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Interpreting Innovation Dynamics with Complexity Theory

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  • Yuanyuan Zhao

    (Center for Technology Innovation and Management, Leiden Institute of Advanced Computer Science, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands)

Abstract

Capturing and understanding innovation dynamics is a continuous challenge due to the difficulty of collecting process data and because it often involves multiple levels and units of analysis. Interest has been increasingly focused on applying complexity theory in explaining temporal and nonlinear characteristics of innovation because of its systematic paradigm for examining change in complex systems. Until recently, however, there is relatively little empirical support. This paper fulfills this objective by examining longitudinal data of Nylon innovation. Results reveal an attractor-shifting pattern accompanied by four adaptive cycles in the Nylon innovation process.

Suggested Citation

  • Yuanyuan Zhao, 2014. "Interpreting Innovation Dynamics with Complexity Theory," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 1-18.
    • Handle: RePEc:wsi:ijitmx:v:11:y:2014:i:05:n:s0219877014500357
    DOI: 10.1142/S0219877014500357
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    References listed on IDEAS

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    1. Poole, Marshall Scott & Van de Ven, Andrew H. & Dooley, Kevin & Holmes, Michael E., 2000. "Organizational Change and Innovation Processes: Theory and Methods for Research," OUP Catalogue, Oxford University Press, number 9780195131987.
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    Cited by:

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    2. Devereux, Luke & Melewar, T.C. & Dinnie, Keith & Lange, Thomas, 2020. "Corporate identity orientation and disorientation: A complexity theory perspective," Journal of Business Research, Elsevier, vol. 109(C), pages 413-424.

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