EVALUATION OF NEW TECHNOLOGIES OF HR FUNCTIONS IN SELECTED INDIAN ORGANIZATION

Purpose- The purpose of this paper was to identify the significant effect of age, gender, academic qualification on human resource information systems, artificial intelligence, and e-human resources and to identify the significant effect of human resource information systems, artificial intelligence on e-human resources. Methodology- The study was causal in nature and a survey method was used. Employees from top-level, middle level and lower level of managers/executives from the manufacturing and service Sector were used as a sampling frame and individual respondent was used as sampling element. The valid sample size for research was 407. A self-designed questionnaire was used for data collection. Independent t-test and linear regression were used as a tool for data analysis. Findings- Questionnaire was highly reliable and Data was normally distributed. Independent t-test showed that male and female employees were not equally motivated by human resource information systems, age groups were not equally motivated by human resource information systems and qualified employees were equally motivated by human resource information systems. ‘R square' value represents the 51.8% variance explained between e -human resource and human resource information system and 68.7% variance explained between e-human resource and artificial intelligence. F value (435.821) at 0.000% degree of significance indicates excellent model fit from the table of ANOVA. F value (889.705), at 0.000% degree of significance, indicates a good model fit from the table of ANOVA. Result- There is no significant impact of New Technology of HR Functions like Human Resource Information System on E- Human Resource and no significant impact of New Technology of HR Functions like artificial intelligence on E - Human Resource.