Investigating the impact of faculty knowledge sharing on performance: The mediating role of job satisfaction in Egyptian universities

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Type of the article: Research Article

This study investigates the impact of faculty knowledge sharing on faculty performance, emphasizing the mediating role of job satisfaction within Egyptian universities. A quantitative, cross-sectional survey was conducted between September and October 2024, targeting 600 faculty members – both master’s and doctoral degree holders – across 48 public and private universities in various Egyptian regions. Data were collected using a structured questionnaire and analyzed with SPSS (version 27) and R software. Analytical methods included correlation analysis, multiple regression, and mediation analysis using bootstrapping techniques. The findings revealed that knowledge sharing significantly influences faculty performance (R² = 63.50%) and has a strong positive effect on job satisfaction (R² = 71.57%). Moreover, job satisfaction positively affects faculty performance (R² = 76.04%). The mediation model further confirmed that job satisfaction partially mediates the relationship between knowledge sharing and performance, with the overall model explaining 82.30% of the variance. These results highlight the importance of peer-based knowledge exchange in enhancing both job satisfaction and faculty performance. The study recommends that academic institutions adopt strategies that support collaborative knowledge practices and foster workplace satisfaction to drive performance improvement among faculty members.

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    • Figure 1. Conceptual framework
    • Figure 2. Structural model depicting job satisfaction as a mediating variable
    • Table 1. Summary of study variables and survey items
    • Table 2. Demographic characteristics of the study sample
    • Table 3. Reliability and validity of survey items by variable
    • Table 4. One-sample T-test results for individual questionnaire items
    • Table 5. One-sample T-test results for key study variables
    • Table 6. Pearson correlation coefficients among study variables
    • Table 7. Regression models summary
    • Table 8. Path coefficients and significance levels for mediation analysis
    • Table 9. Bootstrap estimates of total, direct, and indirect effects
    • Table 10. Summary of hypotheses and results
    • Table A1. List of universities and the number of questionnaires for each
    • Table B1. Section One: General Information about the Individual
    • Table B2. Section Two: Study Variables
    • Conceptualization
      Noha Ahmed
    • Data curation
      Noha Ahmed
    • Formal Analysis
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    • Funding acquisition
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    • Investigation
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    • Methodology
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    • Project administration
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    • Resources
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    • Software
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    • Supervision
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    • Validation
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    • Visualization
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    • Writing – original draft
      Noha Ahmed
    • Writing – review & editing
      Noha Ahmed