TY - JOUR
T1 - Big Data Analytics as a Driver for Sustainable Performance
T2 - The Role of Green Supply Chain Management in Advancing Circular Economy in Saudi Arabian Pharmaceutical Companies
AU - Mousa Mousa, Mohammad
AU - Abdulrahman Al Moosa, Heyam
AU - Naim Ayyash, Issam
AU - Omeish, Fandi
AU - Zaiem, Imed
AU - Alzahrani, Thamer
AU - Hammami, Samiha Mjahed
AU - Zamil, Ahmad M.
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/7
Y1 - 2025/7
N2 - 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.
AB - 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.
KW - digital transformation
KW - emerging markets
KW - environmental performance
KW - pharmaceutical industry
KW - resource regeneration
KW - sustainable sourcing
UR - http://www.scopus.com/inward/record.url?scp=105011758625&partnerID=8YFLogxK
U2 - 10.3390/su17146319
DO - 10.3390/su17146319
M3 - Article
AN - SCOPUS:105011758625
SN - 2071-1050
VL - 17
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 14
M1 - 6319
ER -