Industry 5.0 Adoption Among Heavy Machinery Producers: The Potential of Artificial Intelligence in Social Sustainability Facilitation
Valtonen, Alena; Saunila, Minna; Rantala, Tero; Ukko, Juhani (2023-11-26)
Post-print / Final draft
Valtonen, Alena
Saunila, Minna
Rantala, Tero
Ukko, Juhani
26.11.2023
21-44
Palgrave Macmillan, Cham
Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business
School of Engineering Science
Kaikki oikeudet pidätetään.
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20231201150624
https://urn.fi/URN:NBN:fi-fe20231201150624
Tiivistelmä
This chapter investigates the potential of artificial intelligence (AI) in generating social sustainability among operators of heavy machinery in an Industry 5.0 setting. The well-being of industrial workers is an integral part of social sustainability. The study adopted a qualitative multiple-case study strategy. The results reveal the main problems experienced by operators (cognitive and physical strain, safety-related concerns, and a skill gap) and provide examples of AI-powered solutions designed by the case companies that tackle these problems. The findings show that AI can provide several implications for social sustainability, such as improved health, safety, emotional and mental well-being, work efficiency as well as training and education. This research contributes to Industry 5.0 literature by providing evidence from the real industry environment to increase the social sustainability of organisations.
Lähdeviite
Valtonen, A., Saunila, M., Rantala, T., Ukko, J. (2024). Industry 5.0 Adoption Among Heavy Machinery Producers: The Potential of Artificial Intelligence in Social Sustainability Facilitation. In: Vrontis, D., Thrassou, A., Efthymiou, L., Weber, Y., Shams, S.M.R., Tsoukatos, E. (eds) Business for Sustainability, Volume II. Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-37365-7_2
Alkuperäinen verkko-osoite
https://link.springer.com/chapter/10.1007/978-3-031-37365-7_2Kokoelmat
- Tieteelliset julkaisut [1836]
