Distributed ledger technology for the systematic investigation and reduction of information asymmetry in collaborative networks

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Abstract

Costs, risks and inefficiencies in Collaborative Networks (CNs) resulting from information asymmetries have been discussed in the scientific community for years. In this work, supply chain networks, as common representative of CNs, are used as object of investigation. Therein, problems and requirements of interorganizational information exchange are elaborated as well as the potential role Distributed Ledger Technology (DLT) could play to address them. As major challenge, convincing all relevant network partners to resolve asymmetric information by sharing sensitive data is identified. To face this issue, the value of shared information is prioritized as a motivational aspect. Finally, we propose a search process to systematically assess the benefits of information sharing in collaborative networks. To coordinate and implement this process regarding the derived requirements of CNs we propose system components based on DLT design patterns.

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Schinle, M., Erler, C., & Stork, W. (2020). Distributed ledger technology for the systematic investigation and reduction of information asymmetry in collaborative networks. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2020-January, pp. 5288–5297). IEEE Computer Society. https://doi.org/10.24251/hicss.2020.651

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