Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/24371
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dc.contributor.authorSetia, Pankaj-
dc.contributor.authorBayus, Barry L-
dc.contributor.authorRajagopalan, Balaji-
dc.date.accessioned2021-10-14T09:08:13Z-
dc.date.available2021-10-14T09:08:13Z-
dc.date.issued2020-09-01-
dc.identifier.citationSetia, P., Bayus, B. L., & Rajagopalan, B. (2020). The Takeoff of Open Source Software: A Signaling Perspective Based on Community Activities. MIS Quarterly, 44(3).en_US
dc.identifier.other10.25300/MISQ/2020/12576-
dc.identifier.urihttp://hdl.handle.net/11718/24371-
dc.description.abstractA few open source software (OSS) products exhibit an abrupt and significant increase in downloads. However, the majority of OSS products fail to gain much interest. Identifying early success is important for catalyzing growth in OSS markets. However, previous OSS research has not examined early product success dynamics and assumes adoption to be a continuous process. We propose OSS takeoff in adoptions as a measure of eventual product success. Takeoff is a nonlinear inflection point separating the early development from the growth phase in the product life cycle. Using arguments from the signaling literature, we propose that community activities send signals about product quality and reduce information asymmetry faced by potential adopters of OSS products. Estimating a Cox proportional hazard model using a large sample of OSS products from Source Forge, we find that takeoff times are significantly associated with signals of quality deficiency and improvement. Further, we find that target audience and product innovativeness moderate this relationship.en_US
dc.language.isoenen_US
dc.publisherMIS Quarterlyen_US
dc.subjectOpen source softwareen_US
dc.subjectTakeoffen_US
dc.subjectSignalingen_US
dc.subjectProduct qualityen_US
dc.titleThe takeoff of open source software: a signaling perspective based on community activitiesen_US
dc.typeArticleen_US
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