Abstract:

The purpose of this paper is to investigate the key determinant that affect the adoption of Big Data Analytics (BDA) in Malaysian warehousing industry. Technology-Organization-Environment (TOE) framework has been adopted as the main theory to support the conceptual framework. The determinants of BDA adoption potential within Malaysian warehousing industry was explored using this conceptual paper. The theoretical gap was identified in this study by exploring the factors of BDA adoption potentials. Findings suggest five determinants that might have essential effects on the BDA adoption potentials within warehousing industry. This study will serve as a facilitator for warehousing firms to implement the most attractive and appropriate strategies in adopting BDA thus boost Malaysian sustainable supply chain and logistics system. This research paper enables warehousing industry to understand clearly the possible determinants that need to be considered for BDA adoption in the warehouse operations. Previous studies explored the adoption of BDA in emerging economies as well as at the organizational level by using TOE framework. However, TOE framework has not been integrated in examining the BDA adoption intentions in warehousing industry. This study is an extension of the existing literature for future empirical study in this area.