The effect of social CRM capability components on service innovation in Vietnamese commercial banks: The mediating role of customer knowledge

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Type of the article: Research Article

Abstract
Commercial banks invest heavily in social media to manage customer relationships; however, it remains unclear which components of social CRM capability drive service innovation and through what mechanism. This study aims to determine how each component of social CRM capability – information generation, information dissemination, and market responsiveness – affects service innovation in Vietnamese commercial banks, and to what extent customer knowledge mediates these effects. In May 2026, an online questionnaire was distributed among 800 managers and specialists who operate social media channels and develop services at Vietnamese commercial banks; 372 valid responses were analyzed by partial least squares structural equation modeling. Market responsiveness has the largest direct effect on service innovation (β = 0.225, p < 0.001); information dissemination has a weaker direct effect (β = 0.146, p = 0.010), whereas information generation has no direct effect (β = 0.043, p = 0.418) and operates entirely through customer knowledge (indirect effect = 0.084). Information dissemination carries the largest coefficient on customer knowledge (β = 0.310, p < 0.001), and customer knowledge in turn positively affects service innovation (β = 0.362, p < 0.001). The model explains 35.4% of the variance in customer knowledge and 40.1% of the variance in service innovation. Bootstrap tests show only the advantage of market responsiveness over information generation to be significant. Banks should therefore treat responsiveness and cross-functional dissemination as complements rather than alternatives.

Acknowledgment
This research is partly funded by the Industrial University of Ho Chi Minh City and the University of Finance – Marketing.

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    • Figure 1. Proposed research model
    • Figure 2. Structural model results
    • Table 1. Profile of the 372 survey respondents
    • Table 2. Means, standard deviations, and correlation matrix of the study constructs (n = 372)
    • Table 3. Measurement model assessment
    • Table 4. Discriminant validity assessment using the HTMT criterion
    • Table 5. Hypothesis testing results
    • Table A1. Measurement items
    • Conceptualization
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Data curation
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Formal Analysis
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Funding acquisition
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Investigation
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Methodology
      Nguyen Ha Thach
    • Project administration
      Nguyen Ha Thach
    • Resources
      Nguyen Ha Thach
    • Software
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Supervision
      Nguyen Ha Thach
    • Validation
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Visualization
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Writing – original draft
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na
    • Writing – review & editing
      Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Le Ha Thanh Na