Over the past few years, great attention has been given to the impacts of the COVID-19 pandemic and its consequences on employee psychological well-being (PWB), particularly in the hospitality industry. Like many aspects of human life, employee PWB is influenced by multiple factors. One of the factors that may affect employee PWB is transformational leadership (TLS). Accordingly, we aim through this study to empirically (1) examine the direct effect of transformational leadership on employee PWB and (2) investigate the potential independent and serial mediation effects of employee engagement (EEG) and job satisfaction (JS) on the TLS-PWB relationship after the height of the COVID-19 pandemic. Data were gathered using an online questionnaire from a convenience sample of 403 front-line employees from five-star hotels in Saudi Arabia. The partial least squares structural equation modeling (PLS-SEM) with the bootstrapping technique was utilized to test the study hypotheses. Based on the demands–resources (JD-R) theory, the findings of this study reveal a significant positive effect of TLS on hotel employees’ PWB. Additionally, drawing on the stimulus–organism–response (S-O-R) model, the two main contributions of this study are: (1) EEG and JS serially and independently have a significant partial mediational effect on the TLS-PWB relationship among hotel employees, and (2) EEG has a greater impact on the TLS-PWB relationship as an intervening variable than the two other mediators (JS, as well as EEG and JS serially). Based on these findings, hotel management should mainly consider developing and encouraging TLS behavior among their managers to promote EEG and increase JS among their followers, which consequently enhances their PWB and alleviates negative psychological outcomes due to experiencing a disaster such as the COVID-19 pandemic.

Tourism has a significant role in destination development, particularly in rural regions. However, within the context of the highly sensitive nature of rural areas to the ecological, economic, and socio-cultural effects of tourism development, it is important to assess the levels of satisfaction among the residents of rural destinations. The current study aimed to assess the impact of rural tourism development in the Al-Ahsa region, Saudi Arabia on the overall resident satisfaction and three relevant subdomains. The findings revealed that the three tourism development impacts under investigation, including the social, economic and environmental effects, were positively associated with resident overall satisfaction. The three influential developmental categories were also independent predictors of the satisfaction with the quality of life and environment subdomains. National policy makers are required to implement adequate rural tourism development measures and regulations to improve tourism services and activities, which would eventually be reflected in the quality of life of local residents.

The long-lasting impact of COVID-19 forced governments to continue with distance learning. Due to the absence of a formal digital learning management system (DLMS), public universities in many countries adopted social network sites (SNSs), e.g., Facebook and WhatsApp, and/or digital communication platforms, e.g., Microsoft (MS) Teams and Zoom for teaching and learning. This research investigates students’ learning experiences and responses to course/s incorporating SNSs and MS Teams as a sole distance learning platform during COVID-19. An online, pre-tested, questionnaire was used, directed at bachelor students in public institutions in Egypt, offering tourism and hotel programs, who received their courses using both SNSs and MS Teams. The results showed that the usage of both SNSs and MS Teams helped students to access information and learning resources, have good impact on their knowledge construction and critical refection, and report overall positive learning experience. The results of paired-samples t-test showed statistically significant differences between students’ experiences of course/s incorporating SNSs and MS Teams. However, students recorded limited support by their educators and peers and low participation in course activities that adopted MS Teams. They also reported poor assessment and feedback with course/s that incorporated SNSs. Hence, several implications for scholars, policymakers, and educators were presented for achieving better learning experience and to cope with the pandemic or similar crises, especially in universities with poor infrastructure, including unavailability of DLMS.

Recently, with increasing customer awareness about environmental issues, guests staying in hotels and potential consumers are more and more concerned about environmentally sustainable practices and their associated consequences. From the hotel industry perspective, empirical studies conducted on the association between customer citizenship behavior (CCB) and environmentally sustainable practices (ESPs) with the existence of green satisfaction (GS) are scarce. Consequently, the primary aim of the current study is to investigate the impact of ESPs on GS and CCB in a sample of five-star eco-friendly hotels in Egypt, as well as exploring the potential mediative role of GS in the relationship between CCB and ESPs. Additionally, we attempt to empirically determine to what extent GS directly impacts CCB. The study suggests a conceptual model for testing four hypothesized relationships between ESPs, GS, and CCB. Structural equation modeling (SEM) with bootstrapping was employed for testing our hypotheses. The findings of the study confirmed the significant positive impacts of ESPs on GS and CCB. Further, GS significantly and positively affects CCB. Moreover, GS partially mediates the relationship between CCB and ESPs. Given the study findings, some practical implications for improving GS and boosting CCBs in the green/eco-friendly hotel industry context are suggested.

Digital transformation has altered the way customers interact with restaurants. As a result, digital transformation has had an enormous impact, changing restaurant customer value. Therefore, this research aims to develop a dynamic and sustainable method for creating customer value in digital transformation. This study suggested digital dynamic capabilities and digital customer orientation as a process model (i.e., sensing, seizing, transforming, and refining) to develop digital transformation and create a dynamic customer value. We chose fast-food restaurants in Egypt to examine the proposed model using a qualitative approach of semi-structured interviews with fast-food managers and hospitality experts. The findings indicated that fast-food restaurants’ different digital transformation capabilities and tools (e.g., value innovation, SWOT analysis, artificial intelligence, new technology selection criteria, digital maturity, building several digital platforms, and gathering and analyzing customers’ online reviews) help them create customer value. However, interviewees highlighted how well-suited the suggested digital dynamic capabilities are to serve as drivers of digital transformation in fast-food restaurants and create a dynamic customer value. This research expands the dynamic capabilities theory by adding digital customer orientation (i.e., proactive and reactive to customer feedback) to develop digital transformation and create customer value in fast-food restaurants. This research provides fast-food restaurant managers with an in-depth explanation of how to implement the digital dynamic capabilities model for executing digital transformation and developing a new dynamic customer value.

Low-cost carriers (LCCs) in Saudi Arabia operate in a competitive, highly demanding environment. Customer-related attributes may be influenced by the levels of service quality in a no-frills airline, which might impact satisfaction and loyalty. Given the unique traveler and market characteristics of the aviation sector in the kingdom, we sought to investigate the impact of service quality of LCCs on customer satisfaction and loyalty and the perceived airline image. A total of 299 passengers at two international airports were approached using a modified SERVQUAL scale. Results revealed that service quality was a significant predictor of customer satisfaction (β = 0.46, p < 0.0001), airline image (β = 0.55, p < 0.0001), and customer loyalty (β = 0.16, p = 0.006). The responsiveness dimension was the most important dimension of service quality, since it predicted all other constructs (satisfaction, loyalty, and brand image). Airline tangibles and reliability were independently associated with brand image and loyalty, respectively. Based on these results, LCCs should tailor future strategic plans that rely heavily on improving different service quality measures, particularly the responsiveness domain.