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Understanding decentralized autonomous organizations from the inside

Author

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  • Nils Augustin

    (University of Innsbruck)

  • Andreas Eckhardt

    (University of Innsbruck)

  • Alexander Willem Jong

    (University of Innsbruck)

Abstract

Blockchain technology is argued to drastically change the way we operate within an organizational context, with decentralized autonomous organizations (DAOs) representing a first manifestation of this ongoing trend. DAOs are characterized by an online community that builds the organization’s backbone by providing knowledge and human resources in a transparent, virtual manner, as well as the use of blockchain technology to coordinate their endeavor. Nevertheless, current research highlights the conceptual ambiguity of this emerging phenomenon, leading to potential issues for practitioners and researchers. To provide further clarity on the phenomenon, we study DAOs through the perspective of their members with a two-staged approach by combining elements of a netnographic approach and structural topic modeling. Our findings highlight several contextual features surrounding DAOs, such as their members’ underlying beliefs and views, helping to embed DAOs in existing research streams.

Suggested Citation

  • Nils Augustin & Andreas Eckhardt & Alexander Willem Jong, 2023. "Understanding decentralized autonomous organizations from the inside," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-14, December.
    • Handle: RePEc:spr:elmark:v:33:y:2023:i:1:d:10.1007_s12525-023-00659-y
    DOI: 10.1007/s12525-023-00659-y
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    References listed on IDEAS

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    1. Santana, Carlos & Albareda, Laura, 2022. "Blockchain and the emergence of Decentralized Autonomous Organizations (DAOs): An integrative model and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Hassan, Samer & De Filippi, Primavera, 2021. "Decentralized Autonomous Organization," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(2), pages 1-10.
    3. Ying-Ying Hsieh & Jean-Philippe Vergne & Philip Anderson & Karim Lakhani & Markus Reitzig, 2018. "Bitcoin and the rise of decentralized autonomous organizations," Journal of Organization Design, Springer;Organizational Design Community, vol. 7(1), pages 1-16, December.
    4. Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi, 2016. "A Model of Text for Experimentation in the Social Sciences," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 988-1003, July.
    5. Georg von Krogh & Eric von Hippel, 2006. "The Promise of Research on Open Source Software," Management Science, INFORMS, vol. 52(7), pages 975-983, July.
    6. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    7. Cristiano Bellavitis & Christian Fisch & Paul P. Momtaz, 2023. "The rise of decentralized autonomous organizations (DAOs): a first empirical glimpse," Venture Capital, Taylor & Francis Journals, vol. 25(2), pages 187-203, April.
    8. Nicholas Berente & Stefan Seidel & Hani Safadi, 2019. "Research Commentary—Data-Driven Computationally Intensive Theory Development," Service Science, INFORMS, vol. 30(1), pages 50-64, March.
    9. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
    10. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    11. Monideepa Tarafdar & Deepa Kajal Ray, 2021. "Role of Social Media in Social Protest Cycles: A Sociomaterial Examination," Information Systems Research, INFORMS, vol. 32(3), pages 1066-1090, September.
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