Key Work Organization and Job Content Resources as Predictors of Work Engagement in the Lithuanian Education and Science Sector: A Sustainability Perspective

Background: Sustainability in education requires creating a supportive working environment that promotes the well-being, motivation, and professional development of employees in the education and science sector. From the perspective of sustainable human resource development in the education and science sector, it is essential to identify job resources that are positively associated with work engagement, as emphasized in the Job Demands-Resources (JD-R) model. The aim of this paper is to examine whether three key work organization and job content resources (influence at work, possibilities for development, and meaning of work) predict work engagement among employees in the Lithuanian education and science sector from a sustainability perspective. Methods: Based on the JD-R model, this study applied a quantitative research design. Data were collected through a structured written questionnaire completed by 446 employees in the Lithuanian education and science sector. The relationships between key work organization and job content resources and work engagement were examined using hierarchical multiple regression analysis, with gender, age, and position included as control variables. Results: The hierarchical regression analysis showed that meaning of work and influence at work remained statistically significant positive predictors of work engagement after controlling for gender, age, and position, whereas possibilities for development showed a positive but non-significant tendency in the controlled model. These findings are consistent with the Job Demands-Resources theory and can be interpreted from the perspective of the UNESCO Education for Sustainable Development framework, which emphasizes the importance of empowering teachers, scientists and other employees in the education and science sector, fostering continuous improvement, and connecting their work to a broader educational and societal purpose. Conclusions: The hierarchical regression analysis indicates that meaning of work and influence at work are the most stable predictors of work engagement in the education and science sector from a sustainability perspective. This study contributes to the literature by applying the JD-R model through a sustainability lens in the education and science sector. The results provide new insights into how influence at work, possibilities for development, and meaning of work can be interpreted as sustainability-oriented job resources associated with work engagement in the education and science sector.