Analyzing The Intention of Borrower to Use Fintech Lending

Authors

  • Hasna Luthfi Khairunnisa Tazkia Islamic University College
  • Yaser Taufiq Syamlan Tazkia Islamic University College

DOI:

https://doi.org/10.58968/eii.v3i2.26

Keywords:

Intention, Islamic fintech, Fintech lending, Indonesia

Abstract

This study aims to determine the direct effect of social influence, consumptive culture, and perceived usefulness on intention to use financial technology lending. This study also to find out the awareness people on using sharia fintech lending. Then, this study also to find out the indirect effect of social influence, consumptive culture, and perceived usefulness on intention to use financial technology lending moderated by motivation variable using Partial Least Square – Structural Equation Modeling (PLS-SEM) method. This research has found social influence and consumptive culture have a significant influence on intention to use fintech lending. Perceived usefulness and sharia fintech lending knowledge does not influence on intention to use fintech lending. This study found that social influence, consumptive culture, and perceived usefulness had no effect on the intention to use fintech lending through motivation as a moderating variable.

Downloads

Download data is not yet available.

References

Abdillah, W., & Jogiyanto. (2015). Partial Least Square (PLS). Yogyakarta. Andi Yogyakarta.

ACHMAD, F. (2019). Analisis Dampak Pembiayaan Konsumtif Bank Syariah Terhadap Budaya Konsumerisme Masyarakat (Studi Pada BPRS Bandar Lampung) (Doctoral dissertation, UIN Raden Intan Lampung).

Adistyasari, N., Firmansyah, R. K., & Gunadi, W. (2020). International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse172922020.pdf Analyzing the Use of P2P Lending Mobile Applications in Greater Jakarta.

Afdalia, Nadhira, D. (2010). Theory of Planned Behavior Dan Readiness for Change Dalam Memprediksi Niat Implementasi Peraturan. Jaai, 18(2), 110–123.

Agarwal, S., & Zhang, J. (2020). FinTech, Lending and Payment Innovation: A Review. Asia-Pacific Journal of Financial Studies, 49(3), 353–367. https://doi.org/10.1111/ajfs.12294

Agustina, M., & Dalimunthe, Z. (2020). Apakah Social Influence Mempengaruhi Intensi Meminjam melalui Peer to Peer Lending. Jurnal Manajemen dan Usahawan Indonesia, 43(2).

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decisio21n Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Alavi, M., & Henderson, J. C. (1981). An evolutionary strategy for implementing a decision support system. Management Science, 27(11), 1309-1323.

American Journal of Sociology. (2019). User Acceptance Of Information Technology: Toward A Unified View. Journal of Chemical Information and Modeling, 53(9), 1689–1699.

Arsad, S., Ahmad, R., Fisol, W. N. M., Said, R., & Haji-Othman, Y. (2015). Maqasid shariah in corporate social responsibility of Shari’ah compliant companies. Research Journal of Finance and Accounting, 6(6), 239-247.

Aseng, A. C. (2020). Factors Influencing Generation Z Intention in Using FinTech Payment Services. CogITo Smart Journal, 6(2), 155. https://doi.org/10.31154/cogito.v6i2.260.155-166

Authors, F. (2015). E-services Adoption: Processes by Firms in Developing Nations. iii. https://doi.org/10.1108/s1069-09642015000023b008

Baihaqi, J. (2018). Financial Technology Peer-To-Peer Lending Berbasis Syariah Di Indonesia. TAWAZUN : Journal of Sharia Economic Law, 1(2), 116. https://doi.org/10.21043/tawazun.v1i2.4979

Barnett, T., Pearson, A. W., Pearson, R., & Kellermanns, F. W. (2015). Five-factor model personality traits as predictors of perceived and actual usage of technology. European Journal of Information Systems, 24(4), 374–390. https://doi.org/10.1057/ejis.2014.10

Bertagnolli, C. (2011). Delle vicende dell’agricoltura in Italia; studio e note di C. Bertagnolli. Delle Vicende Dell’agricoltura in Italia; Studio e Note Di C. Bertagnolli., 13(3), 319–340. https://doi.org/10.5962/bhl.title.33621

Candra, S., Nuruttarwiyah, F., & Hapsari, I. H. (2020). Revisited the Technology Acceptance Model with E-Trust for Peer-to-Peer Lending in Indonesia (Perspective from Fintech Users). International Journal of Technology, 11(4), 710–721. https://doi.org/10.14716/ijtech.v11i4.4032

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.

Chuttur, M. (2009a). Overview of the Technology Acceptance Model: Origins , Developments and Future Directions. Sprouts: Working Papers on Information Systems, 9(37), 1–23. https://doi.org/10.1021/jf001443p

Chuttur, M. (2009b). Working Papers on Information Systems Overview of the Technology Acceptance Model : Origins, Developments and Future Directions. Working Papers on Information Systems, 9(2009), 9-37. http://sprouts.aisnet.org/9-37

Cohen, P. R., & Levesque, H. J. (1990). Intention is choice with commitment. Artificial Intelligence, 42(2–3), 213–261. https://doi.org/10.1016/0004-3702(90)90055-5

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, August 2019. https://doi.org/10.1108/JIMA-12-2019-0252

Davis, F. D. (1985). 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: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008

Evans, B. M., Kairam, S., & Pirolli, P. (2010). Do your friends make you smarter?: An analysis of social strategies in online information seeking. Information Processing & Management, 46(6), 679-692.

Fishbein, M., & Ajzen, I. (1975). Belief. Attitude, Intention and Behavior: An Introduction to Theory and Research, 578.

Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.

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. https://doi.org/10.1108/EBR-10-2013-0128

Hamari, J., & Koivisto, J. (2013). Social motivations to use gamification: an empirical study of gamifying exercise. ECIS 2013 Completed Research. 105.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2012). Using partial least squares path modeling in advertising research: Basic concepts and recent issues. Handbook of Research on International Advertising, 252–276. https://doi.org/10.4337/9781781001042.00023

Hiyanti, H., Nugroho, L., Sukmadilaga, C., & Fitrijanti, T. (2019). Jurnal Ilmiah Ekonomi Islam , 5 ( 03 ), 2019 , 326-333 Peluang dan Tantangan Fintech ( Financial Technology ) Syariah di Indonesia. Jurnal Ilmiah Ekonomi Islam, 5(3), 331. https://doi.org/10.29040/jiei.v5i3.578

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). https://doi.org/10.3390/sym11030340

Jaffar, M. A., & Musa, R. (2014). Determinants of attitude towards Islamic financing among halal-certified micro and SMEs: A preliminary investigation. Procedia-Social and Behavioral Sciences, 130, 135-144.

Jaffar, M. A., & Musa, R. (2016). Determinants of Attitude and Intention towards Islamic Financing Adoption among Non-Users. Procedia Economics and Finance, 37(December), 227–233. https://doi.org/10.1016/s2212-5671(16)30118-6

Juliandi, A. (2018). Structural Equation Model Partial Least Square ( Sem-Pls ) Dengan SmartPLS. Modul Pelatihan, 1–4. https://doi.org/10.5281/zenodo.1243777

Kurniawan, R. (2019). Examination of the Factors Contributing to Financial Technology Adoption in Indonesia using Technology Acceptance Model: Case Study of Peer to Peer Lending Service Platform. Proceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019, 1, 432–437. https://doi.org/10.1109/ICIMTech.2019.8843803

Lia Dwi Jayanti. (2020). Factors Affecting Investment Decisions During A Pandemic Through Sharia Financial Technology (Case Study of Sharia Peer-to-Peer Lending). 21(1), 1–9. http://journal.um-surabaya.ac.id/index.php/JKM/article/view/2203

Mujahidin, M. (2019). Opportunities and Challenges of Sharia Technology Financials in Indonesia. MPRA Paper No. 94844

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(December 2018), 404–414. https://doi.org/10.1016/j.chb.2016.03.030

Papacharissi, Z., & Rubin, A. M. (2000). Predictors of Internet use. Journal of broadcasting & electronic media, 44(2), 175-196.

Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2015). User intentions to adopt mobile payment services: A study of early adopters in Thailand. Journal of Internet Banking and Commerce, 20(1).

Putritama, A. (2019). The Mobile Payment Fintech Continuance Usage Intention in Indonesia. Jurnal Economia, 15(2), 243–258. https://doi.org/10.21831/economia.v15i2.26403

Ramadhan, D., & Wibowo, D. (2020). Why People Intent to Invest Using Islamic Fintech: An analysis of Perceived Benefit, Risk, and Maqoshid Sharia. January 2020. https://doi.org/10.4108/eai.11-7-2019.2297518

Ryu, H. S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management & Data Systems.

Saad, M. A., Fisol, W. B. M., & Bin, M. (2019). Financial Technology (Fintech) Services In Islamic Financial Platform. In International Postgraduate Conference (pp. 1-10).

Santoso, W., Trinugroho, I., & Risfandy, T. (2020). What Determine Loan Rate and Default Status in Financial Technology Online Direct Lending? Evidence from Indonesia. Emerging Markets Finance and Trade, 56(2), 351–369. https://doi.org/10.1080/1540496X.2019.1605595

See, S. Z. J., & ShaheenMansori. (2012). Young Female Motivations for Purchase of Organic Food in Malaysia. International Journal of Contemporary Business Studies, 3(5), 61–72. http://www.akpinsight.webs.com

Sihombing, N. M. M., Suryanto, N. E., Mahameru, M., Setiawan, M. R., Marsella, E., & Li, M. (2019). Dampak Penggunaan Pinjaman Online Terhadap Gaya Hidup Konsumtif Mahasiswa Yogyakarta.

SIREGAR, B. R. (2020). Pengaruh Literasi Ekonomi Dan Financial Technology Terhadap Perilaku Konsumtif Mahasiswa Pendidikan Ekonomi Stambuk 2017 Universitas Negeri Medan (Doctoral dissertation, Universitas Negeri Medan).

Soegesty, N. B., Fahmi, I., & Novianti, T. (2020). Kajian Faktor Yang Memengaruhi Adopsi Sistem Pijaman Peer To Peer Lending. Jurnal Manajemen Teknologi, 19(1), 59–79. https://doi.org/10.12695/jmt.2020.19.1.4

Sugiyono, S. (2010). Metode penelitian kuantitatif dan kualitatif dan R&D. Bandung: Alfabeta.

Sugiyono, (2016). Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung: Alfabeta.

Sumartono. (2002). Terperangkap dalam Iklan. Bandung: Alfabeta

Surendran, P. (2013). Technology Acceptance Model: A Survey of Literature. International Journal of Business and Social Research, 2(4), 175–178. https://doi.org/10.18533/ijbsr.v2i4.161

Smith, S., Johnston, R. B., Shanks, G., & Rahim, M. M. (2007, December). Toward a motivational theory of technology implementation processes. In European and Mediterranean Conference on Information Systems. Polytechnic University of Valencia, Spain.

Suri, R., Long, M., & Monroe, K. B. (2003). The impact of the Internet and consumer motivation on evaluation of prices. Journal of Business Research, 56(5), 379–390. https://doi.org/10.1016/S0148-2963(01)00228-4

Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly: Management Information Systems, 24(1), 115–136. https://doi.org/10.2307/3250981

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Wang, M., Wang, T., Kang, M., Sun, S., Wang, M. ;, Wang, T. ;, Kang, M. ;, & Shuang, S. (2014). Association for Information Systems AIS Electronic Library (AISeL) Understanding Perceived Platform Trust And Institutional Risk In Peer-To-Peer Lending Platforms From Cognition-Based And Affect-Based Perspectives Recommended Citation "Understanding Perce. 2014. http://aisel.aisnet.org/pacis2014http://aisel.aisnet.org/pacis2014/208

Wong, K. K. K.-K. (2013). 28/05 - Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS. Marketing Bulletin, 24(1), 1–32.

Yuniarti, V. (2019). Faktor–Faktor Yang Memengaruhi Minat Penggunaan Financial Technology Peer To Peer Lending (Doctoral dissertation, Universitas Brawijaya).

Zhen, Y., & Dato‘Mansor, Z. (2020). A Review on Employee's Voluntary Turnover: A Psychological Perspective. Zhen, Y, 107-112.

Downloads

Published

2021-12-31

How to Cite

Hasna, & Taufiq Syamlan, Y. . (2021). Analyzing The Intention of Borrower to Use Fintech Lending. Ekonomi Islam Indonesia, 3(2). https://doi.org/10.58968/eii.v3i2.26