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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

RECRUITER'S PERCEPTION OF ARTIFICIAL INTELLIGENCE BASED TOOLS IN RECRUITMENT AT VIRTUSA, CHENNAI

Shabir Ahmed M S

Department of Management Studies Saveetha Engineering College (Autonomous), Chennai, India

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Artificial intelligence (AI) has rapidly permeated the domain of human resource management, transforming traditional recruitment processes through intelligent automation, predictive analytics, and data-driven candidate assessment. This study investigates the perceptions of recruiters at Virtusa, Chennai, regarding the adoption, utility, effectiveness, and challenges associated with AI-based recruitment tools. A structured questionnaire survey was administered to 100 recruitment professionals comprising HR recruiters, talent acquisition specialists, senior recruiters, and HR managers. The study evaluates recruiter awareness and usage of AI tools, their perceived impact on candidate quality, time efficiency, workload reduction, selection accuracy, ease of integration, bias mitigation, and overall hiring efficiency. Key findings reveal that 91% of respondents possess awareness of AI-based recruitment tools, and 57% confirm active organizational use. Mean perception scores are highest for workload reduction (4.17/5) and time savings (3.90/5). Phenom and LinkedIn Recruiter AI are the most adopted platforms. Integration challenges (30%) and high costs (29%) are the foremost barriers. Critically, 61% of respondents disagree that AI will replace human recruiters, affirming the enduring centrality of human judgment in talent acquisition. The study contributes empirical evidence for the strategic positioning of AI in technology-sector recruitment and offers recommendations for optimizing AI tool adoption at Virtusa.

How to Cite this Paper

S, S. A. M. (2026). Recruiter's Perception of Artificial Intelligence Based Tools in Recruitment at Virtusa, Chennai. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.005

S, Shabir. "Recruiter's Perception of Artificial Intelligence Based Tools in Recruitment at Virtusa, Chennai." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.005.

S, Shabir. "Recruiter's Perception of Artificial Intelligence Based Tools in Recruitment at Virtusa, Chennai." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.005.

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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 03 2026
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