Digital transformation strategy and faculty performance in Omani universities: The mediating role of digital transformation

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Type of the article: Research Article

Abstract
Digital transformation has become a key driver of competitiveness in higher education, with Omani universities investing heavily in technology to enhance teaching, research, and institutional performance. Yet, empirical evidence on how these strategic efforts influence faculty outcomes remains limited. This study aims to demonstrate that effective digital strategies enhance faculty performance in Omani universities by leveraging digital transformation as a mediating mechanism, while overcoming challenges of readiness, organizational support, and execution.
A quantitative, cross-sectional survey was administered between April and May 2025 across public and private universities in Oman. The sample included academic staff with master’s and doctoral qualifications, who are most engaged in research, teaching innovation, and technological adoption. From 340 valid responses, reliability and validity analyses confirmed robust measures (Cronbach’s alpha = 0.748–0.985; validity coefficients > 0.865). Descriptive analysis showed that 63.2% of respondents held favorable views of institutional digital initiatives. Correlation analysis revealed strong positive relationships among digital transformation strategy, digital transformation, and faculty performance (r = 0.837–0.901, p < 0.001). Regression results indicated that the digital transformation strategy explained 74.65% of the variance in faculty performance, which rose to 90.47% with the inclusion of digital transformation. Bootstrapping further confirmed an indirect effect (β = 0.379, p < 0.001), supporting partial mediation.
This study provides timely evidence from 2025 that well-structured digital strategies significantly enhance faculty productivity, teaching quality, and research engagement. The findings emphasize embedding digital transformation within institutional strategies to strengthen academic performance and sustain competitiveness.

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    • Figure 1. Research model
    • Figure 2. Mediation model of digital transformation
    • Table 1. Demographic characteristics of the study sample
    • Table 2. Study variables, items, and codes
    • Table 3. Reliability and validity analysis of questionnaire statements
    • Table 4. Frequency distribution of responses
    • Table 5. Results of one-sample t-test for individual statements
    • Table 6. One-sample t-test analysis by variables
    • Table 7. Correlation matrix of study variables
    • Table 8. Regression model results
    • Table 9. Bootstrap estimates of effects
    • Table 10. Summary of hypothesis testing
    • Table A1. Section One: General information about the individual
    • Table A2. Section Two: Study variables
    • Conceptualization
      Noha Ahmed
    • Data curation
      Noha Ahmed
    • Formal Analysis
      Noha Ahmed
    • Funding acquisition
      Noha Ahmed
    • Investigation
      Noha Ahmed
    • Methodology
      Noha Ahmed
    • Project administration
      Noha Ahmed
    • Resources
      Noha Ahmed
    • Software
      Noha Ahmed
    • Validation
      Noha Ahmed
    • Visualization
      Noha Ahmed
    • Writing – original draft
      Noha Ahmed
    • Writing – review & editing
      Noha Ahmed