An economic model of circular supply network dynamics: Toward an understanding of performance measurement in the context of multiple stakeholders

Brown, PJ; Bajada, C

An economic model of circular supply network dynamics: Toward an understanding of performance measurement in the context of multiple stakeholders

Brown, PJ

Bajada, C

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Publication Type:: Journal Article
Citation:: Business Strategy and the Environment, 2018, 27 (5), pp. 643 - 655
Issue Date:: 2018-07-01

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Field	Value	Language
dc.contributor.author	Brown, PJ https://orcid.org/0000-0002-8603-0280	en_US
dc.contributor.author	Bajada, C https://orcid.org/0000-0003-0590-1492	en_US
dc.date.issued	2018-07-01	en_US
dc.identifier.citation	Business Strategy and the Environment, 2018, 27 (5), pp. 643 - 655	en_US
dc.identifier.issn	0964-4733	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128289
dc.description.abstract	© 2018 John Wiley & Sons, Ltd and ERP Environment The circular economy (CE) is increasingly being seen as a way in which organizations and economies can become environmentally sustainable. In this context, a key challenge facing multiple-stakeholder collaborations in circular supply networks (CSNs) is the need to coordinate activities, as well as to monitor and benchmark sustainability performance. The limited formal analysis of CE production dynamics and performance indicators of activities in the CSN has contributed to these challenges. To address this we develop an economic model of material flow in a CSN that incorporates multiple stakeholder effects, and two novel performance indicators that: (i) estimate the joint effects of the speed of recycling, and the effectiveness of collection and conversion of recycled material on production; and (ii) a measure of the upper bound production possibilities for a given recyclable material cycling through a CSN. These indicators will be informative for monitoring, benchmarking and incentivizing performance across CSNs and informing public policy debates and strategies.	en_US
dc.relation.ispartof	Business Strategy and the Environment	en_US
dc.relation.isbasedon	10.1002/bse.2069	en_US
dc.subject.classification	Business & Management	en_US
dc.title	An economic model of circular supply network dynamics: Toward an understanding of performance measurement in the context of multiple stakeholders	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	27	en_US
utslib.for	1503 Business and Management	en_US
utslib.for	1501 Accounting, Auditing and Accountability	en_US
utslib.for	0502 Environmental Science and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Economics Discipline
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	27	en_US

Abstract:

© 2018 John Wiley & Sons, Ltd and ERP Environment The circular economy (CE) is increasingly being seen as a way in which organizations and economies can become environmentally sustainable. In this context, a key challenge facing multiple-stakeholder collaborations in circular supply networks (CSNs) is the need to coordinate activities, as well as to monitor and benchmark sustainability performance. The limited formal analysis of CE production dynamics and performance indicators of activities in the CSN has contributed to these challenges. To address this we develop an economic model of material flow in a CSN that incorporates multiple stakeholder effects, and two novel performance indicators that: (i) estimate the joint effects of the speed of recycling, and the effectiveness of collection and conversion of recycled material on production; and (ii) a measure of the upper bound production possibilities for a given recyclable material cycling through a CSN. These indicators will be informative for monitoring, benchmarking and incentivizing performance across CSNs and informing public policy debates and strategies.

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http://hdl.handle.net/10453/128289