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PERSPECTIVE article
Front. Blockchain
Sec. Financial Blockchain
Volume 7 - 2024 |
doi: 10.3389/fbloc.2024.1426347
Time to DAO: An Attribute-based DAO Model Matrix Framework
Provisionally accepted- 1 Other, Hangzhou, Jiangsu Province, China
- 2 Other, Paris, France
Following the redistribution of powers in global business environment, there emerges an urgent need for organisations to adopt a more digitally native structure to cope the changes, while the rapid advancements in blockchain technologies bring attentions to decentralised autonomous organisations (DAOs). However, entrepreneurs face significant challenges in such transformation due to lack of a clear and applicable transformation matrix, especially for non-web3 native organisations. Current researches primarily focus on the legal aspects of DAO structures, leaving a gap in practical guidance of transformative strategies for entrepreneurs.In light of such, this paper introduces a new framework for DAO transformation based on organisations' principal attributes, providing a sophisticated yet clearer strategical approach to organisational digital transformation. The framework delineates six principal attributes and three DAO organisational models, offering an multi-dimensions approach to cope with the growing complexity in DAO adaption. Furthermore, the paper discusses specific use cases and evaluation methods, aiming to provide robust guidance for entrepreneurs and lay a solid foundation for future research. This streamlined framework promises significant impact by proposing a more business oriented perspective at DAO transformation, clarifying the challenges and benefits faced during the adoption, as well as fostering a more effective approach of implementation and provide an in-depth guideline to entrepreneurs, policymakers and future studies.
Keywords: DAO, framework, Organisational structure, Decentralised Autonomous Organisation, Business strateg
Received: 01 May 2024; Accepted: 04 Jul 2024.
Copyright: © 2024 Zhu and Forte. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lucian Zhu, Other, Hangzhou, Jiangsu Province, China
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