ABSTRACT
Starting in late 2019, an unexpected crisis, the outbreak of COVID-19, began to affect China's economy. Among the businesses most severely impacted have been those in the service and tourism industries. Some firms have been strongly affected due to industry's characteristics, such as the mobility of tourists. In references to what has been accomplished in this battle, the term ‘China model' has been used to describe the nation's effectiveness in preventing industries from collapsing. In this paper, by illustrating the situation of the Chinese tourism industry, a predictive evaluation concerning the COVID-2019 outbreak's impact on the entire tourism industry is expected to obtain. This investigation identifies three key factors affecting the success of the China model in tourism crisis management (CMTCM). Finally, the paper also constitutes an evaluation of the possibility of replicating the CMTCM in conclusions to provide a reference for future relevant studies.
ABSTRACT
COVID-19 has caused significant damage globally, including tourism. This study adopts the quantitative research method, selects 588 samples from tourists watching short videos to investigate the antecedents and effects of parasocial interaction between tourists and short video tourism Vloggers, and analyses them with partial least squares. Based on parasocial relationship theory, this study investigates the antecedents of parasocial relationships between tourists and short video tourism Vloggers and their willingness to share short video tourism. Results show that the consistency of values, entertainment motivation, and emotional engagement positively impact the parasocial relationships between tourists and short video tourism Vloggers and affect the online sharing intention through the parasocial relationship. The consistency of values can directly affect sharing intention. As an intermediary variable, parasocial relationship positively impacts value congruence, entertainment motivation, emotional engagement, and sharing intention. This study introduces parasocial relationship into the research of tourism short video Vloggers, which enriches the literature. Furthermore, this introduction provides new marketing strategies and suggestions for the sustainable development of tourism.
ABSTRACT
The research article "Realtime Online Courses Mutated amid the COVID-19 Pandemic: Empirical Study in Hospitality Program" aims to explore the education evolution amid the pandemic [1]. Data were collected by recruiting 956 respondents; 926 responses were adopted after the valid screening through a cooperative survey company. A random sampling of targeted groups was required when outsourcing the data collection to the survey company Wenjuanxing, a platform with a majority population database providing functions equivalent to Amazon Mechanical Turk [2]. We asked the company to deliver the designed questionnaire to teachers and students in hospitality programs. The reliability and validity of all constructs showed that the questionnaire is proper for measurement [3]. Data analysis applied the structural equation model with Mplus to examine the CFA model and research hypothesis. Structural equation modeling was applied to conduct the hypotheses test and model fitness through the statistical tool Mplus. Results imply that the data is suitable for conducting replication studies.