Decision-making biases and affective states: Their potential impact on best practice innovations
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smith, faye l.
Stone, Thomas H.
Kisamore, Jennifer L.
Jawahar, I.M.
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Abstract
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.
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This is the peer reviewed version of the following article:
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.
which has been published in final form at https://doi.org/10.1002/cjas.132. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation.
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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