(Transformational Leadership, Person-Organization Fit and Job Satisfaction Relationship: A Research on Public Servants)

Abstract

Purpose – It is aimed to reveal relationships among transformational leadership, person-organization fit and job satisfaction in that research. Design/methodology/approach – Research data were collected by survey from 560 participants who work at a department of a ministry in Ankara. First of all, in that study validity and reliability analyses are done. Correlation and regression analyses are done both to reveal the relationships among related dependent and independent variables and to test hypotheses. Both Baron and Kenny and Hayes mediation models are used to show mediation effect. Findings – According to correlation analysis, there is a significant positive correlation among transformational leadership, person-organization fit and job satisfaction. As a result of regression analysis, transformational leadership has a meaningful effect on person-organization fit and job satisfaction and also person-organization fit has a meaningful effect on job satisfaction. However, research findings show that the effect of transformational leadership is partly mediated by person-organization fit in the effect on job satisfaction. Discussion – When the findings which are derived from 560 public employees working in a ministry that are evaluated, it is thought that central and rural management of ministry should consider on person-organization fit of its employees and do some actions to raise their job satisfaction levels by transformational attempts of today’s necessities. These kinds of organizations should select compatible and developable -of that compatibleness- individuals as they believe from the beginning of the recruitment process with a control focused approach. A leader, who is interested in individual problems of followers, praises and guides them, that affects their levels of job satisfaction incontrovertibly. For further studies, it may be useful for enriching the literature by revisiting related variables between public and private organizations comparatively.