Publicação
The application of artificial intelligence in recruitment
| Resumo: | In the current human resource management practice, AI has been increasingly valued. AI technology has evolved from simple automated resume screening to complex candidate evaluation, interviews, and talent matching. This technological progress not only greatly improves the efficiency of recruitment, and reduces labor costs, but also improves the quality and fairness of recruitment. With the increasing application of AI technology in recruitment, its specific impact and quality improvement process and how to maximize the benefits of these technologies have become important research topics. Through the review of relevant literature and the interpretation of linear regression analysis results,AI is the focus of this article, the challenges faced, and the strategies and suggestions to improve the application effect. Through in-depth analysis, this study presents a series of strategies aimed at improving technology maturity and system integration, improving data management practices, cultivating the culture of adaptation and continuous learning, developing comprehensive training and support programs, and implementing long-term monitoring and evaluation strategies, in order to maximize the application effect of artificial intelligence in recruitment. The implementation of these strategies can not only optimize the recruitment process and improve the efficiency and quality of recruitment but also promote the adaptation and application of emerging technologies by organizations to gain advantages in the competitive talent market. |
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| Autores principais: | Cao Qianyu |
| Assunto: | Inteligência artificial -- Artificial intelligence Recrutamento -- Recruitment Technology maturity System integration User acceptance Maturidade tecnológica Integração de sistemas Aceitação do utilizador |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | In the current human resource management practice, AI has been increasingly valued. AI technology has evolved from simple automated resume screening to complex candidate evaluation, interviews, and talent matching. This technological progress not only greatly improves the efficiency of recruitment, and reduces labor costs, but also improves the quality and fairness of recruitment. With the increasing application of AI technology in recruitment, its specific impact and quality improvement process and how to maximize the benefits of these technologies have become important research topics. Through the review of relevant literature and the interpretation of linear regression analysis results,AI is the focus of this article, the challenges faced, and the strategies and suggestions to improve the application effect. Through in-depth analysis, this study presents a series of strategies aimed at improving technology maturity and system integration, improving data management practices, cultivating the culture of adaptation and continuous learning, developing comprehensive training and support programs, and implementing long-term monitoring and evaluation strategies, in order to maximize the application effect of artificial intelligence in recruitment. The implementation of these strategies can not only optimize the recruitment process and improve the efficiency and quality of recruitment but also promote the adaptation and application of emerging technologies by organizations to gain advantages in the competitive talent market. |
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