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Partial Least Square Structural Equation Model “PLS-SEM” to Predict Total Quality Management in UAE Higher Education: A Comprehensive Framework for Organizational Performance Enhancement Cover

Partial Least Square Structural Equation Model “PLS-SEM” to Predict Total Quality Management in UAE Higher Education: A Comprehensive Framework for Organizational Performance Enhancement

Open Access
|Nov 2024

Figures & Tables

Figure 1.

Proposed theoretical framework for the research (Source: Authors’ own research)
Proposed theoretical framework for the research (Source: Authors’ own research)

Figure 2.

Factor loading values for the proposed theoretical framework
(Source: Authors’ own research)
Factor loading values for the proposed theoretical framework (Source: Authors’ own research)

Research gap and objective for the study (Source: Authors’ own research)

Research groupResearch objectives
RG1: There appears to be a paucity of research on the conceptual framework for HEIs TQM implementation, particularly from the aspect of the UAERO1: Create a theoretical framework for HEIs employing TQM principles
RO2: Conduct a detailed analysis and offer adaption methods

Factors adopted for variables of proposed theoretical framework (Source: Authors’ own research)

VariableFactors’ classificationFactors’ description
TQMTQM 1Process approach
TQM 2Commitment and leadership
TQM 3Customer focus
TQM 4Staff competence
SQSQ1Academic procedures
SQ2Nonacademic procedures
SSSS1Staff competence
SS2Faculty competence
ESES1Work atmosphere
ES2Employee happiness
OPOP1Research output
OP2Teaching efficacy
OP3Community involvement

Discriminant validity using HTMT (Source: Authors’ own research)

VariableEmployee satisfactionOrganizational performanceService qualityStudent satisfactionTQM
Employee satisfaction-----
Organizational performance0.153----
Service quality0.6780.410---
Student satisfaction0.6890.2020.647--
TQM0.5920.2080.6830.460-

Convergent validity using CR and AVE (Source: Authors’ own research)

VariableComposite reliabilityAverage variance extracted (AVE)
Employee satisfaction0.8950.810
Organizational performance0.8360.719
Service quality0.8530.659
Student satisfaction1.0001.000
TQM0.8520.660
DOI: https://doi.org/10.2478/fman-2024-0015 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Language: English
Page range: 247 - 258
Published on: Nov 6, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Babeet GUPTA, Riktesh SRIVASTAVA, Harish UC, Ahmed ABURAYYA, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.