Intention model and factors leading to MSMEs falling into the trap of illegal online loans

Authors

  • Lilik Farida Universitas Jember
  • Chairul Saleh Universitas Jember
  • Ketut Indraningrat Universitas Jember
  • Elok Sri Utami Universitas Jember
  • Tria Apriliana Universitas Widyatama

DOI:

https://doi.org/10.26740/bisma.v18n1.p86-112

Keywords:

behavior, financial literacy, Illegal online loans, intention to use, trust

Abstract

The micro, small, and medium enterprises (MSMEs) sector in Indonesia plays a vital role in the economy and job creation, but often struggles with limited access to capital. As a result, many MSMEs turn to fintech solutions or online loans, including illegal ones, which usually trap them in high-interest debt. Factors influencing this behaviour include social norms, perceived behavioural control, financial literacy, risk perception, interest rates, social influence, perceived ease of use, perceived usefulness, trust in illegal loans, education level, and social media usage for advertising. At the same time, the Financial Services Authority (OJK) are working to reduce MSMEs’ involvement with illegal online loans. This research aims to examine the factors that drive MSMEs to use illegal loans, focusing on how trust in online loans and the intention to use them mediate this behaviour. Additionally, education level and frequency of social media use are examined as moderating factors. The study surveyed 330 MSMEs and analysed the data using structural equation modelling. The findings indicate that subjective norms significantly increase trust in illegal loans but do not significantly impact the intention to use them. Perceived behavioural control influences both trust and the intention to use illicit loans. Interest rates also have a significant positive effect on both trust and intention. Social influence increases trust but decreases the intention to use illegal loans. Lastly, the intention to use illicit loans strongly predicts actual behaviour, with education level reinforcing this link, while frequent social media use weakens it.

References

Adamek, J., & Solarz, M. (2023). Adoption factors in digital lending services offered by FinTech lenders. Oeconomia Copernicana, 14(1), 169–212. https://doi.org/10.24136/oc.2023.005

Agarwal, V., Mathiyazhagan, K., Malhotra, S., & Pimpunchat, B. (2023). Building resilience for sustainability of MSMEs post COVID-19 outbreak: An Indian handicraft industry outlook. Socio-Economic Planning Sciences, 85, 1–15. https://doi.org/10.1016/j.seps.2022.101443

Aji, H. M., Berakon, I., & Riza, A. F. (2021). The effects of subjective norm and knowledge about riba on intention to use e-money in Indonesia. Journal of Islamic Marketing, 12(6), 1180–1196. https://doi.org/10.1108/jima-10-2019-0203

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

Ajzen, I. (2020). The theory of planned behavior: frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195

Alfadri, F., Aini, N., & Siregar, L. (2022). Public attitude to online loans. Journal of Islamic Financial Technology, 1(2), 1–11 https://doi.org/10.24952/jiftech.v1i2.6673

Angkasa, A., Wamafma, F., Juanda, O., & Nunna, B. P. (2023). Illegal online loans in indonesia: between the law enforcement and protection of victim. Lex Scientia Law Review, 7(1). 120–178. https://doi.org/10.15294/lesrev.v7i1.67558

Apriliana, T. H., Gusni, G., & Farida, L. N. (2023). Model intensi umkm dalam mengadopsi layanan pinjaman online (financial technology lending). Jurnal Ilmiah Universitas Batanghari Jambi. 23(2), 2403–2412. https://doi.org/10.33087/jiubj.v23i2.4086

Arruda Filho, E. J. M., Nogueira, A. C. L., & Costa, E. M. S. da. (2022). Social influence effect on consumers’ intention to adopt mobile banking services. Information Systems Management, 39(3), 269–285. https://doi.org/10.1080/10580530.2021.1965678

Artavanis, N., & Karra, S. (2020). Financial literacy and student debt. European Journal of Finance, 26(4–5), 382–401. https://doi.org/10.1080/1351847X.2019.1711435

Ashraf, B. N., & Shen, Y. (2019). Economic policy uncertainty and banks’ loan pricing. Risk Management EJournal. 44, 1–37. https://doi.org/10.1016/j.jfs.2019.100695

Bisht, H. S., & Singh, D. (2020). Challenges faced by micro, small and medium enterprises: a systematic review. World Review of Science, Technology and Sustainable Development, 16(3), 205–220. https://doi.org/10.1504/wrstsd.2020.113046

Chauhan, V., Yadav, R., & Choudhary, V. (2019). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers. International Journal of Bank Marketing, 37(1), 323–339. https://doi.org/10.1108/IJBM-02-2018-0028

Damghanian, H., Zarei, A., & Siahsarani Kojuri, M. A. (2016). Impact of perceived security on trust, perceived risk, and acceptance of online banking in Iran. Journal of Internet Commerce, 15(3), 214–238. https://doi.org/10.1080/15332861.2016.1191052

Daume, J., & Hüttl-Maack, V. (2020). Curiosity-inducing advertising: how positive emotions and expectations drive the effect of curiosity on consumer evaluations of products. International Journal of Advertising, 39(2), 307–328. https://doi.org/10.1080/02650487.2019.1633163

Disney, R., & Gathergood, J. (2013). Financial literacy and consumer credit portfolios. Journal of Banking and Finance, 37(7), 2246–2254. https://doi.org/10.1016/J.JBANKFIN.2013.01.013

Dwijayanti, N., Iqbal, M., & Zulfikar, M. (2022). The Role of Islamic Fintech P2PL in Increasing Inclusion and Financial Literacy of MSMEs. Journal of Islamic Finance, 11(1), 94–101. https://doi.org/10.31436/jif.v11i1.638

Edelberg, W. (2006). Risk-based pricing of interest rates for consumer loans. Journal of Monetary Economics, 53(8), 2283–2298. https://doi.org/10.1016/J.JMONECO.2005.09.001

Fadhila, F., & Marpaung, M. (2020). Pengaruh religiusitas, pengetahuan produk dan faktor sosial terhadap penggunaan shopeepaylater. Jurnal Bilal: Bisnis Ekonomi Halal, 1(2), 20–30. https://doi.org/10.51510/bilal.v1i2.189

Fei, L., Shi, H., Sun, X., Liu, J., Shi, H., & Zhu, Y. (2021). The profile of Ponzi scheme victims in China and the characteristics of their decision-making process. Deviant Behavior, 42(12), 1596–1609. https://doi.org/10.1080/01639625.2020.1768639

Firmansyah, F., Bangsawan, S., & Fihartini, Y. (2023). The influence of easy access to loans, cost efficiency and loan duration on consumer intention to carry out loans with borrowing risk as a moderation variable. Journal of Economics, Financ,e and Management Studies. 6(3), 1–15. https://doi.org/10.47191/jefms/v6-i12-06

Fitri, W., Priyono, F. D., & Turisno, B. E. (2022). The juridical review on legal position of illegal online loans based on article 1320 of the civil code (burgerlijk wetboek). Baltic Journal of Law & Politics, 15(7), 356–367. https://doi.org/10.2478/bjlp-2022-007025

Ghozali, I., & Kusumadewi, K. (2023). Partial least squares konsep, teknik dan aplikasi menggunakan program SmartPLS 4.0 untuk penelitian empiris. Badan Penerbit Universitas Diponegoro

Gupta, U., Agarwal, B., & Nautiyal, N. (2022). Financial technology adoption—a case of indian MSMEs. Финансы: Теория и Практика, 26(6), 192–211. https://doi.org/10.26794/2587-5671-2022-26-6-192-211

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage, Thousand Oaks, CA. https://doi.org/10.1007/978-3-030-80519-7

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/DOI:10.1108/EBR-11-2018-0203

Hakim, L., Fitriyani, Permana, M. I. C., & Aini, N. N. (2022). Pengaruh pinjaman online terhadap perkembangan usaha koperasi syariah bmt investa mubarokah cianjur. Ar-Rihlah: Jurnal Keuangan Dan Perbankan Syariah, 2(2), 179-185. https://doi.org/10.35194/arps.v2i2.2673

Hamidah, N., Pahala, I., & Gurendrawati, E. (2023). Literature study: financial literacy on the use of online loans. FOCUS. 4(2), 67–71. https://doi.org/10.37010/fcs.v4i2.1202

Hasan, Z., & Azli, M. (2022). The Online Credit Buying and Selling System and its Compatibility with Islamic Law. Journal of Entrepreneurship and Business, 10(2), 17-29. https://doi.org/10.17687/jeb.v10i2.903

Iramani, R., & Lutfi, L. (2021). An integrated model of financial well-being: The role of financial behavior. Accounting, 7(3), 691–700. https://doi.org/10.5267/j.ac.2020.12.007

Irawan, R. L., & Hurriyati, R. (2021, September). The effects of subjective norm on the intention to use of the online shopping customers in Bandung. In 5th Global Conference on Business, Management and Entrepreneurship (GCBME 2020) (pp. 367-370). Atlantis Press. https://doi.org/10.2991/aebmr.k.210831.072

Irdiana, S., Darmawan, K., Ariyono, K. Y., & Chandra, Y. (2022). Analysis of the influence of consumer behavior on the decision of applying multi-purpose loans in financial technology (fintech). International Journal of Economics, Business and Accounting Research (IJEBAR), 6(2) 1435– 1441. https://doi.org/10.29040/ijebar.v6i2.5255

Jerene, W., & Sharma, D. (2019). Determinants of bank customer’s intention to adopt electronic finance technologies in ethiopia: an integration of tam with financial risk, financial trust, and awareness. Journal of Internet Banking and Commerce, 24(2), 1–18. https://doi.org/10.1504/ijef.2019.104080

Jiang, W., Chen, Y., & Zhang, Y. (2021). The effect of perceived control on behavioral intention to apply for credit cards online: mediating role of perceived risk, moderating role of regulatory focus. Proceedings of the 2021 12th International Conference on E-Business, Management and Economics. 739–746. https://doi.org/10.1145/3481127.3481200

Kaur, S., & Arora, S. (2020). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator. Journal of Asia Business Studies, 15(1), 1–30. https://doi.org/10.1108/jabs-08-2019-0252

Kaur, S., & Arora, S. (2021). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator. Journal of Asia Business Studies, 15(1), 1–30. https://doi.org/10.1108/JABS-08-2019-0252

Khairunnisa, H. L., & Syamlan, Y. T. (2021). Analyzing the intention of borrower to use fintech lending. Ekonomi Islam Indonesia, 3(2), 1–14 https://doi.org/10.58968/eii.v3i2.26

Khiba, F. K., & Ady, S. U. (2023). Financial literacy, risk perceptions, and consumptive behavior on interest in using online loans. Journal of Economics, Finance and Management Studies, 6(11), 5322–5333. https://doi.org/10.47191/jefms/v6-i11-07

Lea, S. E. G. (2021). Debt and overindebtedness: Psychological evidence and its policy implications. Social Issues and Policy Review, 15(1), 146–179. https://doi.org/10.1111/sipr.12074

Liébana-Cabanillas, F., Singh, N., Kalinic, Z., & Carvajal-Trujillo, E. (2021). Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: A multi-analytical approach. Information Technology and Management, 22(2), 133–161. https://doi.org/10.1007/s10799-021-00328-6

Liu, L., & Zhang, H. (2021). Financial literacy, self-efficacy and risky credit behavior among college students: Evidence from online consumer credit. Journal of Behavioral and Experimental Finance, 32, 1–11. https://doi.org/10.1016/j.jbef.2021.100569

Morgan, P., Huang, B., & Trinh, L. (2020). The need to promote digital financial literacy for the digital age. Tokyo: T-20 Japan. Available online: https://t20japan.org/policy-brief-need-promote-digital-financial-literacy/

Naysary, B., & Daud, S. N. (2021). Peer to peer lending industry in china and its implication on economic indicators: testing the mediating impact of SMEs performance. International Journal of Financial Research, 12(2), 106–114. https://doi.org/10.5430/ijfr.v12n2p106

OJK. (2024). Daftar Penyelenggara Fintech Lending Terdaftar dan Berizin OJK. https://sikapiuangmu.ojk.go.id/FrontEnd/CMS/NewDetailMateri/538

Park, S.-H., Mahony, D. F., Kim, Y., & Do Kim, Y. (2015). Curiosity generating advertisements and their impact on sport consumer behavior. Sport Management Review, 18(3), 359–369. https://doi.org/10.1016/j.smr.2014.10.002

Pengnate, S. F., & Riggins, F. J. (2020). The role of emotion in P2P microfinance funding: A sentiment analysis approach. International Journal of Information Management, 54, 1–14. https://doi.org/10.1016/j.ijinfomgt.2020.102138

Prajogo, U., & Rusno, R. (2022). Persepsi risiko terhadap minat melakukan pinjaman online dengan kemudahan penggunaan sebagai variabel moderasi. MBR (Management and Business Review), 6(1), 22-32.

Prayusi, A. D., & Ingriyani, L. (2023). Pengaruh literasi keuangan, persepsi kemudahan, persepsi risiko, dan kepercayaan terhadap minat menggunakan shopee paylater. Seminar Nasional Akuntansi Dan Manajemen PNJ, 4(1), 1–8. https://doi.org/10.47065/ekuitas.v6i3.6953

Putri, G. A., Widagdo, A. K., & Setiawan, D. (2023). Analysis of financial technology acceptance of peer to peer lending (P2P lending) using extended technology acceptance model (TAM). Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 1–12. https://doi.org/10.1016/j.joitmc.2023.100027

Rosavina, M., Rahadi, R. A., Kitri, M. L., Nuraeni, S., & Mayangsari, L. (2019). P2P lending adoption by SMEs in Indonesia. Qualitative Research in Financial Markets, 11(2), 260–279. https://doi.org/10.1108/QRFM-09-2018-0103

Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064. https://doi.org/10.1002/mar.21640

Simamora, R., & Muda, I. (2022). Fintech lending support for micro, small and medium enterprises (MSME) in Indonesia. ICSST 2021: Proceedings of the 1st International Conference on Social, Science, and Technology, ICSST 2021, 25 November 2021, Tangerang, Indonesia, 266. https://doi.org/10.4108/eai.25-11-2021.2318843

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

Sreejesh, S., Paul, J., Strong, C., & Pius, J. (2020). Consumer response towards social media advertising: effect of media interactivity, its conditions and the underlying mechanism. International Journal of Information Management, 54, 1–11. https://doi.org/10.1016/j.ijinfomgt.2020.102155

Suhányiová, A., Suhányi, L., & Kočišová, M. (2023). Business confidence in the sustainable manufacturing sector in the context of production, production prices, and interest rates. Sustainability. 16(1), 1–20, https://doi.org/10.3390/su16010173

To, A. T., & Trinh, T. H. M. (2021). Understanding behavioral intention to use mobile wallets in vietnam: Extending the TAM model with trust and enjoyment. Cogent Business & Management, 8(1), 1–15. https://doi.org/10.1080/23311975.2021.1891661

Ursavaş, Ö. F., Yalçın, Y., & Bakır, E. (2019). The effect of subjective norms on preservice and in-service teachers’ behavioural intentions to use technology: A multigroup multimodel study. British Journal of Educational Technology, 50(5), 2501–2519. https://doi.org/10.1111/bjet.12834

Van der Cruijsen, C., de Haan, J., & Roerink, R. (2023). Trust in financial institutions: A survey. Journal of Economic Surveys, 37(4), 1214–1254. https://doi.org/10.1111/joes.12468

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

Downloads

Published

2025-10-30

How to Cite

Farida, L., Saleh, C., Indraningrat, K., Utami, E. S., & Apriliana, T. (2025). Intention model and factors leading to MSMEs falling into the trap of illegal online loans . BISMA (Bisnis Dan Manajemen), 18(1), 86–112. https://doi.org/10.26740/bisma.v18n1.p86-112

Issue

Section

Articles
Abstract views: 15 , PDF Downloads: 15

Similar Articles

You may also start an advanced similarity search for this article.