Integrating TAM, VAM, PAM And Security Perception In The Intention Of Fintech Service Usage
DOI:
https://doi.org/10.22441/jimb.v7i1.10803Keywords:
TAM, VAM, PAM, Security Persptions, Fintech.Abstract
This study is aims to develop a TAM (Technology Acceptance Model) by integrating a VAM (Value-based Adoption Model), PAM (Pos Acceptance Model) and security perceptions. The frameworks of the theories are expected to deeper explain the perspective perceived by fintech services users in terms of security, perceived value, benefits and satisfaction in using fintech. Survey through a quantitative approach combined with explanatory research in Madiun Residency are used in this research. The results showed that all hypotheses proposed in this study were accepted. Security is the main requirement for people to continue or discontinue using fintech services. Perceived value is a comparative result influenced by the amount of sacrifice made and the perceived benefits. People who are satisfied and tends to assume that the fintech service is valuable, will have a tendency to continue using the fintech service. Therefore, it can be concluded that TAM, VAM, PAM and security perceptions are a unified whole in understanding one's behaviour in adopting technology such as fintech servicces.
Downloads
References
Aboelmaged, M., & Gebba, T. R. (2013). Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior. International Journal of Business Research and Development, 2(1), 35–50. https://doi.org/10.24102/ijbrd.v2i1.263
Ahn, T., Ryu, S., & Han, I. (2004). The Impact Of The Online And Offline Features On The User Acceptance Of Internet Shopping Malls. Electronic Commerce Research and Applications, 3, 405–420. https://doi.org/10.1016/j.elerap.2004.05.001
Alsajjan, B., & Dennis, C. (2010). Internet Banking Acceptance Model: Cross-Market Examination. Journal of Business Research, 63(9–10), 957–963. https://doi.org/10.1016/j.jbusres.2008.12.014
Arner, D. W., Barberis, J., Buckley, R. P., Arnott, R. D., & Aronson, T. R. (2017). Foundation Briefs Fintech And Regtech In A Nutshell , And The Future In A Sandbox. Research Foundation Briefs, Volume 3(Issue 4).
Bansal, G. (2017). Distinguishing Between Privacy And Security Concerns: An Empirical Examination And Scale Validation. Journal of Computer Information Systems, 57(4), 330–343. https://doi.org/10.1080/08874417.2016.1232981
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370.
Bhattacherjee, A. (2014). Qarterjy Continuance : Management Information Systems Research Center, 25(3), 351–370.
Bollen, K. A. (1990). Overall Fit in Covariance Structure Models: Two Types of Sample Size Effects. Psychological Bulletin, 107(2), 256–259. https://doi.org/10.1037/0033-2909.107.2.256
Byrne, arbara M. (1998). Structural Equation Modeling With Lisrel, Prelis, and Simplis (1st Editio). New York: Psychology Press.
Chiu, I. H.-Y. (2016). Fintech And Disruptive Business Models. Journal Of Technology Law & PolicY, 21, 55–112.
Davis, Jr., F. D. (1986). A Technology Acceptance Model For Empirically Testing New End-User Information Systems: Theory And Results [Dissertation]. https://doi.org/10.1016/S0378-7206(01)00143-4
Davis, F. D. (1989). Perceived Usefulnees, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.1016/S0305-0483(98)00028-0
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. USA: Addison-Wesley.
Ghozali, I. (2013). Aplikasi Analisis Multivariate dengan program IBM SPSS 21. Semarang: Badan Penerbit Universitas Diponegoro.
Hai, L. C., & Kazmi, S. H. A. (2015). Dynamic Support of Government in Online Shopping. Asian Social Science, 11(August). https://doi.org/10.5539/ass.v11n22p1
Hun, S., Kim, D. J., Hur, Y., & Park, K. (2018). An Empirical Study of the Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services. International Journal of Human - Computer Interaction.
Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations To The Rapid Adoption Of M-Payment Services: Understanding The Impact Of Privacy Risk On M-Payment Services. Computers in Human Behavior, 79, 111–122. https://doi.org/10.1016/j.chb.2017.10.035
Kagermann, H. (2013). Securing the future of German manufacturing industry initiative INDUSTRIE 4.0 implementing the strategic Recommendations for Final report of the Industrie 4.0 Working Group.
Kim. (2011). Understanding Antecedents of Continuance Intention in Social-Networking Services. Cyber Psychology,Behavior, And Social Networking, 14(4). https://doi.org/10.1089/cyber.2010.0009
Kim, H., Chan, H. C., & Gupta, S. (2007). Value-Based Adoption Of Mobile Internet : An Empirical Investigation. Decision Support Systems, 43, 111–126. https://doi.org/10.1016/j.dss.2005.05.009
Kim, S. H., Bae, J. H., & Jeon, H. M. (2019). Continuous Intention on Accommodation Apps : Integrated Value-Based Adoption and Expectation – Confirmation Model Analysis. Sustainabi, 1–17. https://doi.org/10.3390/su11061578
Kleijnen, M., Wetzels, M., & de Ruyter, K. (2004). Consumer Acceptance Of Wireless Finance. Journal of Financial Services Marketing, 8(3), 206–217. https://doi.org/10.1057/palgrave.fsm.4770120
Kwon, H., & Seo, K. (2013). Application of Value-based Adoption Model to Analyze SaaS Adoption Behavior in Korean B2B Cloud Market. 5(12), 368–373.
Lee, M. (2010). Computers & Education Explaining And Predicting Users ’ Continuance Intention Toward E-Learning : An Extension Of The Expectation – Confirmation Model. Computers & Education, 54(2), 506–516. https://doi.org/10.1016/j.compedu.2009.09.002
Lim, S. H. (2016). 전자메일 서비스 이용자의 패스워드 교체 심리에 대한 연구 An Investigation of the Psychology of Password Replacement by Email Users. Journal of The Korea Institute of Information Security & Cryptology, 26(5).
Lin, T. C., Wu, S., Hsu, J. S. C., & Chou, Y. C. (2012). The Integration Of Value-Based Adoption And Expectation-Confirmation Models: An Example Of IPTV Continuance Intention. Decision Support Systems, 54(1), 63–75. https://doi.org/10.1016/j.dss.2012.04.004
Maccallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power Analysis And Determination Of Sample Size For Covariance Structure Modeling Of Fit Involving A Particular Measure Of Model. Psychologycal Methods, 13(2), 130–149.
Mallat, N., Rossi, M., Tuunainen, V. K., & Anssi, O. (2009). Information & Management The Impact Of Use Context On Mobile Services Acceptance : The Case Of Mobile Ticketing §. Information & Management, 46, 190–195. https://doi.org/10.1016/j.im.2008.11.008
Nunnally, J. C. (1978). Psychometric theory (2nd Editio). New York: McGraw Hill.
Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17, 460–469. https://doi.org/10.11113/jt.v56.60
Oliver, R. L., & Desarbo, W. S. (1988). Response Determinants in Satisfaction Judgments. The Journal Of Consumer Research, 14(March), 495–507.
Ooi, K. B., & Tan, G. W. H. (2016). Mobile Technology Acceptance Model: An Investigation Using Mobile Users To Explore Smartphone Credit Card. Expert Systems with Applications, 59, 33–46. https://doi.org/10.1016/j.eswa.2016.04.015
Ray, S. (2011). Security Assurance : How Online Service Providers Can Influence Security Control Perceptions and Gain Trust. Decision Science, 42(2), 391–412.
Roostika, R. (2012). Mobile Internet Acceptance among University Students : A Value-based Adoption Model. International Journal of Research in Management & Technology, 2(1), 21–28.
Salo, M., & Haapio, H. (2017). Robo-Advisors And Investors : Enhancing Human-Robot Interaction Through Information Design : International Legal Informatics Symposium IRIS 2017, 441–448.
Tabachnick, B. G., & Fidell, L. S. (2006). Using Multivariate Statistics (5th Edition). Boston: MA : Allyn and Bacon.
Tan, G. W. H., Ooi, K. B., Chong, S. C., & Hew, T. S. (2014). NFC Mobile Credit Card: The Next Frontier Of Mobile Payment? Telematics and Informatics, 31(2), 292–307. https://doi.org/10.1016/j.tele.2013.06.002
Teo, A. C., Tan, G. W. H., Ooi, K. B., & Lin, B. (2015). Why Consumers Adopt Mobile Payment? A Partial Least Squares Structural Equation Modelling (PLS-SEM) approach. International Journal of Mobile Communications, 13(5), 478–497. https://doi.org/10.1504/IJMC.2015.070961
Torres, R., & Gerhart, N. (2017). Mobile Proximity Usage Behaviors Based on User Characteristics Mobile Proximity Usage Behaviors Based on User Characteristics. Journal of Computer Information Systems, 00(00), 1–10. https://doi.org/10.1080/08874417.2017.1320954
Turel, O., Serenko, A., & Bontis, N. (2010). User Acceptance Of Hedonic Digital Artifacts: A Theory Of Consumption Values Perspective. Information and Management, 47(1), 53–59. https://doi.org/10.1016/j.im.2009.10.002
Vatanasombut, B., Igbaria, M., Stylianou, A. C., & Rodgers, W. (2008). Information Systems Continuance Intention Of Web-Based Applications Customers: The Case Of Online Banking. Information and Management, 45(7), 419–428. https://doi.org/10.1016/j.im.2008.03.005
Woodruff, R, B. (1997). Customer Value The Next Source For Competitive Advantage. Journal of the Academy of Marketing Science, 25(2), 139–153.
Yang, D., & Li, M. (2018). Evolutionary Approaches and the Construction of Technology-Driven Regulations. Emerging Markets Finance & Trade, 1–16.
Zeithaml, V. A. (2012). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2–22.
Downloads
Published
How to Cite
Issue
Section
License
The copyright of this article was transferred to Universitas Mercu Buana if and when the article was accepted for publication. The undersigned below transfers all and all rights in and to paper including without limitation all copyright to UMB. The undersigned states and guarantees that the paper is genuine and that he is the author of the paper, except material that is clearly identified as the original source, with the notification of the permission of the copyright owner if necessary and has the power and authority to make and carry out this assignment. We state that this paper has not been published in the same form elsewhere.
Furthermore, I / We hereby transfer unlimited publicity rights to the above mentioned papers as a whole to Universitas Mercu Buana. Copyright transfers include the right to reproduce and distribute articles, including reprints, translations, photo reproductions, microforms, electronic forms (offline, online) or other reproductions that have similar properties. The appropriate author signs and accepts the responsibility for releasing this material on behalf of each and all co-authors. This agreement must be signed by at least one of the authors who has obtained approval from the co-author (s) where applicable.
After the submission of this agreement is signed by the appropriate author, changes in authorship or in the order of the registered author will not be accepted. Retained Rights / Provisions and Conditions Although the author is permitted to reuse all or part of the Work in another work, this does not include giving a third party request for reprinting, republishing, or any other type of reuse.










