Decentralized Autonomous Organizations (DAOs) are revolutionizing governance by leveraging blockchain and Distributed Ledger Technologies (DLTs) to enable decentralized decision-making. Prominent in areas like decentralized finance (DeFi), venture capital, and digital art, DAOs offer transparent, democratic resource management. However, their diverse structures and associated challenges remain underexplored, necessitating a comprehensive taxonomy to systematically categorize and analyze their attributes.
This research aims to develop a DAO taxonomy that classifies DAOs based on their models, operational frameworks, and technological attributes. The taxonomy will capture key characteristics such as governance structures, community engagement, incentive mechanisms, and use cases providing a structured framework for evaluating DAOs' opportunities and limitations.