Suppr超能文献

对具有不确定后果的决策的反应:依赖感知到的公平性与预测结果取决于知识。

Reactions to decisions with uncertain consequences: reliance on perceived fairness versus predicted outcomes depends on knowledge.

作者信息

See Kelly E

机构信息

Stern School of Business, New York University, New York, NY 10012, USA.

出版信息

J Pers Soc Psychol. 2009 Jan;96(1):104-18. doi: 10.1037/a0013266.

Abstract

Many decisions made by authorities pose uncertain consequences for the individuals affected by them, yet people must determine the extent to which they will support the change. Integrating the social justice and behavioral decision theory literatures, the article argues that individuals determine their support for proposed initiatives by assessing how knowledgeable they feel and using 2 main sources of information more or less heavily: their prediction of how the outcome of the initiative is likely to affect them or the perceived fairness of the decision maker. Three studies (2 experiments, 1 longitudinal field survey) assessing support for proposed public policies reveal that when individuals feel very knowledgeable they rely more on their prediction of how the outcome will affect them, whereas when they feel less knowledgeable they rely more on an overall impression of procedural fairness. The theoretical account and findings shed interdisciplinary insights into how people use process and outcome cues in reacting to decisions under uncertainty and ambiguity.

摘要

当局做出的许多决策会给受其影响的个人带来不确定的后果,但人们必须确定他们支持这些变革的程度。综合社会正义和行为决策理论文献,本文认为,个人通过评估自己的知识水平,并或多或少地严重依赖两种主要信息来源来确定他们对提议举措的支持程度:他们对该举措结果可能如何影响自己的预测,或对决策者的感知公平性。三项评估对提议公共政策支持度的研究(两项实验,一项纵向实地调查)表明,当个人感觉自己知识渊博时,他们更多地依赖对结果将如何影响自己的预测,而当他们感觉知识较少时,他们更多地依赖对程序公平性的总体印象。该理论阐述和研究结果为人们在面对不确定性和模糊性决策时如何利用过程和结果线索做出反应提供了跨学科的见解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验