Incentivizing data quality in blockchains for inter-organizational networks : learning from the digital car dossier

Zavolokina, Liudmila; Spychiger, Florian; Tessone, Claudio; Schwabe, Gerhard

doi:10.5167/uzh-157909

Publication type:	Conference paper
Type of review:	Peer review (abstract)
Title:	Incentivizing data quality in blockchains for inter-organizational networks : learning from the digital car dossier
Authors:	Zavolokina, Liudmila Spychiger, Florian Tessone, Claudio Schwabe, Gerhard
DOI:	10.5167/uzh-157909
Proceedings:	ICIS 2018 Proceedings
Conference details:	39th International Conference of Information Systems 2018, San Francisco, USA, 13-16 December 2018
Issue Date:	2018
Publisher / Ed. Institution:	Association for Information Systems
ISBN:	978-0-9966831-7-3
Language:	English
Subjects:	Action design research; Blockchain; Data quality
Subject (DDC):	658.4: Executive Management
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.
URI:	https://aisel.aisnet.org/icis2018/economics/Presentations/6/ https://digitalcollection.zhaw.ch/handle/11475/17045
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Management and Law
Organisational Unit:	Institute for Organizational Viability (IOV)
Appears in collections:	Publikationen School of Management and Law

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Zavolokina, L., Spychiger, F., Tessone, C., & Schwabe, G. (2018). Incentivizing data quality in blockchains for inter-organizational networks : learning from the digital car dossier. ICIS 2018 Proceedings. https://doi.org/10.5167/uzh-157909

Zavolokina, L. et al. (2018) ‘Incentivizing data quality in blockchains for inter-organizational networks : learning from the digital car dossier’, in ICIS 2018 Proceedings. Association for Information Systems. Available at: https://doi.org/10.5167/uzh-157909.

L. Zavolokina, F. Spychiger, C. Tessone, and G. Schwabe, “Incentivizing data quality in blockchains for inter-organizational networks : learning from the digital car dossier,” in ICIS 2018 Proceedings, 2018. doi: 10.5167/uzh-157909.

ZAVOLOKINA, Liudmila, Florian SPYCHIGER, Claudio TESSONE und Gerhard SCHWABE, 2018. Incentivizing data quality in blockchains for inter-organizational networks : learning from the digital car dossier. In: ICIS 2018 Proceedings [online]. Conference paper. Association for Information Systems. 2018. ISBN 978-0-9966831-7-3. Verfügbar unter: https://aisel.aisnet.org/icis2018/economics/Presentations/6/

Zavolokina, Liudmila, Florian Spychiger, Claudio Tessone, and Gerhard Schwabe. 2018. “Incentivizing Data Quality in Blockchains for Inter-Organizational Networks : Learning from the Digital Car Dossier.” Conference paper. In ICIS 2018 Proceedings. Association for Information Systems. https://doi.org/10.5167/uzh-157909.

Zavolokina, Liudmila, et al. “Incentivizing Data Quality in Blockchains for Inter-Organizational Networks : Learning from the Digital Car Dossier.” ICIS 2018 Proceedings, Association for Information Systems, 2018, https://doi.org/10.5167/uzh-157909.