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

g) Indirect (Mediating) Effect In order to test the mediating effects, this research employed the bootstrapping procedure and identified whether the direct relationship of HRIS and O.P through HCis statistically significant. According to Baron and Kenny’s (1986) mediation analysis, the researcher must first establish that there is statistical significance amid the dependent and independent variables. There must be a positive and significant relationship amid the relationship amid HRIS and O.P. Secondly, the researcher must show that there is a statistical significance amid the independent variable and the mediating variable. There must be a positive and significant correlation amid HCand O.P. Then, the researcher must illustrate a statistical significance amid the mediating variable and the dependent variable. There must be a positive and significant correlation amid HCand O.P. Lastly; researcher should look at the direct impact after controlling the mediating variable. If the presence of the mediator abolishes the straight relationship, it will be a full mediation; otherwise, mediation is partial or absent. The direct effect results Table8 confirm that: 1. The direct effect amid HRIS and O.P is statistically significant. 2. The direct effect amid HRIS and HC is statistically significant. 3. The direct effect amid HC and O.P is statistically significant. Table 8: Standardized Direct Effects Variable HRPAS HRIS HC HC 0.000 0.727 0.000 O.P 0.609 0.382 0.387 Table 9 and Table 10 exposes a statistically significant indirect impact of HRIS on O.P through HC (P = 0.003, P<0.05). The results of the mediation effect indicate that there is partial mediation effect of the HC amid the relationship of HRIS and O.P. Table 9: Standardized Indirect Effects Variable HRPAS HRIS HC HC 0.000 0.000 0.000 O.P 0.000 0.281 0.000 Table 10: Mediating Significance Mediating Pass Significant (Pvalue) Effect HRIS on O.P through HC 0.003 h) Moderating Effects In order to test the moderating effect, this research using the double-mean-centering approach. (Crowson, 2020) and identified whether the moderating effect of Human Resources Performance Analytics on the relationship amid HRISand O.P are statistically significant. Table 11 reveals a statistically significant moderating impact of HR Performance Analytics on the relationship amid HRIS and O.P. The results of the moderating effect indicate that there is the low simple slope value is (0.852) and P value is (0.003) for the interaction, the med simple slope value is (0.356) and P value is (0.044) for the interaction and the high simple slope value is (-0.141) and P value is (0.386) for the interaction. Signaling that the slope for the interaction amid HRISand O.P is positive and significant in the low simple slope value (0.852) and P value (0.003) and the slope for the interaction amid HRISand O.P is positive and significant in the med simple slope value (0.356) and P value (0.044). Human Resources Information System Impact on Organization Performance: The Roles of Human Capital and HR Analytics 65 Global Journal of Management and Business Research Volume XXII Issue IV Version I Year 2022 ( ) A © 2022 Global Journals