How the Quality Management Systems Impacts the Organizational Effectiveness?: Application of PLS-SEM and fsQCA Approach

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Abstract

The aim of this study was to examine the impact of Quality Management (QM) enablers, such as leadership, people management, policy & strategy, and QM processes (educational, administrative), on the organizational effectiveness (OE)”. The data was collected from 365 heads and faculty professionals of Indian engineering educational institutions (EEIs). SmartPLS and fsQCA 3.0 software was used to test the relationships between the variables. The results were based on fuzzy qualitative comparative analysis (fsQCA), which looked at different combinations that could be used to improve OE. Earlier studies have mostly tried to look at the direct link between QM enablers and organizational effectiveness. Our results show, on the other hand, that QM processes act as a bridge between QM enablers and organizational effectiveness. There is hardly any research that has looked into how quality management enablers, quality management processes, and organizational effectiveness are linked. This study tries to figure out how they work together in EEIs. By using both direct and configurational methods, the study helps improve the quality of organizational (engineering education) matters. Analysis shows the fsQCA calibration procedure value of 0.50 which represents a crossover point between the two extremes. The consistency scores vary from 0.60 to 0.69 and that the consistency values of the three causal conditions are more than 0.65. The overall constancy of the solution was 0.81, with the full solution and a portion of the complete solution having constancy greater than or equal to 0.80. Finally, the use of fsQCA shows that there are many ways to improve quality policies, leadership and top management commitment, and quality management processes that lead to more effective organizations.

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Kumar, P., Singhal, S., & Kansal, J. (2023). How the Quality Management Systems Impacts the Organizational Effectiveness?: Application of PLS-SEM and fsQCA Approach. Evergreen, 10(2), 626–639. https://doi.org/10.5109/6792808

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