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Data Analytics and Supply Chain Management: Leveraging Big Data to Optimize Production and Logistics in Fashion and Textiles
University of Borås, Faculty of Textiles, Engineering and Business. (TVCM)ORCID iD: 0000-0002-9955-6273
2025 (English)In: Use of Digital and Advanced Technologies in the Fashion Supply Chain, Singapore: Springer Nature, 2025, p. 89-105Chapter in book (Refereed)
Abstract [en]

The rapid expansion of digital solutions is transforming the landscape of the textile and fashion (T&F) industry. Advanced digitization within the T&F sector is not only altering the way the production and distribution operations are carried out, but also fostering a new paradigm of data, known as big data and data analytics known as big data analytics. This transformation is reshaping the approach of data-driven decision-making in the industry. Aligned with the recent developments, this chapter provides an overview of the characteristics of big data and data analytics, and how the T&F industry can leverage such change to create a competitive advantage.

Place, publisher, year, edition, pages
Singapore: Springer Nature, 2025. p. 89-105
National Category
Business Administration Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Textiles and Fashion (General); Business and IT
Identifiers
URN: urn:nbn:se:hb:diva-33394ISBN: 9789819775286 (electronic)ISBN: 978-981-97-7527-9 (print)OAI: oai:DiVA.org:hb-33394DiVA, id: diva2:1945292
Available from: 2025-03-18 Created: 2025-03-18 Last updated: 2025-11-13Bibliographically approved

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Kumar, Vijay

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