TY - JOUR
T1 - Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery
AU - Nandi, Santosh
AU - Hervani, Aref Aghaei
AU - Helms, Marilyn M.
AU - Sarkis, Joseph
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021/9/7
Y1 - 2021/9/7
N2 - 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.
AB - 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.
KW - 512 Business and Management
UR - http://www.scopus.com/inward/record.url?scp=85114646990&partnerID=8YFLogxK
U2 - 10.1080/13675567.2021.1974365
DO - 10.1080/13675567.2021.1974365
M3 - Article
SN - 1367-5567
JO - International Journal of Logistics Research and Applications : A Leading Journal of Supply Chain Management
JF - International Journal of Logistics Research and Applications : A Leading Journal of Supply Chain Management
ER -