The Determinants of Students' Intentions to Use Artificial Intelligence-Based Mobile Investment Apps
DOI:
https://doi.org/10.21776/ijabs.2024.32.3.720Keywords:
Robo Advisor, mobile investment apps, Artificial Intelligence, Business Investment, TAMAbstract
Purpose—This study investigated the determinants of students' intentions to use Artificial Intelligence-based Mobile Investment Apps known as Robo Advisors. Perceived ease of use, perceived usefulness, and perceived trust are the presumed determinants of students' intentions, directly and indirectly mediated by perceived attitudes.
Design/methodology/approach — The study employs a survey of 231 students of the Accounting Departments of Universitas Brawijaya, analyzed by the Partial Least Square method.
Findings—The study's results revealed that the students’ intentions were directly affected by perceived usefulness and perceived attitudes, and perceived attitudes were affected by perceived ease of use, usefulness, and trust.
Practical implications — This finding implies that app developers should improve their app features and interactions with students to develop perceived ease of use and perceived trust.
Originality/value—This study combines the Technology Acceptance Model and Theory of Trust to provide a firmer model for explaining students' intentions.
Keywords — Robo Advisor, mobile investment apps, Artificial Intelligence, investment, TAM.
Paper type — Research Paper
References
Al-Majali, M., & Mat, N. K. N. (1970). Modeling the antecedents of internet banking service adoption (IBSA) in Jordan: A Structural Equation Modeling (SEM) approach. The Journal of Internet Banking and Commerce, 16(1), 1–15. https://www.icommercecentral.com/open-access/modeling-the-antecedents-of-internet-banking-service-adoption-ibsa-in-jordan-a-structural-equation-modeling-sem-approach.php?aid=38141
Cheng, Y. H., & Huang, T. Y. (2013). High speed rail passengers’ mobile ticketing adoption. Transportation Research Part C: Emerging Technologies, 30, 143–160. https://doi.org/10.1016/J.TRC.2013.02.001
Chong, L. L., Ong, H. B., & Tan, S. H. (2021). Acceptability of mobile stock trading application: A study of young investors in Malaysia. Technology in Society, 64, 101497. https://doi.org/10.1016/J.TECHSOC.2020.101497
Curran, J. M., & Meuter, M. L. (2005). Self-service technology adoption: Comparing three technologies. Journal of Services Marketing, 19(2), 103–113. https://doi.org/10.1108/08876040510591411/FULL/XML
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.
Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725–737. https://doi.org/10.1016/S0305-0483(00)00021-9
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management, 43(6), 740–755. https://doi.org/10.1016/j.im.2006.05.003
Lee, M. C. (2009). Predicting and explaining the adoption of online trading: An empirical study in Taiwan. Decision Support Systems, 47(2), 133–142. https://doi.org/10.1016/J.DSS.2009.02.003
Lee, T. (2005). The Impact of Perceptions of Interactivity on Customer Trust and Transaction Intentions in Mobile Commerce. Journal of Electronic Commerce Research, 6(3).
Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19(5), 469–479. https://doi.org/10.1016/0022-1031(83)90023-9
Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. Journal of High Technology Management Research, 23(1), 1–14. https://doi.org/10.1016/j.hitech.2012.03.001
Naufaldi, I., & Tjokrosaputro, M. (2020). Pengaruh Perceived Ease Of Use, Perceived Usefulness, dan Trust terhadap Intention To Use. Jurnal Manajerial Dan Kewirausahaan, 2(3), 715–722. https://doi.org/10.24912/JMK.V2I3.9584
Park, E., Baek, S., Ohm, J., & Chang, H. J. (2014). Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model. Telematics and Informatics, 31(1), 3–15. https://doi.org/10.1016/J.TELE.2013.07.001
Pham, T. T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172. https://doi.org/10.1016/J.TECHSOC.2015.05.004
Ramayah, T., Rouibah, K., Gopi, M., & Rangel, G. J. (2009). A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors. Computers in Human Behavior, 25(6), 1222–1230. https://doi.org/10.1016/j.chb.2009.06.007
Wessels, L., & Drennan, J. (2010). An investigation of consumer acceptance of M-banking. International Journal of Bank Marketing, 28(7), 547–568. https://doi.org/10.1108/02652321011085194/FULL/XML
Wu, I. L., & Chen, J. L. (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human Computer Studies, 62(6), 784–808. https://doi.org/10.1016/j.ijhcs.2005.03.003
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