• DocumentCode
    690929
  • Title

    A study of Impulse Buying in virtual communities

  • Author

    Guohong Wei ; Chun Hu

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    1954
  • Lastpage
    1958
  • Abstract
    In theories and studies of Impulse Buying, residents´ impulse buying in Virtual communities (VCs) has been ignored. The purpose of this paper is to provide an explanation of factors influencing impulse buying of Chinese residents in VCs, which can help the advertisers to develop better market strategies. The authors draw on Impulse Buying theories to develop a model of the influence mechanism of users in VCs on the behavioral of impulse buying. The model is tested using data collected among Chinese virtual communities´ consumers. The findings illustrate the importance of advertising form, knowledge sharing in a virtual community, the virtual community favorite, impulse buying experiences, users´ familiarity and individual instant decision to the residents of virtual communities´ impulse buying. The findings of this study have important implications to virtual community or impulse buying researchers. The results of this study also have several important implications for practitioners of advertising in China.
  • Keywords
    advertising data processing; consumer behaviour; purchasing; social networking (online); China; Chinese resident impulse buying theories; Chinese virtual community consumers; advertising; impulse buying behavior; impulse buying experiences; market strategies; user familiarity; user mechanism; Advertising; Communities; Data models; Load modeling; Loading; Mathematical model; Testing; 3D virtual communities; Impulse Buying; non-planned purchasing; virtual community;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6838087
  • Filename
    6838087