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Canonical correlation analysis of employee well-being and performance among construction workers in Ghana

Michael Adesi et al.

Journal of Engineering, Design and Technology2026https://doi.org/10.1108/jedt-12-2024-0721article
ABDC C
Weight
0.50

What the paper says

Purpose This study aims to investigate the multivariate relationship between employee well-being and performance using canonical correlation analysis to identify the variables’ specific contributions. Design/methodology/approach A total of 118 survey questionnaires were administered to construction workers in Ghana, and canonical correlation analysis was conducted to ascertain the relationship between well-being and employee performance. Findings This study identified varying levels of influence of well-being indicators on employee performance among the participants. Practical implications The findings suggest that top managers in the construction industry should implement policies to improve the well-being indicators identified to enhance employee performance. Originality/value This study examines the relationship between employee well-being and performance using canonical correlation analysis, revealing the degree to which predictor variables influence performance among construction workers.

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Cite this paper

https://doi.org/https://doi.org/10.1108/jedt-12-2024-0721

Or copy a formatted citation

@article{michael2026,
  title        = {{Canonical correlation analysis of employee well-being and performance among construction workers in Ghana}},
  author       = {Michael Adesi et al.},
  journal      = {Journal of Engineering, Design and Technology},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/jedt-12-2024-0721},
}

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Canonical correlation analysis of employee well-being and performance among construction workers in Ghana

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.