Collaboration Through Open Superposition: A Theory of the Open Source Way1
Abstract
This paper develops and illustrates the theory of collaboration through open superposition: the process of depositing motivationally independent layers of work on top of each other over time. The theory is developed in a study of community-based free and open source software (FLOSS) development, through a research arc of discovery (participant observation), replication (two archival case studies), and theorization. The theory explains two key findings: (1) the overwhelming majority of work is accomplished with only a single programmer working on any one task, and (2) tasks that appear too large for any one individual are more likely to be deferred until they are easier rather than being undertaken through structured team work. Moreover, the theory explains how working through open superposition can lead to the discovery of a work breakdown that results in complex, functionally interdependent, work being accomplished without crippling search costs. We identify a set of socio-technical contingencies under which collaboration through open superposition is likely to be effective, including characteristics of artifacts made from information as the objects being worked on. We demonstrate the usefulness of the theory by using it to analyze difficulties in learning from FLOSS in other domains of work and in the IS function of for-profit organizations.
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Coordination is often informal and decentralized in OSS settings, shaped by fluid team composition and voluntary participation.
“coordination is often informal and decentralized in OSS settings, shaped by fluid team composition and voluntary participation (Howison and Crowston 2014, Lindberg et al. 2016).”
From The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot  (2024) · cites this paper as Howison and Crowston 2014
Peripheral developers often participate intermittently in project activities.
“because peripheral developers often participate intermittently in project activities (Howison and Crowston 2014, Krishnamurthy et al. 2016)”
From The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot  (2024) · cites this paper as Howison and Crowston 2014
Core developers are more embedded in focal projects and maintain sustained involvement, while peripheral developers contribute more sporadically, leading to limited project familiarity.
“In the OSS community, core developers are more embedded in focal projects and maintain sustained involvement (Setia et al. 2012), while peripheral developers contribute more sporadically (Howison and Crowston 2014, Krishnamurthy et al. 2016), which leads to their limited level of project familiarity.”
From The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot  (2024) · cites this paper as Howison and Crowston 2014
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Beyond the organizational ‘container’: Conceptualizing 21st century sociotechnical work
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“On the other hand, peripheral developers often contribute to projects on an irregular or part-time basis (Bagozzi and Dholakia 2006, Howison and Crowston 2014).”
BackgroundMethodThe sustainability of open source commons
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Foster, D., & Germonprez, M. (2026) · Information Systems Journal · doi:10.1111/isj.70060
- Authors
- Howison, J., & Crowston, K.
- Affiliations
- The University of Texas at Austin (US)
- U.S. National Science Foundation (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2014-03-01
- Volume
- 38
- Issue
- 1
- Pages
- 29-50
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W24762504
- Cited by
- 175
- References
- 10
- Citations by year
- 2026: 18 · 2025: 11 · 2024: 6 · 2023: 4 · 2022: 12 · 2021: 16 · 2020: 14 · 2019: 20 · 2018: 24 · 2017: 19 · 2016: 15 · 2015: 9 · 2014: 6
- FWCI
- 24.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Communication › Knowledge Management and Sharing
- Keywords
- collaboration, free and open source software, task delegation, search costs, information artifacts, organizational learning, information systems function
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