Analisis Keberlanjutan Penggunaan Robo Advisor di Indonesia
Azim Fairus Alam(1*), Didi Achjari(2)
(1) Magister of Accounting, Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta
(2) Department of Accounting, Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta
(*) Corresponding Author
Abstract
Penelitian ini membahas tentang faktor-faktor apasaja yang dapat mempengaruhi seseorang dalam niat menggunakan terus menerus robo advisor di Indonesia. Fokus penelitian tentang bagaimana pengguna menggunakan secara terus menerus robo advisor sebagai media investasi. Penelitian ini menggunakan teori expectation confirmation model untuk mengetahui bagaimana niat menggunakan terus menerus pada robo advisor di Indonesia. Peneliti menambahkan variabel pengetahuan keuangan sebagai keterbaruan pada penelitian ini. Variabel lainnya seperti kegunaan yang dirasakan, kepuasan, dan konfirmasi diharapkan mampu berpengaruh terhadap niat menggunakan terus menerus robo advisor di Indonesia. Data yang dikumpulkan dengan metode survei terhadapa 100 pengguna robo advisor dari 6 aplikasi investasi di Indonesia yaitu Bareksa, Bibit, Reliance, Stockbit dan Halofina. Perhitungan menggunakan Structural Equation Model (SEM) PLS. Hasil penelitian ini menunujukan bahwa, variabel pengetahuan keuangan, kegunaan yang dirasakan, konfirmasi dan kepuasan berpengaruh positif terhadap niat menggunakan terus menerus robo advisor sebagai media investasi di Indonesia. Keterbatasan yang dimiliki pada penelitian ini adalah data pengguna tidak secara langsung didapatkan darii perusahaan penyedia robo advisor di Indonesia.
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Adnyana, I. (2022). Analisis Penerimaan Teknologi Robo-Advisor Dalam Financial Technology Untuk Berinvestasi Oleh Generasi Milenial (Studi Kasus: Bibit). Institut Teknologi Sepuluh Nopember.
Almomani, A., Mahmoud, M., & Ahmad, M. (2018). Factors that Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan. Journal of Organizational and End User Computing, 30, 51–63. https://doi.org/10.4018/JOEUC.2018100104
Bareksa.com. (2021). Robo Advisor. https://www.bareksa.com/robo-advisor
Bhattacherjee, A. (2011). ECM IS Model. MIS Quarterly, 25(3), 351–370.
Bibit.com. (2022). Apa itu Robo Advisor. https://faq.bibit.id/id/article/apa-itu-robo-advisor-lop0vt/
Cheng, Y. M. (2021). Will robo-advisors continue? Roles of task-technology fit, network externalities, gratifications and flow experience in facilitating continuance intention. Kybernetes, 50(6), 1751–1783. https://doi.org/10.1108/K-03-2020-0185
Cheng, Y. M. (2023). How can robo-advisors retain end-users? Identifying the formation of an integrated post-adoption model. Journal of Enterprise Information Management, 36(1), 91–122. https://doi.org/10.1108/JEIM-07-2020-0277
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic press.
Davis, F. D. (1989a). User Acceptance of Computer Technology: A Comparison of Two Theoretical Model. User Acceptance of Computer Technology: A Comparison of Two Theoretical Model.
Davis, F. D. (1989b). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dewi, P. A. K. L., & Warmika, I. G. K. (2021). Peran E-Trust Dalam Memediasi Pengaruh Fitur Robo Advisor Terhadap Niat Menggunakan Aplikasi Bibit. Jurnal Sosial Dan Teknologi, 1(9), 1–29.
Febriyanti, M. (2022). Pengaruh E-trust, E-loyalty Dan E-service Quality Terhadap Fitur Robo Advisor Dalam Investasi Reksadana Saham Syariah Pada Aplikasi Bibit Dengan menggunakan Metode End User Computing Statisfaction Dalam Perspektif Ekonomi Islam (Study Pada Komunitas Inves. UIN Raden Intan Lampung.
Fu, X., Zhang, J., & Chan, F. T. S. (2018). Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transportation Research Part A: Policy and Practice, 113, 476–490. https://doi.org/https://doi.org/10.1016/j.tra.2018.05.012
Ghozali. (2017). Metodologi Penelitian: Metodologi penelitian Skripsi. Rake Sarasin, 2016, 33–44.
Grand View Research. (2020). Robo-Advisor Market Size, Share & Trends Analysis Report By Business Model (Direct, Hybrid), By Service Type, By Service Providers, By Region, And Segment Forecasts, 2020 – 2027. https://www.grandviewresearch.com/industry-analysis/robo-ad
Hair, J. F., Black, W. C., & Babin, B. J. (2010). Multivariate Data Analysis: A Global Perspective. Pearson Education. https://books.google.co.id/books?id=SLRPLgAACAAJ
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/10.1108/EBR-11-2018-0203
Hira, T., & Mugenda, O. (1998). Predictors Of Financial Satisfaction: Differences Between Retirees And Non-retirees. Financial Counseling and Planning, 9.
Huston, S. J. (2010). Measuring Financial Literacy. Journal of Consumer Affairs, 44(2), 296–316. https://doi.org/10.1111/j.1745-6606.2010.01170.x
Joo, S.-H., & Grable, J. (2004). An Exploratory Framework of the Determinants of Financial Satisfaction. Journal of Family and Economic Issues, 25, 25–50. https://doi.org/10.1023/B:JEEI.0000016722.37994.9f
Limayem, M., Hirt, S., & Cheung, C. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 31, 705–737. https://doi.org/10.2307/25148817
Lusardi, A., & Mitchell, O. S. (2007). Baby Boomer retirement security: The roles of planning, financial literacy, and housing wealth. Journal of Monetary Economics, 54(1), 205–224. https://doi.org/10.1016/j.jmoneco.2006.12.001
Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5
Mason, J. (2017). Qualitative researching. sage.
Morningstar. (2018). The Rise of Robo-Advisors: Changing the Concept of Wealth Management. https://www.morningstar.in/posts/49725/the-rise-of-robo-advisors-changing-the-concept-of-wealth-management.aspx
Muhson, A. (2022). Analisis Statistik Dengan SmartPLS. 1.
Nguyen, T. A. N. (2022). Does Financial Knowledge Matter in Using Fintech Services? Evidence from an Emerging Economy. Sustainability (Switzerland), 14(9). https://doi.org/10.3390/su14095083
Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics, 33(1), 34–47. https://doi.org/https://doi.org/10.1016/j.tele.2015.05.006
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469.
Otoritas Jasa Keuangan. (2021). Strategi Nasional Literasi Keuangan Indonesia (SNLKI) 2021 - 2025. Ojk.Go.Id, 1–130. https://www.ojk.go.id/id/berita-dan-kegiatan/publikasi/Pages/Strategi-Nasional-Literasi-Keuangan-Indonesia-2021-2025.aspx
Otoritas Jasa Keuangan Indonesia. (2021). YUK MENGENAL FINTECH! KEUANGAN DIGITAL YANG TENGAH NAIK DAUN. https://sikapiuangmu.ojk.go.id/FrontEnd/CMS/Article/10468
Owusu, G. M. Y. (2023). Predictors of financial satisfaction and its impact on psychological wellbeing of individuals. Journal of Humanities and Applied Social Sciences, 5(1), 59–76. https://doi.org/10.1108/jhass-05-2021-0101
Pearson, B., & Korankye, T. (2022). The association between financial literacy confidence and financial satisfaction. Review of Behavioral Finance, 1999. https://doi.org/10.1108/RBF-03-2022-0090
Rahab. (2015). Information Technology Continuance Model Dan. 21, 7903.
Remund, D. L. (2010). Financial literacy explicated: The case for a clearer definition in an increasingly complex economy. Journal of Consumer Affairs, 44(2), 276–295. https://doi.org/10.1111/j.1745-6606.2010.01169.x
Shiau, W. L., Yuan, Y., Pu, X., Ray, S., & Chen, C. C. (2020). Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories. Industrial Management and Data Systems, 120(9), 1659–1689. https://doi.org/10.1108/IMDS-02-2020-0069
Shiau, W., Yuan, Y., Departemen, C. C., Informasi, S., Negeri, U., & Utara, C. (2020). Memahami kelanjutan fintech : perspektif dari teori self- efficacy dan ECT-IS. 120(9). https://doi.org/10.1108/IMDS-02-Machine
Shuhaiber, A., Al-Omoush, K. S., & Alsmadi, A. A. (2023). Investigating trust and perceived value in cryptocurrencies: do optimism, FinTech literacy and perceived financial and security risks matter? Kybernetes, 2015. https://doi.org/10.1108/K-03-2023-0435
Siregar, L. Y., & Nasution, M. I. P. (2020). Perkembangan Teknologi Informasi Terhadap Peningkatan Bisnis Online. HIRARKI Jurnal Ilmiah Manajemen Dan Bisnis (HJIMB), 02(01), 71–75. http://journal.upp.ac.id/index.php/Hirarki%0APERKEMBANGAN
Statista. (2021). Assets under management in robo-advisory worldwide from 2016 to 2020 (in billion U.S. dollars). https://www.statista.com/statistics/640148/assets-under-management-in-robo-advisory-worldwide/
Statista. (2023a). Robo-Advisors- Malaysia. Https://Www.Statista.Com/Outlook/Dmo/Fintech/Digital-Investment/Robo-Advisors/Malaysia#Assets-Under-Management
Statista. (2023b). Robo-Advisors - Singapore. Https://Www.Statista.Com/Outlook/Dmo/Fintech/Digital-Investment/Robo-Advisors/Singapore
Statista. (2023). Robo-Advisors - Indonesia. https://www.statista.com/outlook/dmo/fintech/digital-investment/robo-advisors/indonesia
Sugiyono, D. (2013). Metode Penelitian Kuantitatif, Kualitatif, dan Tindakan.
Sumani, S., Awwaliyah, I. N., Suryaningsih, I. B., & Nurdin, D. (2022). Financial Behavior on Financial Satisfaction and Performance of the Indonesian Batik Industry. Jurnal Aplikasi Manajemen, 20(4). https://doi.org/10.21776/ub.jam.2022.020.04.06
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Wikipedia. (2021). Robo-advisor. https://id.wikipedia.org/wiki/Robo-advisor#:~:text=5 Catatan Kaki-,Sejarah,robo-advisors pun semakin meningkat.
Yuan, S., Liu, Y., Yao, R., & Liu, J. (2014). An investigation of users’ continuance intention towards mobile banking in China. Information Development, 32(1), 20–34. https://doi.org/10.1177/0266666914522140
Zhao, H., & Zhang, L. (2021). Financial literacy or investment experience: which is more influential in cryptocurrency investment? International Journal of Bank Marketing, 39(7), 1208–1226. https://doi.org/10.1108/IJBM-11-2020-055
DOI: https://doi.org/10.22146/abis.v12i2.96479
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