Post-SARS tourist arrival recovery patterns: An analysis based on a catastrophe theory
| dc.citation.epage | 861 | en_US |
| dc.citation.issue | 6 | en_US |
| dc.citation.spage | 855 | en_US |
| dc.citation.volume | 31 | en_US |
| dc.citation.woscount | 6 | |
| dc.contributor.author | Mao, Chi-Kuo | en_US |
| dc.contributor.author | Ding, Cherng G. | en_US |
| dc.contributor.author | Lee, Hsiu-Yu | en_US |
| dc.contributor.department | 經營管理研究所 | zh_TW |
| dc.contributor.department | Institute of Business and Management | en_US |
| dc.date.accessioned | 2014-12-08T15:19:51Z | |
| dc.date.available | 2014-12-08T15:19:51Z | |
| dc.date.issued | 2010-12-01 | en_US |
| dc.description.abstract | In 2003, the Severe Acute Respiratory Syndrome (SARS) ravaged many Asian countries. The outbreak of SARS caused a crisis in the tourism industry in many parts of Asia in that year. The purpose of this study is to examine and to compare the post-SARS recovery patterns of inbound arrivals from Japan, Hong Kong and USA in Taiwan. Taking the cusp catastrophe model as its foundation, this study proposes a well-grounded approach to understanding the nature of the recovery processes and to explaining the difference between the recovery patterns displayed by arrivals from Japan and those from Hong Kong and USA. Implications regarding tourism promotion policies are drawn from the analysis. (C) 2009 Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.tourman.2009.09.003 | en_US |
| dc.identifier.issn | 0261-5177 | en_US |
| dc.identifier.journal | TOURISM MANAGEMENT | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.tourman.2009.09.003 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/14077 | |
| dc.identifier.wosnumber | WOS:000281176500016 | |
| dc.language.iso | en_US | en_US |
| dc.subject | SARS | en_US |
| dc.subject | Cusp catastrophe system | en_US |
| dc.subject | Threshold | en_US |
| dc.subject | Hysteresis effect | en_US |
| dc.title | Post-SARS tourist arrival recovery patterns: An analysis based on a catastrophe theory | en_US |
| dc.type | Article | en_US |