The Role of Religiosity in Explaining the Intention to use Islamic FinTech Among MSME Actors

Rifaldi Majid

Abstract


Islamic FinTech is growing rapidly and has become a new alternative of financing for micro, small, and medium enterprises (MSME) which are the backbone of the national economy. This study aims to examine the role of religiosity level of MSMEs actors on the intention to use Islamic FinTech. This research employed Partial Least Square - Structural Equation Modeling (PLS-SEM) method. The data collected using an online questionnaire adapted from previous research, then distributed to 100 Indonesian MSME actors and analyzed using smart PLS. The main result indicated religiosity plays a positively significant role in explaining the intention to use Islamic FinTech. In addition, Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Subjective Norm (SN) were also found to be influential, while both, Attitude Toward Behavior (ATB) and Perceived Behavioral Control (PBC), have no significant effect on behavioral intention. This research implicates the need for collaboration between the Financial Services Authority (OJK) as the regulator with Islamic FinTech institutions to improve literacy, providing incentives, strengthening consumer data protection, as well as integrating the values from the religious anglein the concept and practice of FinTech product and services that are based on Islamic guideline in order to attract the users from MSME actors.


Keywords


MSMEs Actor’s Intention; PLS-SEM; Islamic FinTech; Religiosity

Full Text:

PDF

References


Aaron, M., Rivadeneyra, F., & Sohal, S. (2017). Fintech: Is this time different? A Framework for Assessing Risks and Opportunities for Central Banks (No. ISSN 1914-0568 2). Bank of Canada Staff Discussion Paper (Vol. No. 2017-1).

Aji, H. M., Albari, A., Muthohar, M., Sumadi, S., Sigit, M., Muslichah, I., & Hidayat, A. (2020). Investigating the determinants of online infaq intention during the COVID-19 pandemic: An insight from Indonesia. Journal of Islamic Accounting and Business Research, 12(1), 1–20. doi:10.1108/JIABR-05-2020-0136

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

Ajzen, I. (2005). Attitudes, personality and behavior. Berkshire, England SL6 2QL: Open University Press.

Ajzen, I., & Fisbhein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ.: PrenticeHall.

Ajzen, I., & Fishbein, M. (1970). The prediction of behavior from attitudinal and normative variables. Journal of Experimental Social Psychology, 6(4), 466–487. doi:10.1016/0022-1031(70)90057-0

Alam, S. S., Janor, H., Zanariah, Wel, C. A. C., & Ahsan, M. N. (2012). Is Religiosity an important factor in influencing the intention to undertake Islamic home financing in Klang Valley?. World Applied Sciences Journal, 19(7), 1030–1041. doi:10.5829/idosi.wasj.2012.19.07.392

Ali, M., Raza, S. A., Khamis, B., Puah, C. H., & Amin, H. (2021). How perceived risk, benefit and trust determine user fintech adoption: A new dimension for Islamic finance. Foresight, ahead-of-p(September 2020), ahead-of-print. doi:10.1108/FS-09-2020-0095

Amin, H., Rahim, A., Ramayah, T., & Supinah, R. (2014). Determinants of online waqf acceptance : An empirical investigation. EJISDC: The Electronic Journal on Information Systems in Developing Countries, 60(8), 1–18. doi:10.1002/j.1681-4835.2014.tb00429.x

Ateeq-ur-Rehman, & Shabbir, M. S. (2010). The relationship between religiosity and new product adoption. Journal of Islamic Marketing, 1(1), 63–69. doi:10.1108/17590831011026231

Badan Pusat Statistik. (2019). Analisis hasil SE2016 lanjutan: Potensi peningkatan kinerja usaha mikro kecil. Jakarta: Badan Pusat Statistik.

Bank Indonesia, & LPPI. (2015). Profil bisnis usaha mikro, kecil dan menengah (UMKM). Jakarta: Bank Indonesia.

Chemmanur, T. J., Imerman, M. B., Rajaiya, H., & Yu, Q. (2020). Recent developments in the fintech industry. Journal of Financial Management, Markets and Institutions, 08(01), 1–31. doi: 10.1142/s2282717x20400022

Chuang, L.-M., Liu, C.-C., & Kao, H.-K. (2016). The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences (IJMAS), 3(07), 1–15. Retrieved from www.ijmas.orgwww.ijmas.org

Darmansyah, Fianto, B. A., Hendratmi, A., & Aziz, P. F. (2020). Factors determining behavioral intentions to use Islamic financial technology: Three competing models. Journal of Islamic Marketing, ahead-of-p(ahead-of-print). doi:10.1108/JIMA-12-2019-0252

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–340. doi:10.2307/249008

DinarStandard. (2021). Global Islamic fintech report 2021. Retrieved from https://cdn.salaamgateway.com/reports/pdf/6127a0965afd7898a34f69dadc24b8d17ada0b1b.pdf

DSN-MUI. (2018). Fatwa Dewan syariah nasional-majelis ulama Indonesia No: 117/DSN-MUI/II/2018 Tentang Layanan Pembiayaan Berbasis Teknologi Informasi Berdasarkan Prinsip Syariah. Jakarta: Dewan Syariah Nasional Majelis Ulama Indonesia.

Fenwick, M., McCahery, J. A., & Vermeulen, E. P. M. (2017). Fintech and the financing of entrepreneurs: From crowdfunding to marketplace lending. The Economics of Crowdfunding: Startups, Portals and Investor Behavior. doi: 10.1007/978-3-319-66119-3_6

Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. doi:10.1108/EBR-10-2013-0128

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. doi:10.1007/s11747-011-0261-6

Henseler, J., Hubona, G.S. & Ray, P.A. (2016). Using PLS path modeling in new technology research: updated guidelines, Industrial Management and Data Systems, 116 (1), 1-19

IMF, & World Bank. (2019). Fintech: The experience so far. IMF Policy Paper, (June), 1–77. Retrieved from https://www.imf.org/~/media/Files/Publications/PP/2019/PPEA2019024.ashx

Jerene, W., & Sharma, D. (2020). The adoption of financial technology in Ethiopia: a study of bank customers perspective. Journal of Banking and Financial Technology, 4(1), 53–63. doi:10.1007/s42786-020-00015-0

Johan, Z. J., Hussain, M. Z., Mohd, R., & Kamaruddin, B. H. (2020). Muslims and non-Muslims intention to hold Shariah-compliant credit cards: a SmartPLS approach. Journal of Islamic Marketing, ahead-of-p(ahead-of-print). doi:10.1108/JIMA-12-2019-0270

Kasri, R. A., & Chaerunnisa, S. R. (2020). The role of knowledge, trust, and religiosity in explaining the online cash waqf amongst Muslim millennials. Journal of Islamic Marketing, ahead-of-p(ahead-of-print). doi:10.1108/JIMA-04-2020-0101

Kasri, R. A., & Yuniar, A. M. (2021). Determinants of digital zakat payments: Lessons from Indonesian experience. Journal of Islamic Accounting and Business Research, ahead-of-p(ahead-of-print). doi:10.1108/JIABR-08-2020-0258

Kazemi, D. A., Nilipour, D. A., Kabiry, N., & Hoseini, M. M. (2013). Factors affecting isfahanian mobile banking adoption based on the decomposed theory of planned behavior. International Journal of Academic Research in Business and Social Sciences, 3(7), 230–245. doi:10.6007/ijarbss/v3-i7/29

Kemenkopukm. (2018). Perkembangan data usaha mikro, kecil, dan menengah (UMKM) dan usaha besar (UB) Tahun 2018-2019. Retrieved 28 April 2021, from https://www.kemenkopukm.go.id/uploads/laporan/1617162002_SANDINGAN_DATA_UMKM_2018-2019.pdf

Khan, G. F., Sarstedt, M., Shiau, W. L., Hair, J. F., Ringle, C. M., & Fritze, M. P. (2019). Methodological research on partial least squares structural equation modeling (PLS-SEM): An analysis based on social network approaches. Internet Research, 29(3), 407–429. doi:10.1108/IntR-12-2017-0509

Kim, Y., Choi, J., Park, Y. J., & Yeon, J. (2016). The adoption of mobile payment services for “fintech”. International Journal of Applied Engineering Research, 11(2), 1058–1061.

Law No. 20 year 2008. (2008). Law No. 20 year 2008 concerning Micro, Small and Medium Enterprises (MSMEs). LN.2008/NO.93, TLN NO.4866, LL SETNEG : 20 HLM. Sekretaris Negara Republik Indonesia. Retrieved from https://peraturan.bpk.go.id/Home/Details/39653/uu-no-20-tahun-2008

Mansori, S., Sambasivan, M., & Md-Sidin, S. (2015). Acceptance of novel products: The role of religiosity, ethnicity and values. Marketing Intelligence and Planning, 33(1), 39–66. doi:10.1108/MIP-03-2013-0050

Marzuki, M., & Nurdin, N. (2020). The influence of halal product expectation, social environment, and fiqih knowledge on intention to use shariah financial technology products. International Journal of Innovation, Creativity and Change, 13(1), 171–193.

Niswah, F. M., Mutmainah, L., & Legowati, D. A. (2019). Muslim Millennial’s Intention of Donating for Charity Using Fintech Platform. Journal of Islamic Monetary Economics and Finance, 5(3), 623–644. doi: 10.21098/jimf.v5i3.1080

Pew Research Center. (2011). Muslim population growth by country. Retrieved 28 April 2021, from https://www.pewforum.org/2011/01/27/table-muslim-population-growth-by-country/

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224–235. doi:10.1108/10662240410542652

Purwantini, A. H., Athief, F. H. N., & Waharini, F. M. (2020). Indonesian consumers’ intention of adopting Islamic financial technology services. Shirkah, 5(2), 171–196.

PwC. (2019). Indonesia’s fintech lending: Driving Economic growth through financial inclusion. PwC Indonesia - Fintech Series. Retrieved from https://www.pwc.com/id/en/fintech/PwC_FintechLendingThoughtLeadership_ExecutiveSummary.pdf

Shaikh, I. M., Qureshi, M. A., & Noordin, K. (2020). Acceptance of islamic financial technology (fintech) banking services by Malaysian users: An extension of technology acceptance model. Foresight, 22(3), 367–383. doi:https://doi.org/10.1108/FS-12-2019-0105

Sulaeman, S., & Ninglasari, S. Y. (2020). Analyzing the behavioral intention factors in using zakat-based crowdfunding platform in Indonesia. International Journal of Zakat, 5(3), 1–19. doi:10.37706/ijaz.v5i3.267

Sun, S., Goh, T., Fam, K. S., & Xue, Y. (2012). The influence of religion on Islamic mobile phone banking services adoption. Journal of Islamic Marketing, 3(1), 81–98. doi:10.1108/17590831211206617

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models author. Information Systems Research, 6(2), 144–176.

Thaker, M. A. B. M. T., Amin, M. F. Bin, Mohd Thas Thaker, H. Bin, & Allah Pitchay, A. Bin. (2019). What keeps Islamic mobile banking customers loyal? Journal of Islamic Marketing, 10(2), 525–542. doi:10.1108/JIMA-08-2017-0090

Thaker, M. A. B. M. T., Thaker, H. B. M. T., Rahman, M. P. B., Amin, M. F. Bin, Pitchay, A. B. A., & Olaniyi, N. O. (2019). Factors affecting investors’ intention to invest in a peer-to-peer lending platform in malaysia: an extended technology acceptance model. Tokyo. Retrieved from available: https://www.adb.org/publications/factors-affecting-investors-intention-invest-peer-peer- lending-platform-malaysia

Thaker, M. T. H., Thaker, M. T. M. A., Khaliq, A., Pitchay, A. A., & Hussain, I. H. (2021). Behavioural intention and adoption of internet banking among clients’ of Islamic banks in Malaysia: an analysis using UTAUT2. Journal of Islamic Marketing, ahead-of-p(ahead-of-print). doi:10.1108/JIMA-11-2019-0228

The World Bank. (2020). Leveraging Islamic Fintech to improve financial inclusion. Kuala Lumpur, Malaysia. https://doi.org/10.1596/34520

Usman, H., Projo, N. W. K., Chairy, C., & Haque, M. G. (2021). The exploration role of Sharia compliance in technology acceptance model for e-banking (case: Islamic bank in Indonesia). Journal of Islamic Marketing, ahead-of-p(ahead-of-print). doi:10.1108/JIMA-08-2020-0230

Venkatesh, Viswanath,, & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2)(May 2014), 186–204. Retrieved from https://www.jstor.org/stable/2634758

Venkatesh, Viswanath, & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. doi:10.1111/j.1540-5915.2008.00192.x

Venkatesh, Viswanath, Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478.

Yuspita, R., Pebruary, S., & Kamala, A. Z. H. (2019). The society’s perceptions on the use of fintech services in sharia financial institutions. Jurnal Ekonomi & Keuangan Islam, 5(2), 87–92. doi:10.20885/jeki.vol5.iss2.art6




DOI: https://doi.org/10.18196/ijief.v4i2.11833

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 International Journal of Islamic Economics and Finance (IJIEF)

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


International Journal of Islamic Economics and Finance (IJIEF)
International Program for Islamic Economics and Finance 
Department of Economics  
Faculty of Economics and Business
Universitas Muhammadiyah Yogyakarta

Office:
Pascasarjana Building, Ground Floor
Jl. Brawijaya (Ringroad Selatan), Kasihan, Bantul
D.I. Yogyakarta 55183, INDONESIA
Official email: ijief@umy.ac.id