Investigation on how does the integration of AI in IT recruitment impact the efficiency and decision-making processes of recruiters in the IT industry

Sureshkumar, Prabhu (2025) Investigation on how does the integration of AI in IT recruitment impact the efficiency and decision-making processes of recruiters in the IT industry. Masters thesis, Dublin, National College of Ireland.

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Abstract

The dissertation explores how AI-powered tools are changing efficiency, quality of decision-making, and professional practice in the area of IT recruitment. Using twelve semi-structured interviews covering corporate, agency, and operational functions, the research uses reflexive thematic analysis to uncover repeated themes taking into account the positionality of the researcher. The structure includes strong ethical and governance safeguards, including GDPR compliant consent, anonymity measures, and auditability provisions.

The findings identify six interrelated themes: clear improvements in efficiency; a paradigm of human-artificial intelligence collaboration; technical and ethical limitations persisting; the evolution of recruiter role and skills needed; tensions around candidate experience and fairness; and the need for rigorous governance. Participants reported screen and source time reductions of 40% to 75% and noted issues of mis-ranking, lack of explainability, and maternity break or non-linear career path bias, highlighting the need for continued monitoring and human oversight.

Suggestions include accredited AI literacy pathways, bias audits in contracts, clear policies on "AI use," layered candidate transparency, outcome-balanced scorecards, and steering committees. The study enhances augmentation and sociotechnical theories and provides direction for leaders and regulators. The study's limitations encompass its sector-specific focus and qualitative scope; subsequent mixed-methods research should evaluate causality and transferability across various contexts.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Rossiter, Elaine UNSPECIFIED
Subjects:	Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management H Social Sciences > HD Industries. Land use. Labor > Specific Industries > I.T. Industry H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Recruitment
Divisions:	School of Business (- 2025) > Master of Arts in Human Resource Management
Depositing User:	Ciara O'Brien
Date Deposited:	09 Dec 2025 15:10
Last Modified:	09 Dec 2025 15:10
URI:	https://norma.ncirl.ie/id/eprint/9025

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