Examining User Satisfaction and Continuous Usage Intention of Digital Financial Advisory Platforms

Athapol Ruangkanjanases, Taqwa Hariguna

Abstract


This study investigates the factors influencing user satisfaction (US) and continuous intention (CI) to use digital financial advisory platforms in Indonesia, focusing on perceived ease of use (PEU), perceived enjoyment (PE), and service quality (SQ). Data from 413 respondents were collected through an online survey and analyzed using structural equation modeling (SEM) with SmartPLS. Results revealed that PEU significantly influences PE (β = 0.923, t-value = 88.677, p < 0.001) and CI (β = 0.471, t-value = 13.950, p < 0.001), demonstrating the critical role of usability in enhancing user engagement. PE positively affects US (β = 0.211, t-value = 7.248, p < 0.001), while SQ strongly predicts US (β = 0.773, t-value = 29.423, p < 0.001). The strong impact of the US on CI (β = 0.518, t-value = 15.117, p < 0.001) highlights satisfaction’s importance for user retention. R-squared values of 0.851 for PE, 0.876 for US, and 0.878 for CI indicate substantial explanatory power. This study extends the Technology Acceptance Model (TAM) by integrating enjoyment and SQ, offering a comprehensive framework for understanding user behavior in digital finance. Findings underscore the need for user-friendly design, engaging features, and high service standards to enhance satisfaction and retention.

 

Doi: 10.28991/HIJ-2025-06-01-015

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Keywords


Continuous Usage Intention; Digital Financial Advisory; Perceived Ease of Use; Perceived Enjoyment; Service Quality.

References


Hariguna, T., & Chen, S. C. (2024). Customer Segmentation and Targeted Retail Pricing in Digital Advertising using Gaussian Mixture Models for Maximizing Gross Income. Journal of Digital Market and Digital Currency, 1(2), 183–203. doi:10.47738/jdmdc.v1i2.11.

Pratama, S. F., & Sugianto, D. (2024). Temporal Patterns in User Conversions: Investigating the Impact of Ad Scheduling in Digital Marketing. Journal of Digital Market and Digital Currency, 1(2), 165-182. doi:10.47738/jdmdc.v1i2.10.

Hoe, J. K. (2023). Adoption of Robo-Advisory Service in the Personal Financial Planning Industry in Australia (pp. 632–638). doi:10.2991/978-94-6463-142-5_70.

Mrkývka, P., & Šiková, Z. (2023). Robo-advisory as a driving force of the financial market in the light of digitalization? WSB Journal of Business and Finance, 57(1), 66–77. doi:10.2478/wsbjbf-2023-0008.

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. doi:10.1111/joca.12510.

Yi, T. Z., Rom, N. A. M., Hassan, N. M., Samsurijan, M. S., & Ebekozien, A. (2023). The Adoption of Robo-Advisory among Millennials in the 21st Century: Trust, Usability and Knowledge Perception. Sustainability (Switzerland), 15(7), 6016. doi:10.3390/su15076016.

Ekpo, A. E., Drenten, J., Albinsson, P. A., Anong, S., Appau, S., Chatterjee, L., Dadzie, C. A., Echelbarger, M., Muldrow, A., Ross, S. M., Santana, S., & Weinberger, M. F. (2022). The platformed money ecosystem: Digital financial platforms, datafication, and reimagining financial well-being. Journal of Consumer Affairs, 56(3), 1062–1078. doi:10.1111/joca.12458.

Olanipekun Hassan, A., Onunka, T., Abitoye, O., Oriji, O., & Daraojimba, C. (2023). Digital Financial Literacy Platforms and Their Impact on Nigerian Secondary School Students’ Transition to University: a Review. Business, Organizations and Society, 1(2), 74–81. doi:10.26480/bosoc.02.2023.74.81.

Faradynawati, I. A. A., & Söderberg, I. L. (2022). Sustainable Investment Preferences among Robo-Advisor Clients. Sustainability (Switzerland), 14(19), 12636. doi:10.3390/su141912636.

Saputra, J. P. B., & Yadav, S. (2024). Modeling the Impact of Holidays and Events on Retail Demand Forecasting in Online Marketing Campaigns using Intervention Analysis. Journal of Digital Market and Digital Currency, 1(2), 144-164. doi:10.47738/jdmdc.v1i2.9.

Anshari, M., Almunawar, M. N., & Masri, M. (2022). Digital Twin: Financial Technology’s Next Frontier of Robo-Advisor. Journal of Risk and Financial Management, 15(4), 163. doi:10.3390/jrfm15040163.

Thaddeus, K., Ngong, C., & Manasseh, C. (2020). Digital financial inclusion and economic growth: evidence from Sub-Saharan Africa (2011–2017). International Journal of Business and Management, 8(4), 212-217. doi:10.24940/theijbm/2020/v8/i4/bm2004-051.

Jimoh, L., & David, O. O. (2024). State-Dependency in the Nexus between Digital Financial Inclusion and Economic Growth in Sub-Saharan Africa. International Journal of Professional Business Review, 9(6), e04675. doi:10.26668/businessreview/2024.v9i6.4675.

Otuma O. Andako. (2023). Navigating the path to economic empowerment: overcoming challenges in digital platforms for economic empowerment. World Journal of Advanced Research and Reviews, 20(3), 1503–1521. doi:10.30574/wjarr.2023.20.3.1450.

Hayadi, B. H., & El Emary, I. M. (2024). Enhancing Security and Efficiency in Decentralized Smart Applications through Blockchain Machine Learning Integration. Journal of Current Research in Blockchain, 1(2), 139-154. doi:10.47738/jcrb.v1i2.16.

Siddique, Q. (2024). Anomaly Detection in Blockchain Transactions within the Metaverse Using Anomaly Detection Techniques. Journal of Current Research in Blockchain, 1(2), 155-165. doi:10.47738/jcrb.v1i2.17.

Al-Geitany, S., Aljuhmani, H. Y., Emeagwali, O. L., & Nasr, E. (2023). Consumer Behavior in the Post-COVID-19 Era: The Impact of Perceived Interactivity on Behavioral Intention in the Context of Virtual Conferences. Sustainability (Switzerland), 15(11). doi:10.3390/su15118600.

Zhu, H., Vigren, O., & Söderberg, I. L. (2024). Implementing artificial intelligence empowered financial advisory services: A literature review and critical research agenda. Journal of Business Research, 174, 114494. doi:10.1016/j.jbusres.2023.114494.

Tiberius, V., Gojowy, R., & Dabić, M. (2022). Forecasting the future of robo advisory: A three-stage Delphi study on economic, technological, and societal implications. Technological Forecasting and Social Change, 182, 121824. doi:10.1016/j.techfore.2022.121824.

Ashrafi, D. M. (2023). Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: a Moderated Mediation Model. Journal of Indonesian Economy and Business, 38(3), 270–301. doi:10.22146/jieb.v38i3.6242.

Adamba, F. L. (2024). Effect of Digital Banking Technology on Loan Uptake in Hotels Industry in Kenya. African Journal of Commercial Studies, 4(2), 166–177. doi:10.59413/ajocs/v4.i2.9.

Huy, N. Q., Nga, L. P., & Tam, P. T. (2023). Applied Regression Modeling to Recommend Microfinance Development Policies. Journal of Applied Data Sciences, 4(4), 333–345. doi:10.47738/jads.v4i4.139.

Wahyuningsih, T., & Chen, S. C. (2024). Determinants of Virtual Property Prices in Decentraland an Empirical Analysis of Market Dynamics and Cryptocurrency Influence. International Journal Research on Metaverse, 1(2), 157-171. doi:10.47738/ijrm.v1i2.12.

Yadulla, A. R., Maturi, M. H., Meduri, K., & Nadella, G. S. (2024). Sales Trends and Price Determinants in the Virtual Property Market: Insights from Blockchain-Based Platforms. International Journal Research on Metaverse, 1(2), 113-126. doi:10.47738/ijrm.v1i2.9.

Sukmana, H. T., & Kim, J. I. (2024). Exploring the impact of virtual reality experiences on tourist behavior and perceptions. International Journal Research on Metaverse, 1(2), 94-112. doi:10.47738/ijrm.v1i2.8.

He, J., & Tresirichod, T. (2024). The Mediating Role of Psychological Ownership and Job Satisfaction in Human Resource Management Practices and Employee Loyalty: A Case Study of Sichuan University of Technology. Journal of Applied Data Sciences, 5(3), 849–863. doi:10.47738/jads.v5i3.266.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. doi:10.2307/249008.

Berlilana, Wahid, A. M., Fortuna, D., Saputra, A. N. A., & Bagaskoro, G. (2024). Exploring the Impact of Discount Strategies on Consumer Ratings: An Analytical Study of Amazon Product Reviews. Journal of Applied Data Sciences, 5(1), 158–172. doi:10.47738/jads.v5i1.163.

Patnaik, A., Kudal, P., Dawar, S., Inamdar, V., & Dawar, P. (2023). Exploring User Acceptance of Digital Payments in India: An Empirical Study Using an Extended Technology Acceptance Model in the Fintech Landscape. International Journal of Sustainable Development and Planning, 18(8), 2587–2597. doi:10.18280/ijsdp.180831.

Hu, S. (2024). A Conceptual Development of Digital Trade Adoption among Manufacturing Companies in China: A Technology Acceptance Model Approach. Journal of Digitainability, Realism & Mastery (DREAM), 3(02), 76–80. doi:10.56982/dream.v3i02.213.

Perwitasari, A. W. (2022). The Effect of Perceived Usefulness and Perceived Easiness towards Behavioral Intention to Use Fintech by Indonesian MSMEs. The Winners, 23(1), 1–9. doi:10.21512/tw.v23i1.7078.

Wibella, N., Fahmi, I., & Saptono, I. T. (2018). Factors Affecting Consumer Acceptance of Digital Financial Inclusion; An Anecdotal Evidence from Bogor City. Independent Journal of Management & Production, 9(4), 1338–1353. doi:10.14807/ijmp.v9i4.824.

Anggrayani, L. P. S., & Suprapti, S. (2019). E-Trust integration with technology acceptance model (TAM) in adoption of digital financial services (ecash). European Journal of Business and Management, 8(11), 71-77. doi:10.7176/ejbm/11-8-09.

Santi, E. A., Gorghiu, G., & Pribeanu, C. (2020). Exploring the main factors driving a satisfactory use of the Moodle platform. RoCHI, 153-156. doi:10.37789/rochi.2020.1.1.23.

Obeid, A., Ibrahim, R., & Fadhil, A. (2024). Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms. IEEE Access, 12, 40752–40764. doi:10.1109/ACCESS.2024.3373190.

Pantouw, R. T., & Aruan, D. T. H. (2019). Influence of Game Design and Playability toward Continuance Intention Using TAM Framework. IPTEK Journal of Proceedings Series, 5, 307. doi:10.12962/j23546026.y2019i5.6344.

Nguyen, T. T., Thi Thu Truong, H., & Le-Anh, T. (2023). Online Purchase Intention under the Integration of Theory of Planned Behavior and Technology Acceptance Model. SAGE Open, 13(4), 21582440231218814. doi:10.1177/21582440231218814.

Kurniasari, F. (2021). The Factors Affecting the Adoption of Digital Payment Services Using Trust As Mediating Variable. Emerging Markets: Business and Management Studies Journal, 8(1), 15–24. doi:10.33555/embm.v8i1.165.

Binowo, K., Setiawan, A. N., Tallisha, R. P., Azzahra, S., Sutanto, Y. E., Hidayanto, A. N., & Rahmatullah, B. (2024). Analysis of Factors Affecting User Inclination to use Virtual Education Exhibitions in the Post Pandemic Covid-19 Era: Case Study in Indonesia. Electronic Journal of E-Learning, 22(3 Special Issue), 12–38. doi:10.34190/ejel.21.4.2993.

Amelia, E., Hurriyati, R., Rahayu, A., Wibowo, L. A., Widjajanta, B., & Christianingrum, C. (2024). Perceived Enjoyment and Perceived Usefulness to Mobile Payment Users Continuance Intention. Proceedings of the 8th Global Conference on Business, Management, and Entrepreneurship (GCBME 2023), 288, 522–530. Atlantis Press International BV. doi:10.2991/978-94-6463-443-3_68.

Lee, Y. Y., Gan, C. L., & Liew, T. W. (2023). Do E-wallets trigger impulse purchases? An analysis of Malaysian Gen-Y and Gen-Z consumers. Journal of Marketing Analytics, 11(2), 244–261. doi:10.1057/s41270-022-00164-9.

Chen, Y., Li, D., & Zhao, Z. (2020, April). Research on product recommendation and consumer impulsive purchase under social commerce platform—based on S-0-R model. 5th International Conference on Social Sciences and Economic Development (ICSSED 2020), 215-223. doi:10.2991/assehr.k.200331.048.

Ibrahim, M. A., Mohd Ruslan, R. A., Abdullah, M. F., & Ahmad, A. H. (2023). Navigating the Future: Exploring the Nexus between Robo-Advisor Service Quality and Customer Satisfaction. Information Management and Business Review, 15(3(SI)), 351–358. doi:10.22610/imbr.v15i3(si).3491.

Egala, S.B., Boateng, D., & Aboagye Mensah, S. (2021). To leave or retain? An interplay between quality digital banking services and customer satisfaction. International Journal of Bank Marketing, 39(7), 1420–1445. doi:10.1108/IJBM-02-2021-0072.

Mainardes, E. W., & Freitas, N. P. de. (2023). The effects of perceived value dimensions on customer satisfaction and loyalty: a comparison between traditional banks and fintechs. International Journal of Bank Marketing, 41(3), 641–662. doi:10.1108/IJBM-10-2022-0437.

Piotrowski, D., & Orzeszko, W. (2023). Artificial intelligence and customers’ intention to use robo-advisory in banking services. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 967–1007. doi:10.24136/eq.2023.031.

Bai, Z. (2024). Examining the association between robo-advisory and perceived financial satisfaction. Review of Behavioral Finance, 16(4), 668–681. doi:10.1108/RBF-10-2023-0268.

Sharma, V., Jangir, K., Gupta, M., & Rupeika-Apoga, R. (2024). Does service quality matter in FinTech payment services? An integrated SERVQUAL and TAM approach. International Journal of Information Management Data Insights, 4(2), 100252. doi:10.1016/j.jjimei.2024.100252.

Abrantes, D., Teles, S., De Sousa, R. T., Freitas, A., Vieira-Marques, P., & Ferreira, A. (2021). A multipurpose platform for ambient assisted living (ActiveAdvice): Usability study. JMIR Aging, 4(1), 18164. doi:10.2196/18164.

Mainardes, E. W., Costa, P. M. F., & Nossa, S. N. (2023). Customers’ satisfaction with fintech services: evidence from Brazil. Journal of Financial Services Marketing, 28(2), 378–395. doi:10.1057/s41264-022-00156-x.

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly: Management Information Systems, 25(3), 351–370. doi:10.2307/3250921.

Kang, W., Shao, B., & Chen, H. (2024). What influences users’ continuance intention of internet wealth management services? A perspective from network externalities and herding. Electronic Commerce Research, 24(1), 205–238. doi:10.1007/s10660-022-09580-6.

Kanapathipillai, K., Shari, A. N. Bin, Ajmain, M. F. B. M., & Rahman, N. S. B. A. (2023). Navigating the Digital Shift: How Acceptance Factors Shape Malaysia’S Banking Evolution. European Journal of Management and Marketing Studies, 8(3), 1547. doi:10.46827/ejmms.v8i3.1547.

Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 695-704. doi:10.2307/25148660.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41. doi:10.2307/1251430.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. doi:10.1177/002224378001700405.

Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi:10.1287/mnsc.46.2.186.11926.


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DOI: 10.28991/HIJ-2025-06-01-015

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