An interval valued intuitionistic fuzzy approach to evaluate the challenges for adopting the smart textiles in readymade garment industries: Implications for sustainable business development

The readymade garment (RMG) sector is critical in the economic structure of numerous developing countries including Bangladesh making up around 83% of its overall exports. Despite its significance, the sector faces substantial risks and uncertainties, including fluctuating global markets, limited product diversification, and vulnerabilities accentuated by the COVID-19 pandemic. To sustain growth and navigate global market uncertainties, the garment industry must diversify product offerings and integrate smart textiles to enhance resilience and competitiveness. However, there are significant challenges to be overcome in incorporating smart textiles into the industry to achieve sustainable business growth. This study identifies and evaluates the key challenges impeding the adoption of smart textiles in Bangladesh’s RMG sector using data obtained from a structured expert survey comprising 12 industry specialists and academicians. Employing an Interval-Valued Type 2 Intuitionistic Fuzzy (IVT2IF) integrated with Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology, the analysis highlighted “Incompatibility with current production infrastructure” with “Inadequate scalability of production” being the main cause, and “Incompatibility among the suppliers” being the most affected outcome. These findings provide actionable insights for industry stakeholders and policymakers, emphasizing strategic infrastructural investments and collaboration improvements, thus facilitating sustainable business development in the RMG sector. • Unveils the key challenges to adopt smart textiles in the RMG industry. • Utilizes hybrid IVT2IF-DEMATEL framework to analyze the critical challenges. • “Incompatibility with current infrastructure” is the most significant one. • “Inadequate scalability of production,” the most influential cause factor. • Outcomes to help strategic planning and sustainable RMG business development.

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Publication Details

Journal
Green Technologies and Sustainability
Published
2025-05-27
DOI
https://doi.org/10.1016/j.grets.2025.100225
Primary Topic
Intuitionistic Fuzzy Systems Applications
Type
article
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article

An interval valued intuitionistic fuzzy approach to evaluate the challenges for adopting the smart textiles in readymade garment industries: Implications for sustainable business development

Mahathir Mohammad Bappy, Saifur Rahman Tushar, MD Shafikul Islam, Mohammad Daud Ali et al.
Green Technologies and Sustainability
Intuitionistic Fuzzy Systems Applications
article

An interval valued intuitionistic fuzzy approach to evaluate the challenges for adopting the smart textiles in readymade garment industries: Implications for sustainable business development

Mahathir Mohammad Bappy, Saifur Rahman Tushar, MD Shafikul Islam, Mohammad Daud Ali, Abdullah Al Nadim
article en

Abstract

The readymade garment (RMG) sector is critical in the economic structure of numerous developing countries including Bangladesh making up around 83% of its overall exports. Despite its significance, the sector faces substantial risks and uncertainties, including fluctuating global markets, limited product diversification, and vulnerabilities accentuated by the COVID-19 pandemic. To sustain growth and navigate global market uncertainties, the garment industry must diversify product offerings and integrate smart textiles to enhance resilience and competitiveness. However, there are significant challenges to be overcome in incorporating smart textiles into the industry to achieve sustainable business growth. This study identifies and evaluates the key challenges impeding the adoption of smart textiles in Bangladesh’s RMG sector using data obtained from a structured expert survey comprising 12 industry specialists and academicians. Employing an Interval-Valued Type 2 Intuitionistic Fuzzy (IVT2IF) integrated with Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology, the analysis highlighted “Incompatibility with current production infrastructure” with “Inadequate scalability of production” being the main cause, and “Incompatibility among the suppliers” being the most affected outcome. These findings provide actionable insights for industry stakeholders and policymakers, emphasizing strategic infrastructural investments and collaboration improvements, thus facilitating sustainable business development in the RMG sector. • Unveils the key challenges to adopt smart textiles in the RMG industry. • Utilizes hybrid IVT2IF-DEMATEL framework to analyze the critical challenges. • “Incompatibility with current infrastructure” is the most significant one. • “Inadequate scalability of production,” the most influential cause factor. • Outcomes to help strategic planning and sustainable RMG business development.

Green Technologies and SustainabilityVol. 3(3)
Louisiana State University (US), California State University System (US), Bangladesh University of Textiles (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
Intuitionistic Fuzzy Systems Applications
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