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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
  • Liudmila Zavolokina
  • Florian Spychiger
  • Claudio Tessone
  • Gerhard Schwabe
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
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.
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Other Identification Number merlin-id:16911
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