The impact of perceived fairness by recruitment specialists on their adoption of Artificial Intelligence
dc.contributor.advisor | Franco, P. | |
dc.contributor.author | Eskes, Zev | |
dc.date.issued | 2024-07-08 | |
dc.description.abstract | The use of Artificial Intelligence (AI), the ability of a machine to exhibit human-like skills, such as reasoning, learning and planning is becoming increasingly popular in the field of HR- Recruitment. While current literature has highlighted that AI in recruitment has some drawbacks, such as the risk of unfairness when relying solely on algorithms, little is yet known about how recruitment specialists perceive the fairness of AI and how this affects their adoption of AI. By using the practice theory as an enabling lens this study attempts to provide a new perspective on technological adoption, by investigating the meanings for recruitment specialists to adopt, the materials they use and the competencies they need to effectively adopt AI within their recruitment practices without compromising their perceived fairness of the process. Findings gathered from the semi-structured interviews and non-participatory netnographic research show that how recruitment specialists perceive the fairness of AI is key to their willingness to adopt this technology in their recruitment process. Recruitment specialists show reluctance to use AI because of concerns about fairness, bias and the lack of human empathy in decision-making. While acknowledging the potential efficiency benefits, they underline that AI tools should mainly play a supporting role, with final decisions and human interactions remaining central. Maintaining a human approach is crucial for the acceptance and efficient adoption of AI in recruitment practices. Future research can integrate these considerations into existing theories of adoption and develop new frameworks that account for these ethical and fairness factors. Finally, practical implications show how recruitment specialists, innovators and entrepreneurs can gain insights on how to effectively streamline recruiting practices by adopting AI tools without compromising the fairness of the process. | |
dc.identifier.uri | https://theses.ubn.ru.nl/handle/123456789/17527 | |
dc.language.iso | en | |
dc.thesis.faculty | Faculteit der Managementwetenschappen | |
dc.thesis.specialisation | specialisations::Faculteit der Managementwetenschappen::Master Business Administration::Innovation and Entrepreneurship | |
dc.thesis.studyprogramme | studyprogrammes::Faculteit der Managementwetenschappen::Master Business Administration | |
dc.thesis.type | Master | |
dc.title | The impact of perceived fairness by recruitment specialists on their adoption of Artificial Intelligence |
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