A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory
Authored by Ning Nan, Robert Zmud, Emre Yetgin
Date Published: 2014-03
DOI: 10.1007/s10588-013-9159-9
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Platforms:
NetLogo
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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.
Tags
Agent-based model
Simulation
Complex adaptive systems
Diffusion of innovation