Network Interactions of Global Supply Chain Members

Abstract

Supply chain structure of global enterprises tend to develop dramatically. These lead to more difficulty for enterprises in managing and building information sharing systems. Thus, it is a necessary for enterprises to limit the scope of the information sharing system by selecting essential partners. The aims of this study are to quantify the cooperation of each supply chain member, and evaluate and visualize their effects in information sharing systems in order to support policymakers in making their decisions in supply chain management. The network analytical method in network science is applied to indicate the relationship between supply chain members and present a comprehensive supply chain visually. Moreover, Motor Corporation’s topology in Japan is used as a representation of global enterprise features to analyze the relationships between supply chain members. The data for Motor Corporation is secondary data which includes the number of suppliers, manufacturers, and dealers, and the interaction among them. Data is collected and verified from reputable websites such as www.marklines.com, or www.statista.com. As a result, this study contributes by applying a new method for not only determining the impact levels of supply chain members but also giving visual descriptions of impact levels on the large-scale information sharing system.

The effects of technological leapfrogging in transportation technologies in BRICS and G7 countries

“…Former studies likewise used databases on energy consumption (Greene et al , 2017; Khan et al , 2022; Le et al , 2021), economic development (González-Blanco et al , 2019; Kergroach et al , 2018; Pitelis et al , 2019; Rigo, 2021; Wang and Wei, 2020) and reduction of greenhouse gas emissions (González-Blanco et al , 2019; Greene et al , 2017; Khan et al , 2022; Le et al , 2021; Rigo, 2021). Because no preceding studies aggregated data to allow technological, economic, sustainability and market views, Table 1 exhibits gathered data for a broader scope analysis.…”

Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review

“…This unforeseen event and its repercussions on supply networks at a global level heightened the need for tools that can provide a precise visualization of networks, actors, and the nature of the ties between them [9,13]. Concepts derived from diverse fields of knowledge, such as SNA, have gained traction in terms of application in the area of SCM [10,17,[19][20][21][22][23]. Furthermore, new developments have emerged from the application of SNA in SCM, including directed and non-directed networks [24] and the concept of semi-directedness [25].…”

“…This not only addresses structural aspects but also associates SNA with various topics, as explored by Wichmann and Kaufmann [13], indicating that the use of SNA in SCM goes beyond being just an analytical tool. Most of the studies reviewed applied SNA in the context of manufacturing, especially in the automotive sector [10,17,[20][21][22]42].…”

“…Therefore, according to [20], supply chain managers must map their suppliers and consider network configuration. Regarding network configuration, Le, Oláh, and Pakurár [21] analyze a supply chain composed of 60 assemblers and 210 suppliers and point out that only a few manufacturers predominantly control the exchange of information. For this reason, Seiler, Papanagnou, and Scarf [22] emphasize the importance of companies prioritizing cooperation over competition because cooperation will contribute to improving performance, which will also be influenced by node centrality [42].…”

“…[1] noted the need to develop new metrics or indicators within the context of SNA. However, the vast majority of studies reported in the literature focus essentially on the centrality metrics already mentioned: degree centrality, closeness centrality, and betweenness centrality [12,17,21,24,32,45]. However, Ref.…”