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Incentivizing Data Quality in Blockchains for Inter-Organizational Networks – Learning from the Digital Car Dossier


Zavolokina, Liudmila; Spychiger, Florian; Tessone, Claudio; Schwabe, Gerhard (2018). Incentivizing Data Quality in Blockchains for Inter-Organizational Networks – Learning from the Digital Car Dossier. In: International Conference of Information Systems (ICIS 2018), San Francisco, USA, 12 December 2018 - 16 December 2018.

Abstract

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.

Abstract

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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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
08 Research Priority Programs > Social Networks
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:16 December 2018
Deposited On:13 Nov 2018 17:26
Last Modified:17 Sep 2019 19:42
Publisher:s.n.
OA Status:Green
Official URL:https://aisel.aisnet.org/icis2018/economics/Presentations/6/
Other Identification Number:merlin-id:16911

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