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
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