Psychological Capital and Job Demand on Job Burnt out in The Context of Supervisory Support
Abstract
This study aims to empirically analyze the influence of Psychological Capital and Job Demand on Job Burnout in the context of supervisory support. The research type used is Explanatory Research, which focuses on explaining the relationships between variables. The variables examined in this study include Job Burnout, Job Demand, Psychological Capital, and Supervisory Support. The data used in this study consists of primary and secondary data. Primary data was obtained through the distribution of questionnaires to respondents, while secondary data was obtained from relevant literature, related reports, and available documents. The data collection methods used include literature studies, observations, and questionnaire distribution. The sampling technique employed is non-probability sampling with a Purposive Sampling method, which selects respondents based on specific characteristics, namely having at least 5 years of work experience and being at least 25 years old. The sample size in this study is 130 respondents representing the entire human resources in the Customs and Excise Supervision and Services Office Type Madya Pabean a Semarang. Data analysis was performed using Structural Equation Modeling (SEM) with the Partial Least Square (PLS) approach. The results of the study indicate that Psychological Capital has a significant negative effect on Job Burnout, while Job Demand has a significant positive effect on Job Burnout. Furthermore, supervisory support does not moderate the effect of Psychological Capital on Job Burnout, suggesting that while supervisory support is important, internal factors such as Psychological Capital play a more significant role in reducing burnout. Good supervisory support can weaken the impact of Job Demands on Job Burnout, with constructive and creative support playing a key role in creating a healthier work environment.
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