Doing good for (maybe) nothing: How reward uncertainty shapes observer responses to prosocial behavior
Ike Silver and
Jackie Silverman
Organizational Behavior and Human Decision Processes, 2022, vol. 168, issue C
Abstract:
When firms or individuals stand to benefit from doing good, observers often question their motivations and discount their good deeds. We propose that this attribution process is sensitive not only to the presence of extrinsic incentives, but also to their prior likelihoods. Across eleven studies, observers treat uncertain rewards (vs. equally valuable certain rewards) as weaker signals of extrinsic motivation. Consequently, observers judge actors who do good when facing uncertain incentives as more purely motivated, benevolent, and likable, and they prefer products from brands that incur profit uncertainty when launching CSR initiatives. Even actors who are handsomely rewarded for doing good are judged favorably if rewards were uncertain at the outset. These effects may stem from more general processes of counterfactual attribution: Actors who do good knowing they might not be rewarded for it may seem more like they would have been willing to act without any incentive at all.
Keywords: Prosocial behavior; Attribution; Uncertainty; Tainted altruism (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0749597821001096
Full text for ScienceDirect subscribers only
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:eee:jobhdp:v:168:y:2022:i:c:s0749597821001096
DOI: 10.1016/j.obhdp.2021.104113
Access Statistics for this article
Organizational Behavior and Human Decision Processes is currently edited by John M. Schaubroeck
More articles in Organizational Behavior and Human Decision Processes from Elsevier
Bibliographic data for series maintained by Catherine Liu ().