Virtual team performance in crowdsourcing contests: A social network perspective completed research paper

Indika Dissanayake, Jie Zhang, Bin Gu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advances in information technology have made it feasible for organizations to pool expertise around the globe. In particular, organizations increasingly seek solutions to their business problems using online crowdsourcing contests that are open the public. Motivated by this new phenomenon, this research investigates how the distribution of social connections and skill levels within a virtual team impacts its performance in the context of online crowdsourcing contests. Specifically, we examine the impacts of member centrality, skill levels and the alignment of these two measures within a virtual team on team performances in competitive environments. Our analysis suggests that centrality and skill levels of members of different roles are related to team performance differently. We further show that the alignment of member centrality and skill level has a negative impact on team performances, and this negative impact get stronger when the competition intensity is high. Our findings have strategic implications to the design of virtual work teams.

Original languageEnglish (US)
Title of host publication35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014
PublisherAssociation for Information Systems
StatePublished - 2014
Event35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014 - Auckland, New Zealand
Duration: Dec 14 2014Dec 17 2014

Other

Other35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014
CountryNew Zealand
CityAuckland
Period12/14/1412/17/14

Keywords

  • Crowdsourcing
  • Social network analysis
  • Virtual teams

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

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  • Cite this

    Dissanayake, I., Zhang, J., & Gu, B. (2014). Virtual team performance in crowdsourcing contests: A social network perspective completed research paper. In 35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014 Association for Information Systems.