Publicação
Resilience Benchmarking: How Small Hotels Can Ensure Their Survival and Growth during Global Disruptions
| datacite.subject.fos | Ciências Sociais | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| dc.contributor.author | Kolodiziev, Oleh | |
| dc.contributor.author | Dorokhov, Oleksandr | |
| dc.contributor.author | Shcherbak, Valeriia | |
| dc.contributor.author | Dorokhova, Liudmyla | |
| dc.contributor.author | Ismailov, Altan | |
| dc.contributor.author | Figueiredo, Ronnie | |
| dc.date.accessioned | 2025-12-04T13:28:46Z | |
| dc.date.available | 2025-12-04T13:28:46Z | |
| dc.date.issued | 2024-07-04 | |
| dc.description | Article number - 281 | |
| dc.description | Acknowledgments: The authors express their deep gratitude to the administrations of universities for their support during this study. Despite the lack of direct funding, administrative and technical support from educational institutions played a key role in the success of our work. We are also grateful to all our colleagues who provided us with access to the necessary resources and materials, which allowed us to implement the scientific project at a high level. This support was invaluable in achieving our goals and objectives. | |
| dc.description.abstract | This study aimed to develop a resilient benchmarking system for small hotels in Ukraine, designed to ensure their survival and growth amid global disruptions and local crises. Given the severe challenges associated with the COVID-19 pandemic and military actions, the resilience of the regional tourism business is particularly relevant. The methods used in this study, including factor and cluster analysis, taxonomy, and dendrograms, enabled the development of development programs for two clusters of hotels: those located in areas with increased military risk and those in relatively safe territories. The taxonomic analysis revealed significant differences in managerial practices and operational efficiency, largely determined by the geographic location of the hotels. Hotels in active combat zones experienced a 40% reduction in tourist flow and financial instability, while hotels in safe areas demonstrated a 30% higher level of customer satisfaction. The application of advanced security systems and modern marketing techniques led to a 40% reduction in incidents. | eng |
| dc.identifier.citation | Kolodiziev, O., Dorokhov, O., Shcherbak, V., Dorokhova, L., Ismailov, A., & Figueiredo, R. (2024). Resilience Benchmarking: How Small Hotels Can Ensure Their Survival and Growth during Global Disruptions. Journal of Risk and Financial Management, 17(7), 281. | |
| dc.identifier.doi | 10.3390/jrfm17070281 | |
| dc.identifier.issn | 1911-8074 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/14867 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI | |
| dc.relation.hasversion | https://ideas.repec.org/a/gam/jjrfmx/v17y2024i7p281-d1428782.html | |
| dc.relation.ispartof | Journal of Risk and Financial Management | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | resilient benchmarking | |
| dc.subject | small hotels | |
| dc.subject | tourism | |
| dc.subject | regional impact | |
| dc.subject | operational efficiency | |
| dc.subject | strategic adaptation | |
| dc.title | Resilience Benchmarking: How Small Hotels Can Ensure Their Survival and Growth during Global Disruptions | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 15 | |
| oaire.citation.issue | 7 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | Journal of Risk and Financial Management | |
| oaire.citation.volume | 17 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Figueiredo de Andrade | |
| person.givenName | Ronnie Joshé | |
| person.identifier.ciencia-id | DD1A-4F90-0050 | |
| person.identifier.orcid | 0000-0002-6587-6113 | |
| relation.isAuthorOfPublication | 333245f9-acf2-48d9-be4f-cea8d83bc464 | |
| relation.isAuthorOfPublication.latestForDiscovery | 333245f9-acf2-48d9-be4f-cea8d83bc464 |
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