A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory |
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Authors: | Ning Nan Robert Zmud Emre Yetgin |
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Affiliation: | 1. Management Information Systems, Sauder School of Business, The University of British Columbia, Vancouver, BC, V6T 1Z2, Canada 2. Management Information Systems, Price College of Business, University of Oklahoma, 307 West Brooks, Norman, OK, 73019, USA
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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. |
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