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On the Geographic Allocation of Open Source Software Activities

Author

Listed:
  • Sebastian von Engelhardt

    (Department of Economics, Friedrich-Schiller-University Jena, Jena, Germany)

  • Andreas Freytag

    (Department of Economics, Friedrich-Schiller-University Jena, Jena, Germany)

  • Christoph Schulz

    (Department of Business Service and Infrastructure, Carl Zeiss AG, Jena, Germany)

Abstract

This article contributes to research on the geographic origin of open source software (OSS) developers by analyzing the geographic allocation of active OSS developers and OSS activities. Based on data from the SourceForge Research Data Archive, the authors exploit information about developers’ IP address, email address, and indicated time-zone. This enables them to assign 94% of all registered users in 2006. As proxy for activity the authors use information about the number of posted messages. Thus they provide a detailed picture of the world-wide allocation of OSS activities. Such country data about the supply-side of OSS is a valuable stock for both cross-country studies on OSS and country-specific research and policy advice.

Suggested Citation

  • Sebastian von Engelhardt & Andreas Freytag & Christoph Schulz, 2013. "On the Geographic Allocation of Open Source Software Activities," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 4(2), pages 25-39, April.
    • Handle: RePEc:igg:jide00:v:4:y:2013:i:2:p:25-39
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    References listed on IDEAS

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    1. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
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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

    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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