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SELF-ENHANCEMENT AND LEARNING FROM PERFORMANCE FEEDBACK

delete2012-04-01
delete227
PRE
AI
A
Alexander Jordan *
P
Pino G. Audia
DOI:10.5465/amr.2010.0108delete
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Abstract

Abstract

En 中文
The theory of performance feedback views decision makers as problem solvers seeking to improve performance. By specifying how and when decision makers may instead seek to enhance their self-image by assessing performance as satisfactory, the model presented in this article specifies boundaries on performance feedback theory's critical prediction that low performance induces increased search, change, and risk taking, and it suggests one reason why decision makers sometimes fail to learn from their mistakes.
Keywords:
COUNTERFACTUAL THINKING
STRATEGIC PERSISTENCE
TASK COMPLEXITY
RISK-TAKING
ACCOUNTABILITY
POWER
MOTIVATION
BEHAVIOR
COMMITMENT
SUCCESS
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Academy of Management Review cover
Academy of Management Review
IF:
13.9
Papers:
1.2K
Citations:
4.2W

Organization

D
Dartmouth College
Scholars:
1.5W
Papers: 1.4W
Citations: 1.8W