Collaborative production networks among unequal actors

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2020-07-03 DOI:10.1017/nws.2020.23
Manuel Muñoz-Herrera, J. Dijkstra, A. Flache, R. Wittek
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引用次数: 1

Abstract

Abstract We develop a model of strategic network formation of collaborations to analyze the consequences of an understudied but consequential form of heterogeneity: differences between actors in the form of their production functions. We also address how this interacts with resource heterogeneity, as a way to measure the impact actors have as potential partners on a collaborative project. Some actors (e.g., start-up firms) may exhibit increasing returns to their investment into collaboration projects, while others (e.g., established firms) may face decreasing returns. Our model provides insights into how actor heterogeneity can help explain well-observed collaboration patterns. We show that if there is a direct relation between increasing returns and resources, start-ups exclude mature firms and networks become segregated by types of production function, portraying dominant group architectures. On the other hand, if there is an inverse relation between increasing returns and resources, networks portray core-periphery architectures, where the mature firms form a core and start-ups with low-resources link to them.
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不平等行为者之间的协作生产网络
摘要我们开发了一个合作的战略网络形成模型,以分析一种研究不足但后果严重的异质性形式的后果:行动者之间在生产职能形式上的差异。我们还讨论了这与资源异质性的相互作用,以此来衡量参与者作为合作项目的潜在合作伙伴所产生的影响。一些参与者(如初创公司)对合作项目的投资回报可能会增加,而其他参与者(如老牌公司)的回报可能会减少。我们的模型提供了参与者异质性如何帮助解释观察良好的协作模式的见解。我们发现,如果增加的回报和资源之间存在直接关系,初创企业将成熟企业排除在外,网络将按生产职能类型划分,从而描绘出主导的集团架构。另一方面,如果增加的回报和资源之间存在反比关系,那么网络描绘了核心-外围架构,成熟的公司形成核心,低资源的初创企业与之相连。
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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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