The effect of hotel employee resilience during COVID-19: The moderation role of perceived risk and challenge stressors.

The effect of hotel employee resilience during major crises lacks sufficient empirical investigation. This research aimed to develop a conceptual model of hotel employee resilience effects on turnover intentions and service quality with belief restoration as mediation and challenge stressors and perceived risk as moderation variables. A questionnaire survey was conducted with 28 star-rated hotels (including two 3-star, fifteen 4-star, and eleven 5-star hotels) in southeastern, northeastern, central, and western China against the background of the COVID-19 pandemic, and with operational (e.g., front office, food and beverage, housekeeping) and administrative (e.g., human resource, sales, finance) departments. A total of 1318 valid questionnaires were collected. The results showed that: (1) employee resilience predicted employee service quality positively and turnover intentions negatively; (2) belief restoration partially mediated the impact of employee resilience on service quality and turnover intentions; and (3) perceived risk and challenge stressors had diverse moderation effects (e.g., U-shaped, linear) in the impacts of resilience, and they were important external and internal situational factors that influenced the impact of employee resilience. This research revealed the effects and situational conditions of hotel employee resilience during a major crisis, which provides a theoretical basis for establishing hotel crisis response strategies.

Analysis of the Characteristics and Causes of Night Tourism Accidents in China Based on SNA and QAP Methods.

The key purpose of this paper is to address an inherent gap in the literature on safety issues in the development of night tourism. This research takes a novel methodological approach, by using 8787 cases of tourism safety accidents in typical night tourism cities in China, and applying social network analysis (SNA) and quadratic assignment procedure (QAP) regression analysis to explore the multidimensional structural characteristics and risk-causing factors of night tourism accidents. Key findings include: (1) Amidst the complexity and diversity of the night tourism safety accidents in cities, disastrous accidents, public health accidents, natural disasters, and social security accidents are the main types of night tourism safety accidents. (2) Night tourism safety accidents have strong aggregation in specific time periods and spatial regions. There are differences in the timepoint and duration of each accident type, showing different distribution characteristics in different cities and locations. (3) Distribution of accident types in night tourism products shows obvious core-edge structure characteristics. (4) The degree of co-occurrence of four risk-inducing factors, i.e., personnel, facilities, environment, and management, has high explanatory power at the accident correlation level in the co-occurrence network of night tourism safety accidents in cities, and the influence effects of risk factors are heterogeneous at different timepoints. Our results provide some valuable implications for optimizing night tourism safety governance in cities.