Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence

•Artificial intelligence improves identification, selection, and retention of talents.•MOOCs and serious games evaluate candidates’ soft skills, behaviors, and interactions.•Artificial intelligence allows a qualitative approach centered on feelings and values.•Big data analysis measures more criteri...

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Veröffentlicht in:Technological forecasting & social change 2021-08, Vol.169, p.120822, Article 120822
Hauptverfasser: Allal-Chérif, Oihab, Yela Aránega, Alba, Castaño Sánchez, Rafael
Format: Artikel
Sprache:eng
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Zusammenfassung:•Artificial intelligence improves identification, selection, and retention of talents.•MOOCs and serious games evaluate candidates’ soft skills, behaviors, and interactions.•Artificial intelligence allows a qualitative approach centered on feelings and values.•Big data analysis measures more criteria and eliminates unconscious recruiter bias.•E-recruitment implies a more open, social, human, and forward-looking vision. This research analyzes how digital technologies contribute to improving the successive stages of the recruitment process: identifying, selecting, and retaining talented people. E-recruitment is an emerging and polymorphous phenomenon that starts with identification of candidates on social networks, continues through gamification of recruitment and job interviews with chatbots, and ends by matching a candidate and a job using artificial intelligence. These technologies are particularly useful for social businesses looking to recruit not only skilled people, but above all employees who have behaviors and values that match their mission. The methodology is based on grounded theory, participant observation, and qualitative data collection. A multiple case study is designed to analyze, compare, and combine several technologies dedicated to recruitment: (1) a social network with LinkedIn, (2) a MOOC with Udacity, (3) a serious game called Reveal from L'Oréal, (4) a chatbot called Ari from TextRecruit, and (5) a massive data analysis matching system with Randstad.tech. The discussion examines the respective performance and limits of these tools and their convergence via a progressive integration that leads to an uberization of recruitment. Managerial recommendations are formulated to support recruiters in their adoption of e-recruitment.
ISSN:0040-1625
1873-5509
DOI:10.1016/j.techfore.2021.120822