Big data analytics in supply chain management theory and applications / edited by Iman Rahimi, Amir H. Gandomi, Simon James Fong and M. Ali ©œlk©ơ.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2021. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Other author/creator | Rahimi, Iman. |
| Other author/creator | Gandomi, Amir Hossein. |
| Other author/creator | Fong, Simon. |
| Other author/creator | ©lk©ơ, Muhammed Ali. |
| Abstract | "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 Business and Engineering students, scholars, and professionals, this book is a collection of the state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge on emerging supply chain problems"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020036449 |
| ISBN | 9780367407179 (hbk) |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |