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
Proceedings: ICIS 2018 Proceedings
Conference details: 39th International Conference of Information Systems 2018, San Francisco, USA, 13-16 December, 2018
Publisher / Ed. Institution : Association for Information Systems
Issue Date: 2018
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Abstract)
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.
Departement: School of Management and Law
Organisational Unit: Center for Enterprise Development (ZUE)
Publication type: Conference Paper
DOI : 10.5167/uzh-157909
ISBN: 978-0-9966831-7-3
URI: https://aisel.aisnet.org/icis2018/economics/Presentations/6/
Appears in Collections:Publikationen School of Management and Law

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