| Title |
Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery |
| ID_Doc |
3755 |
| Authors |
Nandi, S; Hervani, AA; Helms, MM; Sarkis, J |
| Title |
Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery |
| Year |
2023 |
| Published |
International Journal Of Logistics-Research And Applications, 26, 6 |
| DOI |
10.1080/13675567.2021.1974365 |
| Abstract |
The circular economy (CE) has gained importance in the post-COVID-19 pandemic recovery. Businesses, while realising the CE benefits, have challenges in justifying and evaluating the CE benefits using available performance measurement tools, specifically when considering sustainability and other non-traditional benefits. Given the rising institutional pressures for environmental and social sustainability, we argue that organisations can evaluate their CE implementation performance using non-market-based environmental goods valuation methods. Further, the effectiveness of the CE performance measurement model can be enhanced to support supply chain sustainability and resilience through an ecosystem of multi-stakeholder digital technologies that include a range of emerging technologies such as blockchain technology, the internet-of-things (IoT), artificial intelligence, remote sensing, and tracking technologies. Accordingly, a CE performance measurement model (CEPMM) is conceptualised and exemplified using seven COVID-19 disruption scenarios to provide insights that can be addressed through CE practices. Analyses and implications are presented along with areas for future research. |
| Author Keywords |
For indexing; sustainability; circular economy; performance measurement; logistics; COVID-19; digitization; Environmental Economics |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000693531500001 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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