A PLS-SEM Approach for Analysing Job Satisfaction and Human Resource Practices in Indian Banking Sector

Abstract

In the economic growth of every country like India, the Indian financial sector plays a crucial role. However, employees in this industry are mainly not left to their job pleasure. This article seeks to identify the current work satisfaction criteria for bank employees in order to ensure the stable economic growth of India, and to advocate that regulatory authorities advance their degree of satisfaction. A total of 220 workers were randomly selected as examples for this study from the bank of India. The investigation was completed via a structured questionnaire. SPSS software has been utilised for the analysis of demographic information. Multivariate methods such as Structural Equation Modeling (SEM) were also utilised to analyse data to discover characteristics which are critical for the work satisfaction of bank employees using SmartPLS software. This survey shows that performance assessment, salaries, and bonuses significantly affect Bangladeshi banking workers’ job satisfaction. This article argues that both the management and regulatory bodies should guarantee performance evaluation and that the regulatory bodies for this industry should profit from salaries.