Navigating the Research Landscape of Decentralized Autonomous Organizations: A Research Note and Agenda
Christian Ziegler, Quinn DuPont

TL;DR
This paper provides a comprehensive overview of DAO research, highlighting key challenges, data issues, and future directions to guide scholars in conducting rigorous studies on decentralized autonomous organizations.
Contribution
It offers a detailed research agenda addressing data reliability, governance complexities, and methodological challenges in studying DAOs, serving as a foundational guide for future research.
Findings
Identifies key data and governance challenges in DAO research.
Highlights issues like token pricing, treasury discrepancies, and Sybil attacks.
Proposes directions for rigorous and nuanced future studies.
Abstract
This note and agenda serve as a cause for thought for scholars interested in researching Decentralized Autonomous Organizations (DAOs), addressing both the opportunities and challenges posed by this phenomenon. It covers key aspects of data retrieval, data selection criteria, issues in data reliability and validity such as governance token pricing complexities, discrepancy in treasuries, Mainnet and Testnet data, understanding the variety of DAO types and proposal categories, airdrops affecting governance, and the Sybil problem. The agenda aims to equip scholars with the essential knowledge required to conduct nuanced and rigorous academic studies on DAOs by illuminating these various aspects and proposing directions for future research.
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Taxonomy
TopicsDigital Platforms and Economics · Auction Theory and Applications
