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Leveraging employee online reviews for improving hotel competitiveness in the great resignation
The Great Resignation has brought significant challenges to the recovery of the hospitality industry from the depression caused by the coronavirus pandemic (COVID-19). Prior studies have revealed that the leading cause of the Great Resignation is negative employee experience. However, few empirical...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247208/ https://www.ncbi.nlm.nih.gov/pubmed/37305180 http://dx.doi.org/10.1016/j.ijhm.2023.103529 |
_version_ | 1785055147885330432 |
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author | Xia, Haiyang Muskat, Birgit Vu, Huy Quan Law, Rob Li, Gang |
author_facet | Xia, Haiyang Muskat, Birgit Vu, Huy Quan Law, Rob Li, Gang |
author_sort | Xia, Haiyang |
collection | PubMed |
description | The Great Resignation has brought significant challenges to the recovery of the hospitality industry from the depression caused by the coronavirus pandemic (COVID-19). Prior studies have revealed that the leading cause of the Great Resignation is negative employee experience. However, few empirical studies have been conducted to obtain deep insights into the negative experiences of hospitality employees. Hotel managers still lack the knowledge to help them resolve the workforce problem and maintain competitiveness during the pandemic. This study proposes a novel framework, named HENEX, that uses data-mining technologies and employees’ online reviews about hotels to identify the factors that lead to hospitality employees’ negative experiences and changes in these factors caused by COVID-19. We demonstrate the effectiveness of HENEX through a case study that involves major hotels in Australia. The findings could help hotel managers develop strategies to resolve the workforce problem and maintain competitiveness during the Great Resignation period. |
format | Online Article Text |
id | pubmed-10247208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102472082023-06-08 Leveraging employee online reviews for improving hotel competitiveness in the great resignation Xia, Haiyang Muskat, Birgit Vu, Huy Quan Law, Rob Li, Gang Int J Hosp Manag Article The Great Resignation has brought significant challenges to the recovery of the hospitality industry from the depression caused by the coronavirus pandemic (COVID-19). Prior studies have revealed that the leading cause of the Great Resignation is negative employee experience. However, few empirical studies have been conducted to obtain deep insights into the negative experiences of hospitality employees. Hotel managers still lack the knowledge to help them resolve the workforce problem and maintain competitiveness during the pandemic. This study proposes a novel framework, named HENEX, that uses data-mining technologies and employees’ online reviews about hotels to identify the factors that lead to hospitality employees’ negative experiences and changes in these factors caused by COVID-19. We demonstrate the effectiveness of HENEX through a case study that involves major hotels in Australia. The findings could help hotel managers develop strategies to resolve the workforce problem and maintain competitiveness during the Great Resignation period. Elsevier Ltd. 2023-08 2023-06-07 /pmc/articles/PMC10247208/ /pubmed/37305180 http://dx.doi.org/10.1016/j.ijhm.2023.103529 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Xia, Haiyang Muskat, Birgit Vu, Huy Quan Law, Rob Li, Gang Leveraging employee online reviews for improving hotel competitiveness in the great resignation |
title | Leveraging employee online reviews for improving hotel competitiveness in the great resignation |
title_full | Leveraging employee online reviews for improving hotel competitiveness in the great resignation |
title_fullStr | Leveraging employee online reviews for improving hotel competitiveness in the great resignation |
title_full_unstemmed | Leveraging employee online reviews for improving hotel competitiveness in the great resignation |
title_short | Leveraging employee online reviews for improving hotel competitiveness in the great resignation |
title_sort | leveraging employee online reviews for improving hotel competitiveness in the great resignation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247208/ https://www.ncbi.nlm.nih.gov/pubmed/37305180 http://dx.doi.org/10.1016/j.ijhm.2023.103529 |
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