Abstract:
The rapid growth of Artificial Intelligence (AI) has significantly changed modern supply chain operations by improving effectiveness, adaptability, and sustainability. As more businesses use AI-powered technologies, it is critical to analyze their effect on Environmentally Sustainable Supply Chain Performance (ESSCP). Furthermore, ability of supply chains be resilient during disturbances, as well as the application of internal green supply chain management practices, play a key role of obtaining environmental sustainability. The main objective of this research was to examine the effect of AI adoption on Environmentally Sustainable Supply Chain Performance. Furthermore, study intended to explore mediating impact of Supply Chain Resilience (SCR) between AI adoption and ESSCP. Furthermore, this study aimed to evaluate the moderating impact of Internal Green Supply Chain Management Practices (IGSCMP) in enhancing relationship between AI adoption and supply chain resilience. Primary research has been carried out in this research with the data collected by conducting a survey. The selected group consists of supply chain professionals in various sectors of supply chain management within Islamabad and Rawalpindi. The SPSS software package has been used to analyze the data obtained. The results suggest that integrating AI into supply chain operations improves environmental sustainability performance, not only on its own but also by strengthening supply chain resilience, which acts as a mediating mechanism. In addition, strong internal green supply chain management practices were found to reinforce the link between AI adoption and resilience outcomes, making that relationship more pronounced. Overall, the study extends existing academic understanding while also offering practical direction for managers and policymakers who aim to build more resilient and environmentally responsible supply chains through the use of AI-driven systems.
