The influence of leadership styles on employees' organizational commi̇ntment and an appli̇cati̇on

Since ancient times, in spite of numerous studies on leadership, the leadership remains a mystery even today. Today's enterprises have begun to make efforts to understand the value of leadership in the face of increasingly competitive and changing environmental conditions. The style that the leader performed directly affects the behavior of its employees. The behaviors of the employee affected by the leader's style are shaped in that way. The purpose of that study is to search the relationship between leadership and the organizational commitment in the Social Insurance Institution which is one of the public institutions. This study is researching the impact of the leadership style of the managers of the institution on the employee commitment. The study consists of three parts: In the first part, leadership and management concepts defined, and focused on the styles they performed. In the second part, the concept of organizational commitment is also defined and emphasized the importance of this concept. Then the types of organizational commitment, the factors that affect organizational commitment and the consequences of organizational commitment are discussed. In the third part, by utilizing this theoretical knowledge, it is examined whether the style that the leader performed has effectiveness on the organization commitment of those who work in the Social Insurance Institution. To measure the relationship between these two concepts, a two-part survey has been organized. All data have been analyzed in the SPSS 22.0 package program. Representation of continuous data has been given with median (Minimum-Maximum) and (average ± standard deviation). Adaptation to the normal distribution of the data has been tested with Shapiro Wilk Test. Independent T Test and Anova Test have been used for continuous data that show normal distribution in the test. Mann-Whitney U Test and Kruksal Wallis Test have been used for continuous data that don't show normal distribution. The relationships between continuous variables have been analyzed with Spearman's Correlation Coefficient.