Artificial Intelligence in Recruitment and Selection in Organisations

Rodrigues, Fedora Ida Xavier (2024) Artificial Intelligence in Recruitment and Selection in Organisations. Masters thesis, Dublin, National College of Ireland.

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Abstract

Organizations are under increasing pressure to reinvent and modernize as a result of globalization, IT and contemporary social developments. During the last 20 years, Artificial Intelligence (AI) technology has grown more popular in the corporate world. An element of human resource management, recruitment and selection takes a stand in this dissertation on the topic of artificial intelligence (AI) integration. An objective literature evaluation of the many writers’ arguments for and against AI adoption, its potential future use and the risks involved with AI in recruiting is presented in this dissertation.

The data from the independent samples t-test indicates that there exists a statistically significant difference in perceived effectiveness between traditional and AI-based recruitment methods. In detail, HR professionals believe that AI-based recruitment methods are more effective than traditional ones. AI-based means had a mean perceived effectiveness (2.62) than those of traditional-based (2.70) and AI efficiency in quality hire had a mean difference of (2.59) and that of traditional-based (2.70).

Item Type:	Thesis (Masters)
Supervisors:	Name Email Nyiawung, Julius 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 > HD28 Management. Industrial Management > Human Resource Management > Recruitment
Divisions:	School of Business > Master of Arts in Human Resource Management
Depositing User:	Ciara O'Brien
Date Deposited:	17 Jun 2025 16:07
Last Modified:	17 Jun 2025 16:07
URI:	https://norma.ncirl.ie/id/eprint/7878

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