| Title |
Unlocking employer insights: Using large language models to explore human-centric aspects in the context of industry 5.0 / |
| Authors |
Grybauskas, Andrius ; Cárdenas-Rubio, Jeisson |
| DOI |
10.1016/j.techfore.2024.123719 |
| Full Text |
|
| Is Part of |
Technological forecasting and social change.. New York : Elsevier. 2024, vol. 208, art. no. 123719, p. 1-22.. ISSN 0040-1625. eISSN 1873-5509 |
| Keywords [eng] |
industry 5.0 ; job vacancies ; LLM ; well-being ; human-centricity |
| Abstract [eng] |
This paper aims to enhance the understanding of Industry 5.0 by introducing an innovative AI-based methodology that proficiently maps employer expressions related to well-being using job postings. This process involves creating a comprehensive dictionary of well-being expressions, which is then compared with existing academic literature. This approach facilitates empirical well-being analysis from employers’ perspectives. Bridging theoretical and practical realms, we offer valuable insights to academia and industry about wellbeing (human-centricity) interpretation by employers. The findings highlight UK employers’ prioritisation of self-realisation and a positive work atmosphere to attract job seekers. Nonetheless, many vacancies do not explicitly emphasise well-being to attract potential workers. |
| Published |
New York : Elsevier |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
