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dc.contributor.advisorAlon, Ilan
dc.contributor.authorBerthelsen, Andreas Sauge
dc.contributor.authorBjellerås, Espen
dc.date.accessioned2023-07-27T16:23:14Z
dc.date.available2023-07-27T16:23:14Z
dc.date.issued2023
dc.identifierno.uia:inspera:143804064:35492471
dc.identifier.urihttps://hdl.handle.net/11250/3081668
dc.description.abstractAbstract Purpose: This paper aims to identify best practices within the emerging field of DAO venture capital landscape, which has received limited attention in previous literature. The study seeks to provide a comprehensive framework of best practices by employing a mixed-methods approach. The relevance of this study lies in filling several research gaps in the field and providing valuable insights to ensure long-term growth and success within the DAO VC industry. Design/methodology/approach: The study uses bibliometric analysis, content analysis, and systematic review to identify best practices. Firstly, the bibliometric analysis contains 57 articles retrieved from the Scopus database and shows the most influential contributors and the intellectual structure in the field through citation analysis, bibliographic coupling, and keyword co-occurrence analysis. Secondly, the content analysis gives a comprehensive understanding of key themes and trends in the literature. Finally, we executed a systematic review of ten DAO VC whitepapers to analyze existing practices. Findings: The analysis revealed ten best practices within the DAO VC landscape: registration, permissioned, token-based voting system, staking, separating strategic and operational votes, adjustment for voting duration, adaptive quorum system with various consensus thresholds, ragequit, organizational support structure, and components to include in a whitepaper. MetaCartel Ventures and New Order DAO were found to be most aligned with our framework. The identified best practices can be implemented as a benchmarking tool to enhance DAO VC performance, attracting investors, and facilitate mass adoption. Originality/value: This study provides a comprehensive analysis of DAO VC best practices, providing insight for future research directions, such as the optimal decentralization threshold and best practices for tokenomics structures. This paper´s value lies in providing valuable insights into the unexplored DAO VC practices, contributing to a thorough understanding of the field, and paving the way for future research. Keywords: DAO; Decentralized Autonomous Organizations; Venture Capital; DAO VC; Smart contracts; Blockchain; Bibliometrics; Systematic review; Whitepaper.
dc.description.abstract
dc.language
dc.publisherUniversity of Agder
dc.titleBest Practices in Decentralized Autonomous Organization (DAO) Venture Capital: A Bibliometric Analysis and Systematic Review
dc.typeMaster thesis


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