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我们知道谁喜欢我们,但不知道谁与我们竞争。

We Know Who Likes Us, but Not Who Competes Against Us.

机构信息

1 Department of Organizational Behavior, University of North Carolina at Chapel Hill.

2 Department of Organizational Behavior, Washington University in St. Louis.

出版信息

Psychol Sci. 2017 Feb;28(2):233-241. doi: 10.1177/0956797616679440. Epub 2017 Jan 12.

DOI:10.1177/0956797616679440
PMID:28080315
Abstract

Research on dyadic meta-accuracy suggests that people can accurately judge how their acquaintances feel toward them. However, existing studies have focused exclusively on positive feelings, such as liking. We present the first research on dyadic meta-accuracy for competition, a common dynamic among work colleagues. Data from the sales staff at a car dealership and students working on project teams suggest that the prevailing model of dyadic meta-accuracy breaks down for judgments of competition. For liking, projecting one's own feelings promotes dyadic meta-accuracy because colleagues tend to reciprocate each other's liking. For competition, the tendency to compete against superior performers reduces reciprocity and renders self-projection ineffective. You can accurately estimate how much your colleagues like you, but are unlikely to know how much those same colleagues compete against you.

摘要

对对偶元准确性的研究表明,人们可以准确地判断熟人对自己的感觉。然而,现有的研究仅关注积极的感受,例如喜欢。我们提出了第一个关于竞争的对偶元准确性的研究,竞争是同事之间常见的动态。来自汽车经销商的销售人员和参与项目团队的学生的数据表明,对偶元准确性的流行模型对于竞争的判断并不适用。对于喜欢,投射自己的感受会促进对偶元准确性,因为同事们往往会相互回应彼此的喜欢。对于竞争,与表现优秀的人竞争的倾向会减少互惠性,使自我投射无效。你可以准确地估计你的同事有多喜欢你,但不太可能知道同一个同事对你的竞争程度。

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