Articles

Work Motivation as a Mediator in the Influence of Work Environment and Burnout on Nurse Turnover at Husada Hospital

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Nurse turnover is one of the main challenges in various hospitals, including Husada Hospital. High turnover rates can disrupt the quality of health services, increase recruitment costs, and hinder continuity of services. This study aims to analyze how the work environment and burnout affect nurse turnover at Husada Hospital, and how work motivation can mediate the relationship. Data were collected through questionnaires filled out by 167 nurses at Husada Hospital, then analyzed using Structural Equation Modeling (SEM) to test the relationship between variables. The results showed that the work environment had a significant effect on work motivation, while burnout had a significant negative effect on work motivation. Work motivation was also shown to mediate the influence of the work environment and burnout on nurse turnover. These findings emphasize the importance of improving the quality of the work environment and reducing burnout as an effort to increase nurse work motivation, which can ultimately reduce turnover. This study provides important implications for hospital management in designing policies that support nurse welfare in order to maintain workforce stability.

Generating Strategic Initiative to Improve Employee Engagement at PT Semar Sentinel Indonesia in the Post-Pandemic Era

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The COVID-19 pandemic has impacted the economy, leading to reduced reliance on consulting services by businesses aiming to save costs. Consulting firms, including those in the construction sector, experienced significant challenges, resulting in bankruptcies and financial difficulties. The pandemic’s isolation policies affected remote workers, including consultants, causing work-related stress and decreasing productivity and work engagement. This research aims to investigate the factors contributing to high turnover at PT Semar Sentinel, with a specific focus on employee engagement. The study conducted primary data collection through semi-structured interviews with five employees from the company and the questions addressed factors that required improvement. The collected data was analyzed using NVivo 14 Software, employing deductive coding and content analysis techniques. The analysis revealed seven major variables: Psychological Availability, Brand, Leadership, Performance/Opportunity, The Work, The Basics, and Company Practices. Within these variables, specific factors affecting employee engagement were identified. The study found that variables such as People Management and Emotional Energy had low performance but high importance, indicating areas requiring improvement.