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The research paper aims to examine the mediating role of employee engagement in the relationship between emotional intelligence and change management. It focused on organizational leaders at a water utility company on the Copperbelt province of the Republic of Zambia. The study was driven by five research questions on what the relationship between employee engagement and emotional intelligence was; what the relationship between employee engagement and change management was; what the relationship between emotional intelligence and change management was; what the mediating role of employee engagement in the relationship between emotional intelligence and change management was; and, what the implication of the study was in the water sector in the Republic of Zambia. Four hypotheses were developed and tested using well established scales. The research employed both quantitative and qualitative methodology in its approach. A sample of 31 respondents was taken and data collected through a questionnaire with variables of interest being employee engagement as a mediator variable, emotional intelligence as an independent variable and change management as a dependent variable. The outcomes of the study indicated that employee engagement partially mediated the relationship between emotional intelligence and change management. The results also indicated that besides emotional intelligence and employee engagement being significantly related, they were also significantly related to change management. Implications of the results and opportunities for further research were then advanced.
"The Mediating Role of Employee Engagement in the Relationship Between Emotional Intelligence and Change Management", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.246 - 257, May-2022, Available :http://www.ijrti.org/papers/IJRTI2205042.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator