Peran intention to use dalam meningkatkan loyalitas penggunaan financial technologi pada generasi XYZ di Indonesia

Authors

  • Rizki Sri Lasmini Universitas Negeri Padang
  • Astra Prima Budiarti Universitas Negeri Padang
  • Awisal Fasyni Universitas Negeri Padang
  • Yolandafitri Zulvia Universitas Negeri Padang

DOI:

https://doi.org/10.26740/jim.v11n1.p211-221

Keywords:

data security and privacy, intention to adopt fintech, loyalty to use fintech, perceived of usefulness, quality and administrative service

Abstract

Currently, there is a significant increase in users of financial technology. Financial technology is applied to payment systems and banking transactions. This research focuses on financial technology that is used in the payment system. The public's need for financial technology in the payment system has increased since the Covid-19 pandemic. Along with restrictions on community activities in Indonesia, many actions must be carried out online using technology. This study examines the factors that influence the perceived usefulness of financial technology. By looking at this factor, companies can find out what factors encourage users to continue using financial technology for a long time. For example, when the Covid-19 pandemic is over, users continue to use financial technology services because they find it easy to make transactions. Besides that, companies must know the factors that encourage users to entrust their payment activities using financial technology services to increase competitive advantage. These factors include trust, data security and privacy, quality of administrative services, perceived usefulness, and intention to adopt fintech. This research is quantitative by using Structural Equation Model (SEM). Research data was obtained by distributing questionnaires. The result of this research is that perceived usefulness and intention to adopt fintech influence significantly and directly to loyalty to use fintech.

References

Aisyah, M., (2018). Islamic bank service quality and its impact on Indonesian customers’ satisfaction and loyalty. Al-Iqtishad, 10(2), 367–388.

Anderson, K.C., Knight, D.K., Pookulangara, S., Josiam, B., (2014). Influence of hedonic and utilitarian motivations on retailer loyalty and purchase intention: a Facebook perspective. Journal of Retailing and Consumer Services, 21(5), 773–779.

Alkhwaldi, A.F., Alharasis, E.E., Shehadeh, M., Abu-AlSondos, I.A., Oudat, M.S., Bani Atta, A.A. Towards an Understanding of FinTech Users’ Adoption: Intention and e-Loyalty Post-COVID-19 from a Developing Country Perspective. Sustainability, 14, 1–23.

Baker, S.R., Farrokhnia, R.A., Meyer, S., Pagel, M., Yannelis, C., (2020). How Does Household Spending Respond to an Epidemic? Consumption during the 2020 Covid 19 Pandemic. The Review of Asset Pricing Studies 10(4), 834–862, https://doi.org/10.1093/rapstu/raaa009

Belanche, D., Casalo, L.V., Flavian, C., (2019). Artificial intelligence in fintech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411–1430.

Billore, S., Billore, G., (2020). Consumption switch at haste: insights from Indian low income customers for adopting fintech services due to the pandemic. Transnational Marketing Journal. 8 (2), 197–218.

Byrnes, S., (2020). Can Consumer Data Privacy Coexist with How Businesses Want to Use Data? Forbes. Retrived 1 January 2021 from https://www.forbes.com/sites/forbestechcouncil/2020/04/27/can-consumer-data-privacy-coexist-with-how-businesses-want-to-use-data/?sh=f6ca29928180.

Chang, Y., Wong, S.F., Lee, H., Jeong, S.P., (2016). What motivates Chinese consumers to adopt fintech services: a regulatory focus theory. Proceedings of the 18th Annual International Conference on Electronic Commerce: ECommerce in Smart Connected World, 1–3, https://doi.org/10.1145/2971603.2971643

Chuang, L.-M., Liu, C.-C., Kao, H.-K., (2016). The adoption of fintech service: tamperspective. International Journal of Management and Administrative Sciences, 3(7), 1–15.

Corstjens, M., Lal, R., (2000). Building store loyalty through store brands. Journal of Marketing Research 37(3), 281–291.

Das, S.R., (2019). The future of fintech. Financial Management, 48(4), 981–1007.

Davis, F.D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Davis, F.D., Bagozzi, R.P., Warshaw, P.R., (1989a). User acceptance of computer technology. Journal of Management Science, 35(8), 982–1003.

Fernando, E., Touriano, D., (2018). Development and validation of instruments adoption fintech services in Indonesia (perspective of trust and risk). the 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 283–287.

Gefen, D., (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725–737.

Gimpel, H., Rau, D., Roglinger, M., (2018). Understanding fintech start-ups–a taxonomy of consumer-oriented service offerings. Electronic Markets, 28(3), 245–264.

Hansen, J.M., Saridakis, G., Benson, V., (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197–206.

Hu, Z., Ding, S., Li, S., Chen, L., Yang, S., (2019). Adoption intention of fintech services for bank users: an empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340.

Lara-Rubio, J., Villarejo-Ramos, A.F., Liébana-Cabanillas, F., (2020). Explanatory and predictive model of the adoption of P2P payment systems. Behaviour & Information Technology. 1–14.

Jung, J.-H., Shin, J.-I., (2019). The effect of choice attributes of internet specialized banks on integrated loyalty: the moderating effect of gender. Sustainability, 11(24), 7063.

Kang, J., (2018). Mobile payment in fintech environment: trends, security challenges, and services. Human-centric Computing and Information Sciences, 8(1), 1–16.

Kauflin, J., (2020). The 10 Biggest Fintech Companies in America 2020. Forbes. Retrived 1 January 2021 from https://www.forbes.com/sites/jeffkauflin/2020/02/12/the-10-biggest-fintech-companies-in-america-2020/

Larsson, A., (2018). Responding to the fintech challenge: a study of Swedish bank managers’ perceptions of fintech’s effects on digitalization and customer e-loyalty. In: The Rise and Development of Fintech. Routledge.

Lee, J., Ryu, M.H., Lee, D., (2019). A study on the reciprocal relationship between user perception and retailer perception on platform-based mobile payment service. Journal of Retailing and Consumer Services, 48, 7–15.

Le, Min, T.H, (2021). Examining factors that boost intention and loyalty to use Fintech post-COVID-19 lockdown as a new normal behavior. Retrived 1 December 2021 from https://www.cell.com/heliyon/fulltext/S2405-8440(21)01924-1.

Lewis, J.D., Weigert, A., (1985). Trust as a social reality. Social Forces, 63(4), 967–985.

Lim, S.H., Kim, D.J., Hur, Y., Park, K., (2019). 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, 35(10), 886–898.

Moon, J.-W., Kim, Y.-G., (2001). Extending the tam for a World-Wide-Web context. Information & Management, 38(4), 217–230.

Noor, U., Anwar, Z., Amjad, T., Choo, K.-K.R., (2019). A machine learning-based fintech cyber threat attribution framework using high-level indicators of compromise. Future Generation Computer Systems, 96, 227–242.

Puschmann, T., (2017). Fintech. Business & Information Systems Engineering, 59(1), 69–76

Razzaque, A., Cummings, R.T., Karolak, M., Hamdan, A., (2020). The propensity to use fintech: input from bankers in the kingdom of Bahrain. Journal of Information & Knowledge Management, 19(1), 1–22. https://doi.org/10.1142/S0219649220400250

Salz, P.A., (2020). Mobile Marketing Experts Show How Fintech Apps Will Emerge Fighting Fit from the Covid-19 Crisis. Forbes. Retrived 1 December 2021 from https://www.forbes.com/sites/peggyannesalz/2020/05/04/mobile-marketingexperts-show-how-fintech-apps-will-emerge-fighting-fit-from-the-covid-19-crisis/#4136976c4d50.

Schein, E.G. (2009). The Corporate Culture Survival Guide. San Fransisco, CA: John Wiley & Sons.

Shin, D.-H., (2010). The effects of trust, security and privacy in social networking: a security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428–438.

Siau, K., Shen, Z., (2003). Building customer trust in mobile commerce. Communications of the ACM, 46(4), 91–94. https://doi.org/10.1145/641205.641211

Singh, N., Sinha, N., (2020). How perceived trust mediates merchant’s intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52, 1–13. https://doi.org/10.1016/j.jretconser.2019.101894

Singh, N., Sinha, N., Liébana-Cabanillas, F.J., (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191–205. http://dx.doi.org/10.1016/j.ijinfomgt.20

Statista, (2019). Number of mobile Phone Users Worldwide from 2015 to 2020. Retrived 1 December 2021 from https://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/

Stewart, H., Jürjens, J., (2018). Data security and consumer trust in fintech innovation in Germany. Information Security, 26(1), 109–128. https://doi.org/10.1108/ICS-06-2017-0039

Tarafdar, M., Zhang, J., (2008). Determinants of reach and loyalty—a study of website performance and implications for website design. Journal of Computer Information Systems, 48(2), 16–24.

Toufaily, E., Ricard, L., Perrien, J., (2013). Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and proposal of an integrative model. Journal of Business Research, 66(9), 1436–1447.

Vance, A., Elie-dit-Cosaque, C., Straub, D.W., (2008). Examining trust in information technology artifacts: the effects of system quality and culture. Journal of Management Information Systems, 24(4), 73–100.

Venkatesh, V., Davis, F.D., (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.

Wojcik, D., Ioannou, S., (2020). Covid-19 and finance: market developments so far and potential impacts on the financial sector and centres. Tijdschrift voor Economische en Sociale Geografie, 111(3), 387–400.

Yen, C.H., Lu, H.P., (2008). Effects of e-service quality on loyalty intention: an empirical study in online auction. Managing Service Quality: An International Journal, 18(2), 127–146. https://doi.org/10.1108/09604520810859193

Yun, Z.S., Good, L.K., (2007). Developing customer loyalty from e-tail store image attributes. Managing Service Quality: An International Journal, 17(1), 4–22. https://doi.org/10.1108/09604520710720647

Downloads

Published

2023-03-31

How to Cite

Lasmini, R. S. ., Budiarti, A. P., Fasyni , A., & Zulvia, Y. (2023). Peran intention to use dalam meningkatkan loyalitas penggunaan financial technologi pada generasi XYZ di Indonesia. Jurnal Ilmu Manajemen, 11(1), 211–221. https://doi.org/10.26740/jim.v11n1.p211-221

Issue

Section

Artikel
Abstract views: 177 , PDF Downloads: 344