Developing Dimensions and Indicators to Measure Decentralization in Decentralized Autonomous Organizations

Hyejin Park, Ivan Ureta and Boyoung Kim ()
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Hyejin Park: Seoul Business School, aSSIST University, Seoul 03767, Republic of Korea
Ivan Ureta: Department of Business Economics, Health and Social Care, The University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland
Boyoung Kim: Seoul Business School, aSSIST University, Seoul 03767, Republic of Korea

Administrative Sciences, 2023, vol. 13, issue 11, 1-15

Abstract: Decentralization holds a significant role in the context of decentralized autonomous organizations (DAOs), with its nature being not a fixed value but a comparative spectrum. Prior research investigating the measurement of decentralization in nations’ governance system provides a foundation for our current study. This research aims to integrate these insights to define dimensions and indicators, tailored explicitly for assessing decentralization levels within DAOs. Then, the article undertakes an examination of the suitability of traditional decentralization measurement approaches within the unique DAO context, employing confirmatory factor analysis (CFA) as our analytical tool based on a total of 44 DAOs. Hence, the results suggest that DAOs have three dimensions for measuring decentralization, ‘political decentralization as a participatory engagement’, ‘economic decentralization as a resource distribution’, and ‘administrative decentralization as the self-governing execution of decisions’. By substantiating the applicability of established decentralization measurement frameworks within the unique context of DAOs, the findings not only enhance the understanding of this emergent governance paradigm but also provide DAO practitioners, policymakers, and researchers with invaluable insights.

Keywords: decentralization; decentralized autonomous organization; confirmatory factor analysis; innovative organization; decentralized technologies (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2023
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