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A Proposed DISE Approach for Tourist Destination Crisis Management

doi: 10.3390/su141711009
Novel coronavirus (COVID-19) has had a huge impact on the global tourism industry over the past couple of years. Most previous studies investigated tourism crises after the pandemic period. Hence, to minimize the research gap, the present study investigates the impact of COVID-19 on tourism during the pandemic period. By assessing this impact, this paper proposes a D (big data) I (impact module) S (strategy module) E (evaluation module) model to cope with the crisis in order to bring about feasible implications for tourism practitioners and governments. This paper is to provide real-time destination management adjustments. This model is based on a crisis management framework and governance theory through retrieving big data from China Unicom and major travel information delivery sources. The major finding shows that the detailed time points of pandemic information release in the early stage of crisis. In conclusion, through proposing a DISE model, the present study assesses the impact of the major emergency public health crisis, assists destination managers in adjusting tourism-related policy and reflects the priority of recovering tourism after the crisis for effective tourist destination management.
- University of Macau China (People's Republic of)
- University of Macau China (People's Republic of)
- Ritsumeikan Asia Pacific University Japan
- Jilin International Studies University China (People's Republic of)
- Beijing International Studies University China (People's Republic of)
Environmental effects of industries and plants, COVID-19, TJ807-830, TD194-195, impact; COVID-19; tourism; crisis management; DISE model; big data, Renewable energy sources, Environmental sciences, big data, DISE model, impact, tourism, GE1-350, crisis management
Environmental effects of industries and plants, COVID-19, TJ807-830, TD194-195, impact; COVID-19; tourism; crisis management; DISE model; big data, Renewable energy sources, Environmental sciences, big data, DISE model, impact, tourism, GE1-350, crisis management
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