Dimensional structure, scale development and impact effect testing of platform-based human resource management

Abstract

This paper first constructs an analytical model of platform-based human resource management, where the series of independent variables and the series of dependent variables are grayed out by multiplying each variable by its whiteness at different time series points. The Cholesky method is employed to solve for the regression parameters, and the original dependent variable series and its predicted value series are gathered to calculate the error estimates. Finally, the model was used to analyze the dimensional structure and test the effect of platform-based HRM. =0.31, p0.001, the perception of continuous platform-based HRM was significantly and positively related to job performance, as demonstrated by the results. The perception of continuous platformed HRM is significantly and positively related to psychological capital β=0.54, p<0.001. This paper provides a theoretical guide for HRM in platformed companies and a conceptual model and measurement tools for studying platformed HRM.

Keywords

• cholesky method
• gray multivariate linear
• gray processing transform
• predictive value series
• human resources
• 97e10