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Apurva Shaurya

Biographic Data

ID10157512
NAMEApurva Shaurya
GIVEN NAMESApurva
FAMILY NAMEShaurya
SIGNATURESHAURYA A
AFFILIATIONSUniversity of Bridgeport
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Impact of Artificial Intelligence on HR practices in the UAE

    Open Access•Abhilasha Singh, Apurva Shaurya•ARTICLE•Humanities and Social Sciences…•2021

    Social trends and information technology are creating pressure, resulting in organizations being forced to update and recreate themselves. Against this backdrop there is an increasing trend to adopt artificial intelligence technologies. This study aims to explore and investigate the effect of Artificial Intelligence (AI) on Human Resources (HR) practices in UAE companies with the help of mixed-method design. A mixed-method design was applied to e…

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  • Impact of Artificial Intelligence on HR practices in the UAE

    Open Access•Abhilasha Singh, Apurva Shaurya•ARTICLE•Humanities and Social Sciences…•2021

    Social trends and information technology are creating pressure, resulting in organizations being forced to update and recreate themselves. Against this backdrop there is an increasing trend to adopt artificial intelligence technologies. This study aims to explore and investigate the effect of Artificial Intelligence (AI) on Human Resources (HR) practices in UAE companies with the help of mixed-method design. A mixed-method design was applied to e…

AI and HR Technologies (1 work) · Artificial Intelligence (1 work) · Blockchain Technology Applications and Security (1 work) · Computer Science (1 work) · Digitization (1 work) · Human resources (1 work) · Knowledge management (1 work) · Machine learning (1 work) · Management (1 work) · Organizational and Employee Performance (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae