Identifikasi Faktor-Faktor Pendorong Adopsi Fintech pada UMKM di Priangan Timur

Authors

  • Aquinaldo Sistanto Putra Universitas Siliwangi

DOI:

https://doi.org/10.29408/jpek.v6i2.7035

Keywords:

MSMES, Fintech, Theory Of Planned Behavior, Innovativeness

Abstract

Fintech, as a part of information technology development, has been utilized by business sectors, including the MSMEs. This research aims to identify the influencing factor of MSMEs from the Eastern Priangan region to use fintech. The theory of planned behavior was selected as the theoretical model for this research. This model has three predictors, namely attitude, subjective norms, and perceived behavioral control.  All of these predictors were used as the independent variables. Innovativeness was added as the fourth independent variable. The intention to use fintech is set as the dependent variable. This research used quantitative and verificative approach. The sample size was determined by simple random sampling.  A total of 230 MSMEs from the Eastern Priangan region have participated in this research. The data collection process was completed by distributing online questionnaires in Google Forms. The collected data was analyzed with multiple linear regression, followed by hypotheses testing. The results revealed that attitude (t = -,070) and subjective norms (t = 0,968) didn’t have a significant influence on fintech adoption. Perceived behavioral control (t = 2,215) and innovativeness (t=8,685), on the contrary, generated significant influence

References

Aduba, J. J. (2021). On the determinants, gains and challenges of electronic banking adoption in Nigeria. International Journal of Social Economics, 48(7), 1021–1043. https://doi.org/10.1108/IJSE-07-2020-0452

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information System Research, 9(2), 204–215.

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Al Nawayseh, M. K. (2020). Fintech in COVID-19 and beyond: What factors are affecting customers’ choice of fintech applications? Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 1–15. https://doi.org/10.3390/joitmc6040153

Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. Journal of Enterprise Information Management, 26(3), 250–275. https://doi.org/10.1108/17410391311325225

Chatterjee, A. (2020). Financial inclusion, information and communication technology diffusion, and economic growth: a panel data analysis. Information Technology for Development, 26(3), 607–635. https://doi.org/10.1080/02681102.2020.1734770

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

Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558–1572. https://doi.org/10.1016/J.DSS.2006.01.002

Cheng, Y. M. (2014). Exploring the intention to use mobile learning: The moderating role of personal innovativeness. Journal of Systems and Information Technology, 16(1), 40–61. https://doi.org/10.1108/JSIT-05-2013-0012

Coffie, C. P. K., Hongjiang, Z., Mensah, I. A., Kiconco, R., & Simon, A. E. O. (2020). Determinants of FinTech payment services diffusion by SMEs in Sub-Saharan Africa: evidence from Ghana. Information Technology for Development, 27(3), 539–560. https://doi.org/10.1080/02681102.2020.1840324

Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574

Gai, K., Qiu, M., & Sun, X. (2018). A survey on FinTech. Journal of Network and Computer Applications, 103(3), 262–273. https://doi.org/10.1016/j.jnca.2017.10.011

Ghozali, I. (2011). Aplikasi Analisis Multivariate Dengan Program IBM. SPSS 19 (5th ed.). Universitas Diponegoro.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Prentice Hall International.

Ho, J. C., Wu, C. G., Lee, C. S., & Pham, T. T. T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63. https://doi.org/10.1016/j.techsoc.2020.101360

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

International Labour Organization. (2019). Challenges and Opportunities Financing Small Businesses in Indonesia. www.ilo.org/publns

Kementerian Keuangan Republik Indonesia. (2022). Pemberdayaan UMKM. https://djpb.kemenkeu.go.id/kppn/lubuksikaping/id/data-publikasi/berita-terbaru/3015-pemberdayaan-umkm.html

Khalifa, M., & Shen, K. N. (2008). Drivers for Transactional B2C M-Commerce Adoption: Extended Theory of Planned Behavior. Journal of Computer Information Systems, 48(3), 111–117. https://doi.org/10.1080/08874417.2008.11646027

Khera, P. (2021). Digitalization: A Safe Path to A More Inclusive Recovery In Indonesia? In International Monetary Fund Asia and Pacific Dept (Ed.), Indonesia: Selected Issues (pp. 79–99). https://doi.org/https://doi.org/10.5089/9781513570860.002

Kim, D. J., Hebeler, J., Yoon, V., & Davis, F. (2018). Exploring Determinants of Semantic Web Technology Adoption from IT Professionals’ Perspective: Industry Competition, Organization Innovativeness, and Data Management Capability. Computers in Human Behavior, 86, 18–33. https://doi.org/10.1016/j.chb.2018.04.014

Kim, E. J., Kim, J. J., & Han, S. H. (2021). Understanding student acceptance of online learning systems in higher education: Application of social psychology theories with consideration of user innovativeness. Sustainability (Switzerland), 13(2), 1–14. https://doi.org/10.3390/su13020896

Kirton, M. J. (1976). Adaptors and innovators: a description and measure. Journal of Applied Psychology, 61(5), 622–629.

Kirton, M. J. (1984). Adaptors and innovators: why new initiatives get blocked. Long Range Planning, 17(2), 137–143.

Kuncoro, M. (2013). Metode Riset untuk Bisnis dan Ekonomi: Bagaimana Meneliti dan Menulis Tesis? (4th ed.). Penerbit Erlangga.

Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/j.bushor.2017.09.003

Lin, C., & Nguyen, C. (2011). Exploring e-payment adoption in Vietnam and Taiwan. Journal of Computer Information Systems, 51(4), 41–52. https://doi.org/10.1080/08874417.2011.11645500

Lin, F. T., Wu, H. Y., & Tran, T. N. N. (2015). Internet banking adoption in a developing country: an empirical study in Vietnam. Information Systems and E-Business Management, 13(2), 267–287. https://doi.org/10.1007/s10257-014-0268-x

Mazambani, L., & Mutambara, E. (2020). Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30–50. https://doi.org/10.1108/AJEMS-04-2019-0152

Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4(4), 229–242. https://doi.org/10.1086/208701

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(1), 1–17. https://doi.org/10.3390/joitmc7010088

Ohiani, A. S. (2021). Technology innovation in the Nigerian banking system: prospects and challenges. Rajagiri Management Journal, 15(1), 1–14. https://doi.org/10.1108/ramj-05-2020-0018

Pratama, S., Afriza, E. S. D., & Nelloh, L. A. M. (2020). The Role of Government Support and User Innovativeness to Entrepreneurs (Case study of SME’s in Depok, Indonesia). International Journal of Business Studies, 4(2), 127–134.

Saiedi, E., Mohammadi, A., Broström, A., & Shafi, K. (2020). Distrust in Banks and Fintech Participation: The Case of Peer-to-Peer Lending. Entrepreneurship Theory and Practice, 0(0), 1–28. https://doi.org/DOI: 10. 1177/ 1042 2587 20958020

Sarwono, J., & Budiono, H. (2012). Statistik Terapan. Aplikasi untuk Riset Skripsi, Tesis, dan Disertasi (Menggunakan SPSS, AMOS, dan Excel). PT Elex Media Komputindo.

Setiawan, B., Nugraha, D. P., Irawan, A., Nathan, R. J., & Zoltan, Z. (2021). User Innovativeness and Fintech Adoption in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 188. https://doi.org/10.3390/joitmc7030188

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

Sheng, T. (2021). The effect of fintech on banks’ credit provision to SMEs: Evidence from China. Finance Research Letters, 39. https://doi.org/10.1016/j.frl.2020.101558

Shih, Y. Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research, 14(3), 213–223. https://doi.org/10.1108/10662240410542643

Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675–1697. https://doi.org/10.1108/MD-09-2019-1318

Sugiyono. (2015). Metode Penelitian Kombinasi (Mix Methods). Alfabeta.

Thong, J. Y. L. (1999). An Integrated Model of Information Systems Adoption in Small Businesses. Journal of Management Information Systems, 15(4), 187–214.

Thong, J. Y. L., & Yap, C. S. (1995). CEO characteristics, organizational characteristics and information technology adoption in small businesses. Omega, 23(4), 429–442. https://doi.org/https://doi.org/10.1016/0305-0483(95)00017-I

Ting, H., Yacob, Y., Liew, L., & Lau, W. M. (2016). Intention to Use Mobile Payment System: A Case of Developing Market by Ethnicity. Procedia - Social and Behavioral Sciences, 224, 368–375. https://doi.org/10.1016/j.sbspro.2016.05.390

Wu, I. L., & Chen, J. L. (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human Computer Studies, 62(6), 784–808. https://doi.org/10.1016/j.ijhcs.2005.03.003

Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding fintech platform adoption: Impacts of perceived value and perceived risk. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893–1911. https://doi.org/10.3390/jtaer16050106

Downloads

Additional Files

Published

2022-12-14