IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v20y2014i1d10.1007_s10588-013-9159-9.html
   My bibliography  Save this article

A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory

Author

Listed:
  • Ning Nan

    (The University of British Columbia)

  • Robert Zmud

    (University of Oklahoma)

  • Emre Yetgin

    (University of Oklahoma)

Abstract

In this paper we integrate the rich yet fragmented insights from the extensive literature on the diffusion of innovation into an elegant, coherent model. Using complex adaptive systems theory as the overarching framework, we integrate prior literature around three constructs: agents, interactions, and an environment. The integrated model is presented in both natural language and as an agent-based simulation model. A series of validation experiments instill confidence that our agent-based model (and similar others) can be used as a virtual research laboratory. We provide theoretical and methodological directions for future research.

Suggested Citation

  • Ning Nan & Robert Zmud & Emre Yetgin, 2014. "A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory," Computational and Mathematical Organization Theory, Springer, vol. 20(1), pages 52-88, March.
    • Handle: RePEc:spr:comaot:v:20:y:2014:i:1:d:10.1007_s10588-013-9159-9
    DOI: 10.1007/s10588-013-9159-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-013-9159-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10588-013-9159-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Alfred A. Marcus, 1988. "Responses to externally induced innovation: Their effects on organizational performance," Strategic Management Journal, Wiley Blackwell, vol. 9(4), pages 387-402, July.
    3. Joel A. C. Baum & Tony Calabrese & Brian S. Silverman, 2000. "Don't go it alone: alliance network composition and startups' performance in Canadian biotechnology," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 267-294, March.
    4. Sebastiano A. Delre & Wander Jager & Marco A. Janssen, 2007. "Diffusion dynamics in small-world networks with heterogeneous consumers," Computational and Mathematical Organization Theory, Springer, vol. 13(2), pages 185-202, June.
    5. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Simon Rodan & Charles Galunic, 2004. "More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 25(6), pages 541-562, June.
    8. Eric D. Darr & Linda Argote & Dennis Epple, 1995. "The Acquisition, Transfer, and Depreciation of Knowledge in Service Organizations: Productivity in Franchises," Management Science, INFORMS, vol. 41(11), pages 1750-1762, November.
    9. Philip Anderson, 1999. "Perspective: Complexity Theory and Organization Science," Organization Science, INFORMS, vol. 10(3), pages 216-232, June.
    10. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(4), pages 229-242, March.
    11. Dirk Maienhofer & Thomas Finholt, 2002. "Finding Optimal Targets for Change Agents: A Computer Simulation of Innovation Diffusion," Computational and Mathematical Organization Theory, Springer, vol. 8(4), pages 259-280, December.
    12. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    13. Robert D. Dewar & Jane E. Dutton, 1986. "The Adoption of Radical and Incremental Innovations: An Empirical Analysis," Management Science, INFORMS, vol. 32(11), pages 1422-1433, November.
    14. Abhay Nath Mishra & Ritu Agarwal, 2010. "Technological Frames, Organizational Capabilities, and IT Use: An Empirical Investigation of Electronic Procurement," Information Systems Research, INFORMS, vol. 21(2), pages 249-270, June.
    15. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    16. Gerald C. Kane & Maryam Alavi, 2007. "Information Technology and Organizational Learning: An Investigation of Exploration and Exploitation Processes," Organization Science, INFORMS, vol. 18(5), pages 796-812, October.
    17. Paul Attewell, 1992. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, INFORMS, vol. 3(1), pages 1-19, February.
    18. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    19. Eric Abrahamson & Lori Rosenkopf, 1997. "Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation," Organization Science, INFORMS, vol. 8(3), pages 289-309, June.
    20. Magali Delmas & Michael W. Toffel, 2004. "Stakeholders and environmental management practices: an institutional framework," Business Strategy and the Environment, Wiley Blackwell, vol. 13(4), pages 209-222, July.
    21. Robert G. Fichman, 2004. "Real Options and IT Platform Adoption: Implications for Theory and Practice," Information Systems Research, INFORMS, vol. 15(2), pages 132-154, June.
    22. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    23. Janet Bercovitz & Maryann Feldman, 2008. "Academic Entrepreneurs: Organizational Change at the Individual Level," Organization Science, INFORMS, vol. 19(1), pages 69-89, February.
    24. M Günther & C Stummer & L M Wakolbinger & M Wildpaner, 2011. "An agent-based simulation approach for the new product diffusion of a novel biomass fuel," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 12-20, January.
    25. Geoffrey G. Bell, 2005. "Clusters, networks, and firm innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 26(3), pages 287-295, March.
    26. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    27. Stephen J. DeCanio & Catherine Dibble & Keyvan Amir-Atefi, 2000. "The Importance of Organizational Structure for the Adoption of Innovations," Management Science, INFORMS, vol. 46(10), pages 1285-1299, October.
    28. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    29. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    30. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    31. Thomas H. Naylor & J. M. Finger, 1967. "Verification of Computer Simulation Models," Management Science, INFORMS, vol. 14(2), pages 92-101, October.
    32. Jasjit Singh, 2005. "Collaborative Networks as Determinants of Knowledge Diffusion Patterns," Management Science, INFORMS, vol. 51(5), pages 756-770, May.
    33. Richard L. Van Horn, 1971. "Validation of Simulation Results," Management Science, INFORMS, vol. 17(5), pages 247-258, January.
    34. Aija Leiponen & Constance E. Helfat, 2010. "Innovation objectives, knowledge sources, and the benefits of breadth," Strategic Management Journal, Wiley Blackwell, vol. 31(2), pages 224-236, February.
    35. Corey C. Phelps, 2010. "A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation," Post-Print hal-00528392, HAL.
    36. Lori Rosenkopf & Eric Abrahamson, 1999. "Modeling Reputational and Informational Influences in Threshold Models of Bandwagon Innovation Diffusion," Computational and Mathematical Organization Theory, Springer, vol. 5(4), pages 361-384, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. D׳Souza, Derrick E. & Kulkarni, Shailesh S., 2015. "A framework and model for absorptive capacity in a dynamic multi-firm environment," International Journal of Production Economics, Elsevier, vol. 167(C), pages 50-62.
    2. Raúl M. Ortiz-Gaona & Marcos Postigo-Boix & José L. Melús-Moreno, 2021. "Extent prediction of the information and influence propagation in online social networks," Computational and Mathematical Organization Theory, Springer, vol. 27(2), pages 195-230, June.
    3. Dustin L. Arendt & Leslie M. Blaha, 2015. "Opinions, influence, and zealotry: a computational study on stubbornness," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 184-209, June.
    4. Gregory Vial, 2023. "A Complex Adaptive Systems Perspective of Software Reuse in the Digital Age: An Agenda for IS Research," Information Systems Research, INFORMS, vol. 34(4), pages 1728-1743, December.
    5. Hayes, Samantha & Desha, Cheryl & Baumeister, Dayna, 2020. "Learning from nature – Biomimicry innovation to support infrastructure sustainability and resilience," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Jeroen van der Heijden, 2020. "Understanding voluntary program performance: Introducing the diffusion network perspective," Regulation & Governance, John Wiley & Sons, vol. 14(1), pages 44-62, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    2. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    3. Kathryn L. Heinze & Justin E. Heinze, 2020. "Individual innovation adoption and the role of organizational culture," Review of Managerial Science, Springer, vol. 14(3), pages 561-586, June.
    4. Jeannette A. Colyvas & Spiro Maroulis, 2015. "Moving from an Exception to a Rule: Analyzing Mechanisms in Emergence-Based Institutionalization," Organization Science, INFORMS, vol. 26(2), pages 601-621, April.
    5. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    6. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    7. Lee, Cheng-Yu & Wang, Ming-Chao & Huang, Yen-Chih, 2015. "The double-edged sword of technological diversity in R&D alliances: Network position and learning speed as moderators," European Management Journal, Elsevier, vol. 33(6), pages 450-461.
    8. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    9. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits : survey in connection with the research project "Finnish payment habits 2010"," Research Discussion Papers 32/2006, Bank of Finland.
    10. Galang, Roberto Martin N., 2014. "Divergent diffusion: Understanding the interaction between institutions, firms, networks and knowledge in the international adoption of technology," Journal of World Business, Elsevier, vol. 49(4), pages 512-521.
    11. Gartner, Johannes & Fink, Matthias & Maresch, Daniela, 2022. "The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    12. Hossain Md. Motaher & Zahidul Islam K. M. & Masud Abdullah Al & Biswas Sukanta & Hossain Md. Alamgir, 2021. "Behavioral intention and continued adoption of Facebook: An exploratory study of graduate students in Bangladesh during the Covid-19 pandemic," Management, Sciendo, vol. 25(2), pages 153-186, December.
    13. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    14. Cansu TÜRKER & Abdullah OKUMUŞ, 2019. "Mobil Ödeme Kullanımına Yönelik Niyet ve Algıların SosyoDemografik Özelliklere Göre Farklılıklarının İncelenmesi," Istanbul Management Journal, Istanbul University Business School, vol. 0(87), pages 111-139, December.
    15. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits: survey in connection with the research project "Finnish payment habits 2010"," Bank of Finland Research Discussion Papers 32/2006, Bank of Finland.
    16. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    17. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    18. Chaouali, Walid & Ben Yahia, Imene & Souiden, Nizar, 2016. "The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 209-218.
    19. Held, Fabian P. & Wilkinson, Ian F. & Marks, Robert E. & Young, Louise, 2014. "Agent-based Modelling, a new kind of research," Australasian marketing journal, Elsevier, vol. 22(1), pages 4-14.
    20. Yu-Ping Lee & Hsin-Yeh Tsai & Athapol Ruangkanjanases, 2020. "The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality," IJERPH, MDPI, vol. 17(21), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:comaot:v:20:y:2014:i:1:d:10.1007_s10588-013-9159-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.