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Network Effects: The Influence of Structural Capital on Open Source Project Success
by
Mookerjee, Vijay
, Singh, Param Vir
, Tan, Yong
in
Collaboration
/ Computer software
/ Foundries
/ Hemic system
/ Information storage and retrieval systems
/ Netzwerkökonomik
/ Open Source
/ Open source software
/ Product development
/ Projektbewertung
/ Social capital
/ Social networking
/ Social networks
/ Software engineering
/ Soziales Netzwerk
/ Sozialkapital
/ Structural capital
/ Studies
/ Success
2011
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Network Effects: The Influence of Structural Capital on Open Source Project Success
by
Mookerjee, Vijay
, Singh, Param Vir
, Tan, Yong
in
Collaboration
/ Computer software
/ Foundries
/ Hemic system
/ Information storage and retrieval systems
/ Netzwerkökonomik
/ Open Source
/ Open source software
/ Product development
/ Projektbewertung
/ Social capital
/ Social networking
/ Social networks
/ Software engineering
/ Soziales Netzwerk
/ Sozialkapital
/ Structural capital
/ Studies
/ Success
2011
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Do you wish to request the book?
Network Effects: The Influence of Structural Capital on Open Source Project Success
by
Mookerjee, Vijay
, Singh, Param Vir
, Tan, Yong
in
Collaboration
/ Computer software
/ Foundries
/ Hemic system
/ Information storage and retrieval systems
/ Netzwerkökonomik
/ Open Source
/ Open source software
/ Product development
/ Projektbewertung
/ Social capital
/ Social networking
/ Social networks
/ Software engineering
/ Soziales Netzwerk
/ Sozialkapital
/ Structural capital
/ Studies
/ Success
2011
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Network Effects: The Influence of Structural Capital on Open Source Project Success
Journal Article
Network Effects: The Influence of Structural Capital on Open Source Project Success
2011
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Overview
What determines the success of open source projects? In this study, we investigate the impact of network social capital on open source project success. We define network social capital as the benefits open source developers secure from their membership in developer collaboration networks. We focus on one specific type of success as measured by the rate of knowledge creation in an open source project. Specific hypotheses are developed and tested using a longitudinal panel of2,3 78 projects hosted at SourceForge. We find that network social capital is not equally accessible to or appropriated by all projects. Our main results are as follows.First, projects with greater internal cohesion (that is, cohesion among the project members) are more successful. Second, external cohesion (that is, cohesion among the external contacts of a project) has an inverse U-shaped relationship with the project's success; moderate levels of external cohesion are best for a project's success rather than very low or very high levels. Third, the technological diversity of the external network of a project also has the greatest benefit when it is neither too low nor too high. Fourth, the number of direct and indirect external contacts positively affects a project's success such that the effect of the number of direct contacts is moderated by the number of indirect contacts. These results are robust to several control variables and alternate model specifications. Several theoretical and managerial implications are provided.
Publisher
Management Information Systems Research Center, University of Minnesota,Soc,University of Minnesota, MIS Research Center
Subject
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