Does AI-technology-based indoor environmental quality impact occupants’ psychological, physiological health, and productivity?
Journal article
Bangwal, D., Kumar, R., Suyal, J. and Ghouri, A. (2023). Does AI-technology-based indoor environmental quality impact occupants’ psychological, physiological health, and productivity? Annals of Operations Research. https://doi.org/10.1007/s10479-023-05431-1
Authors | Bangwal, D., Kumar, R., Suyal, J. and Ghouri, A. |
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Abstract | Over the past century, because of increased global travel, there high growth in the travel and tourism sector. But the outbreak of an ongoing pandemic has changed this scenario, which has put tremendous focus on the Indoor Environmental Quality (IEQ) embedded with the application of technologies, especially artificial intelligence (AI). This study aims to investigate the effect of AI-technology-based IEQ in the hospitality industry on occupants’ productivity through their psychological and physiological health. Drawing from Job demand - resource theory and Nudging philosophy, we formulated the hypoth-esis and conceptual model, which was empirically tested by structural equation model-ing (SEM). The results show that AI-technology-based IEQ is statistically significant in people’s behavioral change, which reflects on occupants’ health and productivity. Notably, AI-technology-based IEQ of the hospitality industry had a greater influence on occupants’ productivity, followed by their psychological and physiological health. |
Keywords | Artificial Intelligence (AI) · Technology · Indoor environmental quality (IEQ) · Hospitality industry |
Year | 2023 |
Journal | Annals of Operations Research |
Publisher | Springer |
ISSN | 1572-9338 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10479-023-05431-1 |
Web address (URL) | https://link.springer.com/article/10.1007/s10479-023-05431-1 |
Publication dates | |
14 Jun 2023 | |
Publication process dates | |
Accepted | 31 May 2023 |
Deposited | 30 Jun 2023 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/9455y
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Accepted author manuscript
Does_AI-technology-based_indoor_environmental_qual.docx | ||
License: Springer Bespoke License | ||
File access level: Open |
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