Difference between revisions of "Von Hippel and Von Krogh (2003)"

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|Year=2003
 
|Year=2003
 
|Full Citation=Von Hippel, E. and Von Krogh, G. (2003). Open source software and the “private-collective” innovation model: Issues for organization science. Organization science, 14(2), p. 209-223
 
|Full Citation=Von Hippel, E. and Von Krogh, G. (2003). Open source software and the “private-collective” innovation model: Issues for organization science. Organization science, 14(2), p. 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.
+
|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."
 
|Authentic Link=http://pubsonline.informs.org/doi/abs/10.1287/orsc.14.2.209.14992
 
|Authentic Link=http://pubsonline.informs.org/doi/abs/10.1287/orsc.14.2.209.14992
 
|Link=http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.2.2307&rep=rep1&type=pdf
 
|Link=http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.2.2307&rep=rep1&type=pdf
|Reference=Demsetz (1967);Olson (1967);Lerner and Tirole (2002);von Hippel (1988);Benford (1993);
+
|Reference=Demsetz (1967);Olson (1967);Benford (1993);von Hippel (1988);Lerner and Tirole (2002)
 
|Plain Text Proposition=* There are many interesting puzzles in open source software research projects that can trigger the interest of organization scholars for years to come. Answering some of them might even lead to substantial rethinking of the very concept of "organization for innovation" and a better understanding of innovation among distributed users who derive utility from freely revealing their information-based innovation to produce a collective good. * Most open source projects are hosted on a few major sites like Sourceforge.net.* Records of what is “committed” to the official code and by whom, is recorded in a publicly accessible Concurrent Versioning System (CVS) log. In many projects the privilege of adding authorized code to the CVS is restricted to only a few trusted developers. * Interactions among project members are generally posted in the form of messages on public Internet sites maintained by projects.
 
|Plain Text Proposition=* There are many interesting puzzles in open source software research projects that can trigger the interest of organization scholars for years to come. Answering some of them might even lead to substantial rethinking of the very concept of "organization for innovation" and a better understanding of innovation among distributed users who derive utility from freely revealing their information-based innovation to produce a collective good. * Most open source projects are hosted on a few major sites like Sourceforge.net.* Records of what is “committed” to the official code and by whom, is recorded in a publicly accessible Concurrent Versioning System (CVS) log. In many projects the privilege of adding authorized code to the CVS is restricted to only a few trusted developers. * Interactions among project members are generally posted in the form of messages on public Internet sites maintained by projects.
 
|FundamentalIssue=1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare,5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)
 
|FundamentalIssue=1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare,5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)

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1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare 2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? 3. Harmony of interest assumption between authors and publishers (creators and producers/investors) 4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) 5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)

A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) C. Mass digitisation/orphan works (non-use; extended collective licensing) D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) E. Fair remuneration (levies; copyright contracts) F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)

Source Details

Von Hippel and Von Krogh (2003)
Title: Open source software and the “private-collective” innovation model: Issues for organization science.
Author(s): Von Hippel, E., Von Krogh, G.
Year: 2003
Citation: Von Hippel, E. and Von Krogh, G. (2003). Open source software and the “private-collective” innovation model: Issues for organization science. Organization science, 14(2), p. 209-223
Link(s): Definitive , Open Access
Key Related Studies:
Discipline:
Linked by:
About the Data
Data Description: The article describes a new model in organisation science: the “private-collective” model of innovation
Data Type: Primary and Secondary data
Secondary Data Sources:
Data Collection Methods:
Data Analysis Methods:
Industry(ies):
Country(ies):
Cross Country Study?: No
Comparative Study?: No
Literature review?: Yes
Government or policy study?: No
Time Period(s) of Collection:
  • Not stated
Funder(s):

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."

Main Results of the Study

  • There are many interesting puzzles in open source software research projects that can trigger the interest of organization scholars for years to come. Answering some of them might even lead to substantial rethinking of the very concept of "organization for innovation" and a better understanding of innovation among distributed users who derive utility from freely revealing their information-based innovation to produce a collective good. * Most open source projects are hosted on a few major sites like Sourceforge.net.* Records of what is “committed” to the official code and by whom, is recorded in a publicly accessible Concurrent Versioning System (CVS) log. In many projects the privilege of adding authorized code to the CVS is restricted to only a few trusted developers. * Interactions among project members are generally posted in the form of messages on public Internet sites maintained by projects.


Policy Implications as Stated By Author

  • Researchers should be aware that much user communication happens beyond public email. Thus, Internet Relay Chat (real time chatting on the Internet), private email, or direct communication between users can have significant value for studies of motives, incentives, community development, coordination, and technical decision-making in projects * Interpretation of subtle matters relevant to organization researchers will be aided by having a good a contextual and behavioral understanding of project activities, and a broad set of data and methods might then be valuable. * It can be very useful to create an "intellectual genealogy" for an open source development project at an early stage in an empirical research project


Coverage of Study

Coverage of Fundamental Issues
Issue Included within Study
Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare
Green-tick.png
Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)?
Harmony of interest assumption between authors and publishers (creators and producers/investors)
Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption)
Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)
Green-tick.png
Coverage of Evidence Based Policies
Issue Included within Study
Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right)
Green-tick.png
Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction)
Mass digitisation/orphan works (non-use; extended collective licensing)
Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
Fair remuneration (levies; copyright contracts)
Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)
Green-tick.png

Datasets

Sample size: 1
Level of aggregation: Economic model
Period of material under study: Not stated