About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
IoT 24(1):

Research Article

Artificial Intelligence Shaping Talent Intelligence and Talent Acquisition for Smart Employee Management

Download103 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eetiot.4642,
        author={Alka Agnihotri and K. H. Pavitra and Balamurugan Balusamy and Alka Maurya and Pratyush Bibhakar},
        title={Artificial Intelligence Shaping Talent Intelligence and Talent Acquisition for Smart Employee Management},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={IOT},
        year={2023},
        month={12},
        keywords={TI, Talent Intelligence, TA, Talent Acquisition, AI, Artificial Intelligence, ATS, Application Tracking System, Smart Employee Management},
        doi={10.4108/eetiot.4642}
    }
    
  • Alka Agnihotri
    K. H. Pavitra
    Balamurugan Balusamy
    Alka Maurya
    Pratyush Bibhakar
    Year: 2023
    Artificial Intelligence Shaping Talent Intelligence and Talent Acquisition for Smart Employee Management
    IOT
    EAI
    DOI: 10.4108/eetiot.4642
Alka Agnihotri1,*, K. H. Pavitra1, Balamurugan Balusamy2, Alka Maurya3, Pratyush Bibhakar1
  • 1: Galgotias University
  • 2: Shiv Nadar University
  • 3: Amity University
*Contact email: alkaapoorva@gmail.com

Abstract

INTRODUCTION: Due to the increased importance of artificial intelligence (AI) in talent intelligence (TI), and TI in talent acquisition (TA), this paper shows how AI improves the TI and consequently, the TA process of an organization. OBJECTIVES: The objectives of this paper are to understand the evolution of AI-driven TI concepts and explore the role of AI in TI. METHODS: Primary and secondary data were used for research and analysis was performed using SPSS. Primary data was collected through a survey of 20 HR managers from 20 companies in Delhi-NCR. These 20 managers were selected through random sampling method and from them the data on role of AI in TI and TA was collected using a questionnaire. Secondary data through literature review was used to explore TI. RESULTS: The paper not only brings out the role of AI in TI, but also elaborates the TI concept. From the survey data of HR managers, and secondary data, it is understood that AI contributes to TI of an organization, which helps in making TA more effective and efficient. CONCLUSION: AI enables better TI, which improves TA processes of an organization Thus, AI contributes to the TA of an organization.

Keywords
TI, Talent Intelligence, TA, Talent Acquisition, AI, Artificial Intelligence, ATS, Application Tracking System, Smart Employee Management
Received
2023-09-30
Accepted
2023-12-10
Published
2023-12-19
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.4642

Copyright © 2023 A. Agnihotri et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL