Challenges & Opportunities Concerning Corporate Formation, Nonprofit Status, & Governance for Open Source Projects
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Early governance models, such as benevolent dictator or consensus-based meritocracies, depended on informal social contracts, technical reputation, and sustained contribution instead of codified policy.
“Early governance models, such as the benevolent dictator paradigm or consensus-based meritocracies, depended on informal social contracts, technical reputation, and sustained contribution instead of codified policy [4, 30, 42].”
From Governance in Practice: How Open Source Projects Define and Document Roles (2026) · cites this paper as [42]
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Governance in Practice: How Open Source Projects Define and Document Roles
Oliveira, P., Conte, T., Gerosa, M., & Steinmacher, I. (2026) · Proceedings of the 19th International Conference on Cooperative and Human Aspects of Software Engineering · doi:10.1145/3794860.3794911 · Cited by 2 · see citing works
- Authors
- Ritvo, D., Hessekiel, K., & Bavitz, C.
- Affiliations
- Harvard University (US)
- Corresponding author
- Ritvo, Dalia
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2017
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W3122195828
- Cited by
- 2
- References
- 0
- Citations by year
- 2026: 1 · 2023: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
- Social Sciences › Sociology and Political Science › Nonprofit Sector and Volunteering
- Social Sciences › Political Science and International Relations › Intellectual Property Rights and Media
- Keywords
- open source projects, corporate formation, nonprofit status, corporate governance, legal entity formation, nonprofit corporations, open source software governance
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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