Open Access

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

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Nov 06, 2024

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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 group Research objectives
RG1: There appears to be a paucity of research on the conceptual framework for HEIs TQM implementation, particularly from the aspect of the UAE RO1: 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)

Variable Factors’ classification Factors’ description
TQM TQM 1 Process approach
TQM 2 Commitment and leadership
TQM 3 Customer focus
TQM 4 Staff competence
SQ SQ1 Academic procedures
SQ2 Nonacademic procedures
SS SS1 Staff competence
SS2 Faculty competence
ES ES1 Work atmosphere
ES2 Employee happiness
OP OP1 Research output
OP2 Teaching efficacy
OP3 Community involvement

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

Variable Employee satisfaction Organizational performance Service quality Student satisfaction TQM
Employee satisfaction - - - - -
Organizational performance 0.153 - - - -
Service quality 0.678 0.410 - - -
Student satisfaction 0.689 0.202 0.647 - -
TQM 0.592 0.208 0.683 0.460 -

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

Variable Composite reliability Average variance extracted (AVE)
Employee satisfaction 0.895 0.810
Organizational performance 0.836 0.719
Service quality 0.853 0.659
Student satisfaction 1.000 1.000
TQM 0.852 0.660