Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel
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Open source contributors are 98% male (Henkel and Tins, 2004) and 96% male (Hertel et al., 2003).
“Henkel and Tins (2004) and Hertel et al , (2003) report, respectively, that open source contributors are 98% and 96% male.”
From Open Source Software: The New Intellectual Property Paradigm (2006) · cites this paper as Hertel et al , (2003)
Social psychology incentives and identification with the Linux community are poor predictors of how many hours members will work.
“Similarly, Hertel et al. (2003) find that social psychology incentives and identification with the Linux community are poor predictors of how many hours members will work.”
From Open Source Software: The New Intellectual Property Paradigm (2006) · cites this paper as Hertel et al. (2003)
43% of LINUX kernel developers sometimes or always receive salary for their work.
“Ghosh et al (2002) report that 54% of respondents were paid for open source work; Lakhani and Wolf (2005) report that 55% of respondents contributed code during work hours; and Hertel et al (2003) report that 43% of LINUX kernel developers sometimes or always receive salary for their work.”
From Open Source Software: The New Intellectual Property Paradigm (2006) · cites this paper as Hertel et al (2003)
Developers assess both expected benefits and costs they must incur for their decisions of OSS code contributions.
“According to this perspective, developers assess both expected benefits and costs they must incur for their decisions of OSS code contributions (Atkinson 1957, Hertel et al. 2003, Setia et al. 2012).”
From The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot  (2024) · cites this paper as Hertel et al. 2003
These results are consistent with our argument that AI pair programmers could increase developer coding participation by increasing the expected benefits and reducing the expected costs developers face when deciding whether to contribute.
“These results are consistent with our argument that AI pair programmers could increase developer coding participation by increasing the expected benefits and reducing the expected costs developers face when deciding whether to contribute (Atkinson 1957, Hertel et al. 2003, Setia et al. 2012, Wen et al. 2013).”
From The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot  (2024) · cites this paper as Hertel et al. 2003
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“According to the expectancy value models, contributors evaluate the expectancy of the outcomes and its value to determine if they would participate in certain software projects (Atkinson 1957, Hertel et al. 2003, Setia et al. 2012).”
- Authors
- Hertel, G., Niedner, S., & Herrmann, S.
- Affiliations
- Christian-Albrechts-Universität zu Kiel (DE)
- Corresponding author
- Hertel, Guido
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 32
- Issue
- 7
- Pages
- 1159-1177
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2044679885
- Cited by
- 1,262
- References
- 2
- Citations by year
- 2026: 20 · 2025: 16 · 2024: 12 · 2023: 23 · 2022: 20 · 2021: 37 · 2020: 33 · 2019: 42 · 2018: 58 · 2017: 37 · 2016: 75 · 2015: 67 · 2014: 85 · 2013: 77 · 2012: 81
- FWCI
- 141.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Research Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- 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
- developer motivation, open source software, Linux kernel, open source contributors, software development teams, team goals, self-efficacy
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