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This study aims to determine the effect of fun at work, transformational leadership on work engagement and organizational citizenship behavior in UPT SDA Sempor civil servants. The variables in this study consisted of four types, namely fun at work and transformational leadership as independent variables, organizational citizenship behavior as the dependent variable and work engagement as mediating or intervening variables. The population in this study is UPT SDA Sempor civil servants, amounting to 30 people with saturated sampling techniques so that the total population is used to be sampled. Data collection techniques using a questionnaire, data analysis used was an instrument of validity and reliability, a classic assumption test, hypothesis testing, correlation analysis, multiple tests, and path analysis. Data management tools using SPSS 23.0 for windows. The test results of the coefficient of determination show that the substructural Adjusted R2 value of 0.668 means that 66.8% of the work engagement variable can be influenced by fun at work and transformational leadership and 33.2% is influenced by other variables outside the model. Meanwhile the substructural Adjusted R2 value of 0.778 means that 77.8% of the organizational citizenship behavior variable is influenced by fun at work, transformational leadership, and work engagement, and 22.2% is influenced by other variables outside the model. Based on the results of the analysis of path analysis tests, multiple tests and t tests that have been carried out it can be concluded that the high organizational citizenship behavior is influenced by fun at work, transformational leadership, and workengagement. While fun at work and transformational leadership can directly influence organizational citizenship behavior and work engagement can be used as a partial intervening variable.

jurnal ilmiah mahasiswa manajemen, bisnis dan akuntansi

Pengaruh Fun at Work dan Kepemimpinan Transformasional Terhadap Organizational Citizenship Behavior Melalui Work Engagement sebagai Variabel Intervening