Unlocking employer insights: Using large language models to explore human-centric aspects in the context of industry 5.0
Andrius Grybauskas, Jeisson Cárdenas-Rubio
Abstract
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.