A comprehensive framework for the sustainability indicators in the textile industry of developing countries

Taiwo Gbolarumi Fadara; Kuan Yew Wong; Hossein Zarei

doi:10.1002/bsd2.332

A comprehensive framework for the sustainability indicators in the textile industry of developing countries

Taiwo Gbolarumi Fadara
, Kuan Yew Wong
, Hossein Zarei

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Textile production in developing countries is known to be associated with significant environmental, social, and economic challenges. Existing research has mostly focused on singular aspects of sustainability, while no consensus exists on the importance and applicability of sustainability indicators. To address these gaps, this study utilized an integrated approach involving the Delphi method and the fuzzy best‐worst method (BWM) to develop a comprehensive framework by identifying and formulating sustainability indicators tailored for the textile industry in developing countries and assess their importance and applicability. Through three consecutive rounds of Delphi, a total of 64 sustainability indicators were identified (16 economic, 24 environmental, and 24 social indicators). Next, fuzzy BWM was employed to determine the importance and applicability of these indicators. The results show that (a) environmental indicators overall have higher applicability scores, (b) the top three critical indicators were raw material usage, operational costs, and fuel consumption, and (c) nearly half of the indicators (29/64) were deemed highly applicable, with 34.5% (10/29) of these falling under environmental, 34.5% (10/29) under economic, and 31% (9/29) under social dimensions. Finally, the utility of the framework is demonstrated through an empirical case study in a textile manufacturing company in Nigeria.

Original language	English
Article number	e332
Number of pages	22
Journal	Business Strategy and Development
Volume	7
Issue number	1
Early online date	16 Jan 2024
DOIs	https://doi.org/10.1002/bsd2.332
Publication status	Published - Mar 2024

Bibliographical note

© 2024 ERP Environment and John Wiley & Sons Ltd
This is the peer reviewed version of the following article: Fadara, TG, Wong, KY & Zarei, H 2024, 'A comprehensive framework for the sustainability indicators in the textile industry of developing countries', Business Strategy and Development, vol. 7, no. 1, which has been published in final form at https://doi.org/10.1002/bsd2.332.
This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funding

Universiti Teknologi Malaysia. Grant Number: Vote number: 20H69

Funders	Funder number
University Technology Malaysia	20H69

Keywords

Delphi method
developing countries
fuzzy best-worst method
Nigeria
sustainability indicators
textile industry

Access to Document

10.1002/bsd2.332

Zarei2024AAMAccepted author manuscript, 878 KB

Cite this

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title = "A comprehensive framework for the sustainability indicators in the textile industry of developing countries",

abstract = "Textile production in developing countries is known to be associated with significant environmental, social, and economic challenges. Existing research has mostly focused on singular aspects of sustainability, while no consensus exists on the importance and applicability of sustainability indicators. To address these gaps, this study utilized an integrated approach involving the Delphi method and the fuzzy best‐worst method (BWM) to develop a comprehensive framework by identifying and formulating sustainability indicators tailored for the textile industry in developing countries and assess their importance and applicability. Through three consecutive rounds of Delphi, a total of 64 sustainability indicators were identified (16 economic, 24 environmental, and 24 social indicators). Next, fuzzy BWM was employed to determine the importance and applicability of these indicators. The results show that (a) environmental indicators overall have higher applicability scores, (b) the top three critical indicators were raw material usage, operational costs, and fuel consumption, and (c) nearly half of the indicators (29/64) were deemed highly applicable, with 34.5\% (10/29) of these falling under environmental, 34.5\% (10/29) under economic, and 31\% (9/29) under social dimensions. Finally, the utility of the framework is demonstrated through an empirical case study in a textile manufacturing company in Nigeria.",

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ER -

A comprehensive framework for the sustainability indicators in the textile industry of developing countries

Abstract

Bibliographical note

Funding

Keywords

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