Do the qualities of transformational leadership influence employees’ job engagement? A survey of the Indian power sector

  • Received November 5, 2022;
    Accepted December 22, 2022;
    Published December 29, 2022
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.20(4).2022.46
  • Article Info
    Volume 20 2022, Issue #4, pp. 614-625
  • TO CITE АНОТАЦІЯ
  • Cited by
    5 articles
  • 463 Views
  • 143 Downloads

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

The pandemic has put a toll on businesses across the globe, especially power generation as an essential service. The role of leadership is exemplary in driving job engagement in the power sector. The study aims to explore the impact of a leader’s inspirational motivation and individualized consideration on employee job engagement in the Indian power sector.
This study is quantitative exploratory research. Using a validated questionnaire, 444 survey responses were taken from executives of major Indian electricity generation utilities. Inspirational motivation and individualized consideration were taken as independent variables, while employee engagement and its components were taken as dependent variables. Statistical methods of simple and multiple correlations were performed using SPSS version 25.
According to the findings, the components of transformational leadership have a positive and significant impact on employee engagement (r = 0.463) and its facets of vigor (r = 0.425), dedication (r = 0.455), and absorption (r = 0.267), respectively. In addition, the finding outlines that transformational leaders propagate their high power and enthusiasm to their workers through inspirational motivation to increase their job engagement. The paper also highlights the role of a leader as a coach and mentor through individualized consideration to cater to followers’ need for growth and achievement. These findings expand the literature on leadership and employee engagement in the Indian power sector.

view full abstract hide full abstract
    • Table 1. Demographic profile of respondents
    • Table 2. Reliability statistics
    • Table 3. Means, SDs and correlations
    • Table 4. Model summary for H02
    • Table 5. ANOVA for H02
    • Table 6. Coefficients for H02
    • Table 7. Model summary for H03
    • Table 8. ANOVA for H03
    • Table 9. Coefficients for H03
    • Table 10. Model summary for H04
    • Table 11. ANOVA for H04
    • Table 12. Coefficients for H04
    • Conceptualization
      Anoop Kumar
    • Data curation
      Anoop Kumar
    • Investigation
      Anoop Kumar
    • Methodology
      Anoop Kumar
    • Writing – original draft
      Anoop Kumar, Shikha Kapoor, Sandeep Kumar Gupta
    • Writing – review & editing
      Anoop Kumar, Shikha Kapoor, Sandeep Kumar Gupta
    • Formal Analysis
      Shikha Kapoor, Sandeep Kumar Gupta
    • Supervision
      Shikha Kapoor, Sandeep Kumar Gupta
    • Project administration
      Sandeep Kumar Gupta
    • Resources
      Sandeep Kumar Gupta