Investigating the influence of big data analytics capabilities and human resource factors in achieving supply chain innovativeness

The current study aims to bridge the gap in understanding how big data analytics and human resource factors impact supply chain innovation and enhance supply chain sustainability. For empirical investigation, data were collected from employees working in manufacturing firms. For inferential analysis 341 valid responses were used. Results indicate that supply chain innovation is predicted by big data analytic capability, big data analytic staff capability, employee development, employee empowerment and employee involvement and explained large variance R2 0.538 % in measuring supply chain innovativeness. Practically, this research suggests that policy makers should focus on supply chain innovativeness, big data analytics, big data analytics staff capability and supply chain connectivity to enhance sustainable performance in supply chain operations. Theoretically, this research has synthesized literature and develops an integrated research model that combines technology and human resource factors altogether to investigate supply chain innovation and sustainability in supply chain performance.