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Abstract Introduction: The integration of artificial intelligence (AI) in the construction industry holds immense potential to enhance productivity, improve decision-making, and increase operational efficiency. However, in many resource-constrained environments, the adoption of AI technologies remains slow owing to infrastructural limitations, skills deficits, regulatory uncertainties, and institutional challenges.
We employed a cross-sectional research design in adherence to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist. The cross-sectional design was adopted because our hypotheses involved testing the moderated mediation with data collected at a fixed time. It was suited for our moderated mediation analysis because the data resulting from its use was numeric. Thus, the conceptual moderated mediation model, as illustrated in Fig.
This study compared continuous work-related sitting time and its domains between full-time and part-time workers, private and public sector workers, and workers in the manufacturing and services sectors. The associations between continuous work-related sitting time and its domains as well as PWSH were also assessed. Employees working in service organizations reported longer sitting time during lunch compared with employees working in manufacturing organizations.
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