Comparative analysis of the structural attributes of supply network firms in auto industry (social network analysis approach)

Due to the entry of companies into the competition among the networks the ultimate success of companies depends on the ability of management to integrate the interconnected network of interfirm relationships. Hence, this has required the identification of the structural characteristics of the networks for their better management. Traditional modeling and analysis approaches focus on individual firms or use a dyadic lens. This approach, however, fails to account for the systemic effects resulting from the complex topological and behavioral aspects inherent in supply networks (SNs). In spite of economic importance, little is known about diversification in the structural shape or topology of SNs. Therefore, many researchers have emphasized the use of social network analysis as a tool for morphological analysis of SNs. In this regard, this study examines the structural characteristics of the supply network in the Iran automotive industry for understanding the structural difference between the high-performing companies and the others in their network. The results showed that high-performing companies are not properly configured to respond to market requirnments and have little agility in this regard. Also, they exhibit significant relational power, more timely access to resources, greater levels of knowledge sharing and learning among SN members. In other words, they manage their relationships in a way that facilitates sharing of knowledge and learning.