| Title |
Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance |
| ID_Doc |
16437 |
| Authors |
Zhang, QY; Ullah, A; Ashraf, S; Abdullah, M |
| Title |
Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance |
| Year |
2024 |
| Published |
Sustainability, 16, 13 |
| DOI |
10.3390/su16135717 |
| 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. |
| Author 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 |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001266575800001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://doi.org/10.3390/su16135717
|