Big Data Analytics in Supply Chain Management: Theory and Applications

Iman Rahimi (Editor), Amir H. Gandomi (Editor), Simon James Fong (Editor), M. Ali UElku (Editor), and M. Ali Ülkü (Editor)

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Book cover for Big Data Analytics in Supply Chain Management

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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.

  • ISBN10 0367407175
  • ISBN13 9780367407179
  • Publish Date 21 December 2020 (first published 20 December 2020)
  • Publish Status Active
  • Publish Country GB
  • Publisher Taylor & Francis Ltd
  • Imprint CRC Press
  • Format Hardcover
  • Pages 194
  • Language English