The blind men and the elephant: mapping interdisciplinarity in research on decentralized autonomous organizations

Giorgia Sampò et al.

Journal of Organization Design2025https://doi.org/10.1007/s41469-025-00200-9article
AJG 2
Weight
0.50

What the paper says

Decentralized Autonomous Organizations (DAOs) are attracting interest from various disciplines, particularly business and economics, and computer science. However, much like the parable of the blind men and the elephant, where each observer sees only part of the phenomenon, DAO research has largely remained fragmented across disciplines, limiting a comprehensive understanding of the potential of DAOs. This paper investigates to which extent DAO scholarship has achieved meaningful interdisciplinary integration. We address this question through an analysis of knowledge flows between Business and Economics and Computer Science, using citation network analysis, topic modelling, and outlet analysis. We find that while DAOs generate vibrant interdisciplinary discourse, the interactions remain predominantly applied and case-driven, with limited theoretical integration. By mapping interdisciplinary exchanges, we highlight key gaps and opportunities for greater synthesis across fields. We argue that strengthening the alignment between organizational and technical insights is crucial for advancing DAO research and fostering a more cohesive interdisciplinary framework.

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https://doi.org/https://doi.org/10.1007/s41469-025-00200-9

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@article{giorgia2025,
  title        = {{The blind men and the elephant: mapping interdisciplinarity in research on decentralized autonomous organizations}},
  author       = {Giorgia Sampò et al.},
  journal      = {Journal of Organization Design},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s41469-025-00200-9},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.