ABSTRACT
Rural hospitality and tourism (RHT) play a key role in rural revitalization, especially due to the impact of COVID-19, with more citizens choosing to travel to the countryside for a staycation. Local SMEs, especially family-owned enterprises, make up the majority of the RHT sector, not only providing services and products to satisfy tourists, but also helping with local employment. However, entrepreneurs operating in rural areas face many challenges in terms of capital, skills and education. Hence, it is important to explore the entrepreneurial intention (EI) of local people and how policies can support or change their behaviours. Current research on the RHT industry, rarely study the EI of local people, and the literature on rural entrepreneurship concentrates on developed countries. This study therefore uses agent-based modelling to explore how locals' EI in Chongming island (China) respond to the current impact of COVID-19, and whether policies will bring about changes on the supply side of RHT sector. © SW 2023.All rights reserved
ABSTRACT
The economy of Small Island Developing States (SIDS) is highly dependent on tourism and travel sector. Under the impact of COVID-19, these islands have suffered strongly. Possible recovery strategies are tested through exploring the concept of risk perception as an important factor to influence the behaviour intention under the framework of theory of planned behaviour (TPB). A behavioural simulation is built to help evaluate tourism policies. This paper takes Maldives as an example. Four strategies are tested in the model: social distancing, tax reduction strategy, travel bubble strategy and joint strategy. The results show that the most effective way to change tourist behaviour intention is the travel bubble strategy. The results also indicate that the reduction in tourism arrivals may bring opportunities for local ecosystem recovery. This study exemplifies the advantage of using the system dynamics approach when the past pattern is not a good predictor for the future by making predictions based on how the system works.
ABSTRACT
Pandemic periods are one of the reasons patients have difficulty accessing healthcare services. Even diseases such as diabetes mellitus with a high prevalence and easy to diagnose today may delay the diagnosis of patients. Likewise, difficulties may be experienced in the follow-up of these patients due to pandemic period restrictions. We presented 1 diabetes mellitus patient delayed in diagnosis during the COVID-19 pandemic period and 2 diabetes mellitus patients who had difficulties in follow-up due to pandemic restrictions in this case reports. © 2017 AOS-Estratagia and Inovacao. All rights reserved.