Why less is more: exploring affect-based value neglect
R.S. Wilson and
J.L. Arvai
Journal of Risk Research, 2010, vol. 13, issue 4, 399-409
Abstract:
Previous research indicates that the affective nature of the problem context can override gains in the evaluability of risk attributes brought on by side-by-side comparisons of two problems. Specifically, in a joint evaluation, an affect-rich problem will be given greater management preference than an affect-neutral problem even when the risk is significantly greater for the neutral problem. A series of new experiments were conducted to explore the relevance of this concept (i.e., affect-based value neglect) for the evaluation of two affect-rich problems. Consistent with previous research, the results indicated no preference for either problem evaluated in isolation, given that both the affective impression and the level of risk were hard to evaluate. Again, consistent with previous research, there was no preference for either problem in a joint evaluation when the difference in risk between the two problems was small (one problem posing 1.5-times greater risk than the other). However, when the risk difference was large -- 3-times greater -- preference was given to managing the higher-risk problem. Additional evidence indicates that joint evaluations may increase the significance of probabilities as a form of risk communication, and that increased availability of one problem may dominate both initial affective impressions and the presentation of risk attributes.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1080/13669870902983171 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jriskr:v:13:y:2010:i:4:p:399-409
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJRR20
DOI: 10.1080/13669870902983171
Access Statistics for this article
Journal of Risk Research is currently edited by Bryan MacGregor
More articles in Journal of Risk Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().