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A Qualitative Study into The Practicality of AI as a tool for Recruitment and Selection

O'Connor, Ailbhe (2021) A Qualitative Study into The Practicality of AI as a tool for Recruitment and Selection. Masters thesis, Dublin, National College of Ireland.

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Abstract

Background: The digital era is changing the world of work. HR is going through significant change because of the impact and implementation of higher functioning technologies such as AI. Rapid advancements in technology are forcing organisations to adapt to digitisation of the workforce (Bondarouk and Brewster, 2016). Organisations are now required to embrace new technologies to remain competitive in the market (Lumi, 2020).

Objective: While the advantages of AI and automation for certain HR functions are well documented, it is clear that there is a significant gap in the research in relation to how HR practitioners feel about digitising the HR function (Bondarouk and Brewster, 2016; Berber et al., 2018; Stone et al., 2015). This research aims to fill this gap through further investigation.

Methods: Through inductive qualitative methods, the researcher seeks to explore the practicality of AI as a tool for R&S by interpreting the perceptions of HR practitioners. Semi-structured interviews will be analysed through thematic analysis (Braun and Clarke, 2006). The researcher will draw conclusions, discuss limitations, and provide recommendations for future research.

Results: Research findings identify that AI is practical as a tool for R&S, however, HR practitioners lack trust in the systems. This limits organisations from using AI to its full capacity. HR do not want to relinquish R&S tasks due to the necessity of hiring the ‘right-fit’ for the organisation.

Conclusions: These findings are significant as it will move research forward by providing information on how AI will change the role of a HR practitioner. Understanding AI systems and the encroachment of HR is going to help HR professionals to future-proof both department and practice.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Recruitment > E-Recruitment
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management
Divisions: School of Business > Master of Arts in Human Resource Management
Depositing User: Clara Chan
Date Deposited: 26 Jan 2022 16:30
Last Modified: 26 Jan 2022 16:30
URI: https://norma.ncirl.ie/id/eprint/5339

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