Abstract
Workplace well-being is increasingly recognised as crucial for the work performance of construction professionals. Consequently, identifying factors leading to well-being is essential for employers because this enables them to gauge the well-being of their workforce effectively. Such an assessment is crucial in facilitating pre-emptive measures to mitigate the detrimental impacts of suboptimal well-being on job performance. Existing research, particularly within the construction industry, has primarily focused on the direct outcomes of well-being and its general determinants. However, a significant gap remains in understanding the nuanced interplay of specific job-related factors (intrinsic to the work environment i.e., destructive leadership, perceived workload, and peer support) and personal factors (individual characteristics i.e., psychological capital and personal traits) contributing to well-being. This gap is especially pronounced in the context of how these factors interact within the unique environment of the construction sector. Through a critical examination of workplace well-being literature, this paper contributes to bridge this gap by proposing a conceptual model that explores the dynamics of these relationships which could offer a holistic view of the determinants of workplace well-being in construction.
Original language | English |
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Title of host publication | Proceedings of the 40th Annual ARCOM Conference, 2-4 September 2024, London, UK, Association of Researchers in Construction Management |
Publisher | ARCOM |
ISBN (Electronic) | 978-0-9955463-8-7 |
ISBN (Print) | 978-0-9955463-8-7 |
Publication status | Published - 2024 |
Event | The 40th Annual ARCOM Conference - London South Bank University, London, United Kingdom Duration: 2 Sept 2024 → 4 Sept 2024 |
Conference
Conference | The 40th Annual ARCOM Conference |
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Country/Territory | United Kingdom |
City | London |
Period | 2/09/24 → 4/09/24 |
Keywords
- Well-being
- Leadership
- Perceived workload
- Peer support
- Psychological capital (PsyCap)