Customer Loyalty in E-Banking Across Generations

This article aims to identify the differences in customer loyalty among generational groups in the context of electronic banking. The study is based on a survey that was conducted among 321 Polish respondents. Using correspondence analysis and chi-square tests, we confirmed statistically significant generational differences in loyalty; Generation Z showed the lowest loyalty levels, while Baby Boomers displayed the highest. By applying correspondence analysis – a rarely used method in this context – we revealed distinct loyalty patterns that were linked to generational traits. The findings suggest that banks should adopt age-differentiated loyalty strategies. For younger customers (particularly Millennials and Generation Z), personalised digital experiences, alignments with brand values, and emotional engagement may be key to improving their loyalty. In contrast, emphasising service reliability, long-term trust, and security is likely to be more effective for older generations such as Generation X and Baby Boomers. This study enhances both a theoretical understanding and practical strategies for customer retention in e-banking.

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Publication Details

Journal
Acta Universitatis Lodziensis Folia oeconomica
Published
2025-11-25
DOI
https://doi.org/10.18778/0208-6018.372.02
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Customer Loyalty in E-Banking Across Generations

Marcin Suder, Tomasz Wójtowicz, Karolina Jakóbik
Acta Universitatis Lodziensis Folia oeconomica
Technology Adoption and User Behaviour
article

Customer Loyalty in E-Banking Across Generations

Marcin Suder, Tomasz Wójtowicz, Karolina Jakóbik
article en

Abstract

This article aims to identify the differences in customer loyalty among generational groups in the context of electronic banking. The study is based on a survey that was conducted among 321 Polish respondents. Using correspondence analysis and chi-square tests, we confirmed statistically significant generational differences in loyalty; Generation Z showed the lowest loyalty levels, while Baby Boomers displayed the highest. By applying correspondence analysis – a rarely used method in this context – we revealed distinct loyalty patterns that were linked to generational traits. The findings suggest that banks should adopt age-differentiated loyalty strategies. For younger customers (particularly Millennials and Generation Z), personalised digital experiences, alignments with brand values, and emotional engagement may be key to improving their loyalty. In contrast, emphasising service reliability, long-term trust, and security is likely to be more effective for older generations such as Generation X and Baby Boomers. This study enhances both a theoretical understanding and practical strategies for customer retention in e-banking.

Acta Universitatis Lodziensis Folia oeconomicaVol. 3(372)
AGH University of Krakow (PL)
Openalex Percentile: Top 66%
Technology Adoption and User Behaviour
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