Decision-making biases and affective states: Their potential impact on best practice innovations
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Date
2010-09-20Author
smith, faye l.
Stone, Thomas H.
Kisamore, Jennifer L.
Jawahar, I.M.
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Show full item recordAbstract
Rogers’s (2003) stages of innovation adoption and diffusion (knowledge of innovation, persuasion, decision, implementation, and confirmation) are used as a framework for understanding the decision-making biases and heuristics (i.e., anchoring, framing, confirmatory and availability biases, overconfidence, and representativeness) embedded in an organization’s adoption and implementation of best practices. Also, the role of affect on the diffusion of innovations is examined using the Affect Infusion Model (Forgas, 1995). Propositions are stated specifying effects of decision heuristics and affect on each stage of the diffusion of innovations.
Citation
smith, f.l. [sic], Stone, T.H., Kisamore, J.L. & Jawahar, I.M. (2010). Decision-making biases and affective states: Their potential impact on best practice innovations. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, 27(4), 277-291. https://doi.org/10.1002/cjas.132