Determinants of Student Behavior to Use Financial Technology (Fintech) Banking Services - Integrated Theory of System Acceptance and Psychological Behavioral Theory

Fachrurrozie Fachrurrozie, Indah Anisykurlillah, Hasan Mukhibad, Kuat Waluyo Jati, Ahmad Nurkhin

Abstract


Fintech provides technology-based banking and financial services; therefore, the analysis of FinTech usage behavior should be viewed in the context of system acceptance and psychological behavioral theory. We employ the System Acceptance Theory approach, specifically the Theory of Acceptance Model, and the psychological behavioral theory, the Theory of Reasoned Action, to explain behavioral intention to use FinTech and incorporate risk factors. This study aims to prove the influence of perceived ease of use, perceived usefulness, subjective norms, attitude, and perceived risk on the intensity of Generation Z's intention to use Fintech. Moreover, this research demonstrates the influence of intention to use Fintech on fintech usage behavior. This research employed a survey approach with 350 students in Indonesia, who are part of Generation Z, and analyzed the data using Structural Equation Modeling with Partial Least Squares. We report that perceived ease of use and perceived usefulness are vital factors in increasing the intention to use Fintech. Attitude is a factor that encourages students to use Fintech, and conversely, perceived risk is a vital factor in decreasing intention to use Fintech. We were unable to find evidence of a relationship between subjective norms and intention to use Fintech. Ultimately, behavioral intention in using Fintech is crucial for increasing student adoption of Fintech. This study recommends that financial institutions offer Fintech services to enhance usability, convenience, and mitigate the risks associated with fintech use.

Keywords


Sustainable Development; Risk; Internet-Based Technology; Students’ Behavior; Innovation Product

Full Text:

PDF

References


C. Basdekis, A. Christopoulos, I. Katsampoxakis, and A. Vlachou, “FinTech’s rapid growth and its effect on the banking sector,” Journal of Banking and Financial Technology, vol. 6, no. 2, pp. 159–176, 2022, doi: 10.1007/s42786-022-00045-w.

C. Mertzanis, “FinTech finance and social-environmental performance around the world,” Financ Res Lett, vol. 56, no. September, pp. 1–12, 2023, doi: 10.1016/j.frl.2023.104107.

K. Leong, “FinTech (Financial Technology): What is It and How to Use Technologies to Create Business Value in Fintech Way?,” International Journal of Innovation, Management and Technology, vol. 9, no. 2, pp. 74–78, 2018, doi: 10.18178/ijimt.2018.9.2.791.

R. R. Suryono, I. Budi, and B. Purwandari, “Challenges and trends of financial technology (Fintech): A systematic literature review,” Information (Switzerland), vol. 11, no. 12, pp. 1–20, 2020, doi: 10.3390/info11120590.

L. Lochner, Student Loans and Repayment: Theory, Evidence, and Policy, 1st ed., vol. 5. 2016. doi: 10.1016/B978-0-444-63459-7.00008-7.

A. Tritto, Y. He, and V. A. Junaedi, “Governing the gold rush into emerging markets: a case study of Indonesia’ s regulatory responses to the expansion of Chinese-backed online P2P lending,” Financial Innovation, vol. 6, no. 51, pp. 1–24, 2020, doi: https://doi.org/10.1186/s40854-020-00202-4.

L. Wei and P. Wei, “Analysis of University Student Campus Loan Phenomenon and Countermeasures,” in 2019 3rd International Seminar on Education, Management and Social Sciences (ISEMSS 2019), 2019, pp. 603–606. doi: 10.2991/isemss-19.2019.119.

S. Sutton, “Health Behavior: Psychosocial Theories,” in International Encyclopedia of the Social & Behavioral Sciences, Elsevier, 2001, pp. 6499–6506. doi: 10.1016/b0-08-043076-7/03872-9.

Y. Y. Shih and K. Fang, “The use of a decomposed theory of planned behavior to study Internet banking in Taiwan,” Internet Research, vol. 14, no. 3, pp. 213–223, 2004, doi: 10.1108/10662240410542643.

S. Singh and R. K. Srivastava, “Understanding the intention to use mobile banking by existing online banking customers: an empirical study,” Journal of Financial Services Marketing, vol. 25, pp. 86–96, 2020, doi: 10.1057/s41264-020-00074-w.

A. B. Siddik, M. N. Rahman, and L. Yong, “Do fintech adoption and financial literacy improve corporate sustainability performance? The mediating role of access to finance,” Journal of Cleaner Production, vol. 421, no. March 2022, p. 137658, 2023, doi: 10.1016/j.jclepro.2023.137658.

S. Pizzi, L. Corbo, and A. Caputo, “Fintech and SMEs sustainable business models: Reflections and considerations for a circular economy,” Journal of Cleaner Production, vol. 281, no. 25 January 2021, pp. 1–9, 2021, doi: 10.1016/j.jclepro.2020.125217.

A. L. M. Anouze and A. S. Alamro, “Factors affecting intention to use e-banking in Jordan,” International Journal of Bank Marketing, vol. 38, no. 1, pp. 86–112, 2020, doi: 10.1108/IJBM-10-2018-0271.

S. Ahmad, S. H. Bhatti, and Y. Hwang, “E-service quality and actual use of e-banking: Explanation through the Technology Acceptance Model,” Information Development, vol. 36, no. 4, pp. 503–519, 2020, doi: 10.1177/0266666919871611.

R. Safeena, A. Kammani, and H. Date, “Assessment of Internet Banking Adoption: An Empirical Analysis,” Arab J Sci Eng, vol. 39, no. 2, pp. 837–849, 2014, doi: 10.1007/s13369-013-0707-x.

A. Shahzad, N. Zahrullail, A. Akbar, H. Mohelska, and A. Hussain, “COVID-19’s Impact on Fintech Adoption: Behavioral Intention to Use the Financial Portal,” Journal of Risk and Financial Management, vol. 15, no. 10, pp. 1–18, 2022, doi: 10.3390/jrfm15100428.

J. Adamek and M. Solarz, “Adoption factors in digital lending services offered by fintech lenders,” Oeconomia Copernicana, vol. 14, no. 1, pp. 169–212, 2023, doi: 10.24136/oc.2023.005.

A. Rahadian and H. Thamrin, “Analysis of Factors Affecting MSME in Using Fintech Lending as Alternative Financing: Technology Acceptance Model Approach,” Brazilian Business Review, vol. 20, no. 3, pp. 301–322, 2023, doi: 10.15728/bbr.2023.20.3.4.en.

S. Candra, F. Nuruttarwiyah, and I. H. Hapsari, “Revisited the Technology Acceptance Model with E-Trust for Peer-to-Peer Lending in Indonesia (Perspective from Fintech Users),” International Journal of Technology, vol. 11, no. 4, pp. 710–721, 2020, doi: 10.14716/ijtech.v11i4.4032.

M. B. Amnas, M. Selvam, M. Raja, S. Santhoshkumar, and S. Parayitam, “Understanding the Determinants of FinTech Adoption: Integrating UTAUT2 with Trust Theoretic Model,” Journal of Risk and Financial Management, vol. 16, no. 505, pp. 1–23, 2023, doi: 10.3390/jrfm16120505.

C. F. Y. Chen, T. J. Chan, and N. H. Hashim, “Factor Influencing Continuation Intention of Using Fintech from the Users’ Perspectives: Testing of Unified Theory of Acceptance and Use of Technology (UTAUT2),” International Journal of Technology, vol. 14, no. 6, pp. 1277–1287, 2023, doi: 10.14716/ijtech.v14i6.6636.

A. Giovanis, P. Athanasopoulou, C. Assimakopoulos, and C. Sarmaniotis, “Adoption of mobile banking services,” International Journal of Bank Marketing, vol. 37, no. 5, pp. 1165–1189, 2019, doi: 10.1108/IJBM-08-2018-0200.

S. Y. Yousafzai, G. R. Foxall, and J. G. Pallister, “Explaining Internet Banking Behavior: Theory of Reasoned Action, Theory of Planned Behavior, or Technology Acceptance Model?,” J Appl Soc Psychol, vol. 40, no. 5, pp. 1172–1202, 2010, doi: https://doi.org/10.1111/j.1559-1816.2010.00615.x.

A. Das and D. Das, “Perception, Adoption, and Pattern of Usage of FinTech Services by Bank Customers: Evidences from Hojai District of Assam,” Emerging Economy Studies, vol. 6, no. 1, pp. 7–22, 2020, doi: 10.1177/2394901520907728.

M. C. Bermeo-Giraldo, A. Valencia-Arias, L. Palacios-Moya, and J. Valencia, “Adoption of Fintech Services in Young Students: Empirical Approach from a Developing Country,” Economies, vol. 11, no. 9, pp. 1–19, 2023, doi: 10.3390/economies11090226.

A. Razzaque, R. T. Cummings, M. Karolak, and A. Hamdan, “The Propensity to Use FinTech: Input from Bankers in the Kingdom of Bahrain,” Journal of Information and Knowledge Management, vol. 19, no. 1, pp. 1–23, 2020, doi: 10.1142/S0219649220400250.

F. M. Niswah, L. Mutmainah, and D. A. Legowati, “Muslim Millennial’s Intention of Donating for Charity Using Fintech Platform,” Journal of Islamic Monetary Economics and Finance, vol. 5, no. 3, pp. 623–644, 2019, doi: https://doi.org/10.21098/jimf.v5i3.1080.

H. Usman, D. Mulia, C. Chairy, and N. Widowati, “Integrating trust, religiosity and image into technology acceptance model: the case of the Islamic philanthropy in Indonesia,” Journal of Islamic Marketing, 2020, doi: 10.1108/JIMA-01-2020-0020.

A. Irimia-Diéguez, F. Velicia-Martín, and M. Aguayo-Camacho, “Predicting Fintech Innovation Adoption: the Mediator Role of Social Norms and Attitudes,” Financial Innovation, vol. 9, no. 36, pp. 1–23, 2023, doi: 10.1186/s40854-022-00434-6.

M. Ali, Y. Yamin, O. Abdalla, and A. Abdalatif, “Examining consumer behavior towards adoption of quick response code mobile payment systems: transforming mobile payment in the fintech industry,” Humanit Soc Sci Commun, 2024, doi: 10.1057/s41599-024-03189-w.

A. Nuryatin, H. Mukhibad, and T. Tusyanah, “Effectiveness of Online Learning at Universities: Do Sociocultural Differences Matter?,” European Journal of Educational Research, vol. 11, no. 4, pp. 2153–2166, 2022.

D. Al-Fraihat, M. Joy, R. Masa’deh, and J. Sinclair, “Evaluating E-learning systems success: An empirical study,” Computers in Human Behavior, vol. 102, no. March 2019, pp. 67–86, 2020, doi: 10.1016/j.chb.2019.08.004.

O. C. Ojiaku, E. C. Ezenwafor, and A. Osarenkhoe, “Integrating TTF and UTAUT models to illuminate factors that influence consumers’ intentions to adopt financial technologies in an emerging country context,” International Journal of Technology Marketing, vol. 18, no. 1, pp. 113–135, 2024, doi: 10.1504/ijtmkt.2024.135674.

K. Bajunaied, N. Hussin, and S. Kamarudin, “Behavioral intention to adopt FinTech services: An extension of unified theory of acceptance and use of technology,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 9, no. 1, pp. 1–14, 2023, doi: 10.1016/j.joitmc.2023.100010.

F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, vol. 35, no. 8, pp. 982–1003, 1989, doi: 10.1287/mnsc.35.8.982.

V. Viswanath and F. D. Davis, “A theoretical extension of the technology acceptance model: Four longitudinal field studies,” Manage Sci, vol. 46, no. 2, pp. 186–204, 2000, doi: https://doi.org/10.1287/mnsc.46.2.186.11926.

F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, vol. 13, no. 3, pp. 319–340, 1989, doi: 10.5962/bhl.title.33621.

Darmansyah, B. A. Fianto, A. Hendratmi, and P. F. Aziz, “Factors determining behavioral intentions to use Islamic financial technology: Three competing models,” Journal of Islamic Marketing, vol. 12, no. 4, pp. 794–812, 2020, doi: 10.1108/JIMA-12-2019-0252.

I. S. Almashhadani, M. Abuhashesh, A. Bany, and M. Al-khasawneh, “Exploring the determinants of FinTech adoption and intention to use in Jordan: The impact of COVID-19,” Cogent Soc Sci, vol. 9, no. 2, pp. 1–18, 2023, doi: 10.1080/23311886.2023.2256536.

A. C. Aseng, “Factors Influencing Generation Z Intention in Using FinTech Digital Payment Services,” Cogito Smart Journal, vol. 6, no. 2, pp. 155–166, 2020, doi: https://doi.org/10.31154/cogito.v6i2.260.155-166.

F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol. 13, no. 3, pp. 319–339, 1989, doi: 10.2307/249008.

T. Zhang, C. Lu, and M. Kizildag, “Banking ‘on-the-go’: examining consumers ’ adoption of mobile banking services,” International Journal of Quality and Service Sciences, vol. 10, no. 3, pp. 279–295, 2018, doi: 10.1108/IJQSS-07-2017-0067.

I. M. Shaikh, M. A. Qureshi, K. Noordin, J. M. Shaikh, A. Khan, and M. S. Shahbaz, “Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users : an extension of technology acceptance model,” Foresight, vol. 22, no. 3, pp. 367–383, 2020, doi: 10.1108/FS-12-2019-0105.

S. Singh and M. M. Sahni, “What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model,” Management Decision, vol. 58, no. 8, pp. 1675–1697, 2020, doi: 10.1108/MD-09-2019-1318.

M. A. Al-Afeef, A. A. Alsmadi, and N. Alrawashdeh, “The behavioral intention of fintech usage: applying theory of planned behavior in Jordan,” in Digital technology and changing roles in managerial and financial accounting: theoretical knowledge and practical application studies in managerial and financial accounting, 2024, pp. 15–25. doi: 10.1108/S1479-351220240000036002.

A. A. Alsmadi, N. Aalrawashdeh, A. Al-Gasaymeh, A. M. d. Al_hazimeh, and L. Alhawamdeh, “Adoption of Islamic Fintech in lending services through prediction of behavioural intention,” Kybernetes, vol. 53, no. 3, pp. 1–18, 2023, doi: 10.1108/K-10-2022-1362.

M. Rahman, T. H. Ming, T. A. Baigh, and M. Sarker, “Adoption of artificial intelligence in banking services: an empirical analysis,” International Journal of Emerging Markets, vol. 18, no. 10, pp. 4270–4300, 2023, doi: 10.1108/IJOEM-06-2020-0724.

K. Gupta, A. Wajid, and D. Gaur, “Determinants of continuous intention to use FinTech services: the moderating role of COVID-19,” Journal of Financial Services Marketing, vol. 29, pp. 536–552, 2023, doi: 10.1057/s41264-023-00221-z.

E. L. Slade, Y. K. Dwivedi, N. C. Piercy, and M. D. Williams, “Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust,” Psychol Mark, vol. 32, no. August, pp. 860–873, 2015, doi: https://doi.org/10.1002/mar.20823.

C. Fife-Schaw, P. Sheeran, and P. Norman, “Simulating behaviour change interventions based on the theory of planned behaviour: Impacts on intention and action,” British Journal of Social Psychology, vol. 46, no. 1, pp. 43–68, 2007, doi: 10.1348/014466605X85906.

R. Ridwan and Y. Diantimala, “The positive role of religiosity in dealing with academic dishonesty,” Cogent Business and Management, vol. 8, no. 1, pp. 1–29, 2021, doi: 10.1080/23311975.2021.1875541.

M. A. Memon, H. Ting, J.-H. Cheah, R. Thurasamy, F. Chuah, and T. H. Cham, “Sample Size for Survey Research: Review and Recommendations,” Journal of Applied Structural Equation Modeling, vol. 4, no. 2, pp. 1–20, 2020, doi: 10.47263/jasem.4(2)01.

J. F. Hair, C. M. Ringle, and M. Sarstedt, “PLS-SEM: Indeed a silver bullet,” Journal of Marketing Theory and Practice, vol. 19, no. 2, pp. 139–152, 2011, doi: 10.2753/MTP1069-6679190202.

J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis (Seventh Edition). Pearson Prentice Hall, 2010.

N. Kock, WarpPLS User Manual : Version 6.0, 1st ed. Laredo, Texas: ScriptWarp Systems, 2019.




DOI: https://doi.org/10.47738/jads.v7i2.1138

Refbacks

  • There are currently no refbacks.



Barcode

Journal of Applied Data Sciences

ISSN:2723-6471 (Online)
Publisher:Bright Publisher
Website:http://bright-journal.org/JADS
Email:taqwa@amikompurwokerto.ac.id (principal contact)
  support@bright-journal.org (technical issues)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0