集合(抽象数据类型)
过程(计算)
工作(物理)
公共关系
政治学
业务
心理学
计算机科学
物理
热力学
操作系统
程序设计语言
作者
Victoria Zhang,Marissa King
出处
期刊:Organization Science
[Institute for Operations Research and the Management Sciences]
日期:2021-01-20
卷期号:32 (5): 1149-1173
被引量:13
标识
DOI:10.1287/orsc.2020.1412
摘要
Although a substantial body of work has investigated drivers of tie formation, there is growing interest in understanding why relationships decay or dissolve altogether. The networks literature has tended to conceptualize tie decay as driven by processes similar to those underlying tie formation. Yet information that is revealed through ongoing interactions can exert different effects on tie formation and tie decay. This paper investigates how tie decay and tie formation processes differ by focusing on contentious practices. To the extent that information about dissimilarities in contentious practices is learned through ongoing interactions, it can exert diverging effects on tie formation and tie decay. Using a longitudinal data set of 141,543 physician dyads, we find that differences in contentious prescribing led ties to weaken or dissolve altogether but did not affect tie formation. The more contentious the practice and the more information available about the practice, the stronger the effect on tie decay and dissolution. Collectively, these findings contribute to a more nuanced understanding of relationship evolution as an unfolding process through which deeper-level differences are revealed and shape the outcome of the tie.
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