The Role Of Digital Service Quality and Perceived Ease Of Use in The Adoption of Digital Wealth Management Among Millennial Farmers
DOI:
https://doi.org/10.35791/jat.v7i1.66548Keywords:
adoption intention, digital wealth management, digital service quality, millennial farmers, PLS-SEMAbstract
This study examines the roles of digital service quality and perceived ease of use in shaping adoption intention toward digital wealth management among millennial farmers. Drawing on a service marketing perspective and technology acceptance logic, the study also positions trust as a key mechanism that links service perceptions to adoption intention. A structured questionnaire was administered to 236 millennial farmers (aged 20–39), and the proposed model was analyzed using partial least squares structural equation modeling (PLS-SEM) with bootstrapping. The descriptive results indicate that perceived ease of use is generally high, reflecting respondents’ familiarity with smartphones, while perceptions of service quality and trust vary more substantially. The structural model shows that digital service quality strongly predicts trust (β = 0.991, p < 0.001) and that trust strongly predicts adoption intention (β = 0.810, p < 0.001). Digital service quality also has a small but significant direct effect on intention (β = 0.183, p = 0.012), indicating partial mediation. The indirect effect of digital service quality on intention through trust is large and significant (β = 0.803, p < 0.001), confirming that trust transmits most of the impact of service quality. Perceived ease of use shows statistically significant but small effects on trust and intention, suggesting usability functions primarily as a baseline enabler for digitally capable millennials. The model explains substantial variance in trust (R² = 0.979) and intention (R² = 0.981). Discriminant validity diagnostics indicate strong overlap among service quality, trust, and intention, suggesting that respondents may form a holistic evaluation of the platform; this limitation should be addressed through construct refinement in future research. Practically, the findings imply that increasing digital wealth management adoption in agricultural communities should prioritize trust-building service quality cues, including reliability, transparency, security assurance, and responsive support.
References
Appiah, T., & Agblewornu, V. V. (2025). The interplay of perceived benefit, perceived risk, and trust in Fintech adoption: Insights from Sub-Saharan Africa. Heliyon, 11(2), e41992. https://doi.org/https://doi.org/10.1016/j.heliyon.2025.e41992
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745–783. https://doi.org/10.1007/s10490-023-09871-y
Durak, İ., Çi̇se, S. N., & Yazıcı, S. (2024). Developing a financial technology (FinTech) adoption scale: A validity and reliability study. Research in International Business and Finance, 70, 102344. https://doi.org/https://doi.org/10.1016/j.ribaf.2024.102344
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/https://doi.org/10.1016/j.rmal.2022.100027
Kock, F., Berbekova, A., & Assaf, A. (2021). Understanding and managing the threat of common method bias: Detection, prevention and control. Tourism Management, 86, 104330. https://doi.org/10.1016/j.tourman.2021.104330
Li, H., Wei, X., & Chen, W. (2025). Digital financial inclusion’s impact on farmers’ income and spatial spillover effects: Evidence from inner Mongolia, China. Heliyon, 11(3), e42155. https://doi.org/https://doi.org/10.1016/j.heliyon.2025.e42155
Merkle, A. C. (2025). Item level correction: detecting, removing, and reporting common methods variance. Journal of Marketing Analytics, 13(2), 405–423. https://doi.org/10.1057/s41270-025-00399-2
Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2 - An improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management & Data Systems, 121, 2637–2650. https://doi.org/10.1108/IMDS-02-2021-0082
Sarstedt, M., Hair, J., Pick, M., Liengaard, B., Radomir, L., & Ringle, C. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39, 1035–1064. https://doi.org/10.1002/mar.21640
Seiler, V., & Fanenbruck, K. M. (2021). Acceptance of digital investment solutions: The case of robo advisory in Germany. Research in International Business and Finance, 58, 101490. https://doi.org/https://doi.org/10.1016/j.ribaf.2021.101490
Sharma, A., Mohan, A., Johri, A., & Asif, M. (2024). Determinants of fintech adoption in agrarian economy: Study of UTAUT extension model in reference to developing economies. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100273. https://doi.org/https://doi.org/10.1016/j.joitmc.2024.100273
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. https://doi.org/https://doi.org/10.1016/j.jjimei.2024.100252
Vaithilingam, S., Ong, C. S., Moisescu, O. I., & Nair, M. S. (2024). Robustness checks in PLS-SEM: A review of recent practices and recommendations for future applications in business research. Journal of Business Research, 173, 114465. https://doi.org/https://doi.org/10.1016/j.jbusres.2023.114465
Zhou, Q., Lim, F. J., Yu, H., Xu, G., Ren, X., Liu, D., Wang, X., Mai, X., & Xu, H. (2021). A study on factors affecting service quality and loyalty intention in mobile banking. Journal of Retailing and Consumer Services, 60, 102424. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102424
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Copyright (c) 2025 Cyndrika Rany Philipus, Ricardo Gianluigi Tindi, Sanriomi Sintaro

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.







