Virtual team performance in crowdsourcing contest: A social network perspective

Indika Dissanayake, Jie Zhang, Bin Gu

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

2 Scopus citations

Abstract

Social media technologies have made it feasible for organizations to tap 'wisdom of the crowd' beyond their own workforce. Many organizations use online crowd sourcing contests to find solutions for their business problems. In these contests, self-organized virtual teams compete for monetary reward. Motivated by this phenomenon, this research investigates how the social network structure of a virtual team impacts its performance in the context of online crowd sourcing contests. Specifically, we empirically assess the impacts of member social-capital, intellectual-capital, and the alignment of these two measures on team performances. Our analysis suggests that the alignment of member social-capital and intellectual-capital has a negative impact on team performances. Our findings have strategic implications to participants of virtual crowd sourcing competitions and to the design of virtual work teams.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
PublisherIEEE Computer Society
Pages4894-4897
Number of pages4
Volume2015-March
ISBN (Print)9781479973675
DOIs
Publication statusPublished - Mar 26 2015
Event48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, United States
Duration: Jan 5 2015Jan 8 2015

Other

Other48th Annual Hawaii International Conference on System Sciences, HICSS 2015
CountryUnited States
CityKauai
Period1/5/151/8/15

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Keywords

  • Crowdsourcing
  • Intellectual capital
  • Social capital
  • Social network analysis
  • Virtual teams

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Dissanayake, I., Zhang, J., & Gu, B. (2015). Virtual team performance in crowdsourcing contest: A social network perspective. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2015-March, pp. 4894-4897). [7070400] IEEE Computer Society. https://doi.org/10.1109/HICSS.2015.580