Sustainable innovation is a solution for the hospitality and tourism (H&T) industries to cope with the COVID-19 crisis, build resilience, and ensure survival post-pandemic. The primary aim of our review is to systematically identify and critically review the literature on sustainable innovation in H&T amid COVID-19 (conducted in 2020 and 2021), in order to synthesize and classify prevalent types, antecedents, and outcomes of sustainable innovation. The authors present a comprehensive review of the 58 articles on sustainable innovation in H&T through the Web of Science (WoS) database, spanning over 2 years (2020-2021). This review demonstrates that since the beginning of COVID-19, H&T have strongly mobilized network technologies (especially social media and digital platforms) and data-processing technologies (especially Artificial Intelligence (AI) and Machine Learning (ML)) in comparison with physical-digital interface technologies (especially Virtual Reality (VR)), while physical-digital process technologies remain very limited in these industries. Several relevant antecedents of the adoption of sustainable innovation, more specifically digital technologies, have been identified at multiple levels of analysis, including the organizational, managerial, and stakeholder levels. Our research also reveals several consequences of the adoption of sustainable innovation in H&T. These consequences were congregated according to the three main dimensions related to sustainability in economic, social, and environmental outcomes. This study provides important practical implications for the H&T sectors in the digital era and post-pandemic. The current research is the first study to systematically and critically review sustainable innovation in an H&T context.
This paper investigates the effect of fear of COVID-19 on employee turnover intention and depression, hypothesizing the mediating effect of psychological well-being and the moderating effect of workplace health and safety management practices. Data was gathered from 687 employees of five-star hotels in Sharm El-Sheikh using a structured survey instrument with time-lag approach. A partial least-square-based path modeling (PLS-PM) was applied to analyze the dataset. The findings reveal the partial mediation of psychological well-being in the relationships of fear of COVID-19 with both turnover intention and depression. While workplace safety and management practices significantly moderate the relationship between fear of COVID-19 and both turnover intentions, depression also mediates the relationship. The findings add to the existing literature on the effects of COVID-19 through the dual lenses of protection motivation theory and attribution theory. We can employ these findings to overcome issues of employee well-being in the hotel setting.

