A new integrated knowledge model in supplier selection

Abstract

Purpose– This paper aims to empirically explore the effects of intellectual capital (IC) on supplier selection (SS) and, consequently, investigates the consecutive impacts on an Asian automotive supply chain performance (SCP).Design/methodology/approach– A questionnaire-oriented survey obtained from top managers and expert employees from three different Asian automotive industries, all of which exist in the same supply chain, was utilized for factor analysis and structural equation modeling (SEM).Findings– The findings indicate that some dimensions of IC containing human capital, relational capital and structural capital sufficiently influence evaluation and selection of optimal suppliers which lead to more efficient performance of the supply chain.Research limitations/implications– First, as the research analyzes the findings extracted from three important Asian automotive companies which exist in the same supply chain, the results may not be applicable to other industries in different countries. Second, gathering data from other elements of the supply chain like wholesalers and retailers could enrich the research conducted. Besides, more advanced statistical methods could be utilized to evaluate the regression equations and SEM.Practical implications– With a comprehensive view on IC that takes into account its creation, protection and utilization, IC plays an essential role in selecting and assessing optimal suppliers which enhance competitive advantage, especially in knowledge-based organizations. IC will also increase the SCP efficiently and effectively.Originality/value– This study develops an integrated knowledge model for a SS issue based on IC, and focuses on the effects of its various elements. It offers assistance to managers who tend to select optimal suppliers effectively.