Big Data Analytics in Supply Chain Management : Theory and Applications Hardback
Edited by Iman (Islamic Azad University, Iran) Rahimi, Amir H. (Stevens Institute of Technology, NJ) Gandomi, Simon James (University of Macau, South Africa) Fong, M. Ali (Dalhousie University, Nova Scotia) Ulku
Hardback
Description
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data.
Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management.
It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research.
Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
Information
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Out of stock
- Format:Hardback
- Pages:194 pages, 33 Tables, black and white; 43 Line drawings, black and white; 2 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:21/12/2020
- Category:
- ISBN:9780367407179
Information
-
Out of stock
- Format:Hardback
- Pages:194 pages, 33 Tables, black and white; 43 Line drawings, black and white; 2 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:21/12/2020
- Category:
- ISBN:9780367407179
