Intelligent recruitment: how to identify, select, and retain talents from around the world using artificial intelligence.
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/59328DOI: 10.1016/j.techfore.2021.120822
ISSN: 0040-1625
Date
2021-04-30Bibliographic citation
Technological Forecasting and Social Change, 2021, v. 169
Keywords
E-recruitment
Artificial intelligence
Talent management
Social business
Serious game
MOOC
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
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.
Files in this item
Files | Size | Format |
|
---|---|---|---|
Intelligent_Allal-Cherif_TFSC_ ... | 532.2Kb |
|
Files | Size | Format |
|
---|---|---|---|
Intelligent_Allal-Cherif_TFSC_ ... | 532.2Kb |
|
Collections
- ECODIR - Artículos [94]