The use of artificial intelligence in recruitment: a study of applicants’ perceptions
Liucci, Martina (A.A. 2020/2021) The use of artificial intelligence in recruitment: a study of applicants’ perceptions. Tesi di Laurea in International human resource management, Luiss Guido Carli, relatore Fabian Kurt Falk Homberg, pp. 114. [Master's Degree Thesis]
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Abstract/Index
Research background. Research relevance. Purpose of the study and research question. Literature review. Human resource management (HRM) and recrutiment. The traditional recrutiment and selection process. The rise of e-recrutiment. Current state and future trends in recruiment and selection. The concept of artificial intelligence (AI). The application of AI in recrutiment and selection. Theoretical model. Theoretical background: extended UTAUT model. Research framework and variables. Hypotheses development. The current state of application of AI in recruiment. Drivers of the introduction. AI-based tools for recruiment. Benefits of AI-based recruitment: company and applicants' perspective. Challenges of AI-based recruitment: company and applicants' perspective. Research methodology. Research strategy. Data collection and questionnaire design. Mesaurement of variables. Methods for data analysis. Sample description. Analysis and evaluation. Descriptive statistics and reliability measures. Correlation analysis. Inferential analysis. Discussion and implications. Study limitations and recommendations for future research.
References
Bibliografia: pp. 86-98.
Thesis Type: | Master's Degree Thesis |
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Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Management, English language (LM-77) |
Chair: | International human resource management |
Thesis Supervisor: | Homberg, Fabian Kurt Falk |
Thesis Co-Supervisor: | Laura, Luigi |
Academic Year: | 2020/2021 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 03 Dec 2021 16:20 |
Last Modified: | 03 Dec 2021 16:20 |
URI: | https://tesi.luiss.it/id/eprint/30870 |
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