The contribution of government policy and financial security control in Ghana’s mobile money services

References

• Abayomi, O. J., Olabode, A. C., Reyad, M. A. H., Teye, E. T., Haq, M. N., & Mensah, E. T. (2019). Effects of demographic factors on customers’ mobile banking services adoption in Nigeria. International Journal of Business and Social Science, 10(1), 63–22. https://doi.org/10.30845/ijbss.v10n1p9
   Google Scholar
• Abooleet, S., Fang, X., Acker, A., & Murthy, D. (2018, July). Venmo: Understanding mobile payments as social media. In Proceedings of the 9th international conference on social media and society (pp. 5–12).
   Google Scholar
• Acker, A., & Murthy, D. (2018). Venmo: Understanding mobile payments as social media. In Proceedings of the 9th international conference on social media and society (pp. 5–12).
   Google Scholar
• Ajzen, I. (1989). Attitude structure and behavior. Attitude Structure and Function, 241, 274. https://books.google.com.gh/books?hl=en&lr=&id=av8hAwAAQBAJ&oi=fnd&pg=PT248&ots=fGvru4u69j&sig=KH4B4yXPKFEEDeY9Lvx0yK-fft8&redir_esc=y#v=onepage&q&f=false
   Google Scholar
• Akomea-Frimpong, I., Andoh, C., Akomea-Frimpong, A., & Dwomoh-Okudzeto, Y. (2019). Control of fraud on mobile money services in Ghana: An exploratory study. Journal of Money Laundering Control, 22(2), 300–317. https://doi.org/10.1108/JMLC-03-2018-0023
   Web of Science ®Google Scholar
• Alam, S. S., Omar, N. A., Ariffin, M., Azmi, A., & HashimandHazrul, N. N. M. (2018). Integrating TPB, TAM and DOI theories: Empirical evidence for the adoption of mobile banking among customers in Klang Valley, Malaysia. International Journal of Business and Management Science, 8(2), 385–403.
   Google Scholar
• BACE Group. (2019). Challenges faced by mobile financial services in Ghana, https://medium.com/@bacehq/challenges-faced-by-mobile-financial-services-in-ghana-c97b8ef6eb5a ( Date of use 15 March 2020)
   Google Scholar
• Bank of Ghana. (2015). Guidelines for E-Money Issuers in Ghana, https://www.bog.gov.gh/privatecontent/Banking/E-MONEY%20GUIDELINES-29-06-2015-UPDATED5.pdf ( Date of use 22 March 2017)
   Google Scholar
• Beaunoyer, E., Dupéré, S., & Guitton, M. J. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, 111, 106424. https://doi.org/10.1016/j.chb.2020.106424
   PubMed Web of Science ®Google Scholar
• Berry, F. S., & Berry, W. D. (2018). Innovation and diffusion models in policy research. Theories of the Policy Process, 253–297. https://reader.elsevier.com/reader/sd/pii/S0747563220301771?token=795574BE34AF36F6C55B7D1CECA6D44449A4A9E3386C91684F59BC1C30BAD0D7173751B595F383AD779BA3A1825583E6&originRegion=eu-west-1&originCreation=20221020124213
   Google Scholar
• Bowers, J., Reaves, B., Sherman, I. N., Traynor, P., & Butler, K. (2017). Regulators, mount up! analysis of privacy policies for mobile money services. In Thirteenth symposium on usable privacy and security (SOUPS 2017) (pp. 97–114).
   Google Scholar
• Bryant, J., Holloway, K., Lough, O., & Willitts-King, B. (2020). Bridging humanitarian digital divides during Covid-19. HPG (ODI). https://www.odi.org/publications/17580-bridging-humanitarian-digital-divides-during-covid-19
   Google Scholar
• Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India–An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256
   Web of Science ®Google Scholar
• Chigada, J., & Hirschfelder, B. (2017). Mobile banking in South Africa: A review and directions for future research. South African Journal of Information Management, 19(1), 1–9. https://journals.co.za/doi/abs/10.4102/sajim.v19i1.789
   Web of Science ®Google Scholar
• Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
   Google Scholar
• David-West, O., Oni, O., & Ashiru, F. (2021). Diffusion of innovations: Mobile money utility and financial inclusion in Nigeria. Insights from Agents and Unbanked Poor End Users. Information Systems Frontiers, 1–21. https://doi.org/10.1007/s10796-021-10196-8
   Google Scholar
• Davis, F. D. (1989). Perceived Usefulness, Perceived ease of use, and user acceptance of information technology‟. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Dolowitz, D. P., & Marsh, D. (2000, January). Learning from abroad: The role of policy transfer in contemporary policy-making. Governance, 13(1), 5–23. https://doi.org/10.1111/0952-1895.00121
   Web of Science ®Google Scholar
• Doris, F. A., & Caroline, T. (2017). Mobile money use in Ghana: An assessment of its relevance in the financial inclusion of rural communities. Advances in Social Sciences Research Journal, 4(7), 192–201. https://doi.org/10.14738/assrj.47.2950
   Google Scholar
• Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of human-computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
   Web of Science ®Google Scholar
• Fishbein, M., Jaccard, J., Davidson, A. R., Ajzen, I., & Loken, B. (1980). Predicting and understanding family planning behaviors. In Understanding attitudes and predicting social behavior. Prentice Hall. https://nyuscholars.nyu.edu/en/publications/predicting-and-understanding-family-planning-behaviors
   Google Scholar
• Fowler, F. J., Jr. (2013). Survey research methods. Sage publications.
   Google Scholar
• Garson, G. D. (2016). Partial least squares regression & structural model. Asheboro, NC: Statistical Associates Publishers Publications. 978-1-62638-039-4.
   Google Scholar
• Gautam, S., Kumar, U., & Agarwal, S. (2020, June). study of consumer intentions on using mobile wallets using tam model. In 2020 8th international conference on reliability, infocom technologies and optimization (trends and future directions)(ICRITO) (pp. 203–207). IEEE.
   Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
   Web of Science ®Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2 ed.). Sage.
   Google Scholar
• Hampshire, C. (2016). Exploring UK consumer perceptions of mobile payments using smart phones and contactless consumer devices through an extended technology adoption model. ( Doctoral dissertation). University of Chester.
   Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 2015(43), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Google Scholar
• Hillman, S., & Neustaedter, C. (2017). Trust and mobile commerce in North America. Computers in Human Behavior, 70, 10–21. https://doi.org/10.1016/j.chb.2016.12.061
   Web of Science ®Google Scholar
• Huei, C. T., Cheng, L. S., Seong, L. C., Khin, A. A., & Bin, R. L. L. (2018). Preliminary study on consumer attitude towards finTech products and services in Malaysia. International Journal of Engineering & Technology, 7(2.29), 166–169. https://doi.org/10.14419/ijet.v7i2.29.13310
   Google Scholar
• Islami, M. M., Asdar, M., & Baumassepe, A. N. (2021). analysis of perceived usefulness and perceived ease of use to the actual system usage through attitude using online guidance application. Hasanuddin Journal of Business Strategy, 3(1), 52–64. https://doi.org/10.26487/hjbs.v3i1.410
   Google Scholar
• Kanobe, F., Alexander, P. M., & Bwalya, K. J. (2017). Policies, regulations and procedures and their effects on mobile money systems in Uganda. The Electronic Journal of Information Systems in Developing Countries, 83(1), 1–15. https://doi.org/10.1002/j.1681-4835.2017.tb00615.x
   Web of Science ®Google Scholar
• Kanobe, F., Alexander, M. P., & Bwalya, K. J. (2019, July). information security management scaffold for mobile money systems in Uganda. In Proceedings of the 18th European conference on cyber warfare & security, University of Coimbra, Coimbra, Portugal (pp. 4–5).
   Google Scholar
• Katusiime, L. (2021). Mobile money use: The impact of macroeconomic policy and regulation. Economies, 9(2), 5. https://doi.org/10.3390/economies9020051
   Web of Science ®Google Scholar
• Kelly, A. E., & Palaniappan, S. (2019). Survey on customer satisfaction, adoption, perception, behaviour, and security on mobile banking. Journal of Information Technology & Software Engineering, 9(2), 1–15 https://soi.org/10.35248/2165-7866.19.9.259.
   Google Scholar
• Kemal, A. A. (2019). Mobile banking in the government-to-person payment sector for financial inclusion in Pakistan. Information Technology for Development, 25(3), 475–502. https://doi.org/10.1080/02681102.2017.1422105
   Web of Science ®Google Scholar
• Khan, B. U. I., Olanrewaju, R. F., Baba, A. M., Langoo, A. A., & Assad, S. (2017). A compendious study of online payment systems: Past developments, present impact, and future considerations. International Journal of Advanced Computer Science and Applications, 8(5), 256–271. https://pdfs.semanticscholar.org/3e60/35d2232d5f3db969a88d48695b6c58361609.pdf
   Web of Science ®Google Scholar
• Kingiri, A. N., & Fu, X. (2019). Understanding the diffusion and adoption of digital finance innovation in emerging economies: M-Pesa money mobile transfer service in Kenya. Innovation and Development. https://doi.org/10.1080/2157930X.2019.1570695
   Google Scholar
• KPMG. (2018). Digital paymentsAnalysing the cyber landscape, https://assets.kpmg/content/dam/kpmg/ca/pdf/2017/04/digital-payments-analysing-the-cyber-landscape-kpmg-canada.pdf (Date of use 21 March 2017)
   Google Scholar
• Lakshmi, K. K., Gupta, H., & Ranjan, J. (2017, December). USSD—Architecture analysis, security threats, issues and enhancements. In 2017 international conference on infocom technologies and unmanned systems (trends and future directions)(ICTUS) (pp. 798–802). IEEE.
   Google Scholar
• Lin, K. Y., Wang, Y. T., & Huang, T. K. (2020). Exploring the antecedents of mobile payment service usage: Perspectives based on cost–benefit theory, perceived value, and social influences. Online Information Review, 44(1), 299–318. https://doi.org/10.1108/OIR-05-2018-0175
   Web of Science ®Google Scholar
• Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Munoz-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
   Web of Science ®Google Scholar
• Malaquias, F., Malaquias, R., & Hwang, Y. (2018). Understanding the determinants of mobile banking adoption: A longitudinal study in Brazil. Electronic Commerce Research and Applications, 30, 1–7. https://doi.org/10.1016/j.elerap.2018.05.002
   Web of Science ®Google Scholar
• Malinga, R. B., & Maiga, G. (2020). A model for mobile money services adoption by traders in Uganda. The Electronic Journal of Information Systems in Developing Countries, 86(2), e12117. https://doi.org/10.1002/isd2.12117
   Web of Science ®Google Scholar
• Markoska, K., & Ivanochko, I. (2018). Mobile banking services—business information management with mobile payments. In Agile information business (pp. 125–175). Springer.
   Google Scholar
• Martin, A. (2019). Mobile money platform surveillance. Surveillance & Society, 17(1/2), 213–222. https://doi.org/10.24908/ss.v17i1/2.12924
   Web of Science ®Google Scholar
• McLeod, B. D. (2009). Understanding why therapy allegiance is linked to clinical outcomes. 16(1), 69–72. https://doi.org/10.1111/j.1468-2850.2009.01145.x
   Google Scholar
• Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 101151. https://doi.org/10.1016/j.techsoc.2019.101151
   Web of Science ®Google Scholar
• Mew, J., & Millan, E. (2021). Mobile wallets: Key drivers and deterrents of consumers’ intention to adopt. The International Review of Retail, Distribution and Consumer Research, 31(2), 182–210. https://doi.org/10.1080/09593969.2021.1879208
   Web of Science ®Google Scholar
• Mingis, K. (2020). Tech pitches in to fight COVID-19 pandemic. Computerworld. https://www.computerworld.com/article/3534478/tech-pitches-in-to-fight-covid-19-pandemic.html
   Google Scholar
• Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234. https://doi.org/10.3390/su10010234
   Web of Science ®Google Scholar
• Patnam, M., Yao, W., & Haksar, V. (2020). the real effects of mobile money: Evidence from a large-scale fintech expansion. IMF Working Papers, 2020(138). https://www.imf.org/en/Publications/WP/Issues/2020/07/24/The-Real-Effectsof-Mobile-Money-Evidence-from-a-Large-Scale-FintechExpansion-49549
   Google Scholar
• Patwardhan, A. (2018). Financial inclusion in the digital age. In Handbook of blockchain, digital finance, and inclusion (Vol. 1, pp. 57–89). Academic Press. https://doi.org/10.1016/B978-0-12-810441-5.00004-X
   Google Scholar
• Paul, P., & Aithal, P. S. (2019, October). Mobile applications security: An overview and current trend. In Proceedings of national conference
   Google Scholar
• Payne, E. M., Peltier, J. W., & Barger, V. A. (2018). Mobile banking and AI-enabled mobile banking: The differential effects of technological and non-technological factors on digital natives’ perceptions and behavior. Journal of Research in Interactive Marketing,12(3), 328–346. https://doi.org/10.1108/JRIM-07-2018-0087
   Web of Science ®Google Scholar
• Pooja, K., Shilpa, G., & Shruti, P. (2021). mobile agent communication, security concerns, and approaches: an insight into different kinds of vulnerabilities a mobile agent could be subjected to and measures to control them. In Research anthology on securing mobile technologies and applications (pp. 23–34). IGI Global.
   Google Scholar
• Priya, R., Gandhi, A. V., & Shaikh, A. (2018). Mobile banking adoption in an emerging economy. Benchmarking: An International Journal, 25(2), 743–762. https://doi.org/10.1108/BIJ-01-2016-0009
   Web of Science ®Google Scholar
• Qureshi, F., Rea, S. C., & Johnson, K. N. (2021). (Dis) creating claims of financial inclusion: The integration of artificial intelligence in consumer credit markets in the United States and Kenya. Journal of International and Comparative Law, 8, 405. https://heinonline.org/HOL/LandingPage?handle=hein.journals/jintcl8&div=20&id=&page=
   Google Scholar
• Radaelli, C. M. (2005, October). Diffusion without convergence: How political context shapes the adoption of regulatory impact assessment. Journal of European Public Policy, 12(5), 924_943. https://doi.org/10.1080/13501760500161621
   Web of Science ®Google Scholar
• Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65. https://doi.org/10.1504/IJECRM.2017.086751
   Google Scholar
• Rehman, S. U., Bhatti, A., Mohamed, R., & Ayoup, H. (2019). The moderating role of trust and commitment between consumer purchase intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9(1), 1–25. https://doi.org/10.1186/s40497-019-0166-2
   Web of Science ®Google Scholar
• Renaud, K., Orgeron, C., Warkentin, M., & French, P. E. (2020). Cyber security responsibilization: an evaluation of the intervention approaches adopted by the Five Eyes countries and China. Public Administration Review, 80(4), 577–589. https://doi.org/10.1111/puar.13210
   Web of Science ®Google Scholar
• Reyes-Mercado, P., Karthik, M., & Mishra, R. K. (2020). What's in a brand name? Preferences of mobile wallets in India under a shifting regulation. International Journal of Business Forecasting and Marketing Intelligence, 6(2), 118–134. https://doi.org/10.1504/IJBFMI.2020.109880
   Google Scholar
• Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655
   Web of Science ®Google Scholar
• Scherer, F. M. (1980). Industrial market structure and economic performance. Houghton-Mifflin.
   Google Scholar
• Sigurdsson, V., Menon, R. V., Hallgrímsson, A. G., Larsen, N. M., & Fagerstrøm, A. (2018). Factors affecting attitudes and behavioral intentions toward in-app mobile advertisements. Journal of Promotion Management, 24(5), 694–714. https://doi.org/10.1080/10496491.2018.1405523
   Google Scholar
• Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022
   Web of Science ®Google Scholar
• Sugandini, D., Purwoko, P., Pambudi, A., Resmi, S., Reniati, R., Muafi, M., & Adhyka Kusumawati, R. (2018). The role of uncertainty, perceived ease of use, and perceived usefulness towards the technology adoption. International Journal of Civil Engineering and Technology (IJCIET), 9(4), 660–669.
   Google Scholar
• Suhartanto, D., Dean, D., Ismail, T. A. T., & Sundari, R. (2019). Mobile banking adoption in Islamic banks: Integrating TAM model and religiosity-intention model. Journal of Islamic Marketing, 11(6), 1405–1418. https://doi.org/10.1108/JIMA-05-2019-0096
   Web of Science ®Google Scholar
• Taherdoost, H. (2017). Determining sample size; how to calculate survey sample size. International Journal of Economics and Management Systems, 2.
   Google Scholar
• Tidd, J., & Bessant, J. R. (2020). Managing innovation: Integrating technological, market and organizational change. John Wiley & Sons.
   Google Scholar
• Tiong, W. N. (2020). Factors Influencing Behavioural Intention towards Adoption of Digital Banking Services in Malaysia. International Journal of Asian Social Science, 10(8), 450–457.
   Google Scholar
• Uttley, J. (2019). Power analysis, sample size, and assessment of statistical assumptions—Improving the evidential value of lighting research. Leukos.
   Google Scholar
• Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115–139. https://doi.org/10.2307/3250981
   Web of Science ®Google Scholar
• World Bank. (2012), Innovation in retail payments worldwide: A snapshot. http://siteresources.worldbank.org/financialsector/resources/282044-1323805522895/innovations_in_retail_payments_worldwide_consultative_report(10-17).pdf
   Google Scholar
• Younas, W., & Kalimuthu, K. R. (2021). Telecom microfinance banking versus commercial banking: A battle in the financial services sector. Journal of Financial Services Marketing, 26(2), 67–80. https://doi.org/10.1057/s41264-020-00085-7
   Web of Science ®Google Scholar