| Title |
An environmental-based perspective framework: integrating IoT technology into a sustainable automotive supply chain |
| ID_Doc |
70061 |
| Authors |
El Jaouhari, A; Arif, J; Samadhiya, A; Kumar, A; Garza-Reyes, JA |
| Title |
An environmental-based perspective framework: integrating IoT technology into a sustainable automotive supply chain |
| Year |
2023 |
| Published |
|
| DOI |
10.1108/BIJ-05-2023-0322 |
| Abstract |
Purpose - Over the next decade, humanity is going to face big environmental problems, and considering these serious issues, businesses are adopting environmentally responsible practices. To put forward specific measures to achieve a more prosperous environmental future, this study aims to develop an environment-based perspective framework by integrating the Internet of Things (IoT) technology into a sustainable automotive supply chain (SASC). Design/methodology/approach - The study presents a conceptual environmental framework - based on 29 factors constituting four stakeholders' rectifications - that holistically assess the SASC operations as part of the ReSOLVE model utilizing IoT. Then, experts from the SASC, IoT and sustainability areas participated in two rigorous rounds of a Delphi study to validate the framework. Findings - The results indicate that the conceptual environmental framework proposed would help companies enhance the connectivity between major IoT tools in SASC, which would help develop congruent strategies for inducing sustainable growth. Originality/value - This study adds value to existing knowledge on SASC sustainability and digitalization in the context where the SASC is under enormous pressure, competitiveness and increased variability. |
| Author Keywords |
Environment sustainability; Business strategy; Sustainable automotive supply chain; Internet of things |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001072429100001 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
https://repository.londonmet.ac.uk/8762/3/Accepted%20Version.pdf
|