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This paper investigates whether Bitcoin can be regarded as a decentralized autonomous organization (DAO), what insights it may offer for the broader DAO ecosystem, and how Bitcoin governance can be improved. First, a quantitative literature analysis reveals that Bitcoin is increasingly overlooked in DAO research, even though early works often classified it as a DAO. Next, the paper applies a DAO viability framework - centering on collective intelligence, digital democracy, and adaptation - to examine Bitcoin's organizational and governance mechanisms. Findings suggest that Bitcoin instantitates key DAO principles by enabling open participation, and employing decentralized decision-making through Bitcoin Improvement Proposals (BIPs), miner signaling, and user-activated soft forks. However, this governance carries potential risks, including reduced clarity on who truly 'votes' due to the concentration of economic power among large stakeholders. The paper concludes by highlighting opportunities to refine Bitcoin's deliberation process and reflecting on broader implications for DAO design, such as the absence of a legal entity. In doing so, it underscores Bitcoin's continued relevance as an archetype for decentralized governance, offering important findings for future DAO implementations.
FOS: Computer and information sciences, Computer Science - Computers and Society, Emerging Technologies (cs.ET), Computers and Society (cs.CY), Computer Science - Emerging Technologies
FOS: Computer and information sciences, Computer Science - Computers and Society, Emerging Technologies (cs.ET), Computers and Society (cs.CY), Computer Science - Emerging Technologies
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |