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dc.contributor.authorKadery, Syed Muhammad Nadeem
dc.contributor.authorAl Haque, Rafat Arrahman
dc.contributor.authorHabib, Md. Mamun
dc.date.accessioned2026-08-02T07:27:03Z
dc.date.available2026-08-02T07:27:03Z
dc.date.issued2025-11
dc.identifier.isbn978-984-35-5270-9
dc.identifier.otherICEBTM-25-1032
dc.identifier.urihttps://icebtm.iub.edu.bd
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/1416
dc.description.abstractThe global apparel industry is highly competitive, demanding innovation and cost-effective production models. Bangladesh, a leading textile exporter, struggles with long lead times (90–100 days) compared to rivals like China and Pakistan. Relying only on cheap labor makes it difficult to sustain market leadership, especially as Cambodia and Vietnam rise. The COVID-19 crisis accelerated blockchain adoption worldwide, particularly in apparel, where it enhances transparency, authentication, and efficiency, strengthening brand image and profits. Blockchain, introduced by Satoshi Nakamoto, offers secure, decentralized data sharing, preventing breaches and fostering trust. For Bangladesh, integrating blockchain into the RMG supply chain could reduce costs, improve stakeholder collaboration, and ensure competitiveness. Research highlights that traditional supply chains depend heavily on labor and contractors, but blockchain’s distributed ledger can streamline information flow among stakeholders. To maintain dominance in the digitized 21st century, Bangladesh must embrace blockchain, ensuring sustainability, customer satisfaction, and global relevance.en_US
dc.format.extentpp. 71-76
dc.language.isoenen_US
dc.publisherSchool of Business and Entrepreneurship, Independent University, Bangladesh (IUB)en_US
dc.sourceThe Proceedings of the International Conference on Economics, Business and Technology Management (ICEBTM 2025)
dc.subjectBlockchainen_US
dc.subjectSupply chainen_US
dc.subjectReady-Made Garmentsen_US
dc.subjectRMGen_US
dc.titleApplication of Blockchain in Ready-Made Garments Supply Chain: A Conceptual Modelen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.67508/iub.icebtm.2025.012


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