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LISS2019

Proceedings of the 9th International Conference on Logistics, Informatics and Service Sciences

  • Conference proceedings
  • © 2020

Overview

  • Provides insights into solving a range of problems in logistics, informatics, service operations, and service science
  • Highlights research in such areas as logistics, supply chain, information management, and service science
  • Discusses key issues, reviews emerging trends, and shares the latest insights

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Table of contents (68 papers)

Keywords

About this book

This book focuses on AI and data-driven technical and management innovations in logistics, informatics and services. The respective papers analyze in detail the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The book gathers the outcomes of the “9th International Conference on Logistics, Informatics and Service Sciences,” which was held at the University of Maryland, USA.

Editors and Affiliations

  • School of Economics and Management, Beijing Jiaotong University, Beijing, China

    Juliang Zhang, Runtong Zhang, Guowei Hua, Xiaopu Shang

  • Logistics, Business and Public Policy, University of Maryland, Baltimore, Baltimore, USA

    Martin Dresner

Bibliographic Information

  • Book Title: LISS2019

  • Book Subtitle: Proceedings of the 9th International Conference on Logistics, Informatics and Service Sciences

  • Editors: Juliang Zhang, Martin Dresner, Runtong Zhang, Guowei Hua, Xiaopu Shang

  • DOI: https://doi.org/10.1007/978-981-15-5682-1

  • Publisher: Springer Singapore

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-15-5681-4Published: 10 July 2020

  • Softcover ISBN: 978-981-15-5684-5Published: 10 July 2021

  • eBook ISBN: 978-981-15-5682-1Published: 10 July 2020

  • Edition Number: 1

  • Number of Pages: XVI, 987

  • Number of Illustrations: 113 b/w illustrations, 210 illustrations in colour

  • Topics: Management, Big Data

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