Information sharing and multi-tier supply chain management of SMEs in the context of Industry 4.0

Winter M, Dopler S, Müller JM, Zeisler A (2022)


Publication Type: Conference contribution

Publication year: 2022

Journal

Publisher: Elsevier B.V.

Book Volume: 217

Pages Range: 1378-1385

Conference Proceedings Title: Procedia Computer Science

Event location: Linz, AUT

DOI: 10.1016/j.procs.2022.12.336

Abstract

This paper investigates the transformation of information sharing and multi-tier supply chain management (MSCM) from the perspective of small and medium-sized enterprises (SMEs) in the context of Industry 4.0. SMEs are typically sharing less information digitally, are less active in conducting MSCM, but must be integrated in digital supplier networks to achieve supply chain transparency or traceability. For this purpose, this paper empirically analyzes SMEs from the manufacturing industry in Austria and Germany are investigated regarding information sharing and MSCM. The responses are analyzed to test three hypotheses, using 81 replies from manufacturing SMEs in Austria and Germany. The three hypotheses investigate the upstream and downstream MSCM practices of SMEs as well as which kind of information is shared with and by SMEs. The results help to understand and reveal potential barriers for information sharing besides technical possibilities to SMEs in order to be actively involved in MSCM.

Involved external institutions

How to cite

APA:

Winter, M., Dopler, S., Müller, J.M., & Zeisler, A. (2022). Information sharing and multi-tier supply chain management of SMEs in the context of Industry 4.0. In Francesco Longo, Michael Affenzeller, Antonio Padovano, Weiming Shen (Eds.), Procedia Computer Science (pp. 1378-1385). Linz, AUT: Elsevier B.V..

MLA:

Winter, Matthias, et al. "Information sharing and multi-tier supply chain management of SMEs in the context of Industry 4.0." Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2022, Linz, AUT Ed. Francesco Longo, Michael Affenzeller, Antonio Padovano, Weiming Shen, Elsevier B.V., 2022. 1378-1385.

BibTeX: Download