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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29876

A STUDY ON ARTIFICIAL INTELLIGENCE IN HR ANALYTICS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29876

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29876

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

B

B.Shivalakshmi

DS

Dr.Annes Sulthana

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Abstract

The phenomenon of AI has been widely studied in several areas. This paper is based on the use of artificial intelligence and its impact on HRM due to technological advancement in IT landscape. At present almost all companies are implementing AI in their functional areas to increase efficiency of employees in organization. AI role in HR domain starts with recruitment till performance appraisal of employees. The aim of the present research is to examine the relationship between artificial intelligence and Human resource functions in IT industry in Delhi/NCR location weather this relationship is moderated by innovativeness and ease of use at HR operations. This study was conducted among 115 HR professionals at various IT sector in Delhi/NCR region. A multiple regression method was used to test hypothesis and confirmed positive relationship between these two factors establishing about the increased use of AI at work results better HR functional performance. However AI has significant relationship with innovativeness and also with ease of use which reflects AI effects HR with innovations and ease of use. This study will give insights of Artificial intelligence which is coming as anew revolution in industry with new name Industry4.0.

KEYWORDS

Artificial Intelligence HR operations Innovation

Cite This Article

B.Shivalakshmi, Dr.Annes Sulthana, "A STUDY ON ARTIFICIAL INTELLIGENCE IN HR ANALYTICS," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024. https://doi.org/10.55041/IJSREM29876

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12/31/45380

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