Gender impact on customer satisfaction and loyalty in Vietnam’s FinTech-enabled banking services

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Type of the article: Research Article

Abstract
Vietnam’s FinTech-enabled lending market has expanded rapidly, yet concerns regarding trust, service quality, and regulatory legitimacy persist. Understanding gender-based differences in customer experiences is therefore important for sustainable sector development. This study examines the influence of gender on the satisfaction-loyalty mechanism in Vietnam’s FinTech personal lending context. A structured survey conducted between September 2023 and September 2024 produced 952 valid responses (47.3% male; 52.7% female) from active borrowers across the country’s three major regions. Measurement instruments, adapted from validated scales, demonstrated strong reliability (Cronbach’s alpha > 0.78) and validity (CR > 0.81; AVE > 0.51). Data were analyzed using covariance-based Structural Equation Modeling (CB-SEM) and multi-group analysis. The model achieved a satisfactory fit (CFI = 0.916; TLI = 0.904; RMSEA = 0.059). Six of seven hypotheses were supported: perceived usefulness (β = 0.181, p < 0.001), trust (β = 0.132, p < 0.001), service quality (β = 0.173, p < 0.001), social influence (β = 0.070, p = 0.019), and hedonic motivation (β = 0.082, p < 0.001) enhanced satisfaction, which strongly predicted loyalty (β = 0.514, p < 0.001). Ease of use showed no significant effect (β = 0.052, p = 0.159). Multi-group analysis revealed gender asymmetries: perceived usefulness and hedonic motivation were decisive for men, whereas trust, service quality, and social influence were more influential for women. These findings highlight the need for gender-sensitive strategies to strengthen loyalty and support inclusive growth in Vietnam’s regulated FinTech lending sector.

Acknowledgment
This study would not have been possible without the support and guidance of several individuals and organizations. We extend our sincere gratitude to International School – Vietnam National University, Hanoi; Thuyloi University; and Banking Academy of Vietnam for providing the academic environment and resources necessary for this research.
Furthermore, we would like to express our gratitude to our family and friends for their unwavering support and encouragement throughout this research journey.

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    • Figure 1. Research model
    • Table 1. Summary of research hypotheses
    • Table 2. Composite reliability and convergent validity of constructs
    • Table 3. Fornell and Larcker criterion evaluation
    • Table 4. Model fit evaluation results
    • Table 5. Structural path coefficients and hypothesis testing results
    • Table 6. Multi-group analysis of structural paths by gender
    • Table A1. Measurement scales and constructs
    • Table B1. Descriptive statistics of demographic characteristics and key variables
    • Investigation
      Huyen Thi Nguyen
    • Methodology
      Huyen Thi Nguyen
    • Software
      Huyen Thi Nguyen
    • Validation
      Huyen Thi Nguyen, Thu Thi Nguyen
    • Writing – original draft
      Huyen Thi Nguyen, Minh Huong To, Thu Thi Nguyen
    • Conceptualization
      Minh Huong To, Thu Thi Nguyen
    • Data curation
      Minh Huong To, Thu Thi Nguyen
    • Formal Analysis
      Minh Huong To
    • Resources
      Minh Huong To
    • Supervision
      Minh Huong To
    • Visualization
      Minh Huong To
    • Writing – review & editing
      Minh Huong To