Open Source Software Production, Spontaneous Input, and Organizational Learning
AbstractThis work shows that the modular organization of voluntary Open Source Software (OSS) production, whereby programmers supply effort of their accord, capitalizes more on division than on specialization of labor. This is so because voluntary OSS production is characterized by an organizational learning process that dominates the individual one. Organizational learning reveals production choices that would otherwise remain unknown, thereby increasing productivity and indirectly reinforcing incentives to undertake collective problem solving.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 22949.
Date of creation: 2010
Date of revision:
Division of Labor; Mistake-ridden Learning; Modularity; Open Source Software; Self-selection; Voluntary Production;
Other versions of this item:
- Giampaolo Garzarelli & Riccardo Fontanella, 2011. "Open Source Software Production, Spontaneous Input, and Organizational Learning," American Journal of Economics and Sociology, Wiley Blackwell, vol. 70(4), pages 928-950, October.
- L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
- D20 - Microeconomics - - Production and Organizations - - - General
- L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-06-04 (All new papers)
- NEP-CBE-2010-06-04 (Cognitive & Behavioural Economics)
- NEP-IPR-2010-06-04 (Intellectual Property Rights)
- NEP-KNM-2010-06-04 (Knowledge Management & Knowledge Economy)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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