| Literature DB >> 35055812 |
Lina Zhong1, Sunny Sun2, Rob Law3, Xiaonan Li1, Liyu Yang1.
Abstract
The present study examined the perception, reaction (i.e., possible measures), and future development from the perspectives of hotel and tourism practitioners and experts to investigate the influence of coronavirus disease 2019 (i.e., COVID-19) on the hospitality and tourism industry in China. After conducting 58 in-depth interviews among hotel and tourism practitioners and experts, feasible and practical measures were proposed to reduce such influence and predict the future development of China's hospitality and tourism industry. Findings indicate that the influence of COVID-19 on the industry is perceived mainly through the pandemic's economic and social effects. Possible measures that can be adopted for the recovery of China's hospitality and tourism industry include the following aspects: government financial support, employee relationship management and electronic (e)-training, business marketing management, and industry co-operation network. A Perception-Reaction-Predication (PRP) crisis model is also proposed.Entities:
Keywords: COVID-19; PRP crisis model; perception; public health; reaction; tourism
Mesh:
Year: 2022 PMID: 35055812 PMCID: PMC8775538 DOI: 10.3390/ijerph19020991
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Research flow chart.
Demographic profile of interviewees.
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| A1. | F | Hotel Group | Beijing |
| A2. | M | Hotel Group | Beijing |
| A3. | F | Hotel Group | Beijing |
| A4. | F | 3-Star Hotel | Beijing |
| A5. | M | Economy Hotel | Beijing |
| A6. | F | Economy Hotel | Beijing |
| A7. | F | Independent Hotel | Hunan |
| A8. | M | Independent Hotel | Suzhou |
| A9. | M | 4-Star Hotel | Beijing |
| A10. | M | Hotel Group | Shanghai |
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| B1. | F | University | Beijing |
| B2. | M | Hotel Association | Shanghai |
| B3. | M | University | Beijing |
| B4. | M | University | Beijing |
| B5. | F | University | Beijing |
| B6. | F | University | Beijing |
| B7. | F | University | Beijing |
| B8. | F | University | Beijing |
| B9. | M | University | Beijing |
| B10. | M | Hotel Research Association | Sichuan |
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| C1. | F | 5A | Guiyang |
| C2. | M | 4A | Wuhu |
| C3. | M | 4A | Beijing |
| C4. | F | 5A | Enshi |
| C5. | M | 5A | Yongcheng |
| C6. | M | NA | Qiannan Buyi and Miao autonomous prefecture |
| C7. | M | NA | Baoding |
| C8. | F | 3A | Bengbu |
| C9. | F | 3A | Beijing |
| C10. | F | 5A | Beijing |
| C11. | F | 4A | Liangshan Yi autonomous prefecture |
| C12. | F | 5A | Tianjin |
| C13. | M | 4A | Jincheng |
| C14. | F | 5A | Baoding |
| C15. | F | NA | Beijing |
| C16. | M | 5A | Tangshan |
| C17. | M | 4A | Beijing |
| C18. | M | 5A | Zaozhuang |
| C19. | M | 5A | Linyi |
| C20. | M | 4A | Kaifeng |
| C21. | M | 4A | Baishan |
| C22. | M | 4A | Ningbo |
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| D1. | M | University | Beijing |
| D2. | M | Tourism Research Center | Beijing |
| D3. | M | Tourism Planning Institute | Beijing |
| D4. | M | Tourism Enterprises | Beijing |
| D5. | M | Special Experts in Cultural Industry of China Economic Net | Beijing |
| D6. | M | University | Beijing |
| D7. | M | Tourist Association | Beijing |
| D8. | F | University | Beijing |
| D9. | M | University | Guangzhou |
| D10. | M | University | Lanzhou |
| D11. | M | Chinese Academy of Social Sciences Tourism Research Institute | Beijing |
| D12. | F | University | Beijing |
| D13. | M | University | Beijing |
| D14. | M | Tourism Research Institute | Beijing |
| D15. | M | World Federation of Tourism Cities | Beijing |
| D16. | M | World Federation of Tourism Cities | Beijing |
Word frequency analysis.
| Keywords | Frequency | Weighted Average Percentage (%) |
|---|---|---|
| 1. Epidemic situation | 245 | 4.56% |
| 2. Hotel | 225 | 4.18% |
| 3. Tourism | 168 | 3.12% |
| 4. Scenic spot | 157 | 2.92% |
| 5. Enterprise | 68 | 1.26% |
| 6. Market | 59 | 1.10% |
| 7. Loss | 59 | 1.10% |
| 8. Affect | 53 | 0.99% |
| 9. Service | 49 | 0.91% |
| 10. Recovery | 49 | 0.91% |
Figure 2Perception of the influence of COVID-19 on the hospitality and tourism industry.
Figure 3Reactions for reducing the influence of COVID-19 on the hospitality and tourism industry.
Figure 4Prediction of hospitality and tourism development after COVID-19 pandemic.
Figure 5Proposed PRP crisis model for the hospitality and tourism industry.