IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v33y2023i1d10.1007_s12525-023-00659-y.html
   My bibliography  Save this article

Understanding decentralized autonomous organizations from the inside

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-023-00659-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12525-023-00659-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saurabh, Kumar & Rani, Neelam & Upadhyay, Parijat, 2024. "Towards novel blockchain decentralised autonomous organisation (DAO) led corporate governance framework," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    2. Arthur Schram & Boris Van Leeuwen & Theo Offerman, 2013. "Superstars Need Social Benefits: An Experiment on Network Formation," Working Papers 1306, Departament Empresa, Universitat Autònoma de Barcelona, revised Jul 2013.
    3. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2023. "Foreign Exchange Intervention: A New Database," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(4), pages 852-884, December.
    4. Li, Sen & Chen, Yan, 2024. "Governing decentralized autonomous organizations as digital commons," Journal of Business Venturing Insights, Elsevier, vol. 21(C).
    5. Li Tang & Jennifer Kuzma & Xi Zhang & Xinyu Song & Yin Li & Hongxu Liu & Guangyuan Hu, 2023. "Synthetic biology and governance research in China: a 40-year evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5293-5310, September.
    6. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
    7. Tara Merk, 2024. "Why to DAO: a narrative analysis of the drivers of tokenized Exit to Community," Papers 2407.14327, arXiv.org.
    8. Boris van Leeuwen & Theo Offerman & Arthur Schram, 2020. "Competition for Status Creates Superstars: an Experiment on Public Good Provision and Network Formation," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 666-707.
    9. Alex Luscombe & Kevin Dick & Kevin Walby, 2022. "Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1023-1044, June.
    10. Ruo-Yu Liang & Wei Guo & Ling-Hao Zhang & Lei Wang, 2019. "Investigating Sustained Participation in Open Design Community in China: The Antecedents of User Loyalty," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    11. Alawadi, Asma & Kakabadse, Nada & Kakabadse, Andrew & Zuckerbraun, Sam, 2024. "Decentralized autonomous organizations (DAOs): Stewardship talks but agency walks," Journal of Business Research, Elsevier, vol. 178(C).
    12. Zaggl, Michael A., 2017. "Manipulation of explicit reputation in innovation and knowledge exchange communities: The example of referencing in science," Research Policy, Elsevier, vol. 46(5), pages 970-983.
    13. Andreas Rehs, 2020. "A structural topic model approach to scientific reorientation of economics and chemistry after German reunification," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1229-1251, November.
    14. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    15. Ramon Casadesus-Masanell & Gastón Llanes, 2011. "Mixed Source," Management Science, INFORMS, vol. 57(7), pages 1212-1230, July.
    16. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
    17. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
    18. Peter Grajzl & Cindy Irby, 2019. "Reflections on study abroad: a computational linguistics approach," Journal of Computational Social Science, Springer, vol. 2(2), pages 151-181, July.
    19. Xieling Chen & Juan Chen & Gary Cheng & Tao Gong, 2020. "Topics and trends in artificial intelligence assisted human brain research," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-27, April.
    20. Lei Xu & Tingting Nian & Luís Cabral, 2020. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Management Science, INFORMS, vol. 66(2), pages 587-604, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elmark:v:33:y:2023:i:1:d:10.1007_s12525-023-00659-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.