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

Santosh Nandi*, Aref Aghaei Hervani, Marilyn M. Helms, Joseph Sarkis

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)

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.
Original languageEnglish
Peer-reviewed scientific journalInternational Journal of Logistics Research and Applications : A Leading Journal of Supply Chain Management
ISSN1367-5567
DOIs
Publication statusPublished - 07.09.2021
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management

Areas of Strength and Areas of High Potential (AoS and AoHP)

  • AoHP: Humanitarian and societal logistics

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