• DocumentCode
    7730
  • Title

    Empirical analysis on influence mechanism of cohesiveness and collective efficacy of virtual community based on triadic reciprocal determinism

  • Author

    Ning Lianju ; Liu Qian ; Xia Wen

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    11
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    146
  • Lastpage
    155
  • Abstract
    The virtual community has become a new life style as for human, but the public´s acceptance is relatively low at present. So the research about the mechanism of the influence on the cohesiveness and the collective efficiency in virtual community has an important theoretical value and practical value. In the paper, the key variables that affect virtual community cohesiveness are extracted from two aspects - self-perception of community members and community environment, and the influence mechanism model of virtual community cohesiveness and community collective efficiency is established based on Triadic Reciprocal Determinism. By means of the questionnaire on the community members and the empirical analysis, the key factors influencing cohesiveness of virtual community are brought up, as well as the mechanism that the four dimensions of cohesiveness work on collective efficiency. According to the results, it is practically meaningful that the problems and insufficiency in the operation of existing virtual community are discovered, which guides the operating managers of the virtual community to formulate operation policy of the virtual community for operating managers to develop strategies.
  • Keywords
    social networking (online); cohesiveness influence mechanism; collective efficacy; community environment; public acceptance; triadic reciprocal determinism; virtual community cohesiveness; virtual community operation policy; Cognition; Information systems; Internet; Mathematical model; Virtual environments; cohesiveness; collective efficacy; environment variables; self-cognition; virtual community;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2014.7004532
  • Filename
    7004532