Measuring sustainability performance using an integrated model

Sarker, MR; Ali, SM; Paul, SK; Munim, ZH

Measuring sustainability performance using an integrated model

Sarker, MR Ali, SM Paul, SK Munim, ZH

Permalink

Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Measurement, 2021, 184, pp. 109931-109931
Issue Date:: 2021-11

Closed Access

	Filename	Description	Size
	1-s2.0-S026322412100868X-main.pdf	Published version	822.72 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Sarker, MR
dc.contributor.author	Ali, SM
dc.contributor.author	Paul, SK
dc.contributor.author	Munim, ZH
dc.date.accessioned	2021-12-21T21:54:53Z
dc.date.available	2021-12-21T21:54:53Z
dc.date.issued	2021-11
dc.identifier.citation	Measurement, 2021, 184, pp. 109931-109931
dc.identifier.issn	0263-2241
dc.identifier.uri	http://hdl.handle.net/10453/152448
dc.description.abstract	This study presents a sustainability performance measurement model integrating the Balanced Scorecard (BSC) perspective and the Fuzzy multiple-criteria decision-making (FMCDM) approach. First, this study proposes a list of twenty-one indexes of sustainability, based on four BSC-based dimensions, in line with triple bottom line sustainability dimensions, derived from the literature and experts’ inputs. Then, the relative weight of each sustainability index was evaluated using the Fuzzy Analytic Hierarchy Process (FAHP). To demonstrate the proposed approach, we practically measure the sustainability performance using three MCDM methods — Simple Additive Weighting (SAW), fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS), and fuzzy Multi-Criteria Optimization and Compromise Solution (VIKOR). Finally, strategies for improving sustainability performance for a real-word case are suggested. The proposed measurement model can be an appropriate tool for industrial managers seeking to evaluate the efficacy of their sustainability strategies.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Measurement
dc.relation.isbasedon	10.1016/j.measurement.2021.109931
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0913 Mechanical Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Measuring sustainability performance using an integrated model
dc.type	Journal Article
utslib.citation.volume	184
utslib.for	1503 Business and Management
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0913 Mechanical Engineering
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/Management Discipline
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2021-12-21T21:54:53Z
pubs.publication-status	Published
pubs.volume	184

Abstract:

This study presents a sustainability performance measurement model integrating the Balanced Scorecard (BSC) perspective and the Fuzzy multiple-criteria decision-making (FMCDM) approach. First, this study proposes a list of twenty-one indexes of sustainability, based on four BSC-based dimensions, in line with triple bottom line sustainability dimensions, derived from the literature and experts’ inputs. Then, the relative weight of each sustainability index was evaluated using the Fuzzy Analytic Hierarchy Process (FAHP). To demonstrate the proposed approach, we practically measure the sustainability performance using three MCDM methods — Simple Additive Weighting (SAW), fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS), and fuzzy Multi-Criteria Optimization and Compromise Solution (VIKOR). Finally, strategies for improving sustainability performance for a real-word case are suggested. The proposed measurement model can be an appropriate tool for industrial managers seeking to evaluate the efficacy of their sustainability strategies.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/152448