Co-membership, Networks Ties, and OSS Success: An Investigation Controlling for Alternative Mechanisms for Knowledge Flow

dc.contributor.authorPeng, Gang
dc.contributor.authorYu, Feng (George)
dc.contributor.authorPeng, Yiqun
dc.date.accessioned2017-12-28T02:02:14Z
dc.date.available2017-12-28T02:02:14Z
dc.date.issued2018-01-03
dc.description.abstractCo-membership has been considered as a major mechanism for constructing social networks, but it has met many criticisms over time for failing to control for alternative mechanisms for knowledge flow. Although social networks constructed in online environment can reduce such possibilities, it is not without limitations. One possible mechanism for learning and knowledge flow is direct watching and observation. This study investigates the impact of co-membership taking into account the alternative mechanism of watching under the setting of OSS development at GitHub. It finds that both co-membership and watching contribute positively to OSS success, and thus shows the co-existence of both experiential learning and vicarious learning for OSS development. Moreover, it finds the impact of co-membership is much stronger than watching. While the impact of co-membership may be biased in prior literature, this study confirms that co-membership is indeed an effective mechanism for constructing online social networks for knowledge flow.
dc.format.extent9 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2018.534
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50423
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectKnowledge Flows, Transfer, Sharing and Exchange
dc.subjectco-membership, GitHub, knowledge flow, network ties, OSS success
dc.titleCo-membership, Networks Ties, and OSS Success: An Investigation Controlling for Alternative Mechanisms for Knowledge Flow
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
paper0536.pdf
Size:
429.89 KB
Format:
Adobe Portable Document Format