Purpose This paper aims to conduct a systematic literature review of the research in the field
of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management …

Purpose The abrupt outbreak of coronavirus disease (COVID-19) hit every nation in 2020–
2021, causing a worldwide pandemic. The worldwide COVID-19 epidemic, described as a …

Incorporating big data analytics into a particular context brings various challenges that rest
on the model or framework through which individuals or organisations adopt big data to …

This paper examines the impact of cyber resilience and supply chain (SC) robustness on
supply chain performance in the UAE chemical industry. No prevailing empirical evidence …

Big data analytics capabilities and supply chain performance: testing a moderated mediation
model using partial least squares approach | Emerald Insight Books and journals Case studies …

Despite manufacturing companies recognising the potential benefits associated with the
adoption of Supply Chain Analytics (SCA), only a few firms adopt data-based decision …

This article provides a theoretical framework for comprehending the connections between
dynamic data analytics capability (DDAC), innovation capabilities (IC), supply chain …

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

Purpose There has been limited research that has explored the connection between digital
supply chain (DSC) and SC innovation and SC dynamic capabilities. This paper aims to …

Purpose This study explores the impact of intellectual capital on the adoption of supply chain
analysis by manufacturing companies. The authors also examine the potential role of supply …