Embracing AI and IoT in Building Robust Financial Systems in Ghana: Empirical Tests Using Road Tollbooths and Tertiary Students Fee Payments

Authors

  • Jacob Azaare Department of Business Computing, School of Computing and Information Sciences, University of Technology and Applied Sciences, Navrongo, Ghana
  • Zhao Wu Department of Finance and Economics, School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China
  • Abubakari Abdul Rahman Department of Information Systems and Technology, School of Computing and Information Sciences, University of Technology and Applied Sciences, Navrongo, Ghana
  • Gilbert Amiisa Department of Information Systems and Technology, School of Computing and Information Sciences, University of Technology and Applied Sciences, Navrongo, Ghana

DOI:

https://doi.org/10.54536/ajfti.v4i1.7539

Keywords:

Artificial Intelligence, Internet of Things, Mobile Money, QR-codes, Tollbooths, Fintech

Abstract

This study examines how the Internet of Things (IoT) and artificial intelligence (AI) stimulates economic growth while guaranteeing convenience and accountability in shaping the financial industry. In a mixed methods approach, we concentrate on driver’s road tolls and student’s college/university fees payments amid exponential growth in mobile money with a sample of 786 and 688 respectively. This study found that majority of Ghana’s public universities/colleges collect fees through the manual bank payment method where students queue in banking halls to pay their fees. Moreover, this study reveals that the government of Ghana canceled the manual tollbooths to reduce road traffic. However, our analysis shows drivers’ readiness to support government in revenue generation for good roads infrastructure through efficient and digitized payment systems. This study therefore proposes efficient payments processing through AI with effective connectivity through IoT to ensure robust financial systems in Ghana to fuel economic growth. 

References

Abubakari, A. R., Agbedemnab, P. A., & Azaare, J. (2023). An automated fire detection and reporting system based on AI and IoT technologies. International Journal of Scientific Research and Engineering Trends, 9(5), 1411-1416. https://doi.org/10.61137/ijsret.vol.9.issue5.102

Ahinsah-Wobil, I. (2022). Ghana’s Road Toll and E-Levy: The consideration for a Good IMF Deal. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4171809

Akhtar, M., Salman, A., Ghafoor, K. A., & Kamran, M. (2024). Artificial intelligence, financial services knowledge, government support, and user innovativeness: Exploring the moderated-mediated path to fintech adoption. Heliyon, 10(21).

Alonge, E. O., Eyo-Udo, N. L., Chibunna, B., Ubanadu, A. I. D., Balogun, E. D., & Ogunsola, K. O. (2021). Digital transformation in retail banking to enhance customer experience and profitability. Iconic Research and Engineering Journals, 4(9).

Ampaw, E.M., Nte-Adik, N.M., Azaare, J., Adu-Sackey, A., Essah, B.O., Amuzu, G. (2022). Embracing mobile financial inclusion in the wake of COVID-19 pandemic: The mediating role of cognitive and affective-based trust embeddedness. Int. J. Technol. Manag. Res. 2022, 7, 1–22

BaFin. (2018). Big Data Meets Artificial Intelligence: Challenges and Implications for the Supervision and Regulation of Financial services. https://www.bafin.de/SharedDocs/Downloads/EN/dl_bdai_studie_en.html

Bank of Ghana. (2025). Payment Systems Oversight Annual Report 2024. Bank of Ghana.

Bisht, D., Singh, R., Gehlot, A., Akram, S. V., Singh, A., Montero, E. C., Priyadarshi, N., & Twala, B. (2022). Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective. Electronics (Switzerland), 11(19). https://doi.org/10.3390/electronics11193252

Bukht, R., & Heeks, R. (2018). Digital Economy Policy in Developing Countries. https://doi.org/10.13140/RG.2.2.24272.15364

Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. (2019). Technological Forecasting and Social Change, 146, 931–944. https://doi.org/10.1016/j.techfore.2018.09.018

Cheryl, B. K., & Ng, B. K. (2022). Protecting the Unprotected Consumer Data in Internet of Things: Current Scenario of Data Governance in Malaysia. Sustainability (Switzerland), 14(16). https://doi.org/10.3390/su14169893

Cook, S., & Rani, U. (2023). Platform work in developing economies: Can digitalisation drive structural transformation? (SCIS Working Paper No. 63). Southern Centre for Inequality Studies, University of the Witwatersrand. https://www.wits.ac.za/scis/research-projects/digital-technologies-the-future-of-workers-and-inequality/

De Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931–944. https://doi.org/10.1016/j.techfore.2018.09.018

Edquist, S. (2021). Ecological interactions of the trematode parasite Zoogonus rubellus and its first and second intermediate hosts [Master’s thesis, University of New Hampshire].

Ganai, K. A., Pandow, B. A., & Masoodi, F. S. (2024). IoT-enabled financial inclusion: Challenges, opportunities, and policy implications. In Internet of Things applications and technology (pp. 126–145).

García, M. (2016). The impact of IoT on economic growth: A multifactor productivity approach. In Proceedings of the 2015 International Conference on Computational Science and Computational Intelligence (CSCI 2015) (pp. 855–856). IEEE. https://doi.org/10.1109/CSCI.2015.134

Garcia-Segura, L. A. (2024). The role of artificial intelligence in preventing corporate crime. Journal of Economic Criminology, 5, Article 100091.

Gartner. (2023). Top strategic technology trends. Gartner Research.

Gordon, N. M. (1990). Report of the Committee on the Status of Women in the Economics Profession. The American Economic Review, 80(2),486–489. http://www.jstor.org/stable/2006629

Graphic Online. (2023). The Ghana banking industry report 2023: An annual performance review. Graphic Online.

Griliches, Z. (1969). Errata: The Explanation of Productivity Change. The Review of Economic Studies, 36(3). https://doi.org/10.2307/2296436

GSMA. (2018). The mobile economy 2018. GSMA Intelligence. https://shorturl.at/I6N5R

Khan, F., Xu, Z., Sun, J., Khan, F. M., Ahmed, A., & Zhao, Y. (2022). Recent advances in sensors for fire detection. Sensors, 22(9), Article 3310. https://doi.org/10.3390/s22093310

Khanboubi, F., Boulmakoul, A., & Tabaa, M. (2019). Impact of digital trends using IoT on banking processes. Procedia Computer Science, 151, 77–84. https://doi.org/10.1016/j.procs.2019.04.014

Lampropoulos, L., Hicks, M., & Pierce, B. C. (2019). Coverage guided, property based testing. Proceedings of the ACM on Programming Languages, 3(OOPSLA), 1–29.

Landes, D. S. (1990). Why are we so rich and they so poor? The American Economic Review, 80(2), 1–13. http://www.jstor.org/stable/2006534

Lau, T., & Leimer, B. (2018). The era of connectedness: How AI will help deliver the future of banking. Journal of Digital Banking, 3(3), 215–231.

Lazović, V. (2014). Prospects of developing countries in digital economy: Case study of Montenegro.

Mhlanga, D. (2020). Industry 4.0 in finance: the impact of artificial intelligence (ai) on digital financial inclusion. International Journal of Financial Studies, 8(3),1–14. https://doi.org/10.3390/ijfs8030045

McKinsey & Company. (2022). The value of IoT in financial services. McKinsey Global.

Naaz, S., Parveen, S., & Ahmed, J. (2021, March). An artificial intelligence based toll collection system. In Proc. 2nd Int. Conf. ICT Digit., Smart, Sustain. Develop.(ICIDSSD), February, Jamia Hamdard, New Delhi, India

Nguyen, O. (2023). Digital Economy and Its Components: A Brief Overview and Recommendations.

Olofin, O. P. (2023). Digital Economy, Institutional Quality and Economic Growth in Selected Countries. CBN Journal of Applied Statistics, 14(1), 25–46. https://doi.org/10.33429/Cjas.14123.2/5

Oumaima, J., & Lamari, S. (2024). Customer Experience in the Digital Transformation Era: Insights on Personalization, Digital Marketing, and Customer Relationship Management. International Journal of Economics, Management and Finance (IJEMF), 3(2), 52-69.

Parise, S., Guinan, P. J., & Kafka, R. (2016). Solving the crisis of immediacy: How digital technology can transform the customer experience. Business horizons, 59(4), 411-420.

Payne, E. H. M., & O’Brien, C. A. (2024). The search for AI value: The role of complexity in human-AI engagement in the financial industry. Computers in Human Behavior: Artificial Humans, 2(1), 100050.

Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review, 93(10), 96–114.

Quadri, C., Zignani, M., Capra, L., Gaito, S., & Rossi, G. P. (2014). Multidimensional human dynamics in mobile phone communications. PloS one, 9(7), e103183.

Qi, Y., Sun, Y., Zhang, Z., Shi, Y., & Liu, L. (2023). The digital economy—Technologies, trends, and influences. Personal and Ubiquitous Computing, 27(4), 1521–1523. https://doi.org/10.1007/s00779-023-01734-z

Sasu, D. D. (2023). Banking industry in Ghana—Statistics & facts. Statista. https://www.statista.com/topics/10469/banking-industry-in-ghana/#topicOverview

Schulte, P., & Liu, G. (2018). Fintech is merging with iot and AI to challenge banks: How entrenched interests can prepare. Journal of Alternative Investments, 20(3), 41–57. https://doi.org/10.3905/jai.2018.20.3.041

Semyachkov, K. A. (2019). Digital economy in developing countries: Problems and prospects.

Soldatos, J. (n.d.). Big data and artificial intelligence in digital finance.

Siddiqui, M. K., & Goyal, K. K. (2023). A study of the use of e-payment systems based on artificial intelligence. In Artificial Intelligence and Communication Technologies (pp. 1063–1076). Soft Computing Research Society.

Singh, P. J. (2018). Digital industrialisation in developing countries. Commonwealth Secretariat.

Singh, N., Jain, N., & Jain, S. (2025). AI and IoT in digital payments: Enhancing security and efficiency with smart devices and intelligent fraud detection. International Research Journal of Modernization in Engineering Technology and Science, 6(12), 982–991.

Solow, R. (1987). We’d better watch out. New York Times Book Review, 1987. http://ci.nii.ac.jp/naid/10007455402/

Sutjarittham, T., Gharakheili, H. H., Kanhere, S. S., & Sivaraman, V. (2019). Experiences with IoT and AI in a smart campus for optimizing classroom usage. IEEE Internet of Things Journal, 6(5), 7595-7607.

Talpur, C., Kalwar, F., Akbar, T., Bhacho, I. A., Soomro, N. Q., & Memon, M. (2025). Automatic Detection of Toll Tax-exempted Vehicles Using Machine Learning Techniques. Journal of Computing & Biomedical Informatics, 9(01).

TBop, B. (2024). Banking on AI from the age of AI. In The “new” digital economy and development: UNCTAD technical notes on ICT for development (No. 8). United Nations Conference on Trade and Development (UNCTAD).

Viswanathan, P. S. (2025). Artificial intelligence in financial services: A comprehensive analysis of transformative technologies and their impact on modern banking. International Journal of Research in Computer Applications and Information Technology (IJRCAIT), 8(1).

Voulgaridis, K., Lagkas, T., Angelopoulos, C. M., & Nikoletseas, S. E. (2022). IoT and digital circular economy: Principles, applications, and challenges. In Computer Networks (Vol. 219). Elsevier B.V. https://doi.org/10.1016/j.comnet.2022.10945

Wangenheim, F. (2014). High Tech and High Touch. January. https://doi.org/10.1177/1094670512448413

Yalli, J. S., Hasan, M. H., & Badawi, A. A. (2024). Internet of Things (IoT): origins, embedded technologies, smart applications, and its growth in the last decade. IEEE access, 12, 91357-91382.

Zakaria, S., Manaf, S. M. A., Amron, M. T., & Suffian, M. T. M. (2023). Has the world of finance changed? A review of the influence of artificial intelligence on financial management studies. Information Management and Business Review, 15(4), 420-432.

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Published

2026-07-30

How to Cite

Azaare, J. ., Wu, Z., Rahman, A. A. ., & Amiisa, G. . (2026). Embracing AI and IoT in Building Robust Financial Systems in Ghana: Empirical Tests Using Road Tollbooths and Tertiary Students Fee Payments. American Journal of Financial Technology and Innovation, 4(1), 138-147. https://doi.org/10.54536/ajfti.v4i1.7539

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