale PhD in Computer Science/AI. In the 1990’s, he attained
Apple Computers’ Distinguished Engineer Scientist and Technologist role for
next generation learning platforms. With over ninety publications and nine
patents, he received the Christopher Loverlock Career Contributions to the
Service Discipline award, Gummesson Service Research award, Vargo and Lusch
Service-Dominant Logic award, Daniel Berg Service Systems award, and a
PICMET Fellow for advancing service science. Jim was elected and previously
served as LF AI & Data Technical Advisory Board Chairperson and ONNX Steering
Committee Member (2020-2021), UIDP Senior Fellow for contributions to
industry-university collaborations.
30
From 2002 - 2009, Jim co-founded
(with Paul Maglio) and directed
IBM Almaden Service Research
helping to establish service science,
applying science, technology,
and T-shaped upskilling of people to
business and societal transformation.
Who I am
2021 A big year: (1) hit 65, (2) career award, (3) retired from IBM
Jim Spohrer (ISSP)

31. Who I am: Take 2
The Three Ages of Man (Giorgione)
Thanks to Alan Hartman for kind inspiration (slides) (recording) Service, when responsible entities apply their knowledge for mutual benefits
win-win/non-zero-sum games/value co-creation/capability co-elevation
Service is a central, fundamental concept of the value of systems interacting
(entities-interactions-outcomes)
Jim Spohrer (ISSP) 31

32. What I study
Service Science and Open Source AI – Trust is key to both
Service
Science
Artificial
Intelligence
Trust:
Value Co-Creation/Collaboration
Responsible Entities Learning to Invest
Transdisciplinary Community
Trust:
Secure, Fair, Explainable
Machine Collaborators
Open Source Communities
Jim Spohrer (ISSP) 32

33. © 2011 IBM Corporation
IBM UP (University Programs) WW
33
Understanding the Human-Made World
See Paul Romer’s Charter Cities Video: http://www.ted.com/talks/paul_romer.html
Also see:
Symbolic Species, Deacon
Company of Strangers, Seabright
Sciences of the Artificial, Simon

34. Jim Spohrer (ISSP) 34

35. Jim Spohrer (ISSP) 35

36. Jim Spohrer (ISSP) 36

37. Intelligence Augmentation (IA) =
Socio-Technical Extension Factor on Capabilities
• Engelbart (1962)
• Spohrer & Engelbart (2002)
Jim Spohrer (ISSP) 37
Dedicated to Douglas E. Engelbart, Inventor
The Mouse (Pointing Device)
The Mother of All Demos
Bootstrapping Practice/Augmentation Theory
Note: Bush (1945) and Licklider (1960) created funding programs that benefitted Engelbart in building working systems.

38. IA as Socio-Technical Extension Factor on Capabilities & Values
IA (human values) is not AI (technology capability)
Difference 1: IA leads to more capable people even when scaffold removed
Difference 2: IA leads to more responsible people to use wisely the capabilities
Jim Spohrer (ISSP) 38
Superminds
Malone (2018)
Things that Make
Us Smart
Norman (1994)
Worldboard
Augmented Perception
Spohrer (1999)
Bicycles for the Mind
Kay & Jobs (1984)
Techno-Extension Factor
Measurement
& Accelerating
Socio-Technical Design Loop
Kline (1996)

39. References
• Araya D (2018) Augmented Intelligence: Smart Systems and the Future of Work and Learning. Peter Lang International Academic Publishers; 2018 Sep 28.
• Bush V (1945) As we may think. The Atlantic Monthly. 1945 Jul 1;176(1):101-8.
• Engelbart D (1962) Augmenting human intellect. Summary report AFOSR-3223 under Contract AF. 1962 Oct;49(638):1024.
• Gardner P, Maietta HN (2020) Advancing Talent Development: Steps Toward a T-Model Infused Undergraduate Education. Business Expert Press. URL:
https://www.amazon.com/Advancing-Talent-Development-Undergraduate-Education/dp/1951527062
• Kay A, Jobs S (1984) Wheels for the Mind. Apple Computer.
• Kline SJ (1995) Conceptual foundations for multidisciplinary thinking. Stanford University Press; 1995.
• Licklider JC (1960) . Man-computer symbiosis. IRE transactions on human factors in electronics. 1960 Mar(1):4-11.
• Malone TW (2018) Superminds: The surprising power of people and computers thinking together. Little, Brown Spark; 2018 May 15.
• Norman D (1994) Things that make us smart: Defending human attributes in the age of the machine. Diversion Books; 2014 Dec 2.
• Rouse WB, Spohrer JC (2018) Automating versus augmenting intelligence. Journal of Enterprise Transformation. 2018 Feb 7:1-21.
• Siddike MA, Spohrer J, Demirkan H, Kohda Y (2018) A Framework of Enhanced Performance: People's Interactions With Cognitive Assistants. International Journal
of Systems and Service-Oriented Engineering (IJSSOE). 2018 Jul 1;8(3):1-7.
• Spohrer JC (1998) Information in places. IBM Systems Journal. 1999;38(4):602-28.
• Spohrer JC, Engelbart DC (2004) Converging technologies for enhancing human performance: Science and business perspectives. Annals of the New York Academy
of Sciences. 2004 May;1013(1):50-82.
• Spohrer J, Siddike (2018) The Future of Digital Cognitive Systems: Tool, Assistant, Collaborator, Coach, Mediator. In Ed. Araya D. Augmented Intelligence: Smart
Systems and the Future of Work and Learning. Peter Lang International Academic Publishers; 2018 Sep 28.
• Spohrer J (2020) Online Platform Economy and Gig Workers: A USA Perspective. Presentation.
• Spohrer J & Maglio PP (2006) Service Science Management and Engineering (SSME): An Emerging Discipline. IBM Presentation.
Jim Spohrer (ISSP) 39

40. Write
Speak
Offer
Awards
Volunteers
ISSIP Platform Operations, Leadership Team, Supporters, Sponsors
International Society of Service Innovation Professionals (ISSIP.org)
“service innovations improve win-win interactions and change in business and society”
Join ISSIP to network with service innovation professionals and upcoming students,
while growing your knowledge sharing eminence about service systems/responsible actors,
in a non-profit professional association that promotes lifelong learning and T-shaped upskilling.
“everyone has something to learn, everyone has something to share”
Service – The application of resources (e.g., knowledge) for the benefit of another.
Service Innovations – Improvements in win-win interactions and change in business and society.
Win-Win– Service-for-service exchange, also called value co-creation interactions between actors.
Responsible Actors – individuals, businesses, universities, governments, also called service system entities.
Eminence – Professional reputation that comes from learning to invest more wisely in service innovations.
ISSIP helps members learn to invest more systematically in service innovations that matter.
Jim Spohrer (ISSP) 40

41. ISSIP: Service Innovation and T-Shaped Adaptive Innovators Breadth
Depth
Breadth
Depth
Depth
Depth
Breadth
Breadth
Breadth
Depth
Depth
Depth
Breadth
Breadth
Breadth
Depth
Depth
Depth
Breadth
Breadth
Communications
Problem
Solving
Cultures
Systems
Disciplines
Cultures
Disciplines
Systems
Cultures
Systems
Disciplines
Cultures
Disciplines
Systems
Mindsets
Mindsets
Work
Practices
Advancing
Tech.
Work Practices
Advancing Tech.
Individual Expertise – T1, T3
Collective Expertise – T6
Augmented Expertise – T6
Role
Skills
Identity
Threatened Empowered
Service
Offerings
Service-for-Service
Exchange
Sustaining “mindsets” requires “like-minded”
Sustaining “innovation” requires “depth-diversity-inclusion”
Sustaining above requires “lifelong learning – interaction & change”
Sustaining people requires “rhythmic cycles” – breath, drink & eat, sleep, etc.
T1
T3
T6
I
We
I
We
Me
Me
Jim Spohrer (ISSP) 41

42. Jim Spohrer (ISSP) 42

43. 5/18/22, 6:57 AM
Page 1 of 2
https://media.licdn.com/embeds/native- document.html?li_theme=light
See Ricardo Martins - https://www.linkedin.com/in/ricardoalexmartins/
Jim Spohrer (ISSP) 43