How information and communication technology affects decision-making on innovation diffusion: An agent-based modelling approach
Authored by Carlos M Fernandez-Marquez, Francisco J Vazquez
Date Published: 2018
DOI: 10.1002/isaf.1430
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Repast
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Abstract
We introduce a computational agent-based model of innovation diffusion
that allows us to analyse the influence of information and communication
technology (ICT) development on decision-making. Model dynamics are
based on local emulation between pairs of individuals that generate an
evolving social network on which an innovation is virally spread (by
word of mouth). Results suggest that ICT development affects the data
usefulness for decision-making by changing the topology of the social
network (the means whereby the innovation is propagated). Paradoxically,
a higher level of ICT development (providing a larger volume of data)
narrows the differences between better and worse launch strategies, thus
reducing data-driven decision-making usefulness, which then shows
diminishing returns on the ICT level.
Tags
Agent-based model
Decision-Making
Innovation
diffusion
Ict development