Optimism and Bias When Evaluating a Prosocial Initiative

Bibliographic Data

ID10763497
AuthorsCurtis Child (0000-0001-9460-7249, Brigham Young University, corresponding author), Eva M Witesman (Brigham Young University), Eva Witesman (0000-0002-8885-4558, Brigham Young University)
Year2019
Volume100
Issue3
Pages666-677
Publication date2019-05-01
Open AccessYes
TypeARTICLE
VenueSocial Science Quarterly (JOURNAL)
Journal identifiersISSN: 0038-4941 • E-ISSN: 1540-6237
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ssqu.12585
OpenAlexW2914182051
LanguageEN
Citations received4
References cited35

Objective This study examines how people evaluate prosocial initiatives—in particular, whether they exhibit optimism bias when asked to consider the outcomes of a hypothetical initiative that is described to take place in the nonprofit, business, or government sector. It also assesses the conditions under which optimism bias is malleable. Methods We use a survey with an experimental component to compare subjects’ evaluations of a hypothetical initiative across a set of priming (positive prime, negative prime, no prime) and sector (nonprofit, government, business, social business) conditions. Results We find evidence that optimism bias is widespread, regardless of the sector in question. Subjects are only inclined to alter their assessments when provided with new information that is positive (in contrast to new information that is negative). Conclusion The findings offer qualified support for the blurring hypothesis, suggesting that sector may be losing its status as a defining characteristic of the organizational landscape

Government (linguistics) · Optimism · Optimism bias · Political science · Prime (order theory) · Priming (agriculture) · Prosocial behavior · Public relations · Set (abstract data type) · Experimental Behavioral Economics Studies · Nonprofit Sector and Volunteering · Optimism, Hope, and Well-being · Psychology · Social Psychology

Tools

Open DOISci-Hub