嵌入性
监督人
情感(语言学)
工作嵌入性
职位(财务)
业务
绩效管理
知识管理
计算机科学
营销
心理学
管理
社会心理学
经济
社会学
沟通
人类学
财务
作者
Mariia Petryk,Michael Rivera,Siddharth Bhattacharya,Liangfei Qiu,Subodha Kumar
出处
期刊:Information Systems Research
[Institute for Operations Research and the Management Sciences]
日期:2022-12-01
卷期号:33 (4): 1467-1489
被引量:18
标识
DOI:10.1287/isre.2022.1110
摘要
Firms and organizations are increasingly using real-time performance feedback mechanisms to evaluate employees, where any employee (rather than just the supervisor) can rate other employees. Hence, a need arises to better understand how network positions of employees in such a system impact their performance. Analyzing nearly 4,000 feedback instances from employees at five major organizations that utilize such a real-time performance feedback application called DevelapMe, we explore the effects of network embeddedness—or the nature of relationships among employees—on performance rating scores according to two dimensions of embeddedness: (i) positional, the position of an individual in the emerging network of performance ratings, and (ii) structural, the extent to which a person is entrenched in a network of relationships. We visualize rating networks within organizations: Employees are nodes, and connections between nodes exist if an evaluation between the pair occurs. We find that specific aspects of network embeddedness affect performance rating scores differently. Our findings have important implications for the design of performance management systems using network analysis.
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