- Data, Statistics and AI for Well-Being of People and Organisations
- A cura di Luigi Fabbris, Alberto Franci, Pietro Renzi
Meeting senior workers' needs: An innovative mixed-method approach to design customized work-life balance strategies
- Donatella Bramanti
- Luisa Errichiello
- Greta Falavigna
- Sara Nanetti
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-1062-1.18
Literature and Research Questions Promoting healthy lives and well-being is a key priority in the European social agenda (SDG3). Demographic changes and ageing populations have heightened the urgency. Poor work-life balance (WLB) is linked to adverse health outcomes, highlighting the need to examine specific working conditions (Lunau et al., 2014). The present work analyses the determinants of work-life balance for the senior workers, analysing a unique and original ad-hoc survey. Starting from the questionnaire results, we propose an artificial intelligence (AI) approach to identify policies that enhance WLB satisfaction. Methodology This study builds on the results of an earlier and novel survey developed and administered to senior workers in Italy. The survey aimed at exploring how relational and social dynamics shape retirement plans and perceived WLB (Bramanti et al., 2025). Expanding on those insights, the present work adopts a hybrid-AI methodological approach to analyse WLB among senior workers in Italy. Rather than merely rely on survey data, it integrates econometric analysis with AI tools, allowing for a more nuanced understanding of the complex interactions between individual, familial, and occupational variables influencing WLB. Expected Results Drawing on data patterns and findings from the previous survey, we propose a web application enabling users to complete a brief assessment and receive personalized feedback regarding their WLB profile. The application also identifies the main drivers of WLB dissatisfaction, offering tailored recommendations for improvement and serving as a decision-support tool for policy design. Main Implications By highlighting the multifaceted nature of WLB among senior workers, this research advocates for the development of targeted policy instruments and personalized welfare interventions. Furthermore, the study underscores the importance of intersectoral collaborative action among stakeholders. In fact, after identifying senior workers’ needs, it is crucial that policymakers are equipped with actionable insights and the means to address them effectively.
- Keywords:
- work-life balance,
- artificial neural networks,
- senior workers,
- policy modeling,
Università Cattolica del Sacro Cuore, Italy - ORCID: 0000-0001-9910-216X
CNR - ISMed, The Institute for Studies on the Mediterranean, Italy - ORCID: 0000-0003-0410-0300
CNR-IRCrES, Research Institute on Sustainable Economic Growth of the National Research Council, Italy - ORCID: 0000-0002-6616-8397
Università Cattolica del Sacro Cuore, Milano, Italy - ORCID: 0000-0002-8864-9861
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Informazioni sul capitolo
Titolo del capitolo
Meeting senior workers' needs: An innovative mixed-method approach to design customized work-life balance strategies
Autori
Donatella Bramanti, Luisa Errichiello, Greta Falavigna, Sara Nanetti
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.18
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series