Impact of e-government maturity on public servants’ job satisfaction

  • Received April 17, 2022;
    Accepted September 8, 2022;
    Published September 30, 2022
  • Author(s)
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  • Article Info
    Volume 20 2022, Issue #3, pp. 501-515
  • Cited by
    2 articles

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This work is licensed under a Creative Commons Attribution 4.0 International License

While most e-government literature focuses on citizen satisfaction, that of public servants is widely ignored. The purpose of this study is to test the impact of e-government maturity level on public servants’ job satisfaction. Factors shaping the maturity level of e-government were investigated as well as those contributing to government employees’ satisfaction. Government employees working at Palestinian ministries were the target group of this study. They were the closest to the strategic use of e-government facilities. A questionnaire was designed and distributed via e-mails to a random sample of 159 employees; the survey questionnaire was divided into three parts. A 5-point Likert scale was adopted in this study. SPSS v26 was used to test the study hypotheses. The results reveal a significant impact of e-government maturity on the job satisfaction of public servants (R2 = 0.386, p = 0.000). Moreover, all dimensions of e-government maturity have a positive impact on job satisfaction. The results show the impact of e-government maturity dimensions on job satisfaction as follows: internal efficiency (R2 = 0.254, p = 0.000), external efficiency (R2 = 0.343, p = 0.000), good governance (R2 = 0.364, p = 0.000), and leadership (R2 = 0.261, p = 0.000). The findings also show no differences in job satisfaction levels among public servants due to demographic characteristics.

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    • Figure 1. Hypotheses testing results
    • Table 1. Means and standard deviations of study variables
    • Table 2. Descriptive statistics of participants’ characteristics
    • Table 3. Cronbach’s α test
    • Table 4. Pearson correlation test for e-government
    • Table 5. Person correlation test for job satisfaction
    • Table 6. Results of simple linear regression for H01
    • Table 7. ANOVA analysis for H01
    • Table 8. Coefficients of the impact of e-government on job satisfaction
    • Table 9. Simple linear regression results for H01.1
    • Table 10. Simple linear regression results for H01.2
    • Table 11. Simple linear regression results for H01.3
    • Table 12. Model summary of simple linear regression between leadership and job satisfaction
    • Table 13. Analysis of variance between leadership and job satisfaction
    • Table 14. Independent sample T-test
    • Table 15. One-way ANOVA test for education level
    • Table 16. One-way ANOVA test for ministry variable
    • Table A1. Questionnaire (Translated from Arabic)
    • Table A2. Correlation matrix
    • Conceptualization
      Emad Waladali, Abdelbaset Rabaiah
    • Data curation
      Emad Waladali, Abdelbaset Rabaiah
    • Formal Analysis
      Emad Waladali, Abdelbaset Rabaiah
    • Investigation
      Emad Waladali, Abdelbaset Rabaiah
    • Methodology
      Emad Waladali, Abdelbaset Rabaiah
    • Project administration
      Emad Waladali, Abdelbaset Rabaiah
    • Resources
      Emad Waladali
    • Software
      Emad Waladali, Abdelbaset Rabaiah
    • Supervision
      Emad Waladali, Abdelbaset Rabaiah
    • Validation
      Emad Waladali, Abdelbaset Rabaiah
    • Visualization
      Emad Waladali, Abdelbaset Rabaiah
    • Writing – original draft
      Emad Waladali, Abdelbaset Rabaiah
    • Writing – review & editing
      Emad Waladali, Abdelbaset Rabaiah