Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance

Qingyu Zhang, Aman Ullah (), Sana Ashraf and Muhammad Abdullah
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Qingyu Zhang: Research Institute of Business Analytics and Supply Chain Management, College of management, Shenzhen University, Shenzhen 518060, China
Aman Ullah: Research Institute of Business Analytics and Supply Chain Management, College of management, Shenzhen University, Shenzhen 518060, China
Sana Ashraf: College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
Muhammad Abdullah: School of Business, National Textile University, Faisalabad 37610, Pakistan

Sustainability, 2024, vol. 16, issue 13, 1-20

Abstract: The crucial shift towards sustainable and circular practices is evident in the dynamic and environmentally focused landscape of the fast fashion industry. This study explores how internet of things (IOT) and big-data-driven supply chain (BDSC) technologies mitigate the environmental footprint of fast fashion manufacturing. A survey was conducted on individuals ( n = 342) employed in the fast fashion manufacturing sector in Guangzhou, China. Deriving from the resource-based view (RBV) theory, IOT shows a significantly positive influence on firm performance through the mediation of green supply chain management (GSCM) and circular economy (CE) practices. Moreover, moderation of BDSC further strengthens the influence of IOT, GSCM and CE practices. Our empirical analysis investigates the synergistic impact of IOT and BDSC technologies to enhance the overall performance of CE supply chains. The research provides novel insights to improve the environmental sustainability of fast fashion sector.

Keywords: internet of things adoption; big-data-driven supply chain; green supply chain management practices; circular economy practices; firm performance for circular economy supply chain; fast fashion manufacturing; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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