Academy of Marketing Studies Journal (Print ISSN: 1095-6298; Online ISSN: 1528-2678)

Abstract

A Systematic Literature Review on Recruiters’ Attitude in AI-Driven Recruitment Process using the PRISMA Framework in IT & ITES Sector

Author(s): Pavithra S, B Anupama

Artificial Intelligence has been implemented in recruitment process by many organizations to enhance its effectiveness. This paper explores the adoption of artificial intelligence (AI) technologies and its impact on recruitment in the IT and IT-Enabled Services (ITES) sectors. It also focuses on recruiter attitudes and improvements in organizational efficiency gains. Using models to understand the behavioral and attitudinal aspects of AI adoption among recruitment professionals. Methodology: A systematic literature review (SLR) was conducted using PRISMA framework. The databases like Scopus, ScienceDirect etc. were searched systematically for peer-reviewed journal articles which are published between 2019-2025. Findings: AI-powered recruitment tools enhance operational efficiency to a more significant extent such as 75% of time reduction due to automation in resume screening, candidates’ matching, and interview schedules. The adoption of AI by recruiters is influenced by factors such as perceived usefulness, perceived ease of use, loss of human touch, algorithmic bias, and ethical concerns, which collectively shape their attitudes toward adopting AI technologies in recruitment. Conclusion: The organizations must balance recruitment with technological efficiency by developing human-centric principles. It is important for the organization to provide AI training programs, transparent AI systems, and ethical frameworks for successful implementation.

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