Open Source Software and the “Private-Collective” Innovation Model: Issues for Organization Science
Eric von Hippel () and
Georg von Krogh ()
Additional contact information
Eric von Hippel: Sloan School of Management, Massachusetts Institute of Technology, 50 Memorial Drive, Cambridge, Massachusetts 02141
Georg von Krogh: Institute of Management, University of St. Gallen, Dufourstrasse 48, CH-9010 St. Gallen, Switzerland
Organization Science, 2003, vol. 14, issue 2, 209-223
Abstract:
Currently, two models of innovation are prevalent in organization science. The “private investment” model assumes returns to the innovator result from private goods and efficient regimes of intellectual property protection. The “collective action” model assumes that under conditions of market failure, innovators collaborate in order to produce a public good. The phenomenon of open source software development shows that users program to solve their own as well as shared technical problems, and freely reveal their innovations without appropriating private returns from selling the software. In this paper, we propose that open source software development is an exemplar of a compound “private-collective” model of innovation that contains elements of both the private investment and the collective action models and can offer society the “best of both worlds” under many conditions. We describe a new set of research questions this model raises for scholars in organization science. We offer some details regarding the types of data available for open source projects in order to ease access for researchers who are unfamiliar with these, and also offer some advice on conducting empirical studies on open source software development processes.
Keywords: Open Source Software; Innovation; Incentives; User Innovation; Users; Collective Action (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (96)
Downloads: (external link)
http://dx.doi.org/10.1287/orsc.14.2.209.14992 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ororsc:v:14:y:2003:i:2:p:209-223
Access Statistics for this article
More articles in Organization Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().