Assessing The Effectiveness of Talent Management Strategies in Private Sector Banking Environments

Abstract

The study focuses on talent management practices in private banking using SEM (Structural Equation Modeling) through AMOS software powered by SPSS. It analyzes the acquisition, promotion and retention of talent and then examines their impact on organizational performance. With the help of regression and descriptive statistical analyses, the interrelationships of the factors are explained in the research work. The regression model had weak explanatory power (limited) and still accounted for a large proportion of unexplained variance (explanation of variance is still minimal). SEM shows how complex latent variables are apparently related to each other, helping to develop optimal strategies. Descriptive data analysis provides an overview of important key metrics and allows the results to be used in the optimization of competence management.