Main Article Content
The objectives of this research were (1) to conduct confirmatory factor analysis of factors affecting the intention to use mobile wallet; and (2) to investigate the consistency of the causal
relationship model based on hypotheses and empirical data. The data were collected by using a questionnaire to ask 300 people in Bangkok Metropolis. The data were analyzed using the
Structural Equation Modeling (SEM). The results indicated that the confirmatory factor analysis of factors affecting the intention to use mobile wallet is consistent with the empirical data. The intention to use (IU) has been directly and positively influenced by the attitude toward use (AT) most and followed by perceived usefulness (PU). Besides, the attitude toward use (AT) has been directly and positively influenced by the perceived usefulness (PU) most and followed by the perceived ease of use (PE). Hence, attitude toward use (AT) is the only mediator variable that has influence on the intention to use (IU).
I and co-author(s) certify that articles of this proposal had not yet been published and is not in the process of publication in journals or other published sources. I and co-author accept the rules of the manuscript consideration. Both agree that the editors have the right to consider and make recommendations to the appropriate source. With this rights offering articles that have been published to Panyapiwat Institute of Management. If there is a claim of copyright infringement on the part of the text or graphics that appear in the article. I and co-author(s) agree on sole responsibility.
Al-Sharaf, M. A., Arshah, R. A., Herzallah, F. A. T. & Alajmi, Q. (2017). The Effect of Perceived Ease of Use and Usefulness on Customers Intention to Use Online Banking Services: The Mediating Role of Perceived Trust. International Journal of Innovative Computing, 7(1), 9-14.
Agarwal, S. (2016). Initial euphoria of prepaid wallets dies down. Retrieved March 15, 2018, from https://economictimes.indiatimes.com/industry/banking/fnance/initial-euphoria-of-prepaidwallets-dies-down/articleshow/52017962.cms
Brand Inside. (2018). When the Cashless Society is coming, How long the banknote will last for? Retrieved March 15, 2018, from https://brandinside.asia/cashless-society-banknote/ [in Thai]
Chomchalao, S. & Naenna, T. (2013). Inﬂuence of System Traits and Personal Traits on the Acceptance of e-Government Service. Information Technology Journal, 12(5), 880-893.
Cooper, D. R., Schindler, P. S. & Sun, J. (2006). Business Research Methods (9th ed.). New York: McGraw-hill.
Cronbach, L. J. (1960). Essentials of psychological testing (2nd ed.). New York: Harper & Row.
Davis, F. D., Bagozzi, R. P. & Warshaw P. R. (1989). User acceptance of computer technology a comparison of two theoretical models. Management Science, 35(8), 982-1003.
Giovanis, A. N., Binioris, S. & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24-53.
GSB Research. (2017). Mobile Wallet moving to a cashless society. Modern Financial, Government Savings Bank, 1-7. [in Thai]
Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). NJ: Prentice Hall.
Jantasang, S. & Thamwattana, K. (2016). A case relationships model between emotional intelligence and perception of justice inﬂuencing to organization citizenship behavior supporting staff of Rajamangala University of Technology Krungthep. Panyapiwat Journal, 8(Special Issue), 130-144. [in Thai]
Jenkins, P. & Ophoff, J. (2016). Factors inﬂuencing the intention to adopt NFC mobile payments – A South African perspective. International Conference on Information Resources Management (CONF-IRM), CONF-IRM 2016 Proceedings, 1-12.
Kwok, D. & Yang, S. (2017). Evaluating the intention to use ICT collaborative tools in a social constructivist environment. International Journal of Educational Technology in Higher Education, 1-14.
Likert, R. (1961). New Patterns of Management. New York: McGraw-Hill.
Melas, C. D., Zampetakis, L. A., Dimopoulou, A. & Moustakis, V. (2011). Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model. Journal of Biomedical Informatics, 44, 553-564.
National-ePayment. (2015). National-ePayment. Retrieved March 15, 2016, from https://www.epayment.go.th/home/app/home [in Thai]
Pure, G., Trudel, M. C. & Forget, P. (2014). Adoption, Use, and Impact of E-Booking in Private Medical Practices: Mixed-Methods Evaluation of a Two-Year Showcase Project in Canada. JMIR Medical Informatics, 2(2), 30-40.
Sharma, S. K. & Govindaluri, S. M. (2014). Internet banking adoption in India: Structural equation modeling approach. Journal of Indian Business Research, 6(2), 155-169.
Shen, S. (2015). Report highlight for market trends: mobile payment – the way forward, Gartner. Retrieved March 15, 2018, from www.gartner.com/doc/3055223?srcId=1-2819006590&cm_sp=gi-_-rr-_-top
Thakur, R. (2013). Customer adoption of mobile payment services by professionals across two cities in India: An empirical study using modifed technology acceptance model. Business Perspectives and Research, 1(2), 17-30.
TMB Bank. (2016). Digital Wallet. Retrieved March 26, 2018, from https://www.mebytmb.com/blog/view/digital-wallet.html [in Thai]
Wiratchai, N. (2012). Confrmatory Factor Analysis–CFA. Journal of Research and Curriculum Development, 2(1), 68-74. [in Thai]