Islamic Fintech: A Solution for Financial Problem

Authors

  • Dwi Marlina Wijayanti UIN Sunan Kalijaga Yogyakarta, Indonesia
  • Fachmi Pachlevi Yandra STIE YKPN Yogyakarta, Indonesia

DOI:

https://doi.org/10.14421/grieb.2021.091-05

Keywords:

Satisfaction, Perceived Service Quality, Service Innovation, Perceived Easy of Use, Perceived Usefulness, and Attitude.

Abstract

This research aims to examine the role of Islamic fintech in solving users’ financial problem. Furthermore, technology acceptance model (TAM) construct is used to explain individual acceptance on Islamic fintech. This research use self-administered survey including 185 Islamic fintech users spread all over Indonesia. This research provides empirical insights about user satisfaction on Islamic fintech product. It show that almost predictors have significant positive effect on user satisfaction. The TAM’s construct can predict and assess user perceptions on the use of new technologies or products. Furthermore, Islamic fintech makes it easy for users to solve their financial problems. This research proves that Islamic fintech product can be an option in solving financial problem without worrying about halal status.

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Author Biographies

Dwi Marlina Wijayanti, UIN Sunan Kalijaga Yogyakarta, Indonesia

Islamic Accounting

Fachmi Pachlevi Yandra, STIE YKPN Yogyakarta, Indonesia

Accounting
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References

Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665-683.

Ajzen, I., & Fishbein, M. (1980), Understanding attitudes and predicting social behavior. Englewood Cliffs, Prentice-Hall.

Al‐Hawari, M. A., & Mouakket, S. (2010). The influence of technology acceptance model (TAM) factors on students' e‐satisfaction and e‐retention within the context of UAE e‐learning. Education, Business and Society: Contemporary Middle Eastern Issues, 3(4), 299-314.

Chau, P. Y. K., & Hu, P. J. H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information and Management, 39(4), 297-311.

Chen, M. C., Chen, S. S., Yeh H. M., & Tsaur, W. G. (2016). The key factors influencing internet finances services satisfaction: an empirical study in Taiwan. American Journal of Industrial and Business Management, 6(6), 748-762.

Chin, W. W., & Newsted P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307-341). Sage.

Chiu, C. M. H., & Wang, T. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42(2), 1872-1888.

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

Cooper, D. R., & Schindler, P. S. (2011). Business research methods (5th ed.). McGraw Hill.

Cronin, J. J. Jr., & Taylor, S. A. (1992). Measuring service quality: A re-examination and extension. Journal of Marketing, 56, 405-20.

CzepieI, J. A. (1990). Service encounters and service relationships: Implications for research. Journal of Business Research, 20, 13-21.

Dalcher, I., & Shine, J. (2003). The new technology acceptance model to measure the end user information systems satisfaction in a mandatory environment: A bank's treasury. Technology Analysis and Strategic Management, 15(4), 441-455.

Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).

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. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

Fatmawati, E. (2015), Technology acceptance model (TAM) untuk menganalisis penerimaan terhadap sistem informasi perpustakaan. Jurnal Iqra’, 9(1), 1-13.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley Pub. Co.

Hair, J., Hult, T., Ringle, C., & Sartstedt, M. (2013), A primer on partial least squares structural equation modeling (PLS-SEM). Sage.

Halilovic, S., & Cicic, M. (2011). Antecedents of information systems user behaviour: Extended expectation-confirmation model. Behaviour and Information Technology, 32(4), 359-370.

Hartono, J. M. (2008), Metodologi penelitian sistem informasi (1st ed.). Andi Offset.

Hartono, J. M. (2011), Konsep dan aplikasi structural equation modeling berbasis varian dalam penelitian bisnis. UPP STIM YKPN.

Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.

Huang, Y. Y., & Kaewmee, K. (2011). The impact of service quality and service innovation on technology acceptance model (BAI International Conference on Business and Information, Bangkok, Thailand).

Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114.

Kim, Y. J., Park, Y. J., Choi, J., & Yeon, J. (2015). An empirical study on the adoption of fintech service: Focused on mobile payment services. Advanced Science and Technology Letters, 114, 136-140.

Mariani, M. G., Curcuruto, M., & Gaetani, I. (2013). Training opportunities, technology acceptance and job satisfaction: A study of Italian organizations. Journal of Workplace Learning, 25(7), 455-475.

Mather, D., Caputi, P., & Jayasuriya, R. (2002, Is the technology acceptance model a valid model of user satisfaction of information technology in environments where usage is mandatory? Enabling Organisations and Society through Information Systems, 1241-1250.

Mathieson, K. (1991). Predicting user intention: Comparing the technology acceptance model with theory of planned behavior. Information Systems Research, 2(3), 173-191.

McAuley, A. (2014). Digital health interventions: Widening access or widening inequalities? .Public Health, 128, 1118-1120.

Nam, K., Lee, Z., & Lee, B. G. (2016). How internet has reshaped the user experience of banking service? KSII Transactions on Internet and Information Systems, 10(2), 684-702.

Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20, 418–430.

Otto, V. (2014). Technology initiative assessment through acceptance and satisfaction: A case study (All Theses, Dissertations, and Other Capstone Projects, Paper No. 379).

Pratama, B. (2017). Perspektif hukum siber dalam menangkap fenomena disruptive innovation (Seminar Nasional Disruptive Innovation: Kajian Ekonomi dan Hukum, Yogyakarta).

Premkumar, G. & Bhattacherjee, A. (2008). Explaining information technology usage: A test of competing models. Omega, 36(1), 64-75.

Ren-Chuen, T., & Hsi-Peng, L. (2009). Exploring the emotional, aesthetic, and ergonomic facets of innovative product on fashion technology acceptance model. Behaviour and Information Technology, 28, 311-322.

Sahin, A., Zehir, C., & Kitapçi, H. (2011). The effects of brand experiences, trust and satisfaction on building brand loyalty: An empirical research on global brands. Procedia Social and Behavioral Sciences, 24, 1288-1301.

Sancar-Tokmak, H., Surmeli, H., & Ozgelen, S. (2014). Preservice science teachers' perceptions of their TPACK development after creating digital stories. International Journal of Environmental and Science Education, 9(3), 247-264.

Shipps, B., & Phillips, B. (2012). Social networks, interactivity and satisfaction: Assessing socio-technical behavioral factors as an extension to technology acceptance. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 35-52.

Szymanski, D. M., & Hise, R. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309-322.

Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Informaton System Research, 16(1), 85-102.

Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1993). Delivering quality service: Balancing user perceptions and expectations. New York Free Press.

Zohoori, M., Nabuzadeh, D., Asgharian R., & Nia, N. B. (2012). User satisfaction in green technology/processes. Interdisciplinary Journal of Contemporary Research in Bussiness, 4(7), 842-848.

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Published

2021-08-23

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