THE IMPACT OF MINDFULNESS ON MOBILE PAYMENT TOOL USAGE
Universitas Islam Indonesia
DOI:
https://doi.org/10.56943/joe.v2i3.350The application of mobile payment has not been spread to all Indonesians. However, there are many companies that have started to release and develop their own versions of mobile payment systems. Mobile payment systems, which are innovative forms of financial processing, connect customers and vendors online to complete transactions. The implication of mindfulness has been implicated in many mobile business intelligence technologies. Therefore, this research aims to determine the implications of mindfulness on mobile payment; to analyze hypotheses regarding the performance of mindfulness in affecting perceived usefulness, perceived ease of use, subjective norms, and attitudes. SEM applies with statistical methods in representing data and applies many models in achieving research objectives and resolving research problems. There were 251 data that represented active users who had experience in using mobile payments. The results of this research indicate that mindfulness has good exploratory strength in predicting consumer intention to adopt mobile payment, and it is proven that has a positive and significant impact on its four dimensions such as perceived ease of use, perceived benefits, and attitudes, which directly affect the intention to use.
Keywords: Intention to Use Mindfulness Mobile Payment
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Carr Jr, V. H. (1999). Technology adoption and diffusion. The Laerning Center for Interactive Technology.
Chang, M. K. (1998). Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behavior. Journal of Business Ethics, 17, 1825–1834.
Chen, B., & Sintov, N. (2016). Bridging the gap between sustainable technology adoption and protecting natural resources: Predicting intentions to adopt energy management technologies in California. Energy Research & Social Science, 22, 210–223.
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Management Information Systems Research Center, University of Minnesota, 13(3), 319–340.
Feruglio, S., Matiz, A., Pagnoni, G., Fabbro, F., & Crescentini, C. (2021). The Impact of Mindfulness Meditation on the Wandering Mind: a Systematic Review. Neuroscience & Biobehavioral Reviews, 131, 313–330.
Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading.
Flavian, C., Guinaliu, M., & Lu, Y. (2020). Mobile payments adoption – introducing mindfulness to better understand consumer behavior. The International Journal of Bank Marketing, 38(7), 1575–1599.
Gan, C., Cohen, D., Hu, B., Tran, M., Dong, W., & Wang, A. (2016). The relationship between credit card attributes and the demographic characteristics of card users in China. International Journal of Bank Marketing, 34(7), 966–984.
Ghozali, I. (2016). Aplikasi Analisis Multivariate dengan Program IBM SPSS 23. Badan Penerbit Universitas Diponegoro.
Gupta, R., Ranjan, S., & Gupta, A. (2021). Consumer’s Perceived Trust and Subjective Norms as Antecedents of Mobile Wallets Adoption and Continuance Intention: A Technology Acceptance Approach. In Recent Advances in Technology Acceptance Models and Theories.
Hampshire, C. (2017). A Mixed Methods Empirical Exploration of UK Consumer Perceptions of Trust, Risk and Usefulness of Mobile Payments. International Journal of Bank Marketing, 354–369.
Indarsin, T., & Ali, H. (2017). Attitude towards Using m-Commerce: The Analysis of Perceived Usefulness, Perceived Ease of Use, and Perceived Trust: Case Study in Ikens Wholesale Trade, Jakarta-Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007.
Jung, J.-H., Kwon, E., & Kim, D. H. (2020). Mobile payment service usage: U.S. consumers’ motivations and intentions. Computers in Human Behavior Reports, 1.
Lai, P. (2017). The Literature Review of Technology Adoption Models and Theories for The Novelty Technology. Jistem: Journal of Information Systems and Technology Management, 14(1), 21–38.
Lam, S. Y., & Shankar, V. (2014). Asymmetries in the Effects of Drivers of Brand Loyalty Between Early and Late Adopters and Across Technology Generations. Journal of Interactive Marketing, 28(1), 26–42. https://doi.org/10.1016/j.intmar.2013.06.004
Liébana-Cabanillas, F., Marinkovic, V., Luna, I. R. de, & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130.
Liébana-Cabanillas, F., Molinillo, S., & Ruiz-Montañez, M. (2019). To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation. Technological Forecasting and Social Change, 139, 266–276.
Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2018). A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Serv Bus 12, 25–64.
Lin, W. R., Lin, C.-Y., & Ding, Y.-H. (2020). Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan. Mathematics, 8(10), 1–19.
Lwoga, E. T., & Lwoga, N. B. (2017). User Acceptance of Mobile Payment: The Effects of User-Centric Security, System Characteristics and Gender. Electronic Journal of Information Systems in Developing Countries, 81(3), 1–24.
Matondang, F. N., & Wahyuni, D. S. (2023). The Effect of Brand Image and Quality Service on Saving Decisions with Competitive Advantage as an Intervening Variable at Bank DKI Mayor Branch, East Jakarta. UTSAHA (Journal of Entrepreneurship), 2(2). https://journal.jfpublisher.com/index.php/joe/article/view/287
Miller, R. L. (2015). Rogers’ Innovation Diffusion Theory (1962, 1995). Information Seeking Behavior and Technology Adoption: Theories and Trends, 14.
Montano, D. E., & Kasprzyk, D. (2015). Theory of Reasoned Action, Theory of Planned Behavior, and The Integrated Behavioral Model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health Behavior and Health Education Theory, Research, and Practice (4th Ed, p. 590). Jossey-Bass.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414.
Oredo, J., & Njihia, M. (2014). Mindfulness and Quality of Innovation in Cloud Computing Adoption. International Journal of Business and Management, 10(1).
Pantano, E., & Priporas, C.-V. (2016). The effect of mobile retailing on consumers’ purchasing experiences: A dynamic perspective. Computers in Human Behavior, 61, 548–555.
Papagiannidis, S. (2022). Theoryhub Book A theory Resource for Students and Researchers Alike. Newcastle upon Tyne.
Park, J., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47, 140–149.
Peter, J. P., & Olson, J. C. (2014). Perilaku Konsumen dan Strategi Pemasaran (9th ed.). Salemba Empat.
Raman, R., & McClelland, L. E. (2019). Bringing compassion into information systems research: A research agenda and call to action. Journal of Information Technology, 34(1).
Reshma. (2017). Effect of Demonetisation in India. International Journal of Marketing and Financial Management, 5(3), 6–10.
Sangadji, E. M., & Sopiah. (2013). Perilaku konsumen : Pendekatan praktis disertai himpunan jurnal penelitian (1st ed.). Andi.
Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90–103.
Schuman-Olivier, Z., Trombka, M., Lovas, D. A., Brewer, J. A., Vago, D. R., Gawande, R., Dunne, J. P., Lazar, S. W., Loucks, E. B., & Fulwiler, C. (2020). Mindfulness and Behavior Change. Harvard Review of Psychiatry, 28(6), 371–394.
Shin, S., & Lee, W.-J. (2021). Factors affecting user acceptance for NFC mobile wallets in the U.S. and Korea. Innovation and Management Review, 18(4), 417–433.
Sudaryati, E., Agustia, D., & Syahputra, M. I. (2017). The Influence of Perceived Usefulness, Perceived Ease of Use, Attitude, Subjective Norm, and Perceived Behavioral Control to Actual Usage Psak 45 Revision on 2011 with Intention as Intervening Variable in Unair Financial Department. Advances in Intelligent Systems Research, 131, 86–92.
Sun, H., & Fang, Y. (2010). Toward a Model of Mindfulness in Technology Acceptance. Proceedings of the International Conference on Information Systems, 12–15.
Sun, H., Fang, Y., & Zou, H. (2016). Choosing a Fit Technology: Understanding Mindfulness in Technology Adoption and Continuance. Journal of the Association for Information Systems, 17(6).
Sung, E., & Mayer, R. (2012). Students’ beliefs about mobile devices Vs. desktop computers in South Korea and the United States. Computers and Education, 59(4), 1328–1338.
Svenningsson, J., Höst, G., Hultén, M., & Hallström, J. (2021). Students’ attitudes toward technology: exploring the relationship among affective, cognitive and behavioral components of the attitude construct. International Journal of Technology and Design Education, 32, 1531–1551.
Tarkiainen, A., & Sundqvist, S. (2005). Subjective norms, attitudes and intentions of Finnish consumers in buying organic food. British Food Journal, 107(11), 808–822.
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144–176.
Teo, T., & Zhou, M. (2014). Explaining the intention to use technology among university students: A structural equation modeling approach. Journal of Computing in Higher Education, 26(2).
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. Management Information Systems Research Center, University of Minnesota, 15(1), 125–143.
Tona, O., & Carlsson, S. A. (2014). The Mindfulness and Mindlessness in Mobile Business Intelligence Adoption. International Conference on Information Systems Development, 23–30.
Wardana, A. A., Saputro, E. P., Wahyuddin, M., & Abas, N. I. (2022). The Effect of Convenience, Perceived Ease of Use, and Perceived Usefulness on Intention to Use EWallet (Empirical Study on Generation Z in Surakarta). Advances in Economics, Business and Management Research, 218, 386–395.
Wirtz, J., & Lovelock, C. (2022). Service Marketing Communications: People, Technology, Strategy. World Scientific.
Woo, E., & Kim, Y. G. (2019). Consumer attitudes and buying behavior for green food products. British Food Journal, 121(2), 320–332. https://doi.org/10.1108/BFJ-01-2018-0027
Yunita, S., & Andajani, E. (2020). The Effects of Mobile Payment Dimensions toward Continuance Intention in Surabaya. IPTEK Journal of Proceedings Series, 1, 308–316.
Zhou, J. (2017). Exploring the factors affecting learners’ continuance intention of MOOCs for online collaborative learning: An extended ECM perspective. Australasian Journal of Educational Technology, 33(5), 123–135.
