2022
DOI: 10.1002/sd.2434
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Sustainable manufacturing adoption in textile industries: A systematic state‐of‐art literature review and future research outline

Abstract: The objective of this study is to investigate and review the sustainable manufacturing (SM) adoption research conducted in textile industries, from 2007 to May 2022. The search term is "SM adoption in the textile industry" in their phrases and titles. Find the number of dimensions including publishing years, country, journal, publishing houses, research design, methods, data analysis, and MCDM methods. This study attempts to provide an overview of the 172 articles, which have been searched with the keyword "SM… Show more

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Cited by 9 publications
(2 citation statements)
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References 42 publications
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“…To this table, we added five columns for, one for each category, and one for possible future research directions. This is in line with the common practice for this type of study (Bahman, 2023; Chourasiya et al, 2023). The table (in CSV format) is provided as a supplement to this study.…”
Section: Methods and Labelingsupporting
confidence: 87%
“…To this table, we added five columns for, one for each category, and one for possible future research directions. This is in line with the common practice for this type of study (Bahman, 2023; Chourasiya et al, 2023). The table (in CSV format) is provided as a supplement to this study.…”
Section: Methods and Labelingsupporting
confidence: 87%
“…The textile sector leaves substantial environmental footprints due to resource-intensive processes but exhibits a varying commitment to sustainability (Gai et al , 2022). Compliance with international standards and regulations is essential for market access, and rising consumer awareness has driven many firms to adopt eco-friendly practices; however, there is a limited focus on how the textile industry can effectively embrace green innovation and improve sustainability performance (Hayat et al , 2020; Chourasiya et al , 2023). The textile industry faces unique challenges, such as resource-intensive processes and complex global supply chains, requiring specialized investigation (Todeschini et al , 2017).…”
Section: Introductionmentioning
confidence: 99%