Service-driven capabilities as competitive advantage drivers: Evidence from Indonesian healthcare organizations

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Type of the article: Research Article

Abstract
The traditional way of differentiating services has reduced in a saturated market under Indonesia’s National Health Insurance, increasing competition across the health care sector. The objective of this study is to examine how organizational resources convert into sustainable competitive advantage when mediated by service capabilities, in Indonesian health care organizations. Data were collected through a self-administered survey from March to June 2023, from 158 accredited hospitals in Central Java, Indonesia. The data were analyzed using structural equation modeling with partial least squares (SEM-PLS).
The findings indicate that serving culture has an indirect influence on competitive advantage through service capabilities, and serving culture has no direct influence on competitive advantage. Service capabilities are a full mediator between serving culture and competitive advantage, while strategic HRM and workplace spirituality are partial mediators through service capabilities. All models exhibited strong explanatory power, and predictive relevance for service capabilities and competitive advantages. Hospital administrators may be able to take the results of this study, and create formal service capabilities to advance competitive positioning in Indonesia’s changing healthcare environment. The findings of this study confirm that intangible organizational resources should be operationalized through formal service capabilities to create sustainable business value, especially in standardized environments, where conventional forms of differentiation may not work. This paper adds to the understanding of how healthcare organizations can leverage their internal resources to achieve sustained competitive advantage in increasingly regulated and standardized environments.

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    • Figure 1. Conceptual model
    • Table 1. Outer loadings of measurement items
    • Table 2. Construct reliability assessment
    • Table 3. Convergent validity assessment: Average variance extracted (AVE)
    • Table 4. Discriminant validity assessment: Fornell-Larcker criterion
    • Table 5. Discriminant validity assessment: HTMT ratio
    • Table 6. Model fit indices
    • Table 7. Collinearity assessment: Inner VIF values
    • Table 8. Hypothesis testing results
    • Table 9. Coefficient of determination (R²)
    • Table 10. Predictive relevance (Q²)
    • Table 11. Mediation analysis: Direct, indirect, and total effects
    • Conceptualization
      Kristiana Susilowati
    • Data curation
      Kristiana Susilowati
    • Investigation
      Kristiana Susilowati, Lieli Suharti, Agus Sugiarto
    • Methodology
      Kristiana Susilowati, Lieli Suharti, Agus Sugiarto
    • Resources
      Kristiana Susilowati
    • Validation
      Kristiana Susilowati, Lieli Suharti, Agus Sugiarto
    • Visualization
      Kristiana Susilowati
    • Writing – original draft
      Kristiana Susilowati
    • Writing – review & editing
      Kristiana Susilowati, Lieli Suharti, Agus Sugiarto
    • Formal Analysis
      Lieli Suharti, Agus Sugiarto
    • Supervision
      Lieli Suharti, Agus Sugiarto