Big Data Analytics in Supply Chain Management: Theory and Applications
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- Synopsis
- 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.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 194 Pages
- ISBN-13:
- 9781000326932
- Related ISBNs:
- 9780367407179, 9781000326918, 9780367816384, 9781000326925
- Publisher:
- CRC Press
- Date of Addition:
- 04/15/24
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Iman Rahimi
- Edited by:
- Amir H. Gandomi
- Edited by:
- Simon James Fong
- Edited by:
- M. Ali Ülkü
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- by Iman Rahimi, Amir H. Gandomi, Simon James Fong, and M. Ali Ülkü
- in Nonfiction
- in Computers and Internet
- in Technology