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Firms as Incubators of Open Source Software

Authors: Amit Mehra; Rajiv M. Dewan; Marshall L. Freimer;

Firms as Incubators of Open Source Software

Abstract

Many successful open-source projects have been developed by programmers who were employed by firms but worked on open-source projects on the side because of economic incentives like career improvement benefits. Such side work may be a good thing for the employing firms, too, if they get some strategic value from the open-source software and if the productivity of the programmers on these projects improves through learning-by-doing effects. However, the programmers may work more or less on these projects than what is best for the firms. To manage the programmers' efforts, the firms set appropriate employment policies and incentives. These policies and career concerns then together govern the programmers' effort allocation between the open-source and proprietary projects. We examine this relationship using a variant of the principal/agent model. We derive and characterize optimal employment contracts and show that firms either offer a bonus for only one of the two projects or do not offer any bonuses. However, if attractive alternate employment opportunities are available, they change their strategy and may offer bonuses for both projects simultaneously.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Average
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