英文标题：
《Network analysis of Japanese global business using quasi-exhaustive
  micro-data for Japanese overseas subsidiaries》
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作者：
Jean-Pascal Bassino, Pablo Jensen and Matteo Morini
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最新提交年份：
2017
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英文摘要：
  Network analysis techniques remain rarely used for understanding international management strategies. Our paper highlights their value as research tool in this field of social science using a large set of micro-data (20,000) to investigate the presence of networks of subsidiaries overseas. The research question is the following: to what extent did/do global Japanese business networks mirror organizational models existing in Japan? In particular, we would like to assess how much the links building such business networks are shaped by the structure of big-size industrial conglomerates of firms headquartered in Japan, also described as HK. The major part of the academic community in the fields of management and industrial organization considers that formal links can be identified among firms belonging to HK. Miwa and Ramseyer (Miwa and Ramseyer 2002; Ramseyer 2006) challenge this claim and argue that the evidence supporting the existence of HK is weak. So far, quantitative empirical investigation has been conducted exclusively using data for firms incorporated in Japan. Our study tests the Miwa-Ramseyer hypothesis (MRH) at the global level using information on the network of Japanese subsidiaries overseas. The results obtained lead us to reject the MRH for the global dataset, as well as for subsets restricted to the two main regions/countries of destination of Japanese foreign investment. The results are robust to the weighting of the links, with different specifications, and are observed in most industrial sectors. The global Japanese network became increasingly complex during the late 20th century as a consequence of increase in the number of Japanese subsidiaries overseas but the key features of the structure remained rather stable. We draw implications of these findings for academic research in international business and for professionals involved in corporate strategy.
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中文摘要：
网络分析技术仍然很少用于理解国际管理战略。我们的论文利用大量微观数据（20000）来调查海外子公司网络的存在，强调了它们作为社会科学领域研究工具的价值。研究问题如下：全球日本商业网络在多大程度上反映了日本现有的组织模式？特别是，我们想评估建立此类商业网络的链接在多大程度上是由总部位于日本（也称为香港）的大型工业企业集团的结构所决定的。管理和产业组织领域的学术界主要人士认为，香港公司之间可以找到正式的联系。Miwa和Ramseyer（Miwa和Ramseyer 2002；Ramseyer 2006）对这一说法提出质疑，并认为支持香港存在的证据不足。迄今为止，仅使用在日本注册的公司的数据进行了定量实证调查。我们的研究利用日本海外子公司网络上的信息，在全球层面上检验了Miwa-Ramseyer假说（MRH）。获得的结果导致我们拒绝全球数据集的MRH，以及仅限于日本外国投资目的地的两个主要地区/国家的子集。结果对不同规格的链接权重具有稳健性，并且在大多数工业部门都可以观察到。20世纪末，由于日本海外子公司数量的增加，全球日本网络变得越来越复杂，但结构的关键特征仍然相当稳定。我们得出这些发现对国际商业学术研究和参与企业战略的专业人员的启示。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类：Computer Science        计算机科学
二级分类：Social and Information Networks        社会和信息网络
分类描述：Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.
涵盖社会和信息网络的设计、分析和建模，包括它们在联机信息访问、通信和交互方面的应用，以及它们作为数据集在这些领域和其他领域的问题探索中的作用，包括与社会和生物科学的联系。这类网络的分析和建模包括ACM学科类F.2、G.2、G.3、H.2和I.2的主题；计算应用包括H.3、H.4和H.5中的主题；计算和其他学科接口的应用程序包括J.1-J.7中的主题。关于计算机通信系统和网络协议（例如TCP/IP）的论文通常更适合网络和因特网体系结构（CS.NI）类别。
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