Determinan Adopsi Financial Technology Menggunakan Pendekatan Theory Planned Behavior Pada UMKM Fashion

Authors

  • Angga Gumilar Program Studi Administrasi Bisnis, STISIP Bina Putera Banjar
  • Lia Marliana Program Studi Administrasi Bisnis, STISIP Bina Putera Banjar

DOI:

https://doi.org/10.32534/jv.v19i1.4859

Abstract

Penggunaan financial technology (fintech) pada usaha fashion sangat penting, mengingat sub-sektor fashion tercatat memiliki nilai ekspor tertinggi pada industry kreatif tahun 2017-2019. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor apa saja yang mempengaruhi minat pelaku UMKM Sektor Fashion di Kota Tasikmalaya dalam mengadopsi fintech berdasarkan pendekatan Theory of Planned Behavior (TPB). Penelitian ini menggunakan metode kuantitatif dengan Struktural Equation Modeling (SEM) untuk menguji konseptualisasi teoritis terhadap 56 responden pemilik usaha fashion di Kota Tasikmalaya. Hasil penelitian menunjukkan bahwa adopsi fintech pelaku usaha fashion di Kota Tasikmalaya dipengaruhi oleh faktor sikap, norma sosial, dan control perilaku, selain itu informasi yang berkualitas menjadi input dari ketiga variabel tersbut untuk menggunakan fintech. Berdasarkan hal tersebut, penelitian ini memberikan kontribusi terkait literatur tentang minat menggunakan financial technology dari sudut pandang teori TPB (Theory of Planned Behavior) pada usaha fashion di Kota Tasikmalaya.

Keywords:

Fintech, Theory of Planned Behavior, Fashion

References

Abbasi, K., Alam, A., Du, M. A., & Huynh, T. L. D. (2021). FinTech, SME efficiency and national culture: Evidence from OECD countries. Technological Forecasting and Social Change, 163. https://doi.org/10.1016/j.techfore.2020.120454

Afandi, M. Y. (2021). Antecedents of digitizing ZIS payments: a TAM and TPB approaches. Journal of Finance and Islamic Banking, 4(2). 55-76. https://doi.org/10.22515/jfib.v4i2.4899

Aggarwal, M., Nayak, K. M., & Bhatt, V. (2023). Examining the factors influencing fintech adoption behaviour of gen Y in India. Cogent Economics and Finance, 11(1). https://doi.org/10.1080/23322039.2023.2197699

Agrebi, S., & Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22, 16–23. https://doi.org/10.1016/j.jretconser.2014.09.003

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

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), 153-167.. https://doi.org/10.3390/joitmc6040153

Anik, S., Santoso, B., & Ayuni, S. (2022). The Importance of Information Technology Adoption and Fintech to Improve SMEs Performance During the Covid-19 Pandemic, 527, 308–318. https://doi.org/10.1007/978-3-031-14627-5_31

Arikunto, S. (2019). Prosedur penelitian suatu pendekatan praktik. Rineka cipta.

Baber, H., & Billah, N. M. B. (2022). Fintech and Islamic Banks-an integrative model approach to predict the intentions. Review of Applied Socio-Economic Research, 24(2), 24–45. https://doi.org/10.54609/reaser.v24i2.215

Batini, C., & Scannapieco, M. (2016). Introduction to Information Quality (pp. 1–19). https://doi.org/10.1007/978-3-319-24106-7_1

Bizer, C., & Cyganiak, R. (2009). Quality-driven information filtering using the WIQA policy framework. Journal of Web Semantics, 7(1), 1–10. https://dx.doi.org/10.2139/ssrn.3199414

Cassetta, E., Monarca, U., Dileo, I., Di Berardino, C., & Pini, M. (2020). The relationship between digital technologies and internationalisation. Evidence from Italian SMEs. Industry and Innovation, 27(4), 311–339. https://doi.org/10.1080/13662716.2019.1696182

Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates Publishers

Chuang, L.-M., Liu, C.-C., & Kao, H.-K. (2016). The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences, 3(7), 1–15. https://doi.org/10.1177/21582440231181388

Chung, I. (2007). Roles and impacts of IT on new social norms, ethical values and legal frameworks in shaping a future digital society. NSF/OECD Workshop on Social & Economic Factors Shaping the Future of the Internet.

Dai, M., & Van Hove, L. (2017). The impact of customer images on online purchase decisions: Evidence from a Chinese C2C Web site. First Monday, 22(10). https://doi.org/10.5210/fm.v22i10.7120.

Dapp, T., Slomka, L., AG, D. B., & Hoffmann, R. (2014). Fintech–The digital (r) evolution in the financial sector. Deutsche Bank Research, 11, 1–39.

Fenwick, M., McCahery, J. A., & Vermeulen, E. P. M. (2018). Fintech and the financing of SMEs and entrepreneurs: From crowdfunding to marketplace lending. In The Economics of Crowdfunding: Startups, Portals and Investor Behavior (pp. 103–129). Springer International Publishing. https://doi.org/10.1007/978-3-319-66119-3_6

Gao, J., Zhang, C., Wang, K., & Ba, S. (2012). Understanding online purchase decision making: The effects of unconscious thought, information quality, and information quantity. Decision Support Systems, 53(4), 772–781. https://doi.org/10.1016/j.dss.2012.05.011

Ghazali, I., & Latan, H. (2014). SMART PLS. Undip Publishers. Semarang.

Gholami, Z., Abdekhoda, M., & Gavgani, V. (2018). Determinant Factors in Adopting Mobile Technology-based Services by Academic Librarians. DESIDOC Journal of Library & Information Technology, 38(4), 271-277. https://doi.org/10.14429/djlit.38.4.12676.

Halim, E., Rianto, A., & Hebrard, M. (2020). The Impact of Marketing Influencer and Information Quality to Purchase Intention of Instagram Users. 2020 International Conference on Information Management and Technology (ICIMTech), 794–799. http://dx.doi.org/10.1109/ICIMTech50083.2020.9211167

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

Huang, H., Stvilia, B., Jörgensen, C., & Bass, H. W. (2012). Prioritization of data quality dimensions and skills requirements in genome annotation work. Journal of the American Society for Information Science and Technology, 63(1), 195–207. https://doi.org/10.1002/asi.21652

Irimia-Diéguez, A., Velicia-Martín, F., & Aguayo-Camacho, M. (2023). Predicting Fintech Innovation Adoption: the Mediator Role of Social Norms and Attitudes. Financial Innovation, 9(1), 1–23. https://doi.org/10.1186/s40854-022-00434-6

Ismail, M. Z. (2021). Faktor-Faktor Yang Memengaruhi Minat Individu Dalam Penggunaan Financial Technology (Studi Kasus Pada Pengguna Ovo Di Yogyakarta). Retrieved from https://dspace.uii.ac.id/handle/123456789/32110?show=full

Kadir, H. A., Ismail, R., Wok, S., & Manan, K. A. (2022). The mediating effect of attitude on e-wallet usage among users in Malaysia. Journal of Communication Education, 2(1), 58–77.

Karim, S., Naz, F., Naeem, M. A., & Vigne, S. A. (2022). Is FinTech providing effective solutions to Small and Medium Enterprises (SMEs) in ASEAN countries? Economic Analysis and Policy, 75, 335–344. https://doi.org/10.1016/j.eap.2022.05.019

Kartawinata, B. R., Pradana, M., Akbar, A., Trenggana, A. F. M., & Cahyaningrum, S. D. (2020). The effect of easy perception and risk of users of financial technology services in smes of bandung, indonesia. 59, 997–1007. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105574582&partnerID=40&md5=c26d5aab72e8f527d4578f41873e58e6

Kemenparekraf, P. (2020). Statistik Ekonomi Kreatif 2020. Retrieved from https://kemenparekraf.go.id/publikasi-statistik-ekonomi-kreatif/statistik-ekonomi-kreatif-2020

Krivkovich, A., White, O., Townsend, Z., & Euart, J. (2020). How US customers’ attitudes to fintech are shifting during the pandemic. McKinsey & Company, December, 17. Retrieved from https://www.anuarioseguros.lat/admin/storage/files/MCKINSEY_2.pdf

Le, M. T. H. (2021). Examining factors that boost intention and loyalty to use Fintech post-COVID-19 lockdown as a new normal behavior. Heliyon, 7(8), e07821. https://doi.org/10.1016/j.heliyon.2021.e07821

Lee, T. S., Ariff, M. S. M., Zakuan, N., Sulaiman, Z., & Saman, M. Z. M. (2016). Online sellers’ website quality influencing online buyers’ purchase intention. IOP Conference Series: Materials Science and Engineering, 131(1), 12014. Retrieved from https://ui.adsabs.harvard.edu/abs/2016MS%26E..131a2014S/abstract

Li, H., Lu, Z., & Yin, Q. (2023). The Development of Fintech and SME Innovation: Empirical Evidence from China. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15032541

Lontchi, C. B., Yang, B., & Shuaib, K. M. (2023). Effect of Financial Technology on SMEs Performance in Cameroon amid COVID-19 Recovery: The Mediating Effect of Financial Literacy. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15032171

Majid, R. (2021). The role of religiosity in explaining the intention to use Islamic fintech among MSME actors. International Journal of Islamic Economics and Finance (IJIEF), 4(2), 207–232. https://doi.org/10.18196/ijief.v4i2.11833

Melo, F. V. S., de Farias, S. A., & Barbosa, O. T. (2019). Dressing in white, a true brazilian tradition: social influence, values, and symbolic consumption. Revista de Administração Da Universidade Federal de Santa Maria, 12(2), 215–232. https://doi.org/10.5902/1983465917984

Meyliana, M., & Fernando, E. (2019). The influence of perceived risk and trust in adoption of fintech services in Indonesia. CommIT (Communication and Information Technology) Journal, 13(1), 31–37. https://doi.org/10.21512/commit.v13i1.5708

Myers, M. B., Calantone, R. J., Page Jr, T. J., & Taylor, C. R. (2000). Academic insights: An application of multiple-group causal models in assessing cross-cultural measurement equivalence. Journal of International Marketing, 8(4), 108–121. http://dx.doi.org/10.1509/jimk.8.4.108.19790

Nayanajith, D. A. G., & Damunupola, K. A. (2019). Relationship of perceived behavioral control and adoption of internet banking in the presence of a moderator. Asian Journal of Multidisciplinary Studies, 2(2).

Nayer, C. P. S. (1986). Can a traditional financial technology co-exist with modern financial technologies? The Indian experience. Savings Dev, 10(1), 31–58. Retrieved from https://www.jstor.org/stable/25829946

Nugraha, D. P., Setiawan, B., Nathan, R. J., & Fekete-Farkas, M. (2022). Fintech Adoption Drivers for Innovation for SMEs in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 8(4). https://doi.org/10.3390/joitmc8040208

Ogutu, R. P., Ogutu, M., & Njanja, L. (2014). The moderating effect of subjective norms, perceived behavioural control and gender on the relationship between attitude towards internet advertising and purchase intention of University students in Kenya. Retrieved from http://erepository.uonbi.ac.ke/handle/11295/79195

Peters, E., Dieckmann, N., Dixon, A., Hibbard, J. H., & Mertz, C. K. (2007). Less is more in presenting quality information to consumers. Medical Care Research and Review, 64(2), 169–190. https://doi.org/10.1177/10775587070640020301

Priyadarshini, C., Sreejesh, S., & Anusree, M. R. (2017). Effect of information quality of employment website on attitude toward the website: A moderated mediation study. International Journal of Manpower, 38(5), 729–745. Retrieved from https://ideas.repec.org/a/eme/ijmpps/ijm-12-2015-0235.html

Purwantini, A. H., Athief, F. H. N., & Waharini, F. M. (2020). Indonesian consumers’ intention of adopting islamic financial technology services. Shirkah: Journal of Economics and Business, 5(2), 171–196. https://doi.org/10.22515/shirkah.v5i2.304

Ramachandran, T., & Stella, M. (2022). Behavioural intention towards cryptocurrency adoption among students: A fintech innovation. Journal of Positive School Psychology, 5046–5053. Retrieved from https://journalppw.com/index.php/jpsp/article/view/8327

Rialp-Criado, A., & Komochkova, K. (2017). Innovation strategy and export intensity of Chinese SMEs: The moderating role of the home-country business environment. Asian Business & Management, 16, 158–186. Retrieved from https://ideas.repec.org/a/pal/abaman/v16y2017i3d10.1057_s41291-017-0018-2.html

Sabandar, S. Y. (2019). Financial technology: Smes answer the opportunities and challenges of industrial revolution 4.0. Journal of Advanced Research in Dynamical and Control Systems, 11(8 Special Issue), 2337–2348. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076039916&partnerID=40&md5=7d741305713cc845a91a4939ba5a94cb

Suzianti, A., Haqqi, F. R., & Fathia, S. N. (2022). Strategic recommendations for financial technology service development: A comprehensive risk-benefit IPA-Kano analysis. Journal of Modelling in Management, 17(4), 1481–1503.

Teo, A., Tan, G. W., Cheah, C., Ooi, K., & Yew, K. (2012). Can the demographic and subjective norms influence the adoption of mobile banking? International Journal of Mobile Communications, 10(6), 578–597. http://dx.doi.org/10.1504/IJMC.2012.049757

Thoradeniya, P., Lee, J., Tan, R., & Ferreira, A. (2015). Sustainability reporting and the theory of planned behaviour. Accounting, Auditing & Accountability Journal, 28(7), 1099–1137. https://doi.org/10.1108/AAAJ-08-2013-1449

Tian, Y., Chan, T. J., Suki, N. M., & Kasim, M. A. (2023). Moderating Role of Perceived Trust and Perceived Service Quality on Consumers’ Use Behavior of Alipay e-wallet System: The Perspectives of Technology Acceptance Model and Theory of Planned Behavior. Human Behavior and Emerging Technologies, 2023. https://doi.org/10.1155/2023/5276406

Upadhyay, N., Upadhyay, S., Abed, S. S., & Dwivedi, Y. K. (2022). Consumer adoption of mobile payment services during COVID-19: Extending meta-UTAUT with perceived severity and self-efficacy. International Journal of Bank Marketing, 40(5), 960–991.

Wali, M. Q. K., & Alam, A. (2022). Perspective Regarding Behavioral Intention Maintaining Food Security in District Haveli AJK. Journal of Behavioural Sciences, 32(1). Retrieved from http://pu.edu.pk/images/journal/doap/PDF-FILES/5_V32-1-2022.pdf

Downloads

Published

2024-04-30

How to Cite

Gumilar, A., & Marliana, L. (2024). Determinan Adopsi Financial Technology Menggunakan Pendekatan Theory Planned Behavior Pada UMKM Fashion. Value : Jurnal Manajemen Dan Akuntansi, 19(1), 328–340. https://doi.org/10.32534/jv.v19i1.4859