FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR
Universitas Gunadarma
Indonesia
Universitas Gunadarma
Indonesia
Abstract
With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money.
Keywords
References
Ajzen, I., and Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall. Englewood Scliffs, NJ.
Ajzen, I., (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes. 50, 179-211.
Bank Indonesia. (2009). Peraturan Bank Indonesia No.11/12/PBI/2009 Tentang Uang Elektronik (Electronic Money).
Davis, F.D. (1986). A technology acceptance model for empirically testing new end user information systems: theory and results, Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13, 319- 339.
Davis, F.D., et al. (1989). User acceptance of Computer Technology: A Comparison of Two Theoritical Models. Management Science. 35/8, 982-1003.
Ferdinand, Agusty. (2002). Structural Equation Modeling. Semarang: BP Universitas Diponegoro.
Fishbein, M. and Ajzen. I. (1975). Belief, Attitude, Intentions and Behavior: AnIntroduction to Theory and Research. Addison-Wesely, Boston, MA.
Gefen, D. (2002). Customer Loyalty in e-Commerce. Journal of the Association for Information Systems, 3, 27-51.
Kartika, Shinta E. (2009). Analisis Proses Penerimaan Sistem Informasi iCons dengan Menggunakan Technology Acceptance Model Pada Karyawan PT.Bank Negara Indonesia (Persero) Tbk. di Kota Semarang. Tesis. Universitas Diponegoro.
Lee, M.C. (2008). Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB wit Perceived Risk and Perceived Benefit. Journal of Electronic Research and Application, 51, 12.
Legris, P., Ingham, J. and Collerette, P. (2003). Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information and Management. 40/3, 191-204.
Rahmatsyah, Deni. (2011). Analisa Faktor-faktor yang Mempengaruhi Minat Penggunaan Produk Baru. Tesis. Universitas Indonesia.
Succi, M.J. and Walter, Z.D. (1999), Theory of user acceptance of information technologies: an examination of health care professionals, Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS). 1-7.
Sugiyono, (2008). Metode Penelitian Kunatitatif Kualitatif dan R&D. Bandung Alfabeta.
Taylor, S. and Todd, P.A. (1995). Decomposition and Crossover Effects in The Theory of Planned Behavior: a study of consumer adoption intentions. International Journal of Research in Marketing. 2,137-155.
Tsai, Wen-Chia. (2012). A study of consumer behavioral intention to use e-books: the Technology Acceptance Model perspective. Innovative Marketing, 8/4, 55-66.
Venkatesh, V, and Davis, F.D. (1996). A Model of the Antecedents of Perceived Ease of Use, Development and Test. Decision Science, 27/3, 451-481.
Venkatesh, V, & Morris M. G. (2000). Why Don't Men Ever Stop to Ask for Direction? Gender, Social Influence and their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24/1.
Yaghoubi, N.M and Bahmani, E. (2010). Factors Affecting the Adoption of Online Banking: An Integration of Technology Acceptance Model and Theory of Planned Behavior. International Journal of Business and Management. 5/9.
faculty Of Economics
