Unlocking employer insights: Using large language models to explore human-centric aspects in the context of industry 5.0
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 well-being (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. • Industry 5.0 values human well-being, emphasizing its role in organizational practices. • Fine-tuned LLMs can extract well-being variables from job postings, giving insights. valuable insights across various domains. • UK employers prioritize self-realization, yet well-being isn’t often highlighted. • It’s unclear if employers’ focus on well-being is a lasting change or a short-term shift.
Authors
- Andrius Grybauskas (ORCID: https://orcid.org/0000-0002-3246-645X)
- Jeisson Cárdenas-Rubio
Institutions
- Kaunas University of Technology (LT)
- Institute for Employment Studies (GB)
- University of Warwick (GB)
Publication Details
- Journal
- Technological Forecasting and Social Change
- Published
- 2024-09-08
- DOI
- https://doi.org/10.1016/j.techfore.2024.123719
- Citations
- 13
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 4.54
Funders
- European Commission