This research delves into the impact of Big Data Analytics Capabilities (BDAC) on the performance of green supply chains in Pakistan. The investigation relies on primary data obtained from the manufacturing sectors, utilizing a sample size of 129 for the final analysis. Structural equation modeling (SEM) through SmartPLS 4 was employed for data analysis. The findings reveal a statistically significant and positive correlation between BDAC and Green Innovation (GI), Green Supply Chain Integration (GSCI), and Green Supply Chain Performance (GSCP). Notably, the study underscores the more pronounced impact of BDAC on Green Innovation compared to its effects on Green Supply Chain Integration and Performance. Several limitations were encountered during the study, including reliance on a questionnaire for primary data collection, the utilization of cross-sectional data, and the focus on a singular context within one country. Despite these constraints, the results offer valuable insights for stakeholders and policymakers in Pakistan's manufacturing sector, supporting effective management of organizational competencies related to big data analytics to enhance both green innovation and green supply chain performance.
Ikram et al. (Sun,) studied this question.