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Leveraging employee online reviews for improving hotel competitiveness in the great resignation.
Xia, Haiyang; Muskat, Birgit; Vu, Huy Quan; Law, Rob; Li, Gang.
  • Xia H; Research School of Management, Australian National University, Australia.
  • Muskat B; Research School of Management, Australian National University, Australia.
  • Vu HQ; Department of Information Systems and Business Analytics, Deakin University, Australia.
  • Law R; Asia-Pacific Academy of Economics and Management, Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Taipa, Macau.
  • Li G; School of Information Technology, Deakin University, VIC 3125, Australia.
Int J Hosp Manag ; 113: 103529, 2023 Aug.
Artículo en Inglés | MEDLINE | ID: covidwho-20244870
ABSTRACT
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.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Investigación cualitativa / Revisiones Idioma: Inglés Revista: Int J Hosp Manag Año: 2023 Tipo del documento: Artículo País de afiliación: J.ijhm.2023.103529

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Investigación cualitativa / Revisiones Idioma: Inglés Revista: Int J Hosp Manag Año: 2023 Tipo del documento: Artículo País de afiliación: J.ijhm.2023.103529