Applying Distributed Ledger Concepts to a Swiss Regional Label Ecosystem

Saša Malešević, Michael Lustenberger and Florian Spychiger
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Saša Malešević: School of Management and Law, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland
Michael Lustenberger: School of Management and Law, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland
Florian Spychiger: School of Management and Law, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland

Logistics, 2020, vol. 4, issue 4, 1-18

Abstract: Improving current supply chains by using distributed ledger technology (DLT) has been a highly researched topic during the last years. Currently, there are numerous articles elaborating on how such technologies can theoretically improve supply chains. However, case studies of such concepts and their economic value are scarce. In order to bridge this gap, we collaborated with a regional label company to clarify how a distributed ledger technology would benefit their ecosystem. This work answers the question of how such a prototype would look and whether it adds value. By following design science research practices, we design two artifacts based on requirements gathered in 14 interviews and discuss the artifacts’ elements within an evaluation panel. Our findings show that a distributed ledger application for the regional label ecosystem should have an open and decentralized architecture giving all participants full access to the shared data while still providing security and privacy for sensitive data. Additionally, data capturing should be simple. However, such an application does not add sufficient economic value and is currently of no practical interest in the regional label ecosystem as the expenditure likely exceeds the benefit.

Keywords: supply chain; blockchain; distributed ledger; regional label ecosystem; traceability (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2020
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