Modelling of electronic human resource management (E-HRM) issues based cloud computing system by using quantitative technique

Hamad, Yasir and Aboobaider, Burhanuddin Mohd and Abd Ghanir, Mohd Khanapi and Doheir, Mohamed and Elzamly, Abdelrafe (2019) Modelling of electronic human resource management (E-HRM) issues based cloud computing system by using quantitative technique. RELIGACIÓN. REVISTA DE CIENCIAS SOCIALES Y HUMANIDADES, 4 (17). pp. 885-897. ISSN 2477-9083

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Abstract

The aim of the study is to identify critical factors leading to adopt EHRM based cloud system, and control methods for mitigating eHRM issues by using stepwise regression analysis. Indeed, the results show that a stepwise multiple regression model had the highest squared multiple correlations. The best models among all applied models are presented in the results. Furthermore, we identified the EHRM issues based cloud computing system by using the stepwise regression analysis. Therefore, Table 1 shows E-HRM Issues based cloud computing system identification checklist with control methods based on experienced IT and HR managers by using the quantitative technique. In stepwise regression analysis, the squared multiple correlations are between (0.724-0.262). However, the models estimate the multiple correlations between EHRM issues and control methods (0.851- 0.511), which are high. The factors indicate the goodness of fit, if the model fits perfectly, the model should have the sig. of value less than 0.05 and R2 is greater than 0.2. Consequently, a good model can be used to predict the relationship between the variables; it can be used to predict the numbers of control methods will be useful. Indeed, stepwise regression predicts the level of EHRM issues based on cloud computing with different combinations of control methods

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