An Assessment of the Factors Affecting Mobile Money Provision in Lufwanyama
Keywords:
Mobile money, financial inclusion, Technology Acceptance Model, Lufwanyama District, ZambiaAbstract
This article analyzes mobile money provision in Lufwanyama District using a descriptive research design aligned to the Technology Acceptance Model. The study surveyed 384 respondents. Lufwanyama is estimated to have 303 agents which yields an agent to population ratio of 1 to 439 and 22.79 agents per 10,000 people. Provider presence is broad for Kazang at 62.5 percent, MTN at 61.7 percent, and Airtel at 60.4 percent with Zamtel present in 13.5 percent of areas. Access remains uneven as 11.7 percent of respondents report no agent within 1 to 2 kilometers and 8.1 percent travel more than 5 kilometers to the nearest agent. Awareness is near universal and use is universal in the sample. Perceived usefulness and ease of use are high while trust is mixed. The most frequently cited constraint is poor network coverage reported by 86.7 percent followed by high transaction fees at 49.7 percent and both limited agent availability and trust or security concerns at 37.8 percent. Findings support targeted expansion of agent coverage improvements in rural connectivity, stronger liquidity management and user protection measures to deepen financial inclusion.
References
[1]. Allen, F., Demirguc‑Kunt, A., Klapper, L. & Martinez Peria, M.S., 2016. The foundations of financial inclusion: Understanding ownership and use of formal accounts. Journal of Financial Intermediation.
[2]. Gelb, A. & Castrillon, D., 2019. Identifying and verifying customers: When are KYC requirements likely to become constraints? CGD Working Paper.
[3]. GSMA, 2012. Managing a Mobile Money Agent Network. GSMA.
[4]. GSMA, 2014. State of the Industry Report: Mobile Money. GSMA.
[5]. GSMA, 2024. State of the Industry Report on Mobile Money. GSMA.
[6]. Wieser, C., Bruhn, M., Kinzinger, J., Ruckteschler, C. & Heitmann, S., 2019. The impact of mobile money agent rollout in rural Uganda. World Bank Policy Research Working Paper.
[7]. Akinyemi, B. & Mushunje, A., 2020. Determinants of mobile money technology adoption in rural Africa. Cogent Social Sciences.
[8]. Chogo, P. & Sedoyeka, E., 2014. Exploring factors affecting mobile money adoption in Tanzania. Dar es Salaam.
[9]. Mswahili, A., 2022. Factors for acceptance and use of mobile money interoperability service. Dar es Salaam.
[10]. Okelo, G., Malinga, C. & Manzi, A., 2020. Trust as a mediator between mobile money adoption, usage and financial inclusion. Uganda.
[11]. Tsegaye, F., 2022. Factors affecting the provision of mobile money services in Ethiopia. Addis Ababa University.
[12]. Bank of Zambia, 2023. National Payment Systems Annual Report. Lusaka: Bank of Zambia.
[13]. Helix Institute & UNCDF, 2016. Agent Network Accelerator Survey: Zambia Country Report. UNCDF.
[14]. Kawimbe, C., Sishumba, G., Sikazwe, S. & Saidi, M., 2022. Factors affecting the adoption of mobile money services in Zambia. International Journal of Business and Management.
[15]. UNICEF, 2021. Process Evaluation of Zambia Emergency Cash Transfer Programmes. UNICEF Zambia.
[16]. Davidson, N. & Leishman, P., 2012. Managing a Mobile Money Agent Network. GSMA.
[17]. Tobbin, P. 2010. Modelling provision of mobile money transfer services.
[18]. World Bank (2021). Global Findex 2021.
[19]. Bongomin, G.O.C. & Ntayi, J.M. (2020). Trust and security concerns as barriers to mobile money usage.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal of Social Sciences: Current and Future Research Trends

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who submit papers with this journal agree to the following terms.