Dorongan Terhadap Upaya Kearifan Lokal dalam Memengaruhi Keputusan Investasi Digital Didasarkan Pada Literasi Keuangan Digital dan Financial Technology
DOI:
https://doi.org/10.37849/midi.v25i2.503Keywords:
Literasi Keuangan Digital, Keputusan Investasi Digital, Financial Technology, Kearifan lokalAbstract
Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi keputusan investasi digital, tinjauan literasi keuangan digital, dan teknologi keuangan yang dimediasi oleh kearifan lokal. Selain itu, penelitian ini menyajikan model dasar baru dalam upaya mengisi ruang terbatas pada isu keputusan investasi digital dari penelitian sebelumnya. Secara umum, keputusan investasi dipengaruhi melalui pendekatan rasional, dalam penelitian ini unsur-unsur budaya filosofis Jawa " nastiti dan ati-ati " diuji untuk mengetahui dampaknya terhadap pengambilan keputusan investasi digital. Penelitian ini bertujuan untuk menguji secara empiris penentuan faktor-faktor yang mempengaruhi keputusan investasi digital dalam tinjauan literasi keuangan digital dan teknologi keuangan yang dimediasi oleh kearifan lokal. Selain itu, penelitian ini menyajikan model dasar baru dalam upaya mengisi ruang terbatas pada isu keputusan investasi digital dari penelitian yang telah dilakukan sebelumnya. Metode kuantitatif dipilih dalam penelitian ini untuk mewakili fenomena keputusan investasi keuangan digital Generasi X, Y dan Z di Indonesia. Data dalam penelitian ini diperoleh melalui penyebaran kuesioner dan dikumpulkan, total 207 responden dengan teknik pengambilan sampel acak sederhana dan snowball. Berdasarkan temuan penelitian ini, terlihat bahwa terdapat pengaruh langsung financial technology dan kearifan lokal terhadap keputusan investasi digital, sedangkan literasi keuangan digital tidak berpengaruh terhadap keputusan investasi digital. Pengaruh tidak langsung ditunjukkan pada variabel literasi keuangan dan financial technology melalui kearifan lokal terhadap keputusan investasi digital.
References
Abad-Segura, E., González-Zamar, M.-D., López-Meneses, E., & Vázquez-Cano, E. (2020). Financial technology: review of trends, approaches and management. Mathematics, 8(6), 951.
Bhatia, A., Chandani, A., Divekar, R., Mehta, M., & Vijay, N. (2022). Digital innovation in wealth management landscape: the moderating role of robo advisors in behavioural biases and investment decision-making. International Journal of Innovation Science, 14(3/4), 693–712.
Broby, D. (2021). Financial technology and the future of banking. Financial Innovation, 7(1), 47.
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. https://www.researchgate.net/publication/311766005
Choung, Y., Chatterjee, S., & Pak, T.-Y. (2023). Digital financial literacy and financial well-being. Finance Research Letters, 58, 104438.
Deenanath, V., Danes, S. M., & ... (2019). Purposive and unintentional family financial socialization, subjective financial knowledge, and financial behavior of high school students. Journal of Financial …. https://connect.springerpub.com/content/sgrjfcp/30/1/83.full.pdf
Fessler, P., Silgoner, M., & Weber, R. (2020). Financial knowledge, attitude and behavior: evidence from the Austrian Survey of Financial Literacy. Empirica. https://doi.org/10.1007/s10663-019-09465-2
Freedman, R. S. (2006). Introduction to financial technology. Elsevier.
Hair, J. F., Page, M., & Brunsveld, N. (2019). Essentials of Business Research Methods; Fourth Edition.
Hair, J. J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks,
N. P., & Ray, S. (2021). Classroom Companion: Business Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R A Workbook. http://www.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014
Koskelainen, T., Kalmi, P., Scornavacca, E., & Vartiainen, T. (2023). Financial literacy in the digital age—A research agenda. Journal of Consumer Affairs, 57(1), 507–528.
Lee, C.-C., Fang, Y., & Liu, M. (2022). Analyzing the nexus of Green Finance, Clean Energy, Green Technology and Environmental Responsibility: Evidence from the DCC-MIDAS.
Lin, C. M., & Smith, S. D. (2007). Hedging, financing and investment decisions: A simultaneous equations framework. Financial Review, 42(2), 191–209. https://doi.org/10.1111/j.1540-6288.2007.00167.x
Li, P. (2018). The research of China’s industrial finance based on input-output technology. IOP Conference Series: Materials Science and Engineering, 423(1). https://doi.org/10.1088/1757-899X/423/1/012150
Lusardi, A., & Mitchell, O. S. (2011). Financial literacy around the world: an overview. Journal of Pension Economics & Finance, 10(4), 497–508.
Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. American Economic Journal: Journal of Economic Literature, 52(1), 5–44.
Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. https://doi.org/10.1007/s10209-014-0348-1
Moşteanu, N. R., Faccia, A., & Cavaliere, L. P. L. (2020). Digitalization and green economy-changes of business perspectives. Proceedings of the 2020 4th …. https://doi.org/10.1145/3416921.3416929
Myers, S. C., & Majluf, N. S. (1984). Corporate financing and investment decisions when firms have information that investors do not have. Journal of Financial Economics, 13(2), 187–221. https://doi.org/10.1016/0304-405X(84)90023-0
Nguyen, L., Gallery, G., & Newton, C. (2019). The joint influence of financial risk perception and risk tolerance on individual investment decision‐making. Accounting &Finance. https://doi.org/10.1111/acfi.12295
Ogbeibu, S., Jabbour, C. J. C., Gaskin, J., Senadjki, A., & Hughes, M. (2021). Leveraging STARA competencies and green creativity to boost green organisational innovative evidence: A praxis for sustainable development. Business Strategy and the Environment, 30(5), 2421–2440. https://doi.org/10.1002/bse.2754
Sangwan, V., Prakash, P., & Singh, S. (2020). Financial technology: a review of extant literature. Studies in Economics and Finance, 37(1), 71–88.
Solanki, S., Wadhwa, S., & Gupta, S. (2019). Digital technology: An influential factor in investment decision making. International Journal of Engineering and Advanced Technology, 8, 27–31.
Tiara, C., Sedjati, F., Luthfia, Q., Langit, A., Muhammad, G., Salsabila, H., Aini, N., Derajad, M. A., & Widhyharto, S. (2021). Kearifan Lokal Pengelolaan Keuangan Masyarakat Penerima Ganti Rugi Lahan YIA. Jurnal Pemikiran Sosiologi, 8(1).
Vertakova, Y., & Plotnikov, V. (2017). Problems of sustainable development worldwide and public policies for green economy. Economic Annals-XXI. https://www.ceeol.com/search/article-detail?id=590979
Wagner, F. (2024). Determinants of conventional and digital investment advisory decisions: a systematic literature review. Financial Innovation, 10(1), 18.
Zhu, X., & Wang, D. (2019). Research on Blockchain Application for E-Commerce, Finance and Energy. IOP Conference Series: Earth and Environmental Science, 252(4). https://doi.org/10.1088/1755-1315/252/4/042126
Downloads
Published
Issue
Section
License
Copyright (c) 2026 yeni indraningtyas, Ari Siswati, Pipit Sundari, Satria Avianda Nurcahyo, Kustiyono

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



