Abstract :

This Study investigates the behavioural intention to use mobile money services in the Gambia: Case study of Wave. A Qualitative explanatory approach was employed, with data collected through distribution to 120 respondents. The SmartPLS 4’s Partial Least Squares–Structural Equation Modeling (PLS-SEM) was used for the analysis.. The study is based on the Technology Acceptance Model (TAM), which was first presented by Davis and colleagues in 1989.It is a theoretical framework that builds upon the Theory of Reasoned Action (TRA). TRA suggests that an individual‟s response or perception of something can influence their behaviour. The findings indicate that perceived usefulness, perceived ease of use, and perceived trust have a significant influence on intention to use mobile money services. These results suggest that to enhance user adoption and satisfaction, Wave Mobile Money should maintain its simple app design and onboarding process, focusing on user-centred design to reduce effort and improve usability.

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Keywords :

Behavioral Intention to, Mobile money, perceived ease of use, perceived trust, perceived usefulness, Wave.

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References :

1. Amani, D. (2022). Internal branding and students‟ behavioural intention to become active member of university alumni   associations : the role of students‟ sense of belonging in Tanzania internal branding and students‟ behavioural intention to become active member of universi. Cogent social sciences, 8(1). https://doi.org/10.1080/23311886.2021.1997171
2. Anisa, N., Sinulingga, B., Ginting, P., Karina, B., Sembiring, F., & Silalahi, A. S. (2024). A study intention, implementation and adoption of e-wallet in Indonesia. 8(11), 1–18.
3. Bouch, A. (2012). Network quality of service : what do users need ? Network quality of service : what do users need ? March 2000.
4. Diéguez, A. I., Martín, F. V., & Camacho, M. A. (2023). Predicting Fintech Innovation Adoption : the Mediator Role of Social Norms and Attitudes. Financial Innovation. https://doi.org/10.1186/s40854-022-00434-6
5. Dillon, A. (2019). User Interface Design. January 2006. https://doi.org/10.1002/0470018860.s00054
6. Ebo, P. (2010). Modeling Adoption of Mobile Money Transfer A Consumer Behaviour Analysis Modeling Adoption of Mobile Money Transfer : A Consumer.
7. Huang, T. (2023). Psychological factors affecting potential users‟ intention to use autonomous vehicles. 1–22. https://doi.org/10.1371/journal.pone.0282915
8. Influence, t. h. e., perceived, o. f., of, e., on, u. s. e., & intention, t. h. e. (2020). to use mobile payment : attitude toward using as. 3(1), 18–32.
9. Iqbal, M. S., & Fikri, S. M. (2025). Impact of Globalisation, AI Adoption, and FinTech Integration on Banking Sector. Performance and Customer Satisfaction in Post- COVID Pakistan. 1, 1–23. https://doi.org/10.30541/v64i1pp.1-23
10. Kanagie, A. (2025). Impact of Mobile Money and Fintech in Enhancing Financial Inclusion in the Gambia : A Case Study of Wave. 04(04), 710–722. https://doi.org/10.58806/ijsshmr.2025v4i4n15 Kayizzi-mugerwa, S. (2012). AfDB Mobile Money Services,. V.
11. Laukkanen,  T.  (2014). The  role of information in mobile banking resistance. April. https://doi.org/10.1108/02652321011064890
12. Law, K. (2007). Impact of Perceived Security on Consumer Trust in Online Banking.
13. Memon, M. A., Cheah, J., Ramayah, T., Ting, H., Chuah, F., Cham, T. H., Tunku, U., & Rahman, A. (2019). Moderation analysis : issues and. 3(1).
14. Muttaqien, M. K., Syaifullah, H., Anam, M. K., & Mas, T. (2023). Usefulness, Trust, and Intention to Use M-Banking : Evidence from Metropolitan Jakarta. 9(02), 1765–1772.
15. Nasution, A. P., Prayoga, Y., Yasir, M., Pohan, A., Musannip, Z., & Siregar, E. (2023). Adoption of Fintech by Labuhanbatu Students. 7(1), 43–49.
16. Njele, C. C., & Phiri, J. (2021). Factors Affecting Usage of Mobile Money Services and Their Impact on Financial Inclusion : Case of Lusaka Province. 16(7), 104–118. https://doi.org/10.5539/ijbm.v16n7p104
17. Nugroho, Y. A. (2009). The effect of perceived ease of use , perceive of usefulness , perceive risk and trust towards behaviour intention in transaction by internet. 9(1), 79–90.
18. Partial, i. n., for, f., award, t. h. e., the, o. f., of, d., & of, m. (2012). Perceived ease of use, perceived usefulness, behavioural intention to use and acceptance of mobile money transfer services. Mariam naiwumbwe 2008 / hd10 / u / 14343u bbc hons (mak )
19. Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption New determinants of ease of use and perceived usefulness for mobile banking adoption Syed Ali Raza , Amna Umer * and Nida Shah. January. https://doi.org/10.1504/IJECRM.2017.086751
20. Sembiring, O. (n.d.). Trust and Commitment toward Mobile Payment Platform. 4(September 2020), 36–46.
21. Sen, S. (2015). Selecting service providers based on reputation Selecting service providers based on reputation. February.
22. Setiawan, S. O., & Mulia, D. (2023). Factors that Influence Intention to use Mobile Banking. 4(5), 969–979.
23. Siau, K. L. (2014). Building customer trust in mobile commerce. September. https://doi.org/10.1145/641205.641211
24. Simahatie, M., Chadafi, M. F., & Bireuen, B. B. (2024). Proceeding 2 nd Medan International Economics and Business the influence of service quality , price and product quality on consumer satisfaction in proceeding 2 nd medan international economics and business. 2(1), 1131–1141.
25. Study, A. E. (2016). Factors Influencing Usage of Third Party Mobile Payment Services in China : An Empirical Study.
26. Suri, T., & Jack, W. (2016). Supplementary Materials for The long-run poverty and gender impacts of mobile money. 1288(December). https://doi.org/10.1126/science.aah5309
27. Syamsuddin, F. R. (2012). The Influence of Perceived Ease of Use on Behavioural Intention Through Perceived Usefulness as an Intervening Medium in Digital Payment DANA. 340–346.
28. Teknikal, U. (2022). the perceived ease of use in mobile payment support by responsiveness , smartness and mobility. 100(11), 3696–3706.Transaction Consistency and the New Finance in Bankruptcy. (2012). 1–12.
29. Wu, P. (2022). Financial Inclusion , Mobile Money and Regulatory Architecture. 202.
30. Amani, D. (2022). Internal branding and students‟ behavioural intention to become active member of university alumni associations : the role of students‟ sense of belonging in Tanzania internal branding and students‟ behavioural intention to become active member of universi. Cogent Social Sciences, 8(1). https://doi.org/10.1080/23311886.2021.1997171
31. Anisa, N., Sinulingga, B., Ginting, P., Karina, B., Sembiring, F., & Silalahi, A. S. (2024). A study intention, implementation and adoption of e-wallet in Indonesia. 8(11), 1–18.
32. Bouch, A. (2012). Network Quality Of Service : What Do Users Need ? NETWORK QUALITY OF SERVICE : WHAT DO USERS NEED ? March 2000.
33. Diéguez, A. I., Martín, F. V., & Camacho, M. A. (2023). Predicting Fintech Innovation Adoption : the Mediator Role of Social Norms and Attitudes. Financial Innovation. https://doi.org/10.1186/s40854-022-00434-6
34. Dillon, A. (2019). User Interface Design. January 2006. https://doi.org/10.1002/0470018860.s00054
35. Ebo, P. (2010). Modeling Adoption of Mobile Money Transfer A Consumer Behaviour Analysis Modeling Adoption of Mobile Money Transfer : A Consumer.
36. Huang, T. (2023). Psychological factors affecting potential users‟ intention to use autonomous vehicles. 1–22. https://doi.org/10.1371/journal.pone.0282915
37. Influence, T. H. E., Perceived, O. F., Of, E., On, U. S. E., & Intention, T. H. E. (2020). TO USE mobile payment : attitude toward using as. 3(1), 18–32.
38. Iqbal, M. S., & Fikri, S. M. (2025). Impact of Globalisation, AI Adoption, and FinTech Integration on Banking Sector Performance and Customer Satisfaction in Post- COVID Pakistan. 1, 1–23. https://doi.org/10.30541/v64i1pp.1-23
39. Kanagie, A. (2025). Impact of Mobile Money and Fintech in Enhancing Financial Inclusion in the Gambia : A Case Study of Wave. 04(04), 710–722. https://doi.org/10.58806/ijsshmr.2025v4i4n15
40. Kayizzi-mugerwa, S. (2012). AfDB Mobile Money Services,. V.