In this paper, the importance of confirmatory factor analysis in the study is highlighted this is in order to evaluate the suitability of the measurement model by conducting structural equation modeling. This research contains three main variables and five components, which are, organization performance and competitive advantage, electronic human resources management the five components it e-Recruitment,e-Selection,e-Training ,e-Learning,e-Compensation. Prior to modelling the structural model and executing Structural Equation Modeling (SEM), the study needs to validate all measurement models of latent constructs for Uni-dimensionality, Validity, and Reliability. This validation procedure is called Confirmatory Factor Analysis (CFA). CFA is one type of analytical factor and is used to test the consistency of the scale's construction with the researcher's understanding of the nature of this study. It is more efficient with the use of Convergent Validity, Discriminant Validity and Composite Reliability in the study analysis for the researcher to apply the result for further steps.
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Al-Hadban et al. (2024) studied this question.
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