Business transactions and ownership ties between firms

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY

Network Science Pub Date : 2023-10-16 DOI:10.1017/nws.2023.19

László Lőrincz, Sándor Juhász, Rebeka O. Szabó

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引用次数: 0

Abstract

Abstract In this study, we investigate the creation and persistence of interfirm ties in a large-scale business transaction network. Business transaction relations (firms buying or selling products or services to each other) are driven by economic motives, but because trust is essential to business relationships, the social connections of owners or the geographical proximity of firms can also influence their development. However, studying the formation of interfirm business transaction ties on a large scale is rare, because of the significant data demand. The business transaction and the ownership networks of Hungarian firms are constructed from two administrative datasets for 2016 and 2017. We show that direct or indirect connections in this two-layered network, including open triads in the business network, contribute to both the creation and persistence of business transaction ties. For our estimations, we utilize log-linear models and emphasize their efficiency in predicting links in such large networks. We contribute to the literature by presenting different patterns of business connections in a nationwide multilayer interfirm network.

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企业之间的商业交易和所有权关系

摘要本研究探讨了大型商业交易网络中企业间联系的产生和持续。商业交易关系(公司相互购买或出售产品或服务)是由经济动机驱动的，但由于信任对商业关系至关重要，因此所有者的社会关系或公司的地理邻近性也会影响其发展。然而，由于数据需求巨大，对企业间商业交易关系形成的大规模研究很少。匈牙利公司的商业交易和所有权网络是根据2016年和2017年的两个管理数据集构建的。我们展示了这个两层网络中的直接或间接连接，包括业务网络中的开放三元组，有助于业务事务关系的创建和持久。对于我们的估计，我们利用对数线性模型，并强调它们在预测这种大型网络中的链路方面的效率。我们通过在一个全国性的多层公司间网络中呈现不同的商业联系模式来贡献文献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

3.50

自引率

5.90%

发文量

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.