A categorization of decentralized autonomous organizations: The case of the Aragon platform

dc.contributor.authorPeña-Calvín, Andea
dc.contributor.authorSaldivar Galli, Jorge Augusto
dc.contributor.authorArroyo Gallardo, Javier
dc.contributor.authorHassan Collado, Samer
dc.contributor.editorIEEE
dc.date.accessioned2024-05-08T16:45:02Z
dc.date.available2024-05-08T16:45:02Z
dc.date.issued2023
dc.description2023 Acuerdos transformativos CRUE
dc.description.abstractThe advent of blockchain technology has paved the way for numerous innovations in online governance, with decentralized autonomous organizations (DAOs) emerging as a prominent development, often referred to as “digital jurisdictions.” Despite experiencing remarkable growth, currently boasting nearly 7M users and $ 18 billion in assets, DAOs remain relatively underexplored in the existing literature, particularly from an empirical perspective. This study presents a comprehensive framework comprising 15 dimensions to categorize DAOs based on their operational domain, purpose, scope, voting process, and utilization of crypto-tokens. By applying this categorization schema to 40 DAO communities hosted on the Aragon platform, encompassing over 423 000 participants and managing treasuries worth $ 960M, we shed light on the prevailing characteristics of these DAOs. Contrary to assertions made by blockchain enthusiasts, our analysis reveals that DAOs predominantly operate in financial and technological domains, primarily offering blockchain-based services. Additionally, our investigation into their governance structure exposes limitations in terms of democratic participation, as decision-making power typically correlates with the number of tokens owned by the voter, resembling plutocracies rather than true democracies. We believe these findings will facilitate researchers’ comprehension of this innovative form of governance and aid practitioners in designing future DAOs with greater effectiveness. Furthermore, our analysis can be replicated on other platforms or at different time periods to validate and contrast our conclusions.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.fundingtypeAPC financiada por la UCM
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Research Council ERC-2017-STG
dc.description.sponsorshipSpanish Ministry of Science and Innovation
dc.description.statuspub
dc.identifier.doi10.1109/TCSS.2023.3299254
dc.identifier.officialurlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10217072
dc.identifier.urihttps://hdl.handle.net/20.500.14352/103827
dc.journal.titleIEEE Transactions on Computational Social Systems
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDProject P2P Models Grant 759207
dc.relation.projectIDProject DAO Applications Grant PID2021-127956OB-I00
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordAragon
dc.subject.keywordArchetypes
dc.subject.keywordBlockchain
dc.subject.keywordCryptocurrencies
dc.subject.keywordDecentralized autonomous organizations (DAOs)
dc.subject.keywordGovernance
dc.subject.keywordOnline communities
dc.subject.keywordTokens
dc.subject.keywordVoting system
dc.subject.keywordWeb3
dc.subject.ucmInformática (Informática)
dc.subject.unesco33 Ciencias Tecnológicas
dc.titleA categorization of decentralized autonomous organizations: The case of the Aragon platform
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublicatione9b4ff73-f404-4de3-bfca-cb6b88390588
relation.isAuthorOfPublication4776976f-8d88-4992-bc6d-eea957d11041
relation.isAuthorOfPublication9f388b00-c34e-44d5-ae6e-895967040157
relation.isAuthorOfPublication.latestForDiscoverye9b4ff73-f404-4de3-bfca-cb6b88390588

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
A_Categorization_of_Decentralized_Autonomous_Organizations_The_Case_of_the_Aragon_Platform.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format

Collections