The Dynamics of Governing Enterprise Blockchain Ecosystems
Birgitte van Haaren-van Duijn,
Jaime Bonnín Roca,
Annie Chen,
A. Georges L. Romme and
Mathieu Weggeman
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Birgitte van Haaren-van Duijn: Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Jaime Bonnín Roca: Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Annie Chen: Faculty of Technology Policy & Management, Delft University of Technology, 2628 BX Delft, The Netherlands
A. Georges L. Romme: Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Mathieu Weggeman: Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Administrative Sciences, 2022, vol. 12, issue 3, 1-21
Abstract:
The aim of this paper is to analyze how the governance of an enterprise blockchain ecosystem changes as it matures and increases in size. A review of the literature serves to identify five behavioral drivers of governance, which appear to affect the long-term viability of a blockchain ecosystem: access rights, decision rights, incentives, accountability, and conflict resolution. We subsequently report the findings from a comparative case study of how three large blockchain ecosystems implemented various governance mechanisms to exploit and modify the five behavioral drivers over time. Based on twenty-six interviews and approximately 200 h of participant observations, we propose an analytical framework that consists of three distinctive stages in the life cycle of a blockchain ecosystem. Each stage is characterized by an intricate relationship between off-chain and on-chain governance mechanisms. Based on these findings, various recommendations are provided to increase the long-term viability of blockchain ecosystems.
Keywords: blockchain; governance; dynamics; ecosystems; case study; behavioral drivers; consensus mechanisms (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jadmsc:v:12:y:2022:i:3:p:86-:d:866804
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