BIBLIOMETRIC ANALYSIS OF JOB SATISFACTION FACTORS

The relevance of this study is due to the increasing need to develop effective personnel management strategies, particularly in light of personnel shortages and shifts in employment structure. The subject of this research is the components of job satisfaction (JS) and the factors (determinants) that influence it. The goal of this paper is to identify the key determinants of JS through a bibliometric analysis and a systematic review of existing research. To achieve these goals, we systematically approached the following tasks: defining and categorizing JS; positioning JS within the broader field of labor economics; exploring JS as a subject for mathematical modeling; and identifying and grouping the factors that affect JS. The scientific novelty of this research lies in the integration of meta-analysis and bibliometric methods to pinpoint the most significant factors influencing JS, as well as in applying the demandresources model for their classification. The research methods include systematic review, bibliometric analysis, systematization, classification, and grouping. The findings confirm that JS is multifaceted and highlight the importance of balancing job demands with the resources provided by the organization.