Purpose The purpose of this study is to investigate the impact of big data (BD) analytics
capabilities (BDACs) on green supply chain integration (GSCI) and green innovation (GI) in …

Purpose The objective of this paper is to examine the impact of big data analytics
capabilities (BDAC) on green radical supply chain innovation (GRSCI), green incremental …

Purpose This study investigates the impact of big data analytics capabilities on green supply
chain performance. Moreover, it assesses the mediating effect of the green innovation and …

Purpose Based on organizational information processing theory, this research explores how
big data analytics capability (BDAC) contributes to green supply chain integration (GSCI) …

Purpose This study aims to examine the role of big data analytics (BDA) powered by artificial
intelligence (AI) in improving sustainable performance (SP) through green supply chain …

Purpose Despite big data analytics capability (BDAC) has received extensive attention, how
and under what conditions BDAC influences green supply chain integration (GSCI) remains …

Academics and practitioners have become more interested in big data analytics (BDA) in
recent years. There have been few empirical studies on the relationship between BDA and …

Alongside many studies on greening efforts for supply chain activities, there is a research
gap in understanding the emergence and adoption of green supply chain innovation (GSCI) …

Purpose The current study examines the impact of big data analytics capabilities (BDAC) on
supply chain performances of the manufacturing firms. Based on the underpinning of …

We aim to investigate the relationship between green supply chain management (GSCM)
and green innovation (GI) since prior studies are fragmented and have reported mixed …