The Implementation of Structural Equation Modelling Partial Least Squares (SEM-PLS) to Examine the Mediation of Job Satisfaction in the Effect of Career Development and Work Engagement on Turnover Intention

ABSTRACT:This research aims to underscore the critical significance of employing StructuralEquation Modeling Partial Least Squares (SEM PLS) in investigating complex relationships within humanresources. In the intricate landscape of workforce dynamics, where variables such as career development, workengagement, and turnover intention intertwine, SEM PLS emerges as an indispensable analytical tool. Thisstudy navigates through the intricate web of latent constructs by adopting SEM PLS, allowing for a morenuanced understanding of the underlying mechanisms. The relevance of SEM PLS lies in its unparalleled abilityto model latent variables, offering a robust solution to the measurement of intangible constructs such as jobsatisfaction, work engagement, and turnover intention. Highlighted that SEM PLS not only accommodates thecomplexities of human resource phenomena but also offers flexibility in handling non-normal data distributions,a common characteristic of workforce datasets. Moreover, the utility of SEM PLS extends to its prowess incapturing interactions and mediating effects among variables. By employing SEM PLS, this research endeavorsto unravel the simultaneous influences of career development and work engagement on job satisfaction