Token-Centric Work Practices in Fluid Organizations: The Cases of Yearn and MakerDAO

Nina-Birte Schirrmacher, Johannes Rude Jensen, Michel Avital

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


An emerging type of organization challenges the assumptions of what an organization is and how actors work: fluid organizations are characterized by continually changing templates of boundaries, decision-making, and task and role allocation. Increasingly, fluid organizations form around digital tokens, which resemble common shares in a corporation. In this study, we draw on the theoretical lens of practices to explore how the use of tokens shapes work in fluid organizations. We conduct a netnography among actors of two token-issuing fluid organizations in the decentralized finance sector. We identify token-centric practices that (i) leave actors striving toward a goal, giving rise to flexibility, and (ii) are institutionalized, giving rise to a structure. However, these practices also evoke tensions that the actors seek to continuously mitigate through action on a continuum of solutions to emerging problems. The findings contribute to the emerging literature on work in fluid organizations.
TitelProceedings of the 42nd International Conference on Information Systems (ICIS)
RedaktørerAnitesh Barua, Ryan Wright, Atreyi Kankanhalli, Xitong Li, Shaila Miranda
Antal sider17
UdgivelsesstedAtlanta, GA
ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
ISBN (Elektronisk)9781733632591
StatusUdgivet - 2021
BegivenhedThe 42nd International Conference on Information Systems: ICIS 2021: Building Sustainability and Resilience with IS: A Call for Action - Austin, USA
Varighed: 12 dec. 202115 dec. 2021
Konferencens nummer: 42


KonferenceThe 42nd International Conference on Information Systems: ICIS 2021
NavnProceedings of the International Conference on Information Systems


  • Work practices
  • Fluid organization
  • Tokenization
  • Decentralized finance
  • Netnography
  • Trace data