• DocumentCode
    695434
  • Title

    Peer-recognition and Performance in Online Crowdsourcing Communities

  • Author

    Dissanayake, Indika ; Jie Zhang ; Feirong Yuan ; Jingguo Wang

  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    4262
  • Lastpage
    4265
  • Abstract
    Recent advances in information technology bring significant changes to the nature of social interactions and information exchange. Physical face-to-face communications are slowly replaced by online virtual communities. Motivated by this phenomenon, this research investigates how voluntary community involvement and self-disclosure behavior impact a member´s peer-recognition and task performance within a virtual crowd sourcing competition community. We collected secondary data from the discussion forums of a specialized crowd sourcing platform that focuses on data analytics projects. Our results reveal that a member´s community involvement improves both the peer-recognition of the member in the community and his/her performance ranking. Our findings have strategic implications to participants of virtual crowd sourcing communities and other professional online communities.
  • Keywords
    data analysis; social networking (online); data analytics projects; information exchange; information technology; online crowdsourcing communities; online virtual communities; peer-recognition; performance ranking; physical face-to-face communications; self-disclosure behavior; social interactions; strategic implications; task performance; virtual crowdsourcing competition community; voluntary community involvement; Communities; Context; Crowdsourcing; Data analysis; Discussion forums; Education; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.646
  • Filename
    7070330