The Impact of the ‘Go Cashless Campaign’ on Mobile Money Adoption in Chikankata District, Zambia
DOI:
https://doi.org/10.59413/ajocs/v7.i5.18Keywords:
Go Cashless Campaign, Perceived Usefulness of Mobile Money, Technological Factors, Mobile Money AdoptionAbstract
Mobile money can facilitate financial inclusion in Zambian rural areas, which usually have high mobile phone use and steady remittance activities. Most of the citizens in rural areas of Zambia meet the minimum technological requirements to use mobile money; however, mobile money adoption in these areas is relatively low. The purpose of this study was primarily to assess the impact of the ‘Go Cashless Campaign’ on mobile money adoption in Chikankata District, Zambia, with specific focus on the Chikankata Mission area. For this purpose, the study analysed 139 participants, broken down as follows: 112 ordinary mobile money users and 27 small-scale businesses that use mobile money. The objectives of the study were to determine the level of awareness of the Go Cashless Campaign in Chikankata, identify drivers and barriers of mobile money adoption, and estimate differences across demographic groups. The study used primary and secondary data, employed a pragmatism research philosophy and a mixed-methods approach. Data were collected using a survey questionnaire administered by the researcher to respondents sampled through purposive and stratified random sampling techniques. The study provided evidence-based recommendations for improving digital financial literacy, strengthening the regulatory framework and enhancing rural financial inclusion. The study further contributed to mobile money operators’ knowledge base from insights into factors that influence mobile money adoption, guiding the design of targeted promotional strategies that would improve network distribution as well as enhance reliability in rural districts like Chikankata. The research also provided empirical evidence from a rural Zambian district.
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References
Ahmad, F., et al. (2020). What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository. Journal of Learning Analytics, 7(2), 1–15.
Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232. DOI: https://doi.org/10.1257/jep.24.3.207
Alam, M. M. R., Khan, M. S. U., & Rabbi, K. (2018). Impact of mobile banking on financial inclusion in Bangladesh. Bangladesh Institute of Bank Management Journal, 42(2), 45–60.
Asongu, S. A., et al. (2024). Mobile money innovations, gender inclusion and income inequality in Sub-Saharan Africa. South African Journal of Economics, 92(1), 112–130. DOI: https://doi.org/10.1186/s40854-023-00553-8
Auer, R., Cornelli, G., & Frost, J. (2020). Rise of the central bank digital currencies: Drivers, approaches and technologies. BIS Working Papers, No 880. DOI: https://doi.org/10.2139/ssrn.3724070
Bank of Zambia. (2016). National Payment Systems Development and Framework. Lusaka: Bank of Zambia.
Bank of Zambia. (2021). Annual Report 2021. Lusaka: Bank of Zambia.
Bank of Zambia. (2022). Launch of digital finance services campaign—“Go Cashless”. CB Circular No. 12/2022. Lusaka: Bank of Zambia.
Bank of Zambia. (2024). National Financial Inclusion Strategy II (2024–2028). Lusaka: Bank of Zambia.
Batista, C. and Vicente, P.C., 2025. Is mobile money changing rural Africa? Evidence from a field experiment. Review of Economics and Statistics, 107(3), pp.835-844. DOI: https://doi.org/10.1162/rest_a_01333
Benjamin, C., & Phiri, S. C. (2026). When crisis calls, does mobile money answer? Evidence from high-frequency transactions data in Zambia. Bank of Zambia Working Paper Series, WP/2026/1.
Brink, H., Van der Walt, C., & Van Rensburg, G. (2006). Fundamentals of research methodology for health care professionals (3rd ed.). Cape Town: Juta and Company Ltd.
Cochran, W.G., (1977). Sampling techniques. john wiley & sons.
Chibuye, B., & Phiri, S. C. (2026). When crisis calls, does mobile money answer? Evidence from high-frequency transactions data in Zambia. Bank of Zambia Working Paper Series, WP/2026/1.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. DOI: https://doi.org/10.2307/249008
Demirgüç-Kunt, A., et al. (2018). The Global Findex Database 2017: Measuring financial inclusion and the fintech revolution. Washington, DC: World Bank. DOI: https://doi.org/10.1596/978-1-4648-1259-0
Demirgüç-Kunt, A., et al. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. Washington, DC: World Bank. DOI: https://doi.org/10.1596/978-1-4648-1897-4
Donovan, K. (2012). Mobile money for financial inclusion. Information and Communications for Development, 1(1), 61–73. DOI: https://doi.org/10.1596/9780821389911_ch04
Global Microscope. (2018). The enabling environment for financial inclusion. Washington, DC: Economist Intelligence Unit.
GSMA. (2017). The state of the industry report on mobile money 2017. London: GSMA.
GSMA. (2022). The state of the industry report on mobile money 2022. London: GSMA.
GSMA. (2023). The state of the industry report on mobile money 2023. London: GSMA.
GSMA. (2026). The state of the industry report on mobile money 2026. London: GSMA.
Hasan, M. M., Khan, T., & Hasan, M. M. (2024). Mental health illness in Bangladesh: Drivers and socioeconomic determinants. International Journal of Science and Development, 1(1), 51–62.
Hassan, R. (2024). Does mobile money adoption increase informal business performance in Zambia? Journal of the Knowledge Economy, 15(1), 1556–1570. DOI: https://doi.org/10.1007/s13132-023-01205-z
Jack, W., & Suri, T. (2011). Mobile money: The economics of M-PESA. Working Paper, Georgetown University. DOI: https://doi.org/10.3386/w16721
Jack, W., & Suri, T. (2014). Risk sharing and transactions costs: Evidence from Kenya’s mobile money revolution. American Economic Review, 104(1), 183–223. DOI: https://doi.org/10.1257/aer.104.1.183
Kyriazos, T. A. (2018). Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General. Psychology, 9, 2207-2230. DOI: https://doi.org/10.4236/psych.2018.98126
Kikulwe, E., et al. (2014). Mobile money and agricultural development in Uganda. Agricultural Economics, 45(5), 587–598.
Klapper, L., & Singer, D. (2017). The opportunities and challenges of digitizing government-to-person payments. The World Bank Research Observer, 32(2), 211–226. DOI: https://doi.org/10.1093/wbro/lkx003
Kotkowski, R., & Polasik, M. (2021). COVID-19 pandemic increases the divide between cash and cashless payment users in Europe. Economics Letters, 209, 110139. DOI: https://doi.org/10.1016/j.econlet.2021.110139
Marshall, C., & Rossman, G. B. (2016). Designing qualitative research (6th ed.). Thousand Oaks, CA: Sage.
Morawczynski, O. (2011). Saving through the mobile phone—The case of M-PESA. Journal of International Development, 21(5), 651–663.
Mothobi, O., & Grzybowski, L. (2017). Infrastructure deficiencies and adoption of mobile money in Sub-Saharan Africa. Information Economics and Policy, 40, 71–79. DOI: https://doi.org/10.1016/j.infoecopol.2017.05.003
Mwansa, S., Shaikh, J., & Mubanga, P. (2020). Special economic zones: An evaluation of Lusaka South Multi-Facility Economic Zone. Journal of Social and Political Sciences, 3(2), 123–135. DOI: https://doi.org/10.31014/aior.1991.03.02.188
Nyika, A. (2024). Challenges in the adoption of mobile money services by mobile phone users in Lusaka, Zambia. Zambia Journal of Business Studies, 8(1), 45–58. DOI: https://doi.org/10.47941/jbsm.1685
Nulty, D.D., (2008). The adequacy of response rates to online and paper surveys: what can be done?. Assessment & evaluation in higher education, 33(3), pp.301-314. DOI: https://doi.org/10.1080/02602930701293231
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
Rwechungura, K. (2020). Stability and profitability of commercial banks in Tanzania. East African Journal of Social and Applied Sciences, 2(1), 76–88.
Rwechungura, K. A. (2025). Factors influencing mobile money adoption in Tanzania. East African Journal of Business and Economics, 7(2), 112–128. DOI: https://doi.org/10.64717/ajass.v6i2.204
Shamoo, A. E., & Resnik, B. R. (2003). Responsible conduct of research. Oxford: Oxford University Press.
Suri, T. (2017). Mobile money. Annual Review of Economics, 9, 497–520. DOI: https://doi.org/10.1146/annurev-economics-063016-103638
Suri, T., & Jack, W. (2016). The long-run poverty and gender impacts of mobile money. Science, 354(6317), 1288–1292. DOI: https://doi.org/10.1126/science.aah5309
Suri, T., et al. (2023). Digital finance and inclusive growth in Africa. Journal of Development Studies, 59(3), 401–419.
Tobbin, P. E. (2010). Modeling adoption of mobile money transfer: A consumer behaviour analysis. In Proceedings of the 2nd International Conference on Mobile Communication Technology for Development (pp. 1–8). Kampala, Uganda.
Venkatesh, V., et al. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. DOI: https://doi.org/10.2307/30036540
Venkatesh, V., et al. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. DOI: https://doi.org/10.2307/41410412
Wale, L. E., & Makina, D. (2017). Account ownership and use of financial services among individuals: Evidence from selected Sub-Saharan African economies. African Journal of Economic and Management Studies, 8(1), 19–35. DOI: https://doi.org/10.1108/AJEMS-03-2017-146
World Bank. (2014). Doing Business 2015: Going beyond efficiency. Washington, DC: World Bank.
World Bank. (2016). Digital financial inclusion and its implications for financial stability. Washington, DC: World Bank.
World Bank. (2017). The Global Findex Database 2017: Measuring financial inclusion and the fintech revolution. Washington, DC: World Bank.
Yunus, N. A. (2012). The determinants of mobile banking adoption in Indonesia. Journal of Internet Banking and Commerce, 17(2), 1–9.
Zambia Information and Communications Technology Authority (ZICTA). (2022). Annual sector performance report 2022. Lusaka: ZICTA.
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