Global Journal of Management and Business Research, A: Administration and Management, Volume 22 Issue 4

shows the degree to which a construct is actually different from other constructs (Hair et al., 2019). All Variances Extracted (AVE) should be more than 0.50 (Hair et al., 2019). Table 2 shows that AVE of the specific constructs (HRIS System and Information = 0.572, HRIS PEOU and Usefulness =0.690, HRIS Satisfaction=0.591, HRIS Success =0.590, O.P =0.571, Leadership and Motivation =0.620, Qualifications =0.614, Satisfaction and Creativity =0.605 and HR Performance Analytics =0.502) are more than 0.500. Generally, those measurement results are reasonable and recommend that, it is appropriate to proceed with the evaluation of the structural model. Table 2: Model Validity Measures Variables CR AVE HRIS System and Information 0.870 0.572 HRIS PEOU and Usefulness 0.869 0.690 HRIS Satisfaction 0.812 0.591 HRIS Success 0.878 0.590 O.P 0.936 0.571 Leadership and Motivation 0.891 0.620 Qualifications 0.864 0.614 Satisfaction and Creativity 0.821 0.605 HR Performance Analytics 0.751 0.502 b) Model Fit In SEM, there are different Fitness Indexes which reflect how fit is the model towards the data in hand. Nevertheless, there is no arrangement between researchers which fitness indexes to use Hair et al. (2019) recommend the use of at least one fitness index from each category of model fit. There are three model fit classes namely absolute fit, incremental fit, and parsimonious fit. Table 3 provides the Goodness of Fit (GOF) Measures. Table 3 : Goodness of Fit Measures Name of Category Goodness of Fit Measures Name of Index Level of Acceptance "Absolute-Fit" Chi-Square χ 2 ˃ 0.05 Root-Mean-Square-Error-of Approximation RMSEA < 0.08 "Parsimonious- Fit" Degrees-of-Freedom DF ≥ 0 Chi-Square/ Degrees of Freedom χ 2 /DF ≤ 3 "Incremental-Fit" Comparative Fit Index CFI ≥ 0 .90 Tucker Lewis Index TLI ≥ 0 .90 According to Byrne (2016), Model estimating is commonly achieved in research using Weighted Least Squares (WLS), Generalised Least Square (GLS), Asymptomatic Distribution Free (ADF), and Maximum Likelihood Estimating (MLE). However, the estimations of the parameters and the overall fit index of the measurement model are based on the maximum likelihood (ML) method. The basic conditions assumed for the use of ML estimation (Byrne, 2016) are met or closely approximated in the study. Table 4 provides a measurement model result – CFA. Table 4: Measurement Model Result Goodness of Fit Measures Name of index Model Result Remark Chi-Square χ 2 920.587 Accepted Degrees of Freedom DF 309 Accepted Human Resources Information System Impact on Organization Performance: The Roles of Human Capital and HR Analytics 62 Global Journal of Management and Business Research Volume XXII Issue IV Version I Year 2022 ( ) A © 2022 Global Journals