Blockchain Governance : A Dynamic View
Abstract
The governance of blockchain systems is unique due to its decentralized nature and automatically enforced rules and mechanisms. Moreover, blockchain governance is crucial in achieving success and sustainability. With this study, we aim to advance the theory of blockchain governance and support practitioners by defining blockchain governance from a holistic viewpoint and identifying its building blocks. As a result of a systematic literature review of 75 recent articles focusing on blockchain governance, we propose a dynamic model that deepens the researchers’ and practitioners’ understanding of blockchain governance. The conceptual model can serve as a reference framework and structured foundation for analyzing, discussing, and developing the governance of blockchain systems.
Main Authors
Format
Conferences
Conference paper
Published
2021
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202204272437Use this for linking
Parent publication ISBN
978-3-030-91982-5
Review status
Peer reviewed
ISSN
1865-1348
DOI
https://doi.org/10.1007/978-3-030-91983-2_6
Conference
International Conference on Software Business
Language
English
Published in
Lecture Notes in Business Information Processing
Is part of publication
Software Business : 12th International Conference, ICSOB 2021, Drammen, Norway, December 2–3, 2021, Proceedings
Citation
- Laatikainen, G., Li, M., & Abrahamsson, P. (2021). Blockchain Governance : A Dynamic View. In X. Wang, A. Martini, A. Nguyen-Duc, & V. Stray (Eds.), Software Business : 12th International Conference, ICSOB 2021, Drammen, Norway, December 2–3, 2021, Proceedings (pp. 66-80). Springer. Lecture Notes in Business Information Processing, 434. https://doi.org/10.1007/978-3-030-91983-2_6
License
Additional information about funding
This research has been conducted in the Security And Software Engineering Research Center (S^2 ERC, 2020–21) in the COOL-Appia and StrokeData projects funded by Business Finland.
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