{"title":"Are All Spillovers Created Equal? A Network Perspective on IT Labor Movements","authors":"Lynn Wu, Fujie Jin, L. Hitt","doi":"10.2139/ssrn.2528762","DOIUrl":null,"url":null,"abstract":"This study examines how characteristics of a firm’s labor-flow network affect firm productivity. Using employee job histories, we construct inter-firm labor-flow networks for both IT-labor and non-IT labor and analyze how a firm’s network structure for the two types of labor affects firm performance. We find that hiring IT workers from a structurally-diverse network of firms can substantially improve firm productivity, which is likely due to the novel and non-redundant information provided in such networks. Interestingly, we find the opposite effects for hiring non-IT labor, which is likely due to a structurally- cohesive network enabling frequent and repeated exposure to a common knowledge base that is beneficial for implementing complementary organizational practices especially when they are often complex and tacit. Together, these results demonstrate the importance of incorporating a network perspective in understanding the full impact of spillover effects from organizational hiring activities.","PeriodicalId":80976,"journal":{"name":"Comparative labor law journal : a publication of the U.S. National Branch of the International Society for Labor Law and Social Security [and] the Wharton School, and the Law School of the University of Pennsylvania","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative labor law journal : a publication of the U.S. National Branch of the International Society for Labor Law and Social Security [and] the Wharton School, and the Law School of the University of Pennsylvania","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2528762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

This study examines how characteristics of a firm’s labor-flow network affect firm productivity. Using employee job histories, we construct inter-firm labor-flow networks for both IT-labor and non-IT labor and analyze how a firm’s network structure for the two types of labor affects firm performance. We find that hiring IT workers from a structurally-diverse network of firms can substantially improve firm productivity, which is likely due to the novel and non-redundant information provided in such networks. Interestingly, we find the opposite effects for hiring non-IT labor, which is likely due to a structurally- cohesive network enabling frequent and repeated exposure to a common knowledge base that is beneficial for implementing complementary organizational practices especially when they are often complex and tacit. Together, these results demonstrate the importance of incorporating a network perspective in understanding the full impact of spillover effects from organizational hiring activities.
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所有溢出效应都是平等的吗?IT工人运动的网络视角
本研究考察了企业劳动力流动网络的特征如何影响企业生产率。利用员工的工作历史,我们构建了it劳动力和非it劳动力的企业间劳动力流动网络,并分析了两种类型劳动力的企业网络结构如何影响企业绩效。我们发现,从结构多样化的企业网络中雇佣IT工人可以大大提高企业的生产率,这可能是由于这种网络中提供了新颖和非冗余的信息。有趣的是,我们发现雇佣非it劳动力会产生相反的效果,这可能是由于一个结构上有凝聚力的网络,使得频繁和重复地暴露于公共知识库,这有利于实现互补的组织实践,特别是当它们通常是复杂和隐性的时候。总之,这些结果表明,在理解组织招聘活动的溢出效应的全面影响时,纳入网络视角的重要性。
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