Followers' unclear demands during the COVID-19 pandemic can undermine leaders' well-being: A moderated mediation model from an entrapment perspective.

Although effective leaders are important for reducing employee stress during the COVID-19, limited studies have examined how follower behaviors can influence leader stress and well-being during the COVID-19. This study draws on defeat-entrapment theory to examine how followers' unclear demands during the COVID-19 consequently impact leaders' psychological states and well-being. We conducted a three-wave time-lagged investigation with a sample of 281 leaders in the United Kingdom and found that followers' unclear demands could generate feelings of entrapment in leaders, leading to decreased levels of well-being outcomes in leaders. Importantly, we found that leaders who have higher levels of leadership responsibility during the COVID-19 are likely to feel trapped by followers' unclear demands. They are also likely to face higher levels of feelings of entrapment and impaired well-being compared with leaders who have lower levels of leadership responsibility. We discuss the implications for theories and practices, as well as directions for future research.

The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data.

The worldwide outbreak of the COVID-19 has significantly increased the fear of individuals, which brings severe psychosocial stress and adverse psychological consequences, and become a serious public health problem. Based on the imprinting theory, this study investigates whether childhood experiences of SARS have an imprinting effect that significantly influences the fear of COVID-19. Furthermore, we propose that this effect is contingent on the applications of AI and big data. We test our framework with a sample of 1871 questionnaires that covered students in universities across all provincial regions in China, and the results suggest that the imprinting of SARS increases the individuals' fear of COVID-19, and this effect is reduced with the applications of AI and big data. Overall, this study provides a novel insight of the fear caused by the childhood experience of the similar health crisis and the unique role of AI and big data applications into fighting against COVID-19.

Creating a safe haven during the crisis: How organizations can achieve deep compliance with COVID-19 safety measures in the hospitality industry.

The COVID-19 health crisis has engendered a set of additional health and safety regulations and procedures (e.g. social distancing) to the hospitality industry. The purpose of this paper is to explore in-depth how organizations can facilitate employees' deep compliance with these procedures. Employing an instrumental case-study approach, we collected multi-level interview data and archival data in a small-medium sized restaurant in China. The findings reveal that employees' deep compliance with safety procedures includes a four-stage psychological process, and this process is underpinned by both management safety practices and organizational crisis strategies. As the hospitality industry starts to exit lockdown and ramp up operations, this study offers theoretical and practical insights on how organizations in hospitality can protect the health and safety of their employees and the broader community.