Networks of inclusion: Using teams and technology to create diverse social capital

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Sarah J. Gordon , Wayne E. Baker , Jose Uribe , Cassandra R. Chambers , Bruce A. Desmarais
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Abstract

This study of intraorganizational network dynamics develops a structural approach to the concept of inclusion in organizations. This approach is a complement to the definition of inclusion as a social-psychological response to experiences in a diverse social environment. We analyze networks of interaction over time in a large population of students and evaluate the extent to which two interventions—working in teams and using a social networking service (SNS)—grew and diversified their social capital. Using network data collected before and after 518 undergraduate students worked in 96 teams and participated in the SNS, we analyze the formation of new bridging social capital (ties between demographically dissimilar people) and new bonding social capital (ties between demographically similar people). Team membership had a large effect on social capital, creating positive bonding ties and bridging ties. But teams also created negative ties. The SNS facilitated tie formation but did not create negative ties. Together, the two interventions expanded networks and shifted the balance of ties in favor of bridging ties, producing a more structurally inclusive network. Our study demonstrates how intentional practices can be used to improve network inclusivity, as well as the value of viewing diversity and inclusion through the lens of intraorganizational network dynamics.
包容网络:利用团队和技术创造多样化的社会资本
组织内网络动力学的研究发展了一种结构方法来研究组织中的包容概念。这种方法是对包容性定义的补充,即对不同社会环境中经历的社会心理反应。我们分析了大量学生的长期互动网络,并评估了两种干预措施——团队合作和使用社交网络服务(SNS)——在多大程度上增长和多样化了他们的社会资本。我们利用518名大学生在96个团队中参与社交网络前后收集的网络数据,分析了新的桥接社会资本(人口统计学上不同的人之间的联系)和新的粘合社会资本(人口统计学上相似的人之间的联系)的形成。团队成员对社会资本有很大的影响,创造了积极的联系和桥梁关系。但团队也会产生负面关系。社交网络促进了关系的形成,但没有造成负面关系。这两项干预措施共同扩大了网络,改变了关系的平衡,有利于弥合关系,产生了一个结构上更具包容性的网络。我们的研究展示了如何利用有意识的实践来提高网络包容性,以及通过组织内部网络动态的视角来看待多样性和包容性的价值。
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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