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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Incentivizing Data Quality in Blockchains for Inter-Organizational Networks – Learning from the Digital Car Dossier |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Event Title | International Conference of Information Systems (ICIS 2018) |
| Event Type | conference |
| Event Location | San Francisco, USA |
| Event Start Date | December 12 - 2018 |
| Event End Date | December 16 - 2018 |
| Place of Publication | San Francisco, USA |
| Publisher | ICIS |
| Abstract Text | Recent research reports the need for consistent incentives in blockchain-based systems. In this study, we investigate how incentives for a blockchain-based inter-organizational network should be designed to ensure a high quality of data, exchanged and stored within the network. For this, we use two complementary methodological approaches: an Action Design Research approach in combination with agent-based modelling, and demonstrate, through the example of a real-world blockchain project, how such an incentive system may be modelled. The proposed incentive system features a rating mechanism influenced by measures of data correction. We evaluate the incentive system in a simulation to show how effective the system is in terms of sustaining a high quality of data. Thus, the paper contributes to our understanding of incentives in inter- organizational settings and, more broadly, to our understanding of incentive mechanisms in blockchain economy. |
| Free access at | Official URL |
| Official URL | https://aisel.aisnet.org/icis2018/economics/Presentations/6/ |
| Other Identification Number | merlin-id:16911 |
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