建议(编程)
质量(理念)
决策质量
集合(抽象数据类型)
期限(时间)
计算机科学
心理学
知识管理
团队效能
量子力学
认识论
物理
哲学
程序设计语言
作者
Philipp Ecken,Richard Pibernik
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2015-08-19
卷期号:62 (7): 2002-2021
被引量:24
标识
DOI:10.1287/mnsc.2015.2219
摘要
Managers and policy makers frequently face crucial strategic decisions that inevitably rely on judgments about relevant future events. These judgments are often characterized by very high uncertainty and the absence of experience from previous good or bad judgments. Judgments of other experts are oftentimes an important—sometimes the only—source of additional information to reduce uncertainty and improve judgment accuracy. However, in many practical situations, decision makers have very limited means to evaluate the quality of such “advice” from other experts and could tend to ignore this valid source of information. In this paper, we study what leads decision makers to take advice from an expert panel when judging the probability of far-future events with high economic impact. Our analysis is based on a unique data set that comprises more than 15,000 advice-taking decisions made by almost 1,000 experts from different industries. We find that decision makers have a strong tendency to ignore advice, which pronounces even further when conflicts in terms of beliefs, past experiences, or desires arise. This paper was accepted by Yuval Rottenstreich, judgment and decision making.
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