The Impact of Artificial Intelligence-Based Recruitment Tools on Talent Acquisition Efficiency and Candidate Experience

Artificial Intelligence (AI) is transforming recruitment by automating activities such as candidate sourcing, resume screening, candidate matching, interview scheduling, and communication. The present study, titled “The Impact of Artificial Intelligence-Based Recruitment Tools on Talent Acquisition Efficiency and Candidate Experience,” examines how AI-enabled recruitment technologies influence recruitment effectiveness and candidates’ overall hiring experience. A quantitative research approach was adopted, with primary data collected through a structured questionnaire from 100 respondents. The study focuses on three major variables: AI-Based Recruitment Tools, Talent Acquisition Efficiency, and Candidate Experience. The collected data was analyzed using descriptive statistics, reliability analysis, correlation, regression, and hypothesis testing. The findings indicate that AI-based recruitment tools have a positive and significant impact on Talent Acquisition Efficiency and Candidate Experience. AI contributes to faster recruitment, reduced administrative effort, improved recruiter productivity, timely communication, and streamlined hiring processes. The study concludes that combining AI-based technologies with appropriate human involvement can create a more efficient, responsive, and candidate-centric recruitment process.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21611113
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Artificial Intelligence-Based Recruitment Tools on Talent Acquisition Efficiency and Candidate Experience

Dr. Shreevamshi Shoba H N
Zenodo (CERN European Organization for Nuclear Research)
Employer Branding and e-HRM
article

The Impact of Artificial Intelligence-Based Recruitment Tools on Talent Acquisition Efficiency and Candidate Experience

Dr. Shreevamshi Shoba H N
article en

Abstract

Artificial Intelligence (AI) is transforming recruitment by automating activities such as candidate sourcing, resume screening, candidate matching, interview scheduling, and communication. The present study, titled “The Impact of Artificial Intelligence-Based Recruitment Tools on Talent Acquisition Efficiency and Candidate Experience,” examines how AI-enabled recruitment technologies influence recruitment effectiveness and candidates’ overall hiring experience. A quantitative research approach was adopted, with primary data collected through a structured questionnaire from 100 respondents. The study focuses on three major variables: AI-Based Recruitment Tools, Talent Acquisition Efficiency, and Candidate Experience. The collected data was analyzed using descriptive statistics, reliability analysis, correlation, regression, and hypothesis testing. The findings indicate that AI-based recruitment tools have a positive and significant impact on Talent Acquisition Efficiency and Candidate Experience. AI contributes to faster recruitment, reduced administrative effort, improved recruiter productivity, timely communication, and streamlined hiring processes. The study concludes that combining AI-based technologies with appropriate human involvement can create a more efficient, responsive, and candidate-centric recruitment process.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 5%
Employer Branding and e-HRM
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