The Role of AI In Digital Transformation in Talent Acquisition
Mohamed, Shafeeq and Nirmal dev, M (2026) The Role of AI In Digital Transformation in Talent Acquisition. Royal International Global Journal of Advance and Applied Rescarch, 3 (7): 1. pp. 13-15. ISSN 2998-4459
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Abstract
Artificial ntelligence (A) driving digial trangformation in talent acquisition across privae
business organizations by improving sourcing, screening, candidate engagement and data-driven hiring. This
study examines the role of Al in digitally transforming talent acquisition using primary data collected from
24 respondents. A quantitative research design with structured questionnaires was adopted. Findings indicate
Al significantly improves eiciency, speeds hiring, and enhances recruitment quality, while transparency and
human oversight remain important. A balanced human-Al approach is recommended.
Index Terms– Artificial Intelligence, Recruitmen, Candidate Experience, HR Analytics Introduction
Artificial Intelligence (AI) has become a important driver of transformation in
recruitment practices within private business organizations. AI-based tools such as resume
screening systems, chatbots, and automated interview platforms are increasingly used to streamline
hiring processes. These technologies reduce recruitment time, improve efficiency, and support data
driven decision-making.Candidate experience is a critical factor influencing organizational attractiveness and employer branding. It refers to the perceptions and reactions of applicants
throughout the recruitment process. While AI enhances operational efficiency, it also raises
concerns related to transparency, fairness, and reduced human interaction.
This study aims to assess candidate experience with Al-based recruitment systems and understand
how AI influences different stages of the hiring process.
| Item Type: | Article |
|---|---|
| Subjects: | Commerce > Human Resources |
| Domains: | Commerce |
| Depositing User: | IR Admin |
| Date Deposited: | 27 Aug 2026 09:50 |
| Last Modified: | 27 Aug 2026 10:07 |
| URI: | https://ir.vistas.ac.in/id/eprint/22126 |
