Based on the Dynamic Capability View and sustainable supply chains in multinational enterprises (MNEs), a theoretical framework is proposed to examine how big-data analytics capabilities affect MNEs' sustainable supply chain performance through green intellectual capital and supply chain innovation. 331 completed questionnaires were collected from IT, logistics, and supply chain managers. Using structural equation modeling (SEM), the study shows that big-data analytics capabilities positively impact the development of firms' green intellectual capital. Further, green intellectual capital contributes to sustainable supply chain performance, and supply chain innovations moderate the relationship. Moreover, green intellectual capital proves advantageous in mediating the influence of big-data analytics capabilities on sustainable supply chain performance when supply chain innovations moderate this influence. The findings provide novel insights into the big-data analytics capabilities, green intellectual capital, supply chain innovations, and sustainable supply chain performance nexus in the Gulf Cooperation Council (GCC) context. The managerial implications for promoting sustainable supply chain performance via green intellectual capital and innovations are critically examined.

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@article{oscm-2024-35,
  title={Big Data Analytics Capabilities, Green Intellectual Capital, Supply Chain Innovations and Sustainable Supply Chain Performance},
  author={},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2024},
  volume={17},
  number={1},
  pages={0--0},
  doi={http://doi.org/10.31387/oscm0580438}
}

 (2024). Big Data Analytics Capabilities, Green Intellectual Capital, Supply Chain Innovations and Sustainable Supply Chain Performance. Operations and Supply Chain Management: An International Journal, 17(1), 0-0. https://doi.org/http://doi.org/10.31387/oscm0580438