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On the Geographic Allocation of Open Source Software Activities

Author

Listed:
  • Andreas Freytag

    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Sebastian von Engelhardt

    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Christoph Schulz

    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

Abstract
Open source software (OSS) is marked by free access to the software and its source code. OSS is developed by a 'community' consisting of thousands of contributors from all over the world. Some research was undertaken in order to analyze how global the OSS community actually is, i.e. analyze the geographic origin of OSS developers. But as members of the OSS community differ in their activity levels, information about the allocation of activities are of importance. Our paper contributes to this as we analyze not only the geographic origin of (active) developers but also the geographic allocation of OSS activities. The paper is based on data from the SourceForge research Data Archive, referring to 2006. We exploit information about the developers' IP address, email address and indicated time-zone. This enables us to properly assign 1.3 million OSS developers from SourceForge to their countries, that are 94% of all registered ones in 2006. In addition we have information about the number of posted messages which is a good proxy for activity of each developer. Thus we can provide a detailed picture of the world-wide allocation of open source activities. Such country data about the supply-side of OSS is a valuable stock for both, cross-country studies on OSS, as well as country-specific research and policy advice.

Suggested Citation

  • Andreas Freytag & Sebastian von Engelhardt & Christoph Schulz, 2010. "On the Geographic Allocation of Open Source Software Activities," Jena Economics Research Papers 2010-009, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2010-009
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    References listed on IDEAS

    as
    1. Josh Lerner, 2005. "The Scope of Open Source Licensing," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 21(1), pages 20-56, April.
    2. Eilhard, Jan, 2008. "Firms on SourceForge," MPRA Paper 7809, University Library of Munich, Germany.
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    4. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
    5. Fershtman, Chaim & Gandal, Neil, 2008. "Microstructure of Collaboration: The 'Social Network' of Open Source Software," CEPR Discussion Papers 6789, C.E.P.R. Discussion Papers.
    6. Justin Pappas Johnson, 2002. "Open Source Software: Private Provision of a Public Good," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(4), pages 637-662, December.
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    9. Giuri, Paola & Ploner, Matteo & Rullani, Francesco & Torrisi, Salvatore, 2010. "Skills, division of labor and performance in collective inventions: Evidence from open source software," International Journal of Industrial Organization, Elsevier, vol. 28(1), pages 54-68, January.
    10. von Krogh, Georg & Spaeth, Sebastian & Lakhani, Karim R., 2003. "Community, joining, and specialization in open source software innovation: a case study," Research Policy, Elsevier, vol. 32(7), pages 1217-1241, July.
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    13. Paul A. David & Francesco Rullani, 2008. "Dynamics of innovation in an “open source” collaboration environment: lurking, laboring, and launching FLOSS projects on SourceForge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 647-710, August.
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    Cited by:

    1. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
    2. Stephany, Fabian & Braesemann, Fabian & Graham, Mark, 2019. "Coding Together - Coding Alone: The Role of Trust in Collaborative Programming," SocArXiv 8rf2h, Center for Open Science.
    3. Knut Blind & Torben Schubert, 2024. "Estimating the GDP effect of Open Source Software and its complementarities with R&D and patents: evidence and policy implications," The Journal of Technology Transfer, Springer, vol. 49(2), pages 466-491, April.

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    More about this item

    Keywords

    Open Source Software; Geographical Location; Open Source Activities;
    All these keywords.

    JEL classification:

    • L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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