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• W4383109670 abstract "The study aimed at investigating the efficiency of A.I., H.R.I.S. and traditional Human resource practices towards Ability building, motivation and Opportunity facilitation. Further to identify the impact of A.M.O. through A.I. on Organizational Performance. The data was collected from 167 respondents belonging to 74 IT companies practising, A.I., H.R.I.S. and traditional Human resource practices. Herein the data was collected using a structured questionnaire using a simple random sampling technique. From the analysis performed it was understood that there is no significant association between designation and the type of system preferred. But, from the cross-tabulation and chart, it can be well perceived that the majority of the managers, executives and Supervisors prefer the A.I. system over HRIS and the Tradition HR system. Further, it was found that there is a significant difference in the AMO facilitation by the A.I., H.R.I.S. and Traditional system. Also, From the mean score analysis, it can be interpreted that the Ability, Motivation and Opportunity facilitation by A.I. is better compared to H.R.I.S. and the Traditional system. Furthermore, it was found that there is a significant impact of Ability, Motivational and Opportunities created through Artificial Intelligence on Organizational Performance." @default.
• W4383109670 created "2023-07-05" @default.
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• W4383109670 date "2023-05-09" @default.
• W4383109670 modified "2023-10-16" @default.
• W4383109670 title "Framework Analysing the Impact of Artificial Intelligence on Human Resource Management using AMO framework" @default.
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• W4383109670 doi "https://doi.org/10.1109/iciem59379.2023.10165698" @default.
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