网络组合多样性与社会创新:以自我为中心的跨部门合作方法

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Jiawei Sophia Fu
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引用次数: 0

摘要

网络与组织研究的结晶表明,多样化的网络联系有助于创新。本研究扩展了这一研究思路,探讨了网络组合多样性的三个不同维度--持续时间、纽带强度和合作类型--与组织创新的关系。关于 258 家美国社会企业的调查、自我网络和专家评估数据表明,这些不同的维度对组织为解决社会问题而开发的新想法(即社会创新)具有不同的影响。具体而言,与非营利合作伙伴关系持续时间的多样性与社会创新之间呈倒 "U "型曲线关系,而与商业合作伙伴合作类型的多样性以及与政府合作伙伴联系强度的多样性则呈 "U "型曲线关系。这些结果突出表明,网络多样性与组织创新之间的关系取决于网络组合维度以及合作伙伴部门。这项研究有助于社会和组织间网络、跨部门伙伴关系和社会创新的理论研究。研究结果还对组织领导者配置异质自我网络组合以促进社会影响创新具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network portfolio diversity and social innovation: An egocentric approach to cross-sector partnerships

The culmination of network and organization research suggests diverse network ties bolster innovation. Extending this line of research, this study examines how three distinct dimensions of network portfolio diversity—duration, tie strength, and collaboration type—are related to organizational innovation. Survey, ego network, and expert evaluation data on 258 U.S. social ventures suggest that these different dimensions have differential impact on the novelty of ideas organizations develop to tackle social issues (i.e., social innovation). Specifically, while diversity in relationship duration with nonprofit partners had an inverted U-shaped curvilinear relationship with social innovation, diversity in collaboration type with business partners and diversity in tie strength with government partners each had a U-shaped curvilinear relationship. These results highlight that the relationship between network diversity and organizational innovation is contingent on the network portfolio dimension, as well as the partner sector. This research contributes to theorizing on social and interorganizational networks, cross-sector partnerships, and social innovation. Findings also have implications for organizational leaders as they configure heterogeneous ego network portfolios to boost innovation for social impact.

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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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