The moderating effect of web service on the relationship between business analytics and supply chain performance

Abstract

In recent years, supply chain performance measurement has received much attention from researchers and practitioners. Effective supply chain performance through supply chain antecedents such as business analytics has become a potentially valuable way of securing competitive advantage and improving supply chain performance. Many organizations have begun to recognize that supply chain management is the key to building a sustainable competitive advantage for their products or services in an increasingly crowded marketplace. Despite the fact that, determining supply chain performance through its antecedents is considered as a unique methodology, theoretical and comprehensive studies on supply chain performance through the methodology is few and far between. This study addressed the lack of the empirical studies by developing a comprehensive model to examine the effect of plan analyse, source analyse, make analyse and delivery analyse on supply chain performance considering moderating effect of WS on the relationships. A quantitative methodology using a cross-sectional survey method was used to investigate the relationship between variables. Data were collected from automotive companies in Iran. The overall response rate was 86.72%. The relationships between variables were examined using structural equation modelling (SEM) technique and partial least squares (PLS) software was used to examine the proposed hypotheses. The results revealed there is a significant and positive relationship between four areas of business analytics namely plan analyse, source analyse, make analyse and delivery analyse and supply chain performance. Moreover, the results indicated that the aforementioned relationship is moderated by WS. The study combined resource- based theory, resource dependence theories to develop a new theoretical framework to demonstrate the importance of the four areas of SCOR approach businesses analytic; in improving supply chain performance. Moreover, the study has provided a new platform to effectively improve supply chain performance.