Distributed Ledger Technology for the systematic Investigation and Reduction of Information Asymmetry in Collaborative Networks

dc.contributor.author Schinle, Markus
dc.contributor.author Erler, Christina
dc.contributor.author Stork, Wilhelm
dc.date.accessioned 2020-01-04T08:16:58Z
dc.date.available 2020-01-04T08:16:58Z
dc.date.issued 2020-01-07
dc.description.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.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.651
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64393
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Blockchain Cases and Innovations
dc.subject blockchain
dc.subject business networks
dc.subject distributed ledger technology
dc.subject information asymmetry
dc.subject information value
dc.title Distributed Ledger Technology for the systematic Investigation and Reduction of Information Asymmetry in Collaborative Networks
dc.type Conference Paper
dc.type.dcmi Text
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