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  5. Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery

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Article
English
2021

Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery

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English
2021
International Journal of Logistics Research and Applications
Vol 26 (6)
DOI: 10.1080/13675567.2021.1974365

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Joseph Sarkis
Joseph Sarkis

Worcester Polytechnic Institute

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Santosh Nandi
Aref A. Hervani
Marilyn M. Helms
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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.

How to cite this publication

Santosh Nandi, Aref A. Hervani, Marilyn M. Helms, Joseph Sarkis (2021). Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery. International Journal of Logistics Research and Applications, 26(6), pp. 662-682, DOI: 10.1080/13675567.2021.1974365.

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Publication Details

Type

Article

Year

2021

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

International Journal of Logistics Research and Applications

DOI

10.1080/13675567.2021.1974365

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