Partial Least Square – Structural Equation Model for Effect of Employee Engagement on Job Satisfaction and Job Performance in Automobile Industries

  • Srividhy* D
  • et al.
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Abstract

The major challenges organizations facing today’s competitive world is diversified work force and ever changing environment and technology. It is, therefore, imperative to utilize the employees ‘capabilities to the maximum possible extent to achieve individual and organizational goals. In this perspective, it has been discussed that job satisfaction and employee motivation are wide influencer of employees’ performance. Employee dedication and commitment towards work leads to improved outcomes in performance, organizational productivity and profit. Employees are more loyal and satisfied to the organization when they get recognition from their employers. The understanding of organizations on the factors satisfying employees will lead to deal with the people and get the extra ordinary results from them. The employee engagement and business performances are complimentary to each other. Higher is the employee engagement then greater the business performance. The present research makes an attempt to investigate the concept of job satisfaction and its impact on performance among the employees in the automobile industry, which is one of the key drivers that boost the economic growth of the country. In the time of recessions, the survival of the organization depends on the fully engaged employee. There is no agreement between defining the employee engagement by the earlier researchers and also its impact on job satisfaction and performance. In this concern, this study is significant in the definition of employee engagement and to find its relationship with job satisfaction and job performance in automobile industry.

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Srividhy*, Dr. N., & Mahalakshmi, Ms. R. (2019). Partial Least Square – Structural Equation Model for Effect of Employee Engagement on Job Satisfaction and Job Performance in Automobile Industries. International Journal of Innovative Technology and Exploring Engineering, 9(2), 4725–4729. https://doi.org/10.35940/ijitee.b6602.129219

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