Policy Shock and Fintech Adoption: Extending UTAUT2 with Policy Trust to Explain SME Mobile Money Usage Post E-Levy Repeal in Ghana
DOI:
https://doi.org/10.65792/jombinov.v2i3.53Keywords:
UTAUT2,, Policy Trust,, Mobile Money,, E-Levy,, MSME,, PLS-SEM,, GhanaAbstract
This study set out to extend UTAUT2 through the construct of policy trust, examining how it shapes behavioral intention and use behavior around mobile money among Ghanaian MSMEs after the E-Levy's repeal. Policy trust was tested in two roles—as a direct predictor and as a moderator. The study followed a quantitative explanatory approach, running a cross-sectional survey with 400 MSMEs across Accra, Kumasi, and Sekondi-Takoradi through purposive sampling. Analysis relied on PLS-SEM in SmartPLS 4.0, covering the measurement model, structural model, and a two-stage moderation test. As many as 11 out of 12 hypotheses were supported. Performance expectancy, effort expectancy, hedonic motivation, price value, and habit significantly influence behavioral intention, while social influence does not. Facilitating conditions and habit influence use behavior, with behavioral intention as the strongest predictor. Policy trust significantly affects behavioral intention and also moderates two main relationships. The model explains 61.2% of behavioral intention and 68.7% of use behavior. This study introduces policy trust as an extension of UTAUT2, built on an integration with policy feedback theory. Policy trust proved significant for usage intention, and it also moderated two key relationships—price value to behavioral intention, and facilitating conditions to use behavior. UTAUT2 gains an institutional dimension it previously lacked. Several recommendations follow from these findings. Bank of Ghana and the Ghana Revenue Authority should strengthen policy communication. Mobile money providers need to pair infrastructure investment with cost certainty. And Fintech Growth Fund administrators would benefit from factoring policy trust into how they segment beneficiaries. This study has its constraints—a cross-sectional design, self-report data, a sample limited to urban areas, and a policy trust construct still awaiting broader validation. Future work could take a longitudinal approach, extend the analysis across countries, and draw on actual transaction data rather than survey responses alone.
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References
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet banking: A cross-cultural study of Jordan and the United Kingdom. Technology in Society, 55, 100–110. https://doi.org/10.1016/j.techsoc.2018.06.007
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Baah-Peprah, P., Nyarko, S., Flåten, B., Naatu, F., & Serwaah, P. (2024). Trust in government, electronic taxation, and the adoption of fintech. Journal of Alternative Finance, 1(3), 213–235. https://doi.org/10.1177/27533743241286156
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.
Dodoo, R. N. A., Xin, F., Mangudhla, T., Boadi, E. B., Dimen, L., & Nuta, A. C. (2025). The paradox of mobile money adoption among Ghana's petty traders: A two-stage PLS-SEM-ANN approach. SAGE Open, 15(4). https://doi.org/10.1177/21582440251378112
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
Krah, R., Tetteh, L. A., Boateng, A., & Amankwa, R. F. (2024). Financial technology adoption among small and medium enterprises in Ghana. Cogent Business & Management, 11(1), Article 2321786. https://doi.org/10.1080/23311975.2024.2321786
Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2018). Acceptance and use of mobile banking: An application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118–151. https://doi.org/10.1108/JEIM-03-2018-0055
Levi, M., & Stoker, L. (2000). Political trust and trustworthiness. Annual Review of Political Science, 3, 475–507. https://doi.org/10.1146/annurev.polisci.3.1.475
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.2307/258792
Mensah, I. K., Mwakapesa, D. S., Mensah, P. A., & Mensah, J. K. (2022). The impact of government electronic transaction levy on the continuous adoption of mobile money transactions in Ghana. Proceedings of the 4th Africa-Asia Dialogue Network (AADN) International Conference on Advances in Business Management and Electronic Commerce Research. ACM. https://doi.org/10.1145/3572996.3573001
Penney, E. K., Agyei, J., Boadi, E. K., Abrokwah, E., & Ofori-Boafo, R. (2021). Understanding factors that influence consumer intention to use mobile money services: An application of UTAUT2 with perceived risk and trust. SAGE Open, 11(3). https://doi.org/10.1177/21582440211023188
Pierson, P. (1993). When effect becomes cause: Policy feedback and political change. World Politics, 45(4), 595–628. https://doi.org/10.2307/2950710
Takyi, P. O. (2024). The impact of electronic levy on mobile money transactions: Lessons from Ghana. Policy Studies, 46(2), 271–287. https://doi.org/10.1080/01442872.2024.2303348
Tian, Y., & Chan, T. J. (2024). Predictors of mobile payment use applications from the extended technology acceptance model: Does self-efficacy and trust matter? SAGE Open, 14(4). https://doi.org/10.1177/21582440241292525
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
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