Abstract
This study aims to address the existing gap in the literature regarding the effectiveness of global green supply chain management (GSCM) practices for environmental management systems (EMS) and market competitiveness during the COVID 19 pandemic. While there has been significant academic interest in GSCM, its connect ion to EMS and market competitiveness has not been thoroughly explored. It is widely recognized that supply management plays a crucial role in maintaining market competitiveness. To fill this research gap, this study examines the influence of environmental management systems on the relationship between GSCM practices and market competitiveness. Additionally, we propose that big data analytics and artificial intelligence (BDA AI) and environmental visibility play an important role in shaping these associatio ns, particularly in the context of the COVID 19 pandemic.To evaluate our proposed model, we employed regression based structural equation modelling (SEM) using primary data gathered from a sample size of 330 participants. Our findings offer empirical evid ence of the impact of GSCM on EMS and market competitiveness. Furthermore, the results demonstrate that BDA AI and environmental visibility enhance the positive relationship between GSCM EMS and EMS, ultimately leading to improved market competitiveness. R ecent research indicates that supply chain professionals, policy makers, managers, and researchers are increasingly adopting formal EMS, BDA AI, and environmental visibility to help their organizations achieve the competitiveness required by the market. By embracing these practices, organizations can effectively navigate the challenges posed by the COVID 19 pandemic and position themselves for success in the market.
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