Information search, attention distribution and biased performance evaluations: Evidence from students and executive managers

Matthias Sohn, Bernhard Hirsch, Michael Schulte-Mecklenbeck
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引用次数: 1

Abstract

Prior research has found that managers rely more on common measures than on unique measures when evaluating multiple subordinate managers’ performance. We examine the effects of the exhaustiveness of information search and attention distribution across performance measures on this ‘common measure bias’. Using a mouse cursor-tracking experiment, we observe that superior managers’ pre-decisional information search processes are largely unrelated to their performance evaluation judgments. Instead, our data suggest that even when superiors devote equal attention to common and unique measures, they put greater weight on common measures in subjective ratings. We also find that a more exhaustive information search leads to more lenient performance evaluations. These results hold for a student and an executive manager sample. Our results suggest that the common measure bias is not the result of a biased or limited information search but of explicitly putting more weight on common measures.
信息搜索、注意力分配和有偏见的绩效评估:来自学生和执行经理的证据
先前的研究发现,在评估多个下属管理者的绩效时,管理者更多地依赖于通用的衡量标准,而不是独特的衡量标准。我们研究了信息搜索的穷尽性和跨绩效测量的注意力分布对这种“共同测量偏差”的影响。通过鼠标光标跟踪实验,我们发现高层管理者的决策前信息搜索过程与绩效评价判断基本无关。相反,我们的数据表明,即使上级对常见指标和独特指标给予同等的关注,他们也会在主观评分中更重视常见指标。我们还发现,更详尽的信息搜索会导致更宽松的绩效评估。这些结果适用于学生和行政经理的样本。我们的结果表明,共同测量偏差不是有偏见或有限的信息搜索的结果,而是明确地把更多的权重放在共同测量上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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