| Autor: |
Zanni, Sara, Mura, Matteo, Longo, Mariolina, Motta, Gabriella, Caiulo, Davide |
| Přispěvatelé: |
Zanni, Sara, Mura, Matteo, Longo, Mariolina, Motta, Gabriella, Caiulo, Davide |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
International Journal of Contemporary Hospitality Management. 35:397-418 |
| ISSN: |
0959-6119 |
| DOI: |
10.1108/ijchm-12-2021-1549 |
| Popis: |
Purpose This study aims to provide a comprehensive framework for the study of indoor air quality (IAQ) in hospitality premises. The goal is to identify the drivers of air pollution, both at the exogenous and endogenous level, to generate insights for facility managers. Design/methodology/approach The complexity of hospitality premises requires an integrated approach to properly investigate IAQ. The authors develop an overarching framework encompassing a monitoring method, based on real-time sensors, a technological standard and a set of statistical analyses for the assessment of both IAQ performance and drivers, based on correlation analyses, analysis of variance and multivariate regressions. Findings The findings suggest that the main drivers of IAQ differ depending on the area monitored: areas in contact with the outdoors or with high ventilation rates, such as halls, are affected by outdoor air quality more than guestrooms or fitness areas, where human activities are the main sources of contamination. Research limitations/implications The results suggest that the integration of IAQ indicators into control dashboards would support management decisions, both in defining protocols to support resilience of the sector in a postpandemic world and in directing investments on the premises. This would also address guests’ pressing demands for a broader approach to cleanliness and safety and support their satisfaction and intention to return. Originality/value To the best of the authors’ knowledge, this is the first study developing a comprehensive framework to systematically address IAQ and its drivers, based on a standard and real-time monitoring. The framework has been applied across the longest period of monitoring for a hospitality premise thus far and over an entire hotel facility. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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