An Empirical Study of the Partnership Network Structure of Automakers under CASE

The purpose of this research is to analyse empirically the effect of the ongoing and radical change in the business environment in the automotive industry called CASE (Connected, Autonomous/Automated, Shared, Electric) on the network structure of the partnerships of automobile manufacturers. Traditionally, partnerships in the automotive industry have been dominated by dense network structures. On the other hand, according to previous studies in other industries, network structures suitable for radical innovation involve weak ties, structural holes, and betweenness centrality, etc. This study’s methodology used actual data on the partnerships of automobile manufacturers around the world which were analysed using a social network analysis method. The analysis results showed a significant correlation between the degree of approach to CASE and the number of weak ties and the size of structural holes. In addition, some case studies show significant differences in network structure between new technology venture companies and existing legacy technology companies. The discussion highlights the insight that the network structure of the automobile industry could change significantly in the future due to technological innovation. Future work should acknowledge that changes in the industry structure due to CASE are still in progress, and continuous research is needed. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</p

The Partnership Network Structure of Automakers under Radical Technological Change

Background: Traditionally, dense network structures have dominated partnerships in the automotive industry. On the other hand, previous research in other industries has shown that network structures suitable for radical innovation include weak ties, structural holes and betweenness centrality. Objective: The purpose of this research is to empirically analyse the effect of the ongoing and radical change in the business environment within the automotive industry, referred to as CASE (connected, autonomous/automated, shared, and electric), on the network structure of the partnerships of automobile manufacturers. Methods/Approach: The methodology of this study is based on the use of real data on partnerships of car manufacturers around the world, analysed using social network analysis methods. Results/Findings: The analysis confirms that there is a significant correlation between the degree of the CASE approach, the number of weak ties and the size of structural holes. In addition, several cases showed significant differences in the network structure between new technology ventures and existing legacy technology firms. The findings highlight the insight that the network structure of the automotive industry is likely to change significantly in the future due to technological innovation

ソフトウェア要求仕様書の品質モデル設計方法論と自動車ソフトウェアシステムへの応用に関する研究

南山大学201