۱- Introduction

۲- Literature review

۳- Hypotheses and conceptual models

۴- Methods

۵- Results

۶- Discussion

۷- Conclusions

References

Abstract

The aim of the present study was to evaluate how the business-to-business (B2B) networks in the Japanese textile and apparel industry changed between 2005 and 2010 using data on 200 companies. Network analysis was used to study the properties of the B2B networks, and how their structures changed was characterized using the USD/JPY exchange rate. The network analysis revealed power-law properties of the B2B networks, and the core networks characterized by the largest degree centrality exhibited positive correlations with the USD/JPY exchange rate. By contrast, the peripheral networks characterized by the network path length exhibited the negative correlations with the exchange rate USD/JPY. Therefore, the changes that occurred in the B2B networks are explained as the complementarity of comparative advantages originating in the USD/JPY exchange rate. Moreover, the USD/JPY exchange rate afected the B2B networks through not only the complementarity of importing and exporting but also by changing the structures.

Introduction

Generally, there have been trade frictions between Chinese-U.S. industries involved in information communication technology (ICT) (CNN 2019), and those trade frictions seem to have infuenced those various industries. Te adaptations to these economic fuctuations are necessary for the industries and the comprised companies in various regions. It is important to understand the state and its changing of the industries infuenced by macroeconomy for these necessaries of the companies. However, these phenomena are difcult to analyze because the required datasets cannot be obtained synchronously and spatiotemporally. We require typical cases of trade frictions in order to understand the industries with the companies. Our aim in the present study was to demonstrate the changing of the business-to-business (B2B) networks as the industries caused by the exchange rate as the economic fuctuations. To do this, the present study used datasets on the Japanese textile and apparel industry to show the statistical properties of the B2B networks and the changing relationships with the USD/JPY exchange rate. Te method of complex systems was applied to the datasets of the B2B networks. As a result, the analyses revealed an adaptation in the economic changes that took place in the B2B networks. Te present study contributed considerations to a method of how the industries with companies should behave with the global economy as complex systems.