Designing AI Model for Exploring the Dynamics of Job Satisfaction

Abstract

This research focuses on the critical role of job satisfaction in shaping the well-being of individual employees and the overall success of organizations across diverse sectors. It acknowledges the dynamic nature of job satisfaction, influenced by work-related elements, working conditions, career development and interpersonal dynamics. By unravelling these factors, the researchers seeks to provide actionable insights for both employees and employers. For employees, understanding the determinants of job satisfaction, empowers them to make informed decisions about their careers and work environments. Employers, in turn, can benefit from valuable insights to optimize workplace conditions and enhance employee satisfaction.  Ultimately, the present study was undertaken to examine the job satisfaction across different demographic groups, to identify important factors contributing job satisfaction and  to develop AI model for exploring the dynamics of job satisfaction. Convenience sampling method was used to collect data through Google Forms.  Statistical tools like t-test, Chi-square, Regression were used to analyze the data.  A satisfied workforce is more likely to be productive, innovative, and committed, contributing to organizational success. The findings hold the potential to suggest that organizations should focus on improving specific aspects of the work environment, such as training programs and working conditions, to enhance overall job satisfaction among employees that benefit both individual well-being and broader organizational goals.