• DocumentCode
    3183992
  • Title

    Empirical research on the dimensions of consumer´s perceived risk in the overall process of B2C

  • Author

    Zhang, Lingying ; Xu, Yingcong ; Tan, Genlue ; He, Yi ; Liu, Xiaoyu

  • Author_Institution
    Harbin Inst. of Technol. Shenzhen Grad. Sch., Shenzhen Univ., Shenzhen, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    3013
  • Lastpage
    3016
  • Abstract
    The dimension structure of consumers´ perceived risk (CPR) for the overall process of B2C E-Commerce was empirical researched in this paper. Based on a thorough review of prior researches and interviews with experienced customers, the basic CPR elements for the overall process of B2C E-Commerce were explored. Then, a formal measure was developed after a pilot survey and preliminary statistics, and the data were collected through some formal surveys. 32 items were used to test the risks in the phases of the overall process of B2C and 388 respondents were surveyed by the questionnaire. Finally, eight risk common factors were explored through exploratory factor analysis, in which only 30 items were kept in. Eight dimensions of consumers´ perceived risk were ascertained by confirmatory factor analysis, i.e. perceived health risk, perceived quality risk, perceived privacy risk, perceived economic risk, perceived time risk, perceived social risk, perceived delivery risk and perceived after-sale risk. The cumulative variance rate is 88.627%, ail the Cronbach´s α of the eight constructs are greater than 0.8, and the construct validities are acceptable.
  • Keywords
    Internet; consumer behaviour; electronic commerce; higher order statistics; retail data processing; risk analysis; B2C e-commerce; confirmatory factor analysis; consumer perceived risk dimensions; cumulative variance rate; formal surveys; online shopping; perceived after-sale risk; perceived delivery risk; perceived economic risk; perceived health risk; perceived privacy risk; perceived quality risk; perceived social risk; perceived time risk; risk common factors; Decision support systems; empirical research; overall process of B2C; perceived risk; risk dimensions; shopping online;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6011134
  • Filename
    6011134