Abstract
In today’s rapidly evolving workplace, the imperative to study workers’ well-being has never been more apparent, considering both job-related risk factors and challenges posed by the digital transformation. Utilizing a large dataset from the recent European Working Conditions Telephone Survey (EWCTS) 2021, we explore the impact of physical and psychosocial risk factors on well-being and their interaction with the attributes of new forms of work brought by digitalization. Our methodological framework employs a suite of decision tree-based methods and sophisticated visual tools, designed to extract insights through a non- parametric approach. Findings reveal that increasing physical and emotional exhaustion and the need for recognition are predominant factors affecting employee well-being. Additionally, we find strong links between psychosocial risks, telework, and job locations.
Cite as:
Demaria, F., and Cavicchioli, M. (2024). Digitalization, work-related risk factors and well-being: importance and interactions from tree-based methods. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography III. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer. doi: 10.1007/978-3-031-64431-3_94 [ISBN: 9783031644306]