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

Ning Nan (), Robert Zmud () and Emre Yetgin ()
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Ning Nan: The University of British Columbia
Robert Zmud: University of Oklahoma
Emre Yetgin: University of Oklahoma

Computational and Mathematical Organization Theory, 2014, vol. 20, issue 1, No 4, 52-88

Abstract: 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.

Keywords: Diffusion of innovation; Complex adaptive systems; Agent-based model; Simulation (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10588-013-9159-9

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