Investigating the Technological Impact on RMG Supply Chain: A Post-Pandemic Scenario

This study investigates the technological transformation of Bangladesh’s Ready-Made Garment (RMG) supply chain in the aftermath of the COVID-19 pandemic, with a focus on operational efficiency, supply chain resilience, and environmental sustainability. Utilizing a mixed-methods approach, the research draws on primary data from 249 experienced RMG professionals and secondary sources, including industry reports and academic literature. The analysis is structured around the Technology–Organization–Environment (TOE) framework, which elucidates how internal capabilities, technological readiness, and external pressures collectively shape digital adoption. Findings reveal that technologies such as Enterprise Resource Planning (ERP), Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain are increasingly integrated into supply chain processes, enhancing lead time efficiency, defect detection, traceability, and compliance. However, implementation is constrained by capital intensity, skill shortages, infrastructural limitations, and interoperability issues. Despite these challenges, external forces, including buyer mandates, regulatory shifts, and government support, are accelerating the sector’s digital evolution. This study contributes to the emerging literature on technology-driven supply chain management in developing economies and offers actionable insights for policymakers, global buyers, and industry leaders seeking to foster a resilient, ethical, and future-ready RMG ecosystem.

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Publication Details

Journal
American Journal of Industrial and Business Management
Published
2025-01-01
DOI
https://doi.org/10.4236/ajibm.2025.157046
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23

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article

Investigating the Technological Impact on RMG Supply Chain: A Post-Pandemic Scenario

Seeratus Sabah, Md. Mamun Habib, Farzana Rahman Chowdhury, Rodoshi Raisa et al.
1 citations
American Journal of Industrial and Business Management
Supply Chain Resilience and Risk Management
2.23
article

Investigating the Technological Impact on RMG Supply Chain: A Post-Pandemic Scenario

Seeratus Sabah, Md. Mamun Habib, Farzana Rahman Chowdhury, Rodoshi Raisa, Tamim Forhad Shuvo
article en
1 citations

Abstract

This study investigates the technological transformation of Bangladesh’s Ready-Made Garment (RMG) supply chain in the aftermath of the COVID-19 pandemic, with a focus on operational efficiency, supply chain resilience, and environmental sustainability. Utilizing a mixed-methods approach, the research draws on primary data from 249 experienced RMG professionals and secondary sources, including industry reports and academic literature. The analysis is structured around the Technology–Organization–Environment (TOE) framework, which elucidates how internal capabilities, technological readiness, and external pressures collectively shape digital adoption. Findings reveal that technologies such as Enterprise Resource Planning (ERP), Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain are increasingly integrated into supply chain processes, enhancing lead time efficiency, defect detection, traceability, and compliance. However, implementation is constrained by capital intensity, skill shortages, infrastructural limitations, and interoperability issues. Despite these challenges, external forces, including buyer mandates, regulatory shifts, and government support, are accelerating the sector’s digital evolution. This study contributes to the emerging literature on technology-driven supply chain management in developing economies and offers actionable insights for policymakers, global buyers, and industry leaders seeking to foster a resilient, ethical, and future-ready RMG ecosystem.

American Journal of Industrial and Business ManagementVol. 15(07)
Independent University, Bangladesh (BD)
Independent University, Bangladesh
Good health and well-being
Openalex Percentile: Top 10%
Supply Chain Resilience and Risk Management
2.23
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