Factors for Acceptance and Use of Mobile Money Interoperability Services

Main Article Content

Ayoub Mswahili

Abstract

Using mobile phones for financial transactions has been on a sharp increase globally and particularly in Tanzania. The introduction of mobile money interoperability allows customers to undertake money transfers across different telecom mobile money accounts and bank accounts. This study aimed to find out factors that may influence the acceptance and successful use of mobile money services interoperability that are tailored to banking and unbanked users' intention by integrating three globally accepted theories; DeLonge and McLean information system success model, The Technology Acceptance Model (TAM) and The Task-Technology Fit (TTF) Theory. The study hypotheses were empirically tested using data from 447 mobile money users from both telecom and banks. Data were analysed using the correlation and regression technique. This study found that approximately 81.5% of the dependent variable, which is interoperability of mobile money services, was accounted for by the regression analysis and therefore can strongly be explained very well by independent variables, which are Perceived Ease of Use; price value; Network Availability; Security and Trust; Service quality; Task Characteristics. This study's findings provide valuable understandings for formulating effective strategies concerning financial inclusion to mobile money service providers, governments, and other stakeholders and expand the existing customer base to mobile money service providers. Moreover, this study's results will provide the basis for further refinement of technology acceptance and success models in the emerging mobile money service domain.

Article Details

How to Cite
Mswahili, A. (2022). Factors for Acceptance and Use of Mobile Money Interoperability Services. The Journal of Informatics, 2(1), 1–21. https://doi.org/10.59645/tji.v2i1.45
Section
Articles

References

Abdinoor , A., & Mbamba, U. O. (2017). Factors influencing consumers' adoption of mobile financial services in Tanzania. Cogent Business & Management, 1-19.

Abdullah, M., & Abdul-Hadi, M. (2009). Secure mobile banking using Kerberos protocol.

Eng.&Tech. Journal, 27(6), 1125-1131.

Abeyasekera, S. (2005). Quantitative analysis approaches to qualitative data: why, when and how? Retrieved May 2019, from http://www.reading.ac.uk/ssc/n/resources/Docs

/Quantitative_analysis_approaches_to_qualitative_data.pdf

Ahmed, I. S., & Ali, A. Y. (2017). Determinants of Continuance Intention to Use Mobile Money Transfer: An Integrated Model. Journal of Internet Banking and Commerce, 1- 24.

Ajzen, I. (1991). The theory of planned behaviour. Organisational Behavior and Human Decision Process, 179–211.

Alanazi, A., Frey, B., Niileksela, C., Lee, S. W., Nong, A., & Alharbi , F. (2020). The Role of Task Value and Technology Satisfaction in Student Performance in Graduate-Level Online Courses. Tech Trends, 922–930.

Ali, M. M., & Maideen, M. H. (2019). A Study on Factors Influencing the Adoption of a Crowdsourcing Mobile Application among Generation Y and Zin Maldives. International Journal of Recent Technology and Engineering (IJRTE), 370-388.

Anderson, J., & Gerbing, D. (1988). Structural equation modelling in practice: a review and recommended two-step approach. Psychological Bulletin, 411-423.

Anouze, A. L., & Alamro, A. S. (2020). Factors affecting intention to use e-banking in Jordan.

International Journal of Bank Marketing, 86-112.

Arabehety, P., Chen, G., McKay, C., & Cook, W. (2016). Digital Finance Interoperability & Financial Inclusion: A 20-Country Scan. Washington, D.C.:: Consultative Group to Assist the Poor (CGAP).

Bångens, L., & Söderberg, B. (2009). Mobile Banking –Financial Services For The Unbanked?. Retrieved June 2019, from http://www.spidercenter.org/files/m-banking

_study.pdf

Bank of Tanzania. (2019). Bank of Tanzania Annual Report 2018/19. Dar es Salaam: Bank of Tanzania.

Bordens, K., & Abbott, B. (2011). Research Design and Methods: A Process Approach. (8th ed.). New York, USA: McGraw-Hill.

Chakrabartty, S. (2013). Best Split-Half and Maximum Reliability. IOSR Journal of Research & Method in Education, 1-8.

Chale, P. R., & Mbamba, U. (2014). The role of Mobile money services on the growth of small and Medium Enterprises in Tanzania: Evidence From Kinondoni District in Dar Es Salaam Region. Business Management Review, 81-96.

Changchun, G., Haider, M. J., & Akram, T. (2017). Investigation of the Effects of Task Technology Fit, Attitude and Trust on Intention to Adopt Mobile Banking: Placing the Mediating Role of Trialability. International Business Research, 77-91.

Check J. & Schutt R. K.. (2012). Research methods in education. Thousand Oaks, CA: Sage Publications, 159–185

Cronbach, L. J., & Shavelson, R. J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 391-418.

Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research.

Electronic Commerce Research and Applications, 265-284.

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Retrieved June 14, 2019, from http://www.jstor.org/stable/ pdfplus/249008.pdf

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 9– 30.

DeLone, W., & McLean, E. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 60-95.

DeLone, W., & McLean, E. (2016). Information systems success measurement. Foundations and Trends in Information Systems, 1–116.

De Vaus, D. A(2001). Research Design in Social Research. London: SAGE

Demirgüç-Kunt, A., Leora , K., Dorothe, S., Saniya, A., & Jake, H. (2018). The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank Publications, The World Bank Group.

Edwin, O., Silvance, A., & Fred, W. (2017). Factors Influencing Acceptance of Mobile money Applications in Enterprise Management: A Case Study of Micro and Small Enterprise Owners in Kisumu Central Business District, Kenya. International Journal of Advanced Research in Computer and Communication Engineering, 208-219.

Elias, A., & Mtebe, J. S. (2019). Factors Impacting Tanzanian Rural and Peri-urban Drug Dispensaries' Perceived Benefits from Using a mHealth Reporting System. African Journal of Information and Communication (AJIC), 1-22.

Fishbein, M., & Ajzen, I. (1975). Beliefs, Attitudes, Intention, and Behavior: An Introduction of Theory and Research. Reading, MA: Addison-Wesley.

Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39-50.

Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones smartphones & social media. Internet Higher Educ, 18-26.

Gilman, L. (2016). The impact of mobile money interoperability in Tanzania. London: Global System For Mobile Communications.

Ginty, A. (2013). Construct Validity. In: Gellman M.D., Turner J.R. (eds) Encyclopedia of Behavioral Medicine. New York, NY: Springer.

Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance.

Management Information Systems Quarterly, 213–233.

Green, S.B. (1991). How many subjects does it take to do a regression analysis? Multivariate Behavioral Research, 499‐510

Grobbelaar, S., Botha, A., & Spies, R. (2020). A Scoping Review of the Application of the Task-Technology Fit Theory. International Federation for Information Processing (pp. 397–408). Switzerland: Springer Nature.

Global System For Mobile Communications (2014). A2A Interoperability: Making Mobile Money Schemes Interoperate. London: Global System For Mobile Communications

Global System For Mobile Communications (2015). Mobile Money: Choosing a technical model for A2A interoperability: Lessons from Tanzania and Pakistan. London: Global System For Mobile Communications

Global System For Mobile Communications (2018). State of the Industry Report on Mobile Money. London: Global System for Mobile Communications

Global System For Mobile Communications. (2019). Digital transformation in Tanzania: The role of mobile technology and the impact on development goals. London: Global System For Mobile Communications.

Global System For Mobile Communications. (2020). State of the Industry Report on Mobile Money. London: GSM Association.

Glasow, P, A. (2005). Fundamentals of Survey Research Methodology, McLean, VA: Mitre

Guma, A., Mussa, D. A., & Anael, S. E. (2020). Evaluation of Key Security Issues Associated with Mobile Money Systems in Uganda. MDPI, 1-24.

Hair Jr, F., Sarstedt, M., Hopkins, L., & Kup, G. (2014). Partial least squares structural equation modelling (PLS-SEM) An emerging tool in business research. European Business Review, 106-121.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2017). Partial Least Squares Structural Equation Modeling. Washington, DC: SAGE Publications, Inc.

Hair, J., Hult, G., Ringle, C. M., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equations Modeling (PLS-SEM). SAGE Publications.

Hamdan, J. (2019). The Impact of Mobile Money in Developing Countries. Department of International Economics at DIW Berlin, 1-6.

Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modelling in international marketing. New Challenges to International Marketing, 277-319.

Hertzog, M. (2008). Considerations in Determining Sample Size for Pilot Studies. Retrieved April 20, 2019, from http://www.academia.edu/4027749/Considerations_in_ Determining_ Sample_Size_for_Pilot_Studies

Keith, T. S. (2018). The Use of Cronbach's Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 1273-1296.

Kimberlin, C., & Winterstein, A. (2008). Validity and Reliability of Measurement Instruments Used in Research. American Journal of Health-System Pharmacists, 2276-2284.

Koloseni, D., & Mandari, H. (2017). Why do mobile money users keep increasing? Investigating the continuance usage of mobile money services in Tanzania. Journal of International Technology and Information Management, 117-143.

Lema, A. (2017). Factors influencing the adoption of mobile financial services in the unbanked population. Journal of Humanities and Social Sciences, 37-51.

Lin, H.-Y., Wang, M.-H., & Chen, H.-T. (2019). Determinants for Consumer Adoption of Mobile Payment Technology. International Journal of e-Education, e-Business, e- Management and e-Learning, 146-159.

Lotto, J. (2018). Examination of the Status of Financial Inclusion and Its Determinants in Tanzania. MDPI, Open Access Journal, 1-15.

Lu, J., Liu, C., Yu, C.-S., & Yao, J. E. (2005). Acceptance Of Wireless Internet Via Mobile Technology In China. Journal of International Technology and Information Management, 117-130.

Lubua, E. W., & Semlambo, A. (2017). The influence of the ease of use and perceived usefulness to the adoption of mobile money services in SMEs in Tanzania. An International Journal of Information and Communication Technology (ICT), 131-141.

Lubua, E. W., & Pretorius, P. (2018) The role of the transaction assurance, perceived cost and the perceived innovation in the decision to continue using mobile money services among small business owners. The African Journal of Information Systems: 120-134

Mahmoud, Z. (2019). Determinants of Mobile Money Adoption, 2nd Europe - Middle East - North African Regional Conference of the International Telecommunications Society (ITS): "Leveraging Technologies For Growth", Aswan, Egypt, 18th-21st February 2019, International Telecommunications Society (ITS), Calgary

Mandari, Koloseni & Macha (2020). Continuance Usage of Mobile Banking Services Among Small and Medium Enterprises (SMEs) in Tanzania. International Journal of ICT

Research in Africa and the Middle East, 50–66

Mark, M. L., & Jolley, J. M. (2010). Research Design Explained. Belmont, USA: Wadsworth, Cengage Learning.

Max, M., & Claudia, M. (2018). Building Inclusive Payment Ecosystems in Tanzania and Ghana. Washington, D.C: CGAP.

Mbogo, M. (2010). The impact of mobile payments on the success and growth of micro- business: The case of m-pesa in Kenya. The Journal of Language, Technology & Entrepreneurship in Africa, 2(1), 182-203.

Meso, P. (2005). Towards a model of consumer use of mobile information and communication technology in LDCs: The case of sub-Saharan Africa. Information Systems Journal, 119-146.

Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. (2018). Adoption of Internet of Things in India: a test of competing models using a structured equation modelling approach. Technological Forecasting and Social Change, 339-346.

Mustafa, M. K., & Sifat, A. E. (2018). Interoperability of Digital Finance in Bangladesh: Challenges and Taking-Off Options. Retrieved June Monday, 2020, from http://inm.org.bd/wp-content/uploads/2018/06/Working-Paper-54.pdf

Mutalemwa, D. K., & Anthony, D. (2014). Factors influencing the Use of Mobile Payments in Tanzania: Insights from Zantel's Z-pesa services. The Journal of Language, Technology & Entrepreneurship in Africa (JOLTE), 69-90.

Njele, C.C., & Phiri,J. (2021) Factors Affecting Usage of Mobile money services and Their Impact

on Financial Inclusion: Case of Lusaka Province. International Journal of Business and Management; 16(7), 104-118

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 404-414.

Omol, E., Abeka, S., & Wauyo, F. (2017). Factors Influencing Acceptance of Mobile money Applications in Enterprise Management: A Case Study of Micro and Small Enterprise Owners in Kisumu Central Business District, Kenya. International Journal of Advanced Research in Computer and Communication Engineering, 208-219.

Pasti, F. (2018). State of the Industry Report on Mobile Money. London - United Kingdom: GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS.

Pazarbasioglu, C., Mora, A. G., Uttamchandani, M., Natarajan, H., Feyen, E., & Saal, M. (2020). DIGITAL FINANCIAL SERVICES. Washington, D.C: The World Bank Group.

Rahi, S. (2017). Research design and methods: a systematic review of research paradigms, sampling issues and instruments development. International Journal of Economics and Management Sciences, 1-5.

Rahi, S., Abd. Ghani, M., & Ngah, A. H. (2019). Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan. Technology in Society, 1-10.

Rahi, S., Ghani, M., & Ngah, A. (2018a). A structural equation model for evaluating users' intention to adopt internet banking and intention to recommend technology.

Accounting, 139 -152.

Richard, E., & Mandari, E. (2017). Factors influencing usage of mobile banking services: the case of ilala district in Tanzania. Operations Research Society of Eastern Africa (ORSEA) Journal, 42-54.

Roger, E. M., (1995), Diffusion of Innovations (4th edition). New York: Free Press.

Rowley, J. (2014). Designing and using research questionnaires. Management Research Review, 308-330.

Senso, N., & Venkatakrishana, V. (2013). Challenges of Mobile–Phone Money Transfer Service Market Penetration and Expansion in Singida District, Tanzania. International Journal of research in management and Technology (IJRMT), 205-215.

Straub, D. W. (1989). Validating Instruments in MIS Research.", vol. 13, no. 2, pp. MIS Quarterly, 147–169.

Sürücü, L., & Maslakçi, A. (2020). Validity And Reliability In Quantitative Research.

Business & Management Studies: An International Journal, 2694-2726.

Tam, C., & Oliveira, T. (2016). Performance impact of mobile banking: using the task- technology fit (TTF) approach. International Journal of Bank Marketing, 434-457.

Tanzania National Bureau of Statistics. (2013). TANZANIA IN FIGURES 2012. Dar Es Salaam: Tanzania National Bureau of Statistics.

Tanzania Communications Regulatory Authority (2021). QUARTERLY COMMUNICATIONS STATISTICS: January-June 2021 Operators' Submissions. Dar es Salaam: Tanzania Communications Regulatory Authority.

Thatcher, R. (2010). Validity and Reliability of Quantitative Electroencephalography. Journal of Neurotherapy, 122-152.

Trochim,W & Donnelly,J(2007). Research methods knowledge base. Mason, OH: Thomson Custom Pub

UNCTAD. (2012). mobile money for business development in the EAC. Retrieved May 20, 2019, from http://unctad.org/en/PublicationsLibrary/dtlstict2012d2_en.pdf

UNCTAD. (2019). Digital Economy Report, 2019. New York:

UNCTAD. (2020). Tanzania Rapid eTrade Readiness Assessment. United Nations Conference on Trade and Development.

Venkatesh and Davis (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 186-204.

Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly.425-478

Venkatesh, V., Davis, F., & Morris, M. (2007). "DeDead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 267-286.

Wilson, V., & Mbamba, U. (2017). Acceptance of mobile phone payments systems in Tanzania: the technology acceptance model approach. Business Management Review,(UDSM ), 15-25.

Yang, K. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, 257–277.

Yeh, H. (2019). Factors in the Ecosystem of Mobile Payment Affecting its Use: From the Customers' Perspective in Taiwan. Journal of Theoretical and Applied Electronic Commerce Research, 13-29.