This study analyzes the structural relationship between transformational leadership, work engagement, and mediators. Various mediators are derived from previous studies to derive the structure of the relationship between transformational leadership an...
This study analyzes the structural relationship between transformational leadership, work engagement, and mediators. Various mediators are derived from previous studies to derive the structure of the relationship between transformational leadership and work engagement. A meta-analytic structural equation model analyzes the structural relationship between the variables.
The selection of the paper was aimed at journals published since 2000, and 104 articles that reported two or more correlations in the relationship between transformational leadership, work engagement, and mediators were selected. The mediators presented in the chosen research are needed satisfaction, self-efficacy, and meaning in work. A meta-analytic structural equation modeling was conducted using the correlation coefficients between classified transformational leadership, mediators, and work engagement.
As a result, the average direct effect size between work engagement and antecedent variables was in the order of transformational leadership (.496), need satisfaction (.426), meaning in work (.310), and self-efficacy (.204). Among the various direct effects, including mediators, transformational leadership showed the highest effect, indicating the highest positive impact on work engagement. In addition, A structural relationship between work engagement and antecedent factors was established, and a structural equation model was constructed. The average indirect effect size between work engagement and antecedent variables was in the order of transformational leadership-need satisfaction (.496), transformational leadership-meaning in work (.426). Self-efficacy had no indirect effect between transformational leadership and work engagement.
The MASEM results differed from the meta-analysis results, suggesting that the effect size of the two variables tends to be overestimated, and the relational role affecting the dependent variable can be distorted. The MASEM shows the factors' total, direct, and indirect effects. In future studies, it is necessary to devise a plan to increase the work engagement of organizational members by prescribing various leadership techniques and programs according to regional characteristics.