Transformational leadership, emotional intelligence, and innovative work behavior: Mediating roles of knowledge sharing at public hospitals in Indonesia


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Innovative behavior refers to the deliberate engagement in activities to generate and embrace novel ideas, concepts, or approaches to execute and accomplish tasks effectively. This study aims to investigate the impact of transformational leadership and emotional intelligence on innovative work behavior through knowledge sharing. The research population was employees in several public hospitals in Medan, North Sumatra, Indonesia. This quantitative study used survey methodology by sending questionnaires to administrative employees of public hospitals. The samples for this study consisted of 129 administrative employees with a minimum of one year of service at various public hospitals. The investigation employed a Likert scale questionnaire to gather data, which were subsequently analyzed utilizing SEM-PLS in conjunction with SmartPLS 4.0 software. The findings of this study indicate the influence between transformational leadership and emotional intelligence on knowledge sharing (p < 0.05) and innovative work behavior (p < 0.05). In addition, knowledge sharing affects innovative work behavior (p < 0.05). Knowledge sharing mediates the influence of transformational leadership on innovative work behavior (p < 0.05), and knowledge sharing mediates the influence of emotional intelligence on innovative work behavior (p < 0.05).

The funding for this study was provided by the budget allocated to Universitas Muhammadiyah Sumatera Utara for the fiscal year 2023. Hence, we express our profound appreciation to the Rectorate of Universitas Muhammadiyah Sumatera Utara and the Institute for Research and Community Service (LPPM) of Universitas Muhammadiyah Sumatera Utara.

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    • Figure 1. Conceptual model
    • Table 1. Cross-loading
    • Table 2. Fornell-Larcker criterion
    • Table 3. Heterotrait-monotrait ratio (HTMT)
    • Table 4. Cronbach’s alpha and construct reliability
    • Table 5. Average variance extracted
    • Table 6. R-square
    • Table 7. Path coefficients
    • Table 8. Indirect effects
    • Conceptualization
      Rahmad Bahagia
    • Formal Analysis
      Rahmad Bahagia, Rini Astuti
    • Methodology
      Rahmad Bahagia, Rini Astuti
    • Supervision
      Rahmad Bahagia, Rini Astuti
    • Validation
      Rahmad Bahagia
    • Writing – original draft
      Rahmad Bahagia
    • Writing – review & editing
      Rahmad Bahagia, Raihanah Daulay, Nel Arianty, Rini Astuti
    • Funding acquisition
      Raihanah Daulay
    • Data curation
      Raihanah Daulay, Nel Arianty
    • Investigation
      Raihanah Daulay, Nel Arianty, Rini Astuti
    • Resources
      Raihanah Daulay
    • Visualization
      Raihanah Daulay, Nel Arianty
    • Project administration
      Nel Arianty
    • Software
      Rini Astuti