Scale validation: a case of behavioural intention to use mobile banking
Keywords:
Measurement model, confirmatory factor analysis, banking, Generation Y, South AfricaAbstract
Traditional retail banks face fierce competition from disruptive mobile innovations, consequently driving these conventional banks to invest more resources in mobile channels to maintain and sustain a competitive edge. Among the mobile innovations that revolutionised retail banking is mobile banking, which offers considerable convenience as financial services can be used without the physical access requirements of traditional banking. A validated scale is required to grasp better South African consumers' behavioural intention to use mobile banking. Therefore, this paper aimed to validate a scale measuring mobile banking behavioural usage intention, which, following a comprehensive search of the major academic databases, currently lacks in the South African context. To breach this literature gap, a survey questionnaire was completed by mobile banking consumers (N=334) who use mobile banking. The data was then analysed using analysis of moment structures (AMOS) software. The confirmatory factor analysis results produced in AMOS showed that the behavioural-intention-to-use mobile banking scale is a reliable, valid and well-fitting six-factor structure comprising attitude, perceived behavioural control, self-efficacy, trust, behavioural intention and structural assurances. As the first validated mobile banking behavioural usage intention scale in South Africa, this six-factor scale or structure can be used in path analysis to assess further which factors directly or indirectly predict mobile banking consumers' behavioural tendencies to use mobile banking.
References
ManFactory. (2015). Why is generation Y an attractive target for businesses. Retrieved from https://www.3manfactory.co.uk/news/2015/09/14/why-are-generation-y-an-attractive-target-for-businesses
Ahmed, E., & Ward, R. (2016). Analysis of factors influencing acceptance of personal, academic and professional development e-portfolios. Computers in Human Behavior, 63, 152-161.
Ajimon, G. (2018), "Perceptions of internet banking users – a structural equation modeling (SEM) approach. IIMB Management Review, 30(4), 357-368.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Springer.
Ajzen, I. (1991). The theory of planned behavior. Organisational Behavior and Human Decision Processes, 50(2), 179-211.
Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: perceptions and intentions. Marketing Intelligence Planning, 30(4), 444-459.
Ali, A., Hameed, A., Moin, M. F., & Khan, N. A. (2022). Exploring factors affecting mobile-banking app adoption: a perspective from adaptive structuration theory. Aslib Journal of Information Management. https://www.emerald.com/insight/content/doi/10.1108/AJIM-08-2021-0216/full/html
Almén, N., Lundberg, H., Sundin, O., & Jansson, B. (2018). The reliability and factorial validity of the Swedish version of the Recovery Experience Questionnaire. Nordic Psychology, 70(4), 324-333.
Amaro, S., & Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism Management, 46, 64-79.
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. The British Journal of Social Psychology, 40(Pt 4), 471-499.
Ashique, A. K. A., & Rameshkumar, S. (2022). Current status of research on mobile banking: an analysis of literature. Vision, 1-12.
Ashraf, M. A. (2022). Comprehending the intention to use branchless banking by rural people during the corona pandemic: evidence from Bangladesh. Journal of Financial Services Marketing.
Au-Yong-Oliveira, M., Gonçalves, R., Martins, J., & Branco, F. (2018). The social impact of technology on millennials and consequences for higher education and leadership. Telematics and Informatics, 35(4), 954-963.
Barkhi, R., Belanger, F., & Hicks, J. (2008). A model of the determinants of purchasing form virtual stores. Journal of Organizational Computing and Electronic Commerce, 18(3), 177-196.
Bandura, A. (1994). Self-efficacy. Wiley, New York.
BASA. (2019). 2019 Annual report: The banking association of South Africa. Retrieved from https://www.banking.org.za/wp-content/uploads/2020/07/BASA-2019-ANNUAL-REPORT.pdf
Bloomberg. (2018). Gen Z is set to outnumber millennials within a year. Retrieved from https://www.bloomberg.com/news/articles/2018-08-20/gen-z-to-outnumber-millennials-within-a-year-demographic-trends
Burger, E. (2022). Mobile banking in South Africa. Retrieved from https://www.expatica.com/za/finance/banking/mobile-banking-in-south-africa-100470/
BusinessTech. (2022). What to expect from fintech in South Africa in 2022, including strong plays from Vodacom and MTN. Retrieved from https://businesstech.co.za/news/technology/551162/what-to-expect-from-fintech-in-south-africa-in-2022-including-strong-plays-from-vodacom-and-mtn/
Byrne, B. M. (2010). Structural equation modelling with AMOS: Basic concepts, applications, and programming. New York, NY.: Routledge.
Cambridge Dictionary. (2022). attitude. Retrieved from https://dictionary.cambridge.org/dictionary/english/attitude
Cao, H. L., & Liu, L. (2018). An empirical study on bank customers' acceptance of mobile banking. China Financial Computer, 12, 59-61.
Changchit, C., Klaus, T., Lonkani, R., & Sampet, J. (2020). A cultural study of mobile banking adoption factors. Journal of Computer Information Systems, 60(5), 484-494.
Chaouali, W., & El Hedhli, K. (2019). Toward a contagion-based model of mobile banking adoption. International Journal of Bank Marketing, 37(1), 69-96.
Chauhan, S. (2015). Acceptance of mobile money by poor citizens of India: Integrating trust into the technology acceptance model. info, 17(3), 58-68.
Chigada, J. M., & 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.
Chivers, K. (2021). Digital generations: the technology gap between senior, parents, and kids. Retrieved from https://us.norton.com/internetsecurity-how-to-digital-generations.html#
Cohen. J. 1992. A power primer. Psychological Bulletin, 112(1), 155-159.
Compeau, D., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158.
Cox, J. C., Kerschbamer, R., & Neururer, D. (2016). What is trustworthiness and what drives it. Games and Economic Behavior, 98, 197-218.
Crabbe, M., Standing, C., Standing, S., & Karjaluoto, H. (2009). An adoption model for mobile banking in Ghana. International Journal of Mobile Communications, 7(5), 515-543.
Cruz, P., Neto, L. B. F., Muñoz-Gallego, P., & Laukkanen, T. (2010). Mobile banking rollout in emerging markets: evidence from Brazil. International Journal of Bank Marketing, 28(5), 342-371.
Doran, S, (2011). Why Generation Y is so important to luxury brands. Retrieved from https://www.luxurysociety.com/en/articles/2011/08/why-generation-y-is-so-important-to-luxury brands
FinMark Trust. (2019). Annual report, 2019. Retrieved from https://finmark.org.za/
Fischer, R., & Karl, J. A. (2022). Predicting behavioral intentions to prevent or mitigate COVID-19: a cross-cultural meta-analysis of attitudes, norms and perceived behavioural control effects. Social Psychological and Personality Science, 13(1), 264-276.
Foroughi, B., Iranmanesh, M., & Hyun, S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015-1033.
Fornell, C., & Larcker, D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Franke, G., & Sarstedt, M. 2019. Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430-447.
Freestone, O., & Mitchell, V. (2004). Generation Y attitudes towards e-ethics and internet-related misbehaviours. Journal of Business Ethics, 54(2), 121-128.
Gangwal, N., & Bansal, V. (2016). Proceedings from: The 18th International Conference on Enterprise Information Systems (ICEIS 2016). Rome, Italy.
Goi, C. L., & Ng, P. (2011). Perception of young consumers on mobile phone applications in Malaysia. World Applied Sciences Journal, 15(1), 47-55.
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605-11616.
Gupta, K. P., Manrai, R., & Goel, U. (2019). Factors influencing adoption of payments banks by Indian customers: extending UTAUT with perceived credibility. Journal of Asia Business Studies, 13(2), 173-195.
Hair, J. F., Black, W.C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Hampshire, UK.: Cengage Learning.
Hassan, H. E., & Wood, V. R. (2020). Does country culture influence consumers' perceptions toward mobile banking? A comparison between Egypt and the United States. Telematics and Informatics, 46, 1-14.
Karsh, A. (2020). Fintech in the eyes of Millennials and Generation Z (the financial behavior and Fintech perception). Banks and Bank Systems, 15(3), 20-28.
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.
Kumar, A., Dhingra, S., Batra, V., & Purohit, H. (2020). A framework of Mobile Banking Adoption in India. Journal of Open Innovation: Technology, Market, and Complexity, 6(40), 1-17.
Kumari, A., & Devi, N.C. (2022). Blockchain technology acceptance by investment professionals: a decomposed TPB model. Journal of Financial Reporting and Accounting.
Lee, Y., Hsieh, Y., & Guo, Y. (2013). Construct DTPB model by using DEMATEL: a study of a university library website. Program: Electronic Library and Information Systems, 47(2), 155-169.
Lin, C., & Lin, M. (2019). The determinants of using cloud supply chain adoption. Industrial Management & Data Systems, 119(2), 351-366.
Lin, J., Lu, Y., Wang, B., & Wei, K. K. (2011). The role of inter-channel trust transfer in establishing mobile commerce trust. Electronic Commerce Research and Applications, 10(6), 615-625.
Malhotra, N.K. (2020). Marketing research. An applied orientation. Upper Saddle River, NJ.: Pearson Prentice-Hall.
Markert, J. (2004). Demographics of age: generational and cohort confusion. Journal of Current Issues and Research in Advertising, 26(2), 11-25.
Mayer, R., Davis, J., & Schoorman, F. (1995). An integrative model of organizational trust. The Academy of Management Review, 20(3), 709-734.
McDermott, M. S., Oliver, M., Svenson, A., Simnadis, T., Beck, E. J., Coltman, T., Iverson, D., Caputi, P., & Sharma, R. (2015). The theory of planned behaviour and discrete food choices: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 1-11.
McKinsey & Company. (2020). COVID-19 has made South Africans much more comfortable with online banking. Retrieved from https://www.mckinsey.com/featured-insights/coronavirus-leading-through-the-crisis/charting-the-path-to-the-next-normal/covid-19-has-made-south-africans-much-more-comfortable-with-online-banking
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359.
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, 1-12.
Miller, L., & Lu, W. (2018). Gen Z Is Set to Outnumber Millennials Within a Year. Retrieved from https://www.bloombergquint.com/global-economics/gen-z-to-outnumber-millennials-within-a-year-demographic-trends
Munoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing-ESIC, 21(1), 25-38.
Nardi, V. A. M., Jardim, W. C., Ladeira, W., & Santini, F. (2019). Predicting food choice: A meta-analysis based on the theory of planned behavior. British Food Journal, 121(10), 2250-2264.
Nor, K. M. & Pearson, J. M. (2008). An exploratory study into the adoption of Internet banking in a developing country: Malaysia. Journal of Internet Commerce, 7(1), 29-73.
O, Dea, S. (2020). Number of smartphone users in South Africa from 2014-2023. Retrieved from https://www.statista.com/statistics/488376/forecast-of-smartphone-users-in-south-africa/
Ondiege, P. (2010). Mobile Banking in Africa: Taking the Bank to the People. Africa Economic Brief, 1(8), 1-15.
Pallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS. New York, NY.: Routledge.
Paquin, R. S., & Keating, D. M. (2017). Fitting identity in the reasoned action framework: A meta-analysis and model comparison. The Journal of Social Psychology, 157(1), 47-63.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Purani, K., Kumar, D. S., & Sahadev, S. (2019). E-loyalty among millennials: Personal characteristics and social influences. Journal of Retailing and Consumer Services, 48, 215-223.
Rahman, S., & Azhar, S. (2011). Xpressions of generation Y: perceptions of the mobile phone service industry in Pakistan. Asia Pacific Journal of Marketing and Logistics, 23(1), 91-107.
Rehman, Z. U., & Shaikh, F. A. (2020). Critical factors influencing the behavioral intention of consumers towards mobile banking in Malaysia. Engineering, Technology & Applied Science Research, 10(1), 5265-5269.
Sadiku, M.N.O., Tembely, M., Musa, S.M., & Momo, O. D. (2017). Mobile Marketing. International Journals of Advanced Research in Computer Science and Software Engineering, 7(6), 75-76.
Saibaba, S., & Murthy, T. N. (2013). Factors influencing the behavioral intention to adopt Internet banking: an empirical study in India. Journal of Arts, Science & Commerce, 4(1), pp. 77-91.
Schiffman, L. G., Kanuk, L. L., & Wisenblit, J. (2010). Consumer behaviour. NJ: Pearson Prentice Hall.
Shanmugam, A., Savarimuthu, M. T., & Wen, T. C. (2014). Factors affecting Malaysian behavioral intention to use mobile banking with mediating effects of attitude. Academic Research International, 5(2), 236-253.
Sharma, S.K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: an empirical investigation. International Journal of Information Management, 44, 65-75.
Singh, S., & Srivastava, R. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36, 357-378.
Statista. (2022a). Bank account penetration in South Africa from 2010 to 2025. Retrieved from https://www.statista.com/forecasts/1263879/south-africa-bank-account-penetration
Statista. (2022b). Share of mobile banking customers who enrolled because of coronavirus (COVID-19) pandemic as of April 2020, by country. Retrieved from https://www.statista.com/statistics/1286090/covid-19-impact-on-mobile-banking-enrollment-by-country/
Statistics South Africa. 2020. Mid-year population estimates 2020. 9 July 2020 (Statistical release P0302). Retrieved from http://www.statssa.gov.za/publications/P0302/P03022020.pdfStatistics South Africa. (2021). Mid-year population estimates 2021 (Statistical Release No. P0302). Retrieved from http://www.statssa.gov.za/publications/P0302/P03022021.pdf
Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1, 247-263.
Susanto, T.D., & Goodwin, R. (2013). User acceptance of SMS-based e-government services: differences between adopters and non-adopters. Government Information Quarterly, 30, 486-497.
Talwar, S., Dhir, A., Khalil, A., Mohan, G., & Islam, A. K. M. N. (2020). Point of adoption and beyond. Initial trust and mobile-payment continuation intention. Journal of Retailing and Consumer Services, 55, 1-12. https://doi.org/10.1016/j.jretconser.2020.102086
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144-176.
Tran, H. T. T., & Corner, J. (2016). The impact of communication channels on mobile banking adoption. International Journal of Bank Marketing, 34 (1), 78-109.
Van den Bergh, J., & Behrer, M. (2016). How cool brands stay hot: Branding to Generations Y and Z. Kogan Page Publishers.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Wang, X., Wong, Y.D., Chen, T., & Yuen, K.F. (2022). Journal of Business Research, 142, 1053-1067.
Werenowska, A., & Rzepka, M. (2020). The role of social media in Generation Y travel devision-making process. Information, 11(396), 2-14.
White, A (2021). Millennials and Gen Z are the most likely to use mobile banking apps—here's why, plus budgeting tips. Retrieved from https://www.cnbc.com/select/why-millennials-gen-z-use-mobile-banking-apps/
Yoo, D., Ko, D., & Yeo, I. (2017). Effect if user's trust in usefulness, attitude and intention for mobile sports content services. Journal of Physical Education and Sport, 17(1), 92-96.
Yuen, M. (2022). State of mobile banking in 2022: top apps, features, statistics ad market trends. Retrieved from https://www.insiderintelligence.com/insights/mobile-banking-market-trends
Zhang, X., Wu, Y., & Li, Y. (2019). The tendency of trust in a distrustful environment: the mediation role of contextual perceptions in eWOM. Journal of Marketing Development and Competitiveness, 13(5), 46-64.
Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 21(5), 527-540.
Zhou, T. (2012). Understanding users' initial trust in mobile banking: an elaboration likelihood perspective. Computers in Human Behavior, 28, 1518-1525.
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