Emerging Market Baby Boomers' Resistance to Using Digital-Only Branded Banking Services: A Status Quo Bias Paradigm

Authors

  • Monique Bvumbe Author
  • Tish Taylor Author
  • Tatenda Chabata University of South Africa image/svg+xml Author

DOI:

https://doi.org/10.51137/wrp.ijarbm.761

Keywords:

Baby Boomers, Digital-Only Branded Banks, Emerging Market, Inertia, Resistance, Status Quo Bias (SQB) Model

Abstract

The financial services industry, especially banks, makes a significant contribution to an economy's long-term success. For banks, particularly digital-only branded banks to achieve long-term sustainability in South Africa, the prevention of resistance to using their services by Baby Boomers requires further research. This underscores this study’s investigation of emerging market Baby Boomers' reluctance to use digital-only branded banking services. Drawing primarily from the Status Quo Bias (SQB) model, this study examined the variables of interest that contribute to Baby Boomers’ reluctance to use digital-only branded banking services. A quantitative cross-sectional research approach was adopted, and data were conveniently collected from 54 Baby Boomers. Data was analysed using the Statistical Package for Social Sciences (SPSS) version 28, which revealed that perceived value and image were the primary resistance factors among the five variables analysed: perceived value. risk. usage. image. and tradition. Actively addressing Baby Boomers' biases toward traditional banking and enhancing the perceived value of digital-only branded banks can encourage a gradual shift toward the adoption of their services among Baby Boomers. This study contributes to the digital banking discourse by identifying psychological and functional resistance factors, supporting a strategic brand management approach that prioritises trust building, delivers tailored engagement and fosters customer loyalty to effectively navigate and diminish Baby Boomers' resistance in an emerging market context.

Author Biographies

  • Monique Bvumbe

    Monique is a driven graduate from Veha School of Branding, with an unwavering passion for strategic thinking and creativity. Having successfully completed Cum laude for her Honours in BCom Strategic Brand Management, and now embarking on an exciting journey with L’Oréal’s Seedz Management Trainee Programme 2025 under the Consumer Products Division (CPD). Her desire is in a dynamic and ever-evolving industry, one that thrives on innovation and constant change. With a background in Digital Marketing and a specialisation in Strategic Brand Management, She is fuelled by the ambition to craft brands that not only captivate attention but also leave a lasting and meaningful impact.

  • Tish Taylor

    With over a decade of experience in the field of research methodology, She is a passionate and dedicated Quantitative Research Methodologist and Statistics Specialist at Wits University. In addition, I am also a MCom Lecturer and Senior Lecturer in Research Methodology at  The Independent Institute of Education Vega School. My focus is on guiding and supporting Masters and PhD students in the Faculty of Commerce Law and Management, helping them navigate their dissertation journeys with ease. Throughout my career, I have been committed to academic excellence and have a strong track record of successfully implementing initiatives to enhance postgraduate throughput rates. My expertise in strategically managing and mentoring academic staff and students has been vital in the supervision of numerous research projects. I am a firm believer in the power of education and am deeply committed to developing the next generation of leaders. As a researcher, I have a strong background in postgraduate research leadership and have published extensively. I am constantly seeking new ways to improve and innovate in my field, and I am always eager to share my knowledge and insights with others.

  • Tatenda Chabata, University of South Africa

    Tatenda Chabata* is currently a Post-Doctoral Fellow at the University of South Africa. He is an emerging researcher with a keen research interest that focuses on digital marketing, consumer behaviour, and sustainability. He has published in several peer-reviewed journals and presented research at local and international conferences. A digital marketing consultant expert with the zeal to increase his research capacity and contribute to practice and academic research discourse. He has supervised over 30 Honors research projects, 2 Master's research projects, currently supervising 2 PhD students. He looks forward to increasing his overall research output.

References

Agarwal, S. & Teas. R.K. (2001). Perceived value: Mediating role of perceived risk. Journal of Marketing Theory and Practice, 43(5), 1–14.

Afik, Z. & Lahav. Y. (2015). A better “autopilot” than sell in May? 40 years in the US market. Journal of Asset Management, 16(1), 41–51.

Allen, D. & Evans, D. (2010). Bidding and overconfidence in experimental financial markets. Journal of Behavioral Finance. 20(28), 35–48.

Andrew, J. & Klein, J. (2003). The boycott puzzle: Consumer Motivation for Purchase Sacrifice. Management Science, 49(3), 1196–1209.

Berger, J. & Heath, C. (2007). Where consumers diverge from others: Identity signaling and product domains. Journal of Consumer Research, 34(8), 121–134.

Boshoff, C. & Nel. J. (2020). Traditional bank customers’ digital-only bank resistance: Evidence from South Africa. International Journal of Bank Marketing, 39(3), 429–454. https://doi.org/10.1108/IJBM-07-2020-0380

Boshoff, C. & Nel. J. (2021). “I just don’t like digital-only banks and you should not use them either”: Traditional bank customers’ opposition to using digital-only banks. Journal of Retailing and Consumer Services, 59, 10–23. https://doi.org/10.1016/j.jretconser.2020.102368

Bryman, A. (2016). Social Research Methods (5th ed.). London Oxford University Press. - References - Scientific Research Publishing. [online] www.scirp.org. https://www.scirp.org/reference/referencespapers?referenceid=1948986.

Chabata, T. T., Muresherwa, G., Marumbwa, J., & Mabuyana, B. (2026). Understanding the mediating role of attitude in the adoption of close-range contactless communication in financial services: an emerging market perspective. Cogent Business & Management, 13(1), 2664255. https://doi.org/10.1080/23311975.2026.2664255

Chabata, T.T., Nel. J. & Maziriri, E.T. (2024). Experiential value and continuance use of retailers’ mobile apps: Emerging market perspective. South African Journal of Economic and Management Sciences, 27(1), 5706. https://doi.org/10.4102/sajems.v27i1.5706

Chaouali, W. & Souiden, N. (2019). The role of cognitive age in explaining mobile banking resistance among elderly people. Journal of Retailing and Consumer Services, 50, 342–350. https://doi.org/10.1016/j.jretconser.2018.07.009

Chantatub, W. & Yu, C.S. (2016). Consumers’ resistance to using mobile banking: Evidence from Thailand and Taiwan. International Journal of Electronic Commerce Studies, 7(1), 21–38. https://doi.org/10.7903/ijecs.1375.

Chemingui, H. & Ben Lallouna, H. (2013). Resistance. motivations. trust and intention to use mobile financial services. International Journal of Bank Marketing. 31(7), 574–592. https://doi.org/10.1108/ijbm-12-2012-0124.

Chernev, A. (2006). Goal orientation and consumer preference for the Status Quo. Journal of Consumer Research, 8(14), 13–31.

Cohen, M. (2020). How the coronavirus crisis will shape the future of virtual reality. Forbes. https://www.forbes.com/sites/columbiabusinessschool/2020/05/21/how-coronavirus-crisis-will-shape-future-of-virtual-reality/

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Creswell, J.W.. & Creswell, J.D. (2017). Research Design Qualitative. Quantitative. and Mixed Methods Approaches. 4th Edition. Sage. Newbury Park.

Faber, J., & Fonseca, L. M. (2014). How sample size influences research outcomes. Dental Press Journal of Orthodontics, 19(4), 27–29. https://doi.org/10.1590/2176-9451.19.4.027-029

Fairchok, S. (2023). What the branch means in the age of digital banking, Emarketer. https://www.insiderintelligence.com/content/what-branch-means-age-of-digital-banking#:~:text=Financial%20institutions%20need%20to%20rekindle,go%20online%20for%20routine%20transactions.

Farrell, J. & Saloner, G. (1986). Installed base and compatibility: innovation, product pre-announcements, and pre-dation. Journal of Economics, 76(5), 940-55.

Fenech, T. (2002). Exploratory study into wireless application protocol shopping. Journal of Retail & Distribution Management, 30(10), 482-97.

Greenfield, P.M. (2009). Linking social change and developmental change: Shifting pathways of human development. Developmental Psychology. 45, 401.

Gupta, S. & Kim, H. (2010). Value driven internet shopping: The mental accounting theory perspective. Journal article of Psychology and Marketing, 27(1), 13–35.

Gupta, A. & Arora, N. (2017). Consumer adoption of m-baking: a behavioural reasoning theory perspective. Journal of Banking Marketing, 11(2), 16–20.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Hair, J.F., Black, W.C., Babin, B.J. & Anderson, R.E. (2013). Multivariate data analysis. London: Pearson Education Limited.

Heidenreich, S. & Kraemer, T. (2015). Passive innovation resistance: The curse of innovation? Investigating consequences for innovative consumer behavior. Journal of Economic Psychology, 51, 134–151. https://doi.org/10.1016/j.joep.2015.09.003

Heidenreich, S. & Kraemer, T. (2016). Innovations doomed to fail? Investigating strategies to overcome passive innovation resistance. Journal of Product Innovation Management, 33(3), 277–297. https://doi.org/10.1111/jpim.12273.

Heidenreich, S., Kraemer, T. & Handrich, M. (2017). Satisfied and unwilling: Exploring cognitive and situational resistance to innovations. Journal of Business Research, 69(7), 178–198.

Herbig, P.A. & Day, R.L. (1992). Customer acceptance: the key to successful introductions of innovations. Journal of Marketing Intelligence and Planning, 10(1), 4-15.

Herzenstein, M., Posavac, S.S. & Brakus, J.J. (2007). Adoption of new products: the effects of self-regulation systems and risk salience. Journal of Marketing Research, 44(7), 251-60.

Hew, J., Leong, L., Tan, G., Ooi, K. & Lee, V. (2019). The age of mobile social commerce: an Artificial Neural Network analysis on its resistances. In: Technological Forecasting and Social Change. Journal of Technology Forecasting and Social Change, 3(11), 32-45.

Holak, S.L. & Lehmann, D.R. (1990). Purchase intentions and the dimensions of innovation: an exploratory model. Journal of Product Innovation Management, 7(1), 59-73.

Hosmer, D.W., Lemeshow, S. & Sturdivant, R.X. (2013). Applied Logistic Regression. 3rd ed. Hoboken. NJ: Wiley.

Joachim, V., Spieth, P. & Heidenreich, S. (2018). Active resistance: AN empirical study on functional and psychological barriers to innovation adoption in different contexts. Journal of Industrial Marketing Management, 10(16), 71-85.

Jones, M.A., Mothersbaugh, D.L. & Beatty, S.E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76, 259–274. https://doi.org/10.1016/s0022-4359(00)00024-5.

Kahneman, D. & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Boston, Trumpeter.

Kannan, P.K. & Kulkarni, G. (2022). The impact of Covid-19 on customer journeys: Implications for interactive marketing. Journal of Research in Interactive Marketing, 16(1), 22–36. https://doi.org/10.1108/jrim-03-2021-0078

Khedhaoouria, A., Thuril, R., Gurau, C. & Heck, E. (2016). Customers continuance intention regarding mobile service providers – A status quo bias perspective. Journal of Global Information Management, 7(9), 69–82.

Kim, C., Chan, H.C. & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. https://doi.org/10.1016/j.dss.2005.05.009

Kleijnen, M., De Ruyter, K. & Andreassen, T.W. (2005). Image congruence and the adoption of service innovations. Journal of Service Research, 7(4), 343-59.

Kleijnen, M.H.P., Lee. N. & Wetzels, M.G.M. (2009). Consumer resistance to innovations. Journal of Economic Psychology, 30(3), 344–357. https://doi.org/10.1007/s11747-014-0399-0.

Klerck, D. & Sweeny, J.C. (2007). The effect of knowledge types on consumer-perceived risk and adoption of genetically modified foods. Journal of Psychology and Marketing, 24(2), 171-93.

Komminoth, L. (2023). TymeBank and Discovery Bank: The rise of digital-only banks in South Africa. BusinessTech.

Kuisma, T., Laukkamen, T. & Hiltunen, M. (2007). Mapping the reasons for resistance to Internet banking: A means – end approach. Journal article of Innovation Management, 8(5), 27–85.

Labay, D.G. & Kinnear, T.C. (1981). Exploring the consumer decision process in the adoption of solar energy systems. Journal of Consumer Research, 8(6), 271-8.

Laukkanen, T. (2016). Consumer adoption versus rejection decisions in digitally-enabled services. Journal of Services Marketing, 30(6), 554–567. https://doi.org/10.1016/j.jbusres.2016.01.013

Laukkanen, T., Sinkkonen, S., Kivijarvi, M. & Laukkanen, P. (2008). Innovation resistance among mature consumers. Journal of Consumer Marketing, 24(7), 177–188.

Lee, M.C. (2009). Factors influencing the adoption of internet banking: A technology acceptance model perspective. International Journal of Electronic Commerce. 13(4), 47–70.

Lee, H.G. & Clark, T.H. (1997). Market process reengineering through electronic market systems: opportunities and challenges. Journal of Management Information Systems, 13(3), 13-37.

Lee, K. & Joshi, K. (2017). Examining the us of status quo bias perspective in IS research : Need for rec-conceptualisation and incorporating biases, 7(9), 6–27.

Lerato, Q. (2020). Analysing the perception and the engagement of Baby Boomers towards digital banking in Mafikeng. Journal article of Business Administration, 85(7-8), 41-52.

Lian, J.W. & Yen, D.C. (2014). Online shopping drivers and barriers for older adults: age and gender differences. Journal of Computers in Human Behaviour, 37(1), 133–143.

Luna-Nevarez, C. & McGovern, E. (2021). The rise of the virtual reality (VR) marketplace: Exploring the antecedents and consequences of consumer attitudes toward V-Commerce. Journal of Internet Commerce, 10(2), 167–194. https://doi.org/10.1080/15332861.2021.1875766

Luo, X., Li, H., Zhang, J. & Shim, J.P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234. https://doi.org/10.1016/j.dss.2010.02.008

McKinsey & Company. (2021). The consumer demand recovery and lasting effects of COVID-19. McKinsey Insights Report. https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/the-consumer-demand-recovery-and-lasting-effects-of-covid-19

Menard, S. (2010). Logistic regression: From introductory to advanced concepts and applications. Sage Publications.

Molesworth, M. & Suortti, J. (2002). Buying cars online: the adoption of the web for high-involvement, high-cost purchases. Journal of Consumer Behaviour, 2(2), 155-68.

Monis, R. & Pai, R. (2023). Digital-only banking: Disrupting traditional finance models in emerging markets. International Journal of Bank Marketing, 41(5), 880–897. https://doi.org/10.53983/ijmds.v13n3.001

Moorthy, K.,Ling, C., Fatt, Y., Yee, C., Yin, E., Yee, K. & Wei, L. (2017). Barriers of mobile commerce adoption intention: perceptions of Generation X in Malaysia. Journal of Theoretical and Applied Electronic Commerce, 12(2), 37–53.

Mthombeni, K. (2021). Digital banking research document. Financial Sector Conduct Authority. https://www.fsca.co.za/Regulatory%20Frameworks/FinTechDocuments/Digital%20Banking%20Research%20Document.pdf

Nel, J. & Boshoff, C. (2021a). “I just don't like digital-only banks. and you should not use them either”: Traditional-bank customers' opposition to using digital-only banks. Journal of Retailing and Consumer Services. 59, 102368. https://doi.org/10.1016/j.jretconser.2020.102368

Nel, J. & Boshoff, C. (2021b). Traditional-bank Customers' Digital-only Bank Resistance: Evidence from South Africa. International Journal of Bank Marketing, 39(3), 429–454. https://doi.org/10.1108/ijbm-07-2020-0380

Newton, I. (1687). The Mathematical Principles of Natural Philosophy.

Ngo, T.T.A., Tran, T.T., An, G.K. & Nguyen, P.T., (2025). Investigating the influence of augmented reality marketing application on consumer purchase intentions: A study in the E-commerce sector. Computers in Human Behavior Reports. 100648. https://doi.org/10.1016/j.chbr.2025.100648.

Oktavianus, J.,Oviedo, H., Gonzalez, W., Putri, A.P. & Lin, T.T. (2017). Why do Taiwanese young adults not jump on the bandwagon of Pokemon Go? Exploring barriers of innovation resistance. Journal of the International Telecommunications, 11(2), 30–42.

Parasuraman, A.,& Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: a research agenda. Journal of the Academy of Marketing Science, 28(1), 168-74.

Polites, G.L. & Karahanna, E. (2012). Shackled to the status quo: The inhibiting effects of incumbent system habit. switching costs. and inertia on new system acceptance. MIS Quarterly, 36(1), 21–42.

Puneet, K., Amandep, D., Naveen, S., Ganesh, S. & Mohammad, A. (2020). An innovation resistance theory perspective on mobile payment solutions. Journal of Retailing and Consumer Services, 55, 102059.

Pura, M. & Brush, G. (2008). Comparing the perceived value of information and entertainment mobile services. Journal article of Psychology and Marketing, 25(8), 732–755.

Ram, S. & Sheth, J. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5–15. https://doi.org/10.1108/eum0000000002542

Ranaweera, C. & Neely, A. (2003). Some moderating effects on the service quality–customer retention link. International Journal of Operations & Production Management, 23(2), 235–257. https://doi.org/10.1108/01443570310458474

Rogers, E.M. (2003). Diffusion of Innovations (5th ed.). New York: Free Press.

Samuelson, W. & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7–59.

Song, I. & Chintagunta, P.K. (2003). A micromodel of new product adoption heterogeneous and forward-looking consumers: application to the digital. Journal of Quantitative Marketing and Economics, 1(8), 371–407.

South African Reserve Bank. (2023). Financial Stability Review: September 2023. Pretoria: SARB. https://www.resbank.co.za/content/dam/sarb/publications/reviews/finstab-review/2023/financial-stability-review/second-edition-2023-financial-stability-review/Second%20Edition%202023%20Financial%20Stability%20Review1.pdf.

Srinivas, V. & Wadhwani, R. (2020). Recognising the value of bank branches in a digital world.

Statista Research Department. (2024). Internet usage in South Africa - statistics & facts. https://www.statista.com/topics/10252/internet-usage-in-south-africa/#topicOverview

Statistics South Africa. (2023). General Household Survey 2023. Pretoria: Stats SA. https://www.statista.com/outlook/fmo/banking/digital-banks/south-africa

Strebel, J., O’Donnell, K. & Meyers, J.C. (2004). Exploring the connection between frustration and consumer choice behaviour in a dynamic decision environment. Journal of Psychology & Marketing, 21(12), 1059-76.

Streeter, B. (2019). More consumers will leave banks if digital offerings don’t improve. The financial brand. https://thefinancialbrand.com/news/digital-banking/digital-banking-customer-experience-security-online-branch-90248/

Talke, K. & Heidenreich, S. (2014). How to overcome pro–change bias: Incorporating passive and active innovation resistance in innovation decision models. Journal of Product Innovation Management, 32(5), 894–904.

Tornatzky, L.G. & Klein, K.J. (1982). Innovation characteristics and innovation adoption-implementation: A Meta-analysis of Findings. Journal of Engineering Management, 29(1), 28-45.

Woodside, A.G. & Biemans, W.G. (2005). Modelling innovation, manufacturing, diffusion and adoption/rejection processes. Journal of Business and Industrial Marketing, 20 (7), 380-93.

Yildiz, T., Deveci, F. & Ercis, A. (2018). The effect of inertia and satisfaction on customer loyalty in online shopping sites. Journal of Marketing, 5(3), 214–225.

Zygiaris, S. (2022). The impact of innovation systems on E-commerce capacity. Journal of the Knowledge Economy, 13(1), 276–289. https://doi.org/10.1007/s13132-021-00724-x

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Published

2026-08-01

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Original Research Paper

How to Cite

Bvumbe, M., Taylor, T., & Chabata, T. T. (2026). Emerging Market Baby Boomers’ Resistance to Using Digital-Only Branded Banking Services: A Status Quo Bias Paradigm. International Journal of Applied Research in Business and Management, 7(9). https://doi.org/10.51137/wrp.ijarbm.761

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