Faktor yang memengaruhi intensi penggunaan mobile payment berkelanjutan di kalangan gen z: Ekstensi dari expectation confirmation model
DOI:
https://doi.org/10.61511/jyoa.v1i2.2024.1390Keywords:
continuance intention; ECM; gen z; m-payment; UTAUT2.Abstract
Background: Indonesia’s fintech industry is rapidly growing, driven by the acceleration of digitalization during the pandemic and positive investor engagement in the Fintech category in ASEAN. Findings: As a developing country with a large unbanked population, the use of m-payments has the potential to help improve financial inclusion through better access to useful and affordable financial services. Methods: This study combines UTAUT2 and ECM to investigate factors that significantly influence the continuance intention in using m-payments among Gen Z as potential target customers in Indonesia. Conclusion: The findings showed that continuance intention to use m-payments was positively influenced by Habit, Hedonic Motivation, Satisfaction, Facilitating Condition. There is also an indirect effect of Performance Expectancy on continuance intentions through the mediation of the Satisfaction. In addition, the study found the mediating role of Performance Expectancy in the relationship between Effort Expectancy and Confirmation on Satisfaction.
References
Aarts, H., Verplanken, B., van Knippenberg, A., 1998. Predicting behavior from actions in the past: repeated decision making or a matter of habit? J. Appl. Soc. Psychol. 28 (15), 1355–1374. https://psycnet.apa.org/doi/10.1111/j.1559-1816.1998.tb01681.x
Al-Saedi, K., Al-Emran, M., Ramayah, T. and Abusham, E. (2020), “Developing a general extended UTAUT model for M-payment adoption”, Technology in Society, Vol. 62, p. 101293. https://doi.org/10.1016/j.techsoc.2020.101293
Albanna, H., Abdallah, A., Al-Emran, M., (2022). An integrated model for using social media applications in non-profit organizations. https://doi.org/10.1016/j.ijinfomgt.2021.102452
Aarts, H., Verplanken, B., & van Knippenberg, A. (1998). Predicting behavior from actions in the past: Repeated decision making or a matter of habit? Journal of Applied Social Psychology, 28, 13551374. https://psycnet.apa.org/doi/10.1111/j.1559-1816.1998.tb01681.x
Aarts, H., van Knippenberg, A., & Moonen, A. (1998). Habit versus planned behavior: A field experiment. British Journal of Social Psychology. https://doi.org/10.1111/j.2044-8309.1998.tb01160.x
Adrian Holzer, Jan Ondrus, “Mobile Application Market: A Developer’s Perspective”, Telematics & Informatics, Feb 2011, Vol. 28, No. 1. https://doi.org/10.1016/j.tele.2010.05.006
Alampay E. A., Moshi G. C., Ghosh I., Peralta M. L. C., Harshanti J. (2017). The impact of mobile financial services in low-and lower-middle-income countries. International Development Research Centre, Ottawa, Canada, and the Department for International Development. Anderson, E. W., and Sullivan, M. W. ìThe Antecedents and Consequences of Customer Satisfaction for Firms, Marketing Science (12:2), Spring 1993. https://eppi.ioe.ac.uk/CMS/Portals/0/PDF%20reviews%20and%20summaries/Mobile%20financial%202017%20Alampay%20report.pdf
Ajzen, I., and Fishbein, M. (2000). “Attitudes and the AttitudeBehavior Relation: Reasoned and Automatic Processes,” European Review of Social Psychology.
Boston Consulting Group. (2020). “Southeast Asian consumers are driving a digital payment revolution”. Retrieved 10, February 2023 from www.bcg.com/publications/2020/southeast-asian-consumers-digitalpayment-revolutions
Canh N. P., Schinckus, C., Thanh, S. D., Ling, F. C. H. (2020). Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis. Telecommunications Policy, 44(10), 102041. https://doi.org/10.1016/j.telpol.2020.102041
Cao, Xiongfei. (2018) "Understanding Mobile Payment Users ’ Continuance Intention : A Trust Transfer Perspective." 28 (2): 456–76.
Covid-19 and digital payments: How the pandemic changed G2P payments globally. CSIS Events. (2020). Retrieved February 11, 2023, from https://www.csis.org/events/covid-19-and-digital-payments-how-pandemic-changed-g2p-payments-globally
Chen S.C., Liu S.C., Li S.H., Yen D.C. (2013). Understanding the mediating effects of relationship quality on technology acceptance: An empirical study of e-appointment system. https://doi.org/10.1007/s10916-013-9981-0
Chiu, C.-M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information Management, 45(3), 194–201. https://doi.org/10.1016/j.im.2008.02.003
Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399–416. https://doi.org/10.1016/j.compedu.2004.06.001
Cho, J. (2016). The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87, 75–83.
Collis, J., & Hussey, R. (2013). Business Research: A Practical Guide for Undergraduate and Postgraduate Students. London: Palgrave Macmillan. https://www.scirp.org/reference/referencespapers?referenceid=2407189
Dabholkar, P. A.; Shepard, C. D.; and Thorpe, D. I. (2000). A Comprehensive Framework for Service Quality: An Investigation of Critical Conceptual and Measurement Issues Through a Longitudinal Study, Journal of Retailing. https://doi.org/10.1016/S0022-4359(00)00029-4
Digital around the world: global digital insights. DataReportal. (n.d.). Retrieved February 1, 2023, from https://datareportal.com/global-digital-overview
Dimock, M. (2019), “Defining generations: where millennials end and Generation Z begins”, Pew Research Center, Vol. 17 No. 1, pp. 1-7. https://www.scirp.org/reference/referencespapers?referenceid=3619831
Elzahi Ali, A. (2022). Empowering the poor through financial and social inclusion in Africa. Palgrave Macmillan. https://www.scirp.org/reference/referencespapers?referenceid=3619831
Febrina, A., Wuri, P., Rifky, M., (2020). Environment factors affecting individual’s continuance usage of mobile payment technology in Indonesia. https://doi.org/10.1080/23311916.2020.1846832
Fintech in ASEAN 2022: Finance, reimagined report: UOB. United Overseas Bank. (2022). Retrieved February 11, 2023, from https://www.uobgroup.com/techecosystem/news-insights-fintech-in-asean-2022.html
Francis, T., & Hoefel, F. (2018, November 12). “True gen”: Generation Z and its implications for companies. McKinsey & Company. Retrieved May 26, 2023, from https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/true-gen-generation-z-and-its-implications-for-companies
Gen Z Social Media User Stats (2020-2025). (2023, January 19). Insider Intelligence. Retrieved May 26, 2023, https://www.insiderintelligence.com/charts/us-genz-social-media-users/
Asean Fintech Report 2022. United Overseas Bank.. (2022). Retrieved February 11, 2023, from https://www.uobgroup.com/uobgroup/newsroom/2022/asean-fintech-report-2022.page?path=data/uobgroup/2022/255&cr=segment
Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers. Journal of End User Computing, 15(3), 1–13. https://doi.org/10.4018/joeuc.2003070101
Hayashi, F., and T. Bradford. 2014. Mobile Payments: Merchants’ Perspectives. Economic Review, Second Quarter: 33–58. https://econpapers.repec.org/article/fipfedker/00014.htm
Hasil Sensus Penduduk 2021. Badan Pusat Statistik. (2021). Retrieved February 11, 2023, from https://demakkab.bps.go.id/news/2021/01/21/67/hasil-sensus-penduduk-2020.html
Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis: A global perspective. Upper Saddle River, NJ: Pearson Education International. https://books.google.co.id/books/about/Multivariate_Data_Analysis.html?id=SLRPLgAACAAJ&redir_esc=y
Humbani, Michael, and Melanie Wiese. (2019) "An Integrated Framework for the Adoption and Continuance Intention to Use Mobile Payment Apps." International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-03-2018-0072
Hsiao, C. H., Chang, J. J., & Tang, K. Y. (2016). Exploring the influential factors in continuance usage of mobile social apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342–355. https://doi.org/10.1016/j.tele.2015.08.014
Hsu, C.-L., & Lin, J. C.-C. (2015). What drives purchase intention for paid mobile apps? – An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46–57. https://doi.org/10.1016/j.elerap.2014.11.003
Inklusi Keuangan Jakarta tertinggi di Indonesia pada 2022. Dataindonesia.id. (2022, November 25). Retrieved February 3, 2023, from https://dataindonesia.id/bursa-keuangan/detail/inklusi-keuangan-jakarta-tertinggi-di-indonesia-pada-2022
Jaiswal, D., Kausal, V., Mohan, A., Thaichon, P. (2022). Mobile wallets adoption: pre- and post-adoption dynamics of mobile wallets usage.
Kalinić, Z., J, Francisco, Cabanillas, L., Muñoz-Leiva, F., Marinković, V. (2019). The moderating impact of gender on the acceptance of peer-to-peer mobile payment systems. International Journal of Bank Marketing, 38(1), 138–158. https://doi.org/10.1108/ijbm-01-2019-0012
Kline RB. 2005. Princple and Practice of Structural Equation Modeling, 2edition. London: Guidford Press. https://dl.icdst.org/pdfs/files4/befc0f8521c770249dd18726a917cf90.pdf
Kim, Y., Crowston, K., (2012). Technology adoption and use theory review for studying scientists' continued use of cyber-infrastructure. Proceedings of the American Society for Information Science and Technology. https://doi.org/10.1002/meet.2011.14504801197
Koenig-Lewis, Nicole; Marquet, Morgan; Palmer, Adrian; Zhao, Anita Lifen (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/02642069.2015.1043278
Lee, J.M., Lee, B. and Rha, J.Y. (2019), “Determinants of mobile payment usage and the moderating effect of gender: extending the UTAUT model with privacy risk”, International Journal of Electronic Commerce Studies, Vol. 10 No. 1, pp. 43-64. https://doi.org/10.7903/ijecs.1644
Liao, C., Palvia, P., and Lin, H-N. (2006) ―The Roles of Habit and Web Site Quality in E-Commerce. International Journal of Information Management. 26(6), 469-483. https://doi.org/10.1016/j.ijinfomgt.2006.09.001
Limayem, M., & Hirt, S. G. (2003). Force of habit and information systems usage: Theory and initial validation. Journal of the Association for Information Systems, 4, 6597.
Limayem, M., Hirt, S.G., Cheung, M.K. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Q. 31 (4), 705–737. https://doi.org/10.2307/25148817
Loehlin, J.C., 1998. Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. Lawrence Erlbaum Associates, Mahwah, NJ. https://doi.org/10.4324/9781410609823
Liu, Z., Ben, S., & Zhang, R. (2019). Factors affecting consumers’ mobile payment behavior: a meta-analysis. Electronic Commerce Research, 19(3), 575–601. https://doi.org/10.1007/s10660-019-09349-4
Lisana, L. (2021), "Factors influencing the adoption of mobile payment systems in Indonesia", International Journal of Web Information Systems, Vol. 17 No. 3, -10. https://doi.org/10.1108/IJWIS-01-2021-0004.
Lisana, L. (2022). Understanding the key drivers in using mobile payment among Generation Z. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-08-2021-0118.
Leone, L., Perugini, M., & Ercolani, A. P. (1999). A comparison of three models of attitude-behavior relationships in the studying behavior domain. European Journal of Social Psychology.MDI and Mandiri Sekuritas (2019), “Mobile Payments in Indonesia: race to big data domination”. Retrieved February 1, 2023, from www.mdi.vc/mobilepaymentindonesia.pdf
Lin, H. H., & Wang, Y. S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information & Management, 43(3), 271–282.
Maillet, É., Mathieu, L. and Sicotte, C. (2015), “Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an electronic patient record in acute care settings: an extension of the UTAUT”, International Journal of Medical Informatics, Vol. 84 No. 1, pp. 36-47. https://doi.org/10.1016/j.ijmedinf.2014.09.004
Malhotra, N., & Birks, D. (2007). Marketing Research: an applied approach: 3rd European Edition. Pearson education. https://eprints.soton.ac.uk/37070/
Mind the gap: Playing the gen Z game. Mckinsey management consulting. (2022.). Retrieved May 27, 2023, from https://www.mckinsey.com/~/media/mckinsey/email/genz/2022/05/10/2022-05-10b.html
Muthiariny, D. E. (2022, June 24). Bank Indonesia: Electronic transactions in May 2022 reach RP32 Trillion. Tempo. Retrieved February 1, 2023, from https://en.tempo.co/read/1605289/bank-indonesia-electronic-transactions-in-may-2022-reach-rp32-trillion
Moorthy, K., Chun T’ing, L., Chea Yee, K., Wen Huey, A., Joe In, L., Chyi Feng, P. and Jia Yi, T. (2020), “What drives the adoption of mobile payment? A Malaysian perspective”, International Journal of Finance and Economics, Vol. 25 No. 3, pp. 349-364. https://doi.org/10.1002/ijfe.1756
N, Koenig-Lewis; M, Marquet; A, Palmer;, A, Zhao. (2015). Enjoyment and social influence: predicting mobile payment adoption. https://doi.org/10.1080/02642069.2015.1043278
Nam, K., Baker, J., Ahmad, N., & Goo, J. (2019). Determinants of writing positive and negative electronic word-of-mouth: Empirical evidence for two types of expectation confirmation. https://doi.org/10.1016/j.dss.2019.113168
Oliver, R. L., and Linda, G. (1981). Effect of Satisfaction and Its Antecedents on Consumer Preference and Intention, in Advances in Consumer Research (8), K. B. Monroe, Association for Consumer Research, Ann Arbor. https://www.scirp.org/reference/referencespapers?referenceid=2672888
Ouellette, J. A., & Wood, W. (1998). Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychological Bulletin. https://psycnet.apa.org/doi/10.1037/0033-2909.124.1.54
Okocha, F. O., & Adibi, V. A. (2020). Mobile banking adoption by business executives in Nigeria. African Journal of Science, Technology, Innovation and Development, 12(7), 847–854. https://ideas.repec.org/a/taf/rajsxx/v12y2020i7p847-854.html
Puriwat, W., & Tripopsakul, S. (2021). Customer Engagement with Digital Social Responsibility in Social Media: A Case Study of COVID-19 Situation in Thailand. Journal of Asian Finance, Economics and Business, 8(2), 475-483. https://doi.org/10.13106/jafeb.2021.vol8.no2.0475
Pramana, E. (2021), “The mobile payment adoption: a systematic literature review”, 2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT), IEEE, pp. 265-269.
Rahardyan, A. (2021, September 9). Literasi Keuangan ri Masih Rendah, Fintech P2P Dan Pembayaran Bisa Jadi Booster. Bisnis.com. Retrieved February 11, 2023, from https://finansial.bisnis.com/read/20210909/90/1440297/literasi-keuangan-ri-masih-rendah-fintech-p2p-dan-pembayaran-bisa-jadi-booster
Roztocki, N., Soja, P., & Weistroffer, H. R. (2019). The role of information and communication technologies in socioeconomic development: Towards a multi-dimensional framework. Information Technology for Development, 25(2), 171–183. https://doi.org/10.1080/02681102.2019.1596654
Sasongko, D. T., Handayani, P. W., & Satria, R. (2022). Analysis of factors affecting continuance use intention of the electronic money application in Indonesia. Procedia Computer Science, 197, 42–50. https://doi.org/10.1016/j.procs.2021.12.116
Sata, Mesay. (2008). Consumer Buying Behavior of Mobile Phone Devices. Journal of Marketing and Consumer Research.
Shuiqing Yang; Yaobin Lu; Sumeet Gupta; Yuzhi Cao; Rui Zhang (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. , 28(1), 129–142. https://doi.org/10.1016/j.chb.2011.08.019
Seethamraju, R., Garg, S., Diatha, K. (2018). Intention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model. Journal of Information System Frontiers. https://link.springer.com/article/10.1007/s10796-017-9801-z
Sumadi Suryabrata. (2013). Metodologi Penelitian. Penerbit PT Raja Grafindo Persada. https://inlislite.uin-suska.ac.id/opac/detail-opac?id=2596
Singh, S. and Srivastava, R.K. (2018), “Predicting the intention to use mobile banking in India”, International Journal of Bank Marketing, Vol. 36 No. 2, pp. 357-378. https://doi.org/10.1108/IJBM-12-2016-0186
Sivathanu, B. (2019), “Adoption of digital payment systems in the era of demonetization in India: an empirical study”, Journal of Science and Technology Policy Management, Vol. 10 No. 1. https://doi.org/10.1108/JSTPM-07-2017-0033
Suharyadi, & Purwanto. (2003). Statistika untuk Ekonomi. Jakarta: Salemba Empat.
Sleiman, K. A. A., Juanli, L., Lei, H., Liu, R., Ouyang, Y., & Rong, W. (2021). User trust levels and adoption of mobile payment systems in China: An empirical analysis. Sage Open, 11(4), 21582440211056599. https://doi.org/10.1177/21582440211056599
Slade, E.L., Dwivedi, Y.K., Piercy, N.C. and Williams, M.D. (2015), “Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust”, Psychology & Marketing, Vol. 32 No. 8. https://doi.org/10.1002/mar.20823
Tam, Carlos; Santos, Diogo; Oliveira, Tiago (2018). Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Information Systems Frontiers, https://doi.org/10.1007/s10796-018-9864-5.
Turban, E., Lee, J., King, D., & Chung, H. M. (2000). Electronic commerce: A managerial perspective. Englewood Cliffs, NJ: Prentice-Hill. Verplanken, B.
Trafimow, D. (2000). Habit as both a direct cause of intention to use a condom and as a moderator of the attitude-intention and subjective. https://doi.org/10.1080/08870440008402000
Tse, D. K., and Wilton, P. C. Models of Consumer Satisfaction: An Extension, Journal of Marketing Research (25), May 1988, pp. 204- 212. https://doi.org/10.2307/3172652
Vallerand, R.J. (1997), “Toward a hierarchical model of intrinsic and extrinsic motivation”, Advances in Experimental Social Psychology, Vol. 29, pp. 271-360. https://doi.org/10.1016/S0065-2601(08)60019-2.
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: toward a unified view”, MIS Quarterly, Vol. 27 No. 3, pp. 425-478. https://doi.org/10.2307/30036540.
Venkatesh, V., Thong, J.Y.L. and Xu, X. (2012), “Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology”, MIS Quarterly, Vol. 36 No. 1, pp. 157-178, https://doi.org/10.2307/41410412.
Wijanto, Setyo Hari, Metode Penelitian Menggunakan Structural equation Modeling dengan Lisrel 9 (2015), Jakarta: Fakultas Ekonomi Universitas Indonesia. https://lib.ui.ac.id/detail?id=20407236
Wang, L. and Dai, X. (2020), “Exploring factors affecting the adoption of mobile payment at physical stores”, International Journal of Mobile Communications, Vol. 18 No. 1, pp. 67-82.
Wei, M.F., Luh, Y.H., Huang, Y.H. and Chang, Y.C. (2021), “Young generation’s mobile payment adoption behavior: analysis based on an extended UTAUT model”, Journal of Theoretical and Applied Electronic Commerce Research, Vol. 16 No. 4, pp. 618-637. https://doi.org/10.3390/jtaer16040037
Wirtz, J., Patterson, P.G., Kunz, W.H., Gruber, T., Lu, V.N., Paluch, S., Martins, A., 2018. Brave new world: Service robots in the frontline. Journal of Service Management 29 (5), 907–931. https://doi.org/10.1108/JOSM-04-2018-0119.
Worldpay. Global Payments Reports. 2022. Retrieved February 1, 2023, from https://worldpay.globalpaymentsreport.com/
Xu, C., Peak, D., & Prybutok, V. (2015). A customer value, satisfaction, and loyalty perspective of mobile application recommendations. https://doi.org/10.1016/j.dss.2015.08.008
Zhao, Y. and Bacao, F. (2021), “How does the pandemic facilitate mobile payment? An investigation on users’ perspective under the COVID-19 pandemic”, International Journal of Environmental Research and Public Health, Vol. 18 No. 3, p. 1016. https://doi.org/10.3390/ijerph18031016
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