• DocumentCode
    2188099
  • Title

    The Influence of Social Capital in an Online Community on Online Review Quality in China

  • Author

    Qiuju Li ; Jinhong Cui ; Yun Gao

  • Author_Institution
    Univ. of Int. Bus. & Econ., Beijing, China
  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    562
  • Lastpage
    570
  • Abstract
    Collaboration is to make full use of the advantages of each one, not only saving time but also saving resources. As a form of collaboration, online reviews attract attentions of scholars and businessmen in China. However, previous research mostly explores how review quality affects product sales or how review content influences quality of online review. In this study, we present how social capital of reviewers affects the quality of review. Based on the social capital theory and social network theory, we consider a reviewer´s social network, in degree and out degree, experience, and activity, and build a theoretical model for review quality. We use 1764 reviews in an online community in China to test our hypotheses through the Tobit regression method. The research results not only make theoretical contributions to research on online review quality, but also help enterprises manage and apply online reviews effectively.
  • Keywords
    groupware; regression analysis; social networking (online); China; Tobit regression method; collaboration; online community; online review quality; social capital; social network; Business; Collaboration; Communities; Open source software; Shape; Social network services; Content Similarity; Reviews Quality; Social Capital; Social Network;
  • 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.2015.74
  • Filename
    7069723