
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Enhancing Talent Acquisition Efficiency Using Artificial intelligence
Author(s) | Ms. S KANINMOZHI, Dr.C.Therasa, M.Sanjai Kumar |
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Country | India |
Abstract | The Recruiting landscape is rapidly evolving due to technological advancements, changing workforce dynamics, and a tight labour market. Integrating artificial intelligence (AI) into talent acquisition is transforming the way organizations attract, develop, and retain employees. This research explores the diverse role of AI in optimizing the talent acquisition process. This includes analysing recruiting personnel, Workforce Planning and Optimization, Automated Employee Onboarding and Training to improve AI decision making, reduce bias and increase operational efficiency in HR practice and this data can be improved for study Collected from 120 respondents through a structured questionnaire aimed at HR professionals, managers and employees across industries. This research highlights the AI-powered talent acquisition development approaches. Data driven and how to cover more Ultimately, it aligns with the organization's goals in a rapidly evolving business landscape |
Keywords | Talent Acquisition, Artificial Intelligence, Automated Employee Onboarding. |
Field | Business Administration |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-26 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.39752 |
Short DOI | https://doi.org/g892pv |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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