Exploring the Factors of Job Satisfaction in the Context of Technology Usage and their Influence on the Organizational Performance of Employees across Paper Manufacturing Industries in Tamil Nadu

Authors

  • Srinidhi V., J. Mohamed Ali

Keywords:

Job Satisfaction (JS), Technology usage, Organizational performance (OP), Remuneration. Quality of work, Promotion, Supervision, Teamwork

Abstract

This study investigates the impact of various factors influencing job satisfaction on the organizational performance of employees across paper manufacturing industries. Job satisfaction is a critical component of employee engagement and productivity, directly influencing organizational outcomes. Factors such as “remuneration”, “quality of work-life”, “promotion”, “supervision” and “teamwork” are treated as the factors of job satisfaction (JS) and subsequently its influence on organizational performance (OP) is tested. Drawing upon a comprehensive literature review and empirical analysis, this research contributes to a deeper understanding of the dynamics within paper manufacturing industries. A survey was administered to a sample of 200 employees selected through the convenient sampling technique Data collected from employees in multiple paper manufacturing companies are analysed using regression analysis to assess the relationship between JS factors and OP. The findings provide valuable insights for HR practitioners and organizational leaders in designing strategies to enhance job satisfaction and optimize organizational performance in the paper manufacturing sector. By addressing key determinants of JS, organizations can foster a positive work environment, improve employee engagement, and ultimately achieve sustainable competitive advantage in this dynamic industry.

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Published

26.03.2024

How to Cite

Srinidhi V., J. (2024). Exploring the Factors of Job Satisfaction in the Context of Technology Usage and their Influence on the Organizational Performance of Employees across Paper Manufacturing Industries in Tamil Nadu. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 3449 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6043

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Research Article