Big Data Analytics as a Driver for Sustainable Performance: The Role of Green Supply Chain Management in Advancing Circular Economy in Saudi Arabian Pharmaceutical Companies

Mohammad Mousa Mousa, Heyam Abdulrahman Al Moosa, Issam Naim Ayyash, Fandi Omeish, Imed Zaiem, Thamer Alzahrani, Samiha Mjahed Hammami, Ahmad M. Zamil

Research output: Contribution to journalArticlepeer-review

Abstract

Facing growing sustainability challenges and the critical priority of digital transformation, this study explores, through the lens of the dynamic capability view, the links between big data, sustainable performance, and green supply chain in a circular economy logic, filling a notable gap in emerging markets, particularly the pharmaceutical sector. Our study proposes an original conceptual model linking big data analytics to the circular economy, tested with 275 employees from the Saudi pharmaceutical sector. The results, obtained through state-of-the-art PLS-SEM modeling, indicate a significant positive impact of big data analytics on sustainable performance and green supply chain management within the circular economy framework. The study also reveals the crucial mediating role of sustainable performance and green supply chain management in the relationship between big data analytics and the circular economy. Our study proposes an integrated framework for understanding how digital technologies support the circular economy in emerging markets, with practical implications for pharmaceutical sector actors and policymakers, in line with Saudi Arabia’s Vision 2030.

Original languageEnglish
Article number6319
JournalSustainability (Switzerland)
Volume17
Issue number14
DOIs
StatePublished - Jul 2025

Keywords

  • digital transformation
  • emerging markets
  • environmental performance
  • pharmaceutical industry
  • resource regeneration
  • sustainable sourcing

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