Collaboration for Success in Crowdsourced Innovation Projects: Knowledge Creation, Team Diversity, and Tacit Coordination

Simple item page
dc.contributor.authorZhou, Wenjun
dc.contributor.authorYan, Wangcheng
dc.contributor.authorZhang, Xi
dc.date.accessioned2016-12-29T00:14:08Z
dc.date.available2016-12-29T00:14:08Z
dc.date.issued2017-01-04
dc.description.abstractWhen innovation projects are crowdsourced, individuals are allowed to form teams and collaborate to develop a successful solution. In this environment, teams will be competing with each other, as only the winning ones take the award home. Should a worker work alone, so that she or he does not need to share the award when she or he wins, or should she or he form a team for a better chance to win? In this paper, we studied the behaviors of workers in the context of crowdsourced innovation projects (CIPs). Building upon the theoretical framework of the organizational knowledge creation theory (OKCT), we linked team performance to team formation factors, including team diversity, team coordination, and task complexity. Our preliminary analysis showed that team coordination was an important factor for success. Team diversity in terms of connectivity was a positive factor towards better performance, whereas other factors were not significant. Our study indicates that workers in CIPs are likely to benefit from collaborations, connectivity diversity, and role diversity.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2017.046
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41195
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th 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.titleCollaboration for Success in Crowdsourced Innovation Projects: Knowledge Creation, Team Diversity, and Tacit Coordination
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
paper0046.pdf
Size:
1.85 MB
Format:
Adobe Portable Document Format
Download

Collections

Data Science and Analytics for Collaboration Minitrack