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Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain

Editor

Listed:
  • Kersten, Wolfgang
  • Blecker, Thorsten
  • Ringle, Christian M.

Abstract

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply chain analytics and risk management. This volume, edited by Wolfgang Kersten, Thorsten Blecker and Christian Ringle, provides valuable insights into artificial intelligence and digital transformation in Supply Chain Management with regard to: - Innovation and Technology Management - Advanced Manufacturing, Industry 4.0 and Blockchain - Supply Chain Analytics and Artificial Intelligence - Risk and Security Management - Platform Economy and innovative Business Models

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), 2020. "Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 29, number 29.
    • Handle: RePEc:zbw:hiclpr:29
    DOI: 10.15480/882.3100
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    File URL: https://www.econstor.eu/bitstream/10419/228914/1/hicl-vol-29.pdf
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    References listed on IDEAS

    as
    1. Ralf T. Kreutzer & Tim Neugebauer & Annette Pattloch, 2017. "Digital Business Leadership," Springer Books, Springer, number 978-3-658-11914-0, January.
    Full references (including those not matched with items on IDEAS)

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    Book Chapters

    The following chapters of this book are listed in IDEAS

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