Fintech Adoption: Peer-to-Peer Lending for Indonesian Msmes
Downloads
The objective of this research is to examine the conduct of Micro, Small, and Medium Enterprises (MSMEs) concerning their embrace of financial technology linked to peer-to-peer lending. Employing a survey approach, this research collected data from MSME owners in Indonesia using purposive sampling techniques. Structural Equation Modeling (SEM) was employed to evaluate the impact of dimensions within the Unified Theory of Acceptance and Use of Technology on the preparedness of MSMEs to adopt the FinTech model. The results revealed that each dimension of the Unified Theory of Acceptance and Use of Technology, encompassing performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, price value, habit, perceived trust, and perceived risk, plays a crucial role in shaping the behavioral intention of MSMEs toward the adoption of financial technology, specifically peer-to-peer lending. Effort expectancy emerged as the primary factor influencing performance expectancy. Moreover, perceived trust exhibits a close correlation with perceived risk, thereby influencing the behavioral intention of MSMEs. However, perceived risk is the only dimension with a negative impact.
Agustini, P. (2023). Indeks Literasi Digital Indonesia Kembali Meningkat Tahun 2022. KOMINFO. https://aptika.kominfo.go.id/2023/02/indeks-literasi-digital-indonesia-kembali-meningkat-tahun-2022/
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers' intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138.
Arner, D. W., Barberis, J., & Buckley, R. P. (2017). Fintech and Regtech in a Nutshell, and The Future in a Sandbox. Research Foundation Briefs, 3(4). https://www.cfainstitute.org/en/research/foundation/2017/fintech-and-regtech-in-a-nutshell-and-the-future-in-a-sandbox?s_cid=ppc_RF_Google_Search_FinTechandRegTech#
Bank Indonesia. (2020). Mengenal Financial Teknologi. https://www.bi.go.id/id/edukasi/Pages/mengenal-Financial-Teknologi.aspx
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis : A Global Perspective (7th ed.). Pearson Prentice-Hall.
Havrylchyk, O., & Verdier, M. (2018). The Financial Intermediation Role of the P2P Lending Platforms. Comparative Economic Studies, 60, 115–10. https://doi.org/https://doi.org/10.1057/s41294-017-0045-1
Kholidah, H., Hijriah, H. Y., Mawardi, I., Huda, N., Herianingrum, S., & Alkausar, B. (2022). A Bibliometric mapping of peer-to-peer lending research based on economic and business perspective. Heliyon, 8.
KOMINFO. (2022). Status Literasi DIgital di Indonesia.
Lara-Rubio, J., Villarejo-Ramos, A. F., & Liébana-Cabanillas, F. (2020). Explanatory and predictive model of the adoption of P2P payment systems. Behaviour & Information Technology. https://doi.org/https://doi.org/10.1080/0144929X.2019.1706637 Explanatory
McEasy. (2022). Peran UMKM dalam Menghadapi Resesi Global 2023. McEasy.
https://www.mceasy.co.id/post/peran-umkm-dalam-menghadapi-resesi-global-2023
Menkeu. (2023). Di Tengah Ancaman Resesi Global, Menkeu: Pemulihan Indonesia Sedang Naik dan Merata. Menteri Keuangan Republik Indonesia. https://www.kemenkeu.go.id/informasi-publik/publikasi/berita-utama/Pemulihan-Indonesia-Sedang-Naik-dan-Merata
Mudjahidin, Hidayat, A. A., & Aristio, A. P. (2022). Conceptual model of use behavior for peer-to-peer lending in Conceptual model of use behavior for peer-to-peer lending in Indonesia. Procedia Computer Science, 197, 215–222.
Mueller, R. O. (1997). Structural equation modeling: Back to basics. Structural Equation Modeling: A Multidisciplinary Journal, 4(4), 353–369. https://doi.org/http://dx.doi.org/10.1080/10705519709540081
Najaf, K., Subramaniam, R. K., & Atayah, O. F. (2021). Understanding the implications of FinTech Peer-to- Peer (P2P) lending during the COVID-19 pandemic. Journal of Sustainable Finance & Investment. https://doi.org/10.1080/20430795.2021.1917225
Najib, M., Ermawati, W. J., Fahma, F., Endri, E., & Suhartanto, D. (2021). FinTech in the Small Food Business and Its Relation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7, 88. https://doi.org/https:// doi.org/10.3390/joitmc7010088
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, 404–414.
https://doi.org/https://doi.org/10.1016/j.chb.2016.03.030
Otoritas Jasa Keuangan. (2023). Statistik Fintech Lending Periode Februari 2023.
Satgas Waspada Investasi Temukan 133 Fintech P2P Lending Ilegal. (2021). Sekretariat Kabinet Republik Indonesia. https://setkab.go.id/satgas-waspada-investasi-temukan-133-fintech-p2p-lending-ilegal/
Senyo, P., & Osabutey, E. L. C. (2020). Unearthing antecedents to financial inclusion through FinTech innovations. Technovation, 98.
https://doi.org/https://doi.org/10.1016/j.technovation.2020.102155
Septiani, H. laxmi devi, Sumarwan, U., Yuliati, L. Noor, & Kirbrandoko. (2020). Farmers' Behavioral intention to adopt peer-to-peer lending Using UTAUT2 approach. Jurnal Manajemen & Agribisnis, 17(2).
https://doi.org/http://dx.doi.org/10.17358/jma.17.2.107
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling Consumers' Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860–873.
https://doi.org/10.1002/mar.20823
Stein, C. M., Morris, N. J., & Nock, N. L. (2011). Structural Equation Modeling. In Statistical Human Genetics: Methods and Protocols.
Survei Literasi Digital. (2022). Indeks Literasi Digital. Kementerian Kominfo dan Kata Data Insight Center. https://survei.literasidigital.id/
Suryanto, Hermanto, B., & Rusdin. (2020). Edukasi Fintech Bagi Pelaku Usaha Mikro, Kecil, dan Menengah. Kumawula: Jurnal Pengabdian Kepada Masyarakat, 3(1), 18–28.
Suryono, R. R., Budi, I., & Purwandari, B. (2021). Detection of fintech P2P lending issues in Indonesia. Heliyon, 7.
Suryono, R. R., Purwandari, B., & Budi, I. (2019). Peer to Peer (P2P) Lending Problems and Potential Solutions: A Peer to Peer (P2P) Lending Problems and Potential Solutions: A Systematic Literature Review. Proce, 161, 204–214.
Ullman, J. B., & Bentler, P. M. (2012). Structural Equation Modeling. In Research Methods in Psychology. https://doi.org/https://doi.org/10.1002/9781118133880.hop202023
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward A Unified View. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1).