An Interdisciplinary Survey on Information Flows in Supply Chains-Reference-Cited by-同舟云学术

An Interdisciplinary Survey on Information Flows in Supply Chains

Published:2023-09-14 Issue:2 Volume:56 Page:1-38
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Pennekamp Jan¹^ORCID,Matzutt Roman¹^ORCID,Klinkmüller Christopher²^ORCID,Bader Lennart³^ORCID,Serror Martin³^ORCID,Wagner Eric⁴^ORCID,Malik Sidra⁵^ORCID,Spiß Maria⁶^ORCID,Rahn Jessica⁶^ORCID,Gürpinar Tan⁷^ORCID,Vlad Eduard¹^ORCID,Leemans Sander J. J.¹^ORCID,Kanhere Salil S.⁸^ORCID,Stich Volker⁶^ORCID,Wehrle Klaus¹^ORCID

Affiliation:

1. RWTH Aachen University, Germany

2. BPMotion, Australia

3. Fraunhofer FKIE, Germany

4. Fraunhofer FKIE, Germany and RWTH Aachen University, Germany

5. Data61 CSIRO, Australia

6. Institute for Industrial Management at RWTH Aachen University, Germany

7. Quinnipiac University, USA and Fraunhofer IML, Germany

8. University of New South Wales, Australia

Abstract

Supply chains form the backbone of modern economies and therefore require reliable information flows. In practice, however, supply chains face severe technical challenges, especially regarding security and privacy. In this work, we consolidate studies from supply chain management, information systems, and computer science from 2010–2021 in an interdisciplinary meta-survey to make this topic holistically accessible to interdisciplinary research. In particular, we identify a significant potential for computer scientists to remedy technical challenges and improve the robustness of information flows. We subsequently present a concise information flow-focused taxonomy for supply chains before discussing future research directions to provide possible entry points.

Funder

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy -- EXC-2023 Internet of Production

Alexander von Humboldt (AvH) Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3606693

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