• DocumentCode
    2949361
  • Title

    Integrating perceived risk and trust with technology acceptance model: An empirical assessment of customers´ acceptance of online shopping in Jordan

  • Author

    Faqih, Khaled M S

  • Author_Institution
    Inf. Syst. Dept., Al al-Bayt Univ., Mafraq, Jordan
  • fYear
    2011
  • fDate
    23-24 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This study is set to explore the influence of perceived risk and trust on the consumers´ acceptance of online channel for purchase in Jordan. The study proposes a theoretical model based upon the technology acceptance model (TAM), by extending its boundary with perceived risk and trust variables. A questionnaire developed from a previously validated measurement was administered to collect the data using purposeful sampling technique. The model identifies nine hypotheses, which were examined through partial least squares (PLS) statistical tool. Empirically, this study revealed that trust, perceived usefulness, and perceived ease-of-use have direct and positive impact on the consumers´ behavioral intention to use online channel for shopping. Also, perceived ease-of-use was found to positively influence the behavioral intention to use online shopping indirectly via perceived usefulness and trust variables. Surprisingly, the results of this study showed that perceived risk has no direct influence on the consumers´ behavioral intention, however it has indirect effect via trust variable. Therefore, both perceived risk and trust can be considered influential in increasing instability in the online shopping environment. Managerial implications are provided.
  • Keywords
    Internet; consumer behaviour; least squares approximations; risk management; sampling methods; Jordan; TAM; behavioral intention; consumers behavioral intention; online channel; online shopping; partial least squares; perceived risk; perceived usefulness; technology acceptance model; trust variables; Bismuth; Educational institutions; Internet; Mercury (metals); Testing; Partial Least Squares; TAM model; online shopping; perceived risk; trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Innovation in Information Systems (ICRIIS), 2011 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-61284-295-0
  • Type

    conf

  • DOI
    10.1109/ICRIIS.2011.6125686
  • Filename
    6125686