Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance-Reference-Cited by-同舟云学术

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

Published:2024-07-04 Issue:13 Volume:16 Page:5717
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Zhang Qingyu¹^ORCID,Ullah Aman¹^ORCID,Ashraf Sana²,Abdullah Muhammad³

Affiliation:

1. Research Institute of Business Analytics and Supply Chain Management, College of management, Shenzhen University, Shenzhen 518060, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China

3. School of Business, National Textile University, Faisalabad 37610, Pakistan

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.

Funder

Key Project of National Social Science Foundation of China

Shenzhen Science and Technology Program

Shenzhen University Humanities and Social Sciences High-level Innovation Team Project for Leading Scholars

Publisher

MDPI AG

Link

https://www.mdpi.com/2071-1050/16/13/5717/pdf

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