• DocumentCode
    2235224
  • Title

    Exploring Credit Card Adoption and Usage Model of College Student: An Analysis Based on TAM Model

  • Author

    Zhang, Maolin ; Yang, Min

  • Author_Institution
    Sch. of Econ. & Manage., Tong Ji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    2923
  • Lastpage
    2927
  • Abstract
    This study investigates adoption/use behavior within the context of college students. A research framework based on the Technology Acceptance Model (TAM) is developed to identify factors that would influence the adoption and continue use of the credit card. Besides the "perceived usefulness" and "perceived ease of use", this paper introduces the "perceived risk", "promotion", "trust in electronic channel", "computer self-efficacy", "subject norm", "structural assurance" as new factors. Structural Equation Modeling (SEM) is employed to examine the entire pattern of inter-correlations among the factors, and to test related propositions empirically. A survey including a total of 343 college students is conducted and confirmatory factor analysis used to determine the measurement efficacies. The results reveal that perceived usefulness, perceived ease of use, promotion and perceived risk play direct and significant role in influencing the intention of adopt the credit card while computer self-efficacy and subject norm play indirect role. Perceived ease of use has a significant indirect effect on intention to adopt/use through perceived usefulness, while its direct effect is less significant.
  • Keywords
    credit transactions; human factors; TAM model; college student; computer self-efficacy; credit card adoption; electronic channel; perceived ease of use; perceived risk; perceived usefulness; promotion; structural assurance; structural equation modeling; subject norm; technology acceptance model; Conference management; Context modeling; Credit cards; Educational institutions; Engineering management; Equations; Information analysis; Information science; Numerical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.575
  • Filename
    5455634