Interpreting Innovation Dynamics with Complexity Theory
Yuanyuan Zhao ()
Additional contact information
Yuanyuan Zhao: Center for Technology Innovation and Management, Leiden Institute of Advanced Computer Science, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands
International Journal of Innovation and Technology Management (IJITM), 2014, vol. 11, issue 05, 1-18
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.
Keywords: Innovation; complexity theory; technological change (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219877014500357
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitmx:v:11:y:2014:i:05:n:s0219877014500357
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219877014500357
Access Statistics for this article
International Journal of Innovation and Technology Management (IJITM) is currently edited by H K Tang
More articles in International Journal of Innovation and Technology Management (IJITM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().