Total Quality Management (Tqm) As A Predictor: An Empirical Study Of Tqm And Job Satisfaction Toward School Performance In Pakistan

Authors

  • Waqas Mahmood, Muzammila Akram, Amna Asghar, Nilofar Pervez, Sumera kanwal, Abderrahim Benlahcene, Siti Noor Ismail

Abstract

The aim of this research was to investigate the impact of Total Quality Management (TQM) practices on job satisfaction, specifically examining their influence across high and low performing schools. A sample of 346 teachers from 20 high schools participated in a survey to assess TQM implementation and job satisfaction levels. Utilizing a quantitative approach, data was collected using a questionnaire, and analyzed using SPSS version 25. Descriptive statistics were employed to examine TQM practices and job satisfaction levels, whil[1]e Pearson's correlation and Multiple Regression were used to explore relationships. Results revealed significant disparities in TQM practices between high and low performing schools, with the latter demonstrating lower levels of both TQM implementation and job satisfaction. Furthermore, the study found a positive correlation between TQM practices and job satisfaction, with TQM predicting a substantial proportion (40%) of job satisfaction variance. Notably, regression analysis identified employee participation, leadership, training and education, and customer focus as key predictors of job satisfaction. These findings contribute to the understanding of effective school management practices, advocating for the adoption of quality management principles to enhance overall school performance and teacher satisfaction.

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Published

2024-04-12

How to Cite

Waqas Mahmood, Muzammila Akram, Amna Asghar, Nilofar Pervez, Sumera kanwal, Abderrahim Benlahcene, Siti Noor Ismail. (2024). Total Quality Management (Tqm) As A Predictor: An Empirical Study Of Tqm And Job Satisfaction Toward School Performance In Pakistan . Migration Letters, 21(S9), 930–939. Retrieved from https://migrationletters.com/index.php/ml/article/view/10283

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