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This study aims to examine the psychological distress experienced by unemployed and furloughed hospitality workers during the COVID-19 crisis and further investigate how this distress affects their career change intentions.

Derived from a sample of 607 unemployed and furloughed hospitality workers during the COVID-19 pandemic, the data for this research are analyzed using structural equation modeling.

This study reveals that unemployed and furloughed hospitality workers are financially strained, depressed, socially isolated and panic-stricken due to the pandemic’s effects. These effects lead to impaired well-being and an increased intention to leave the hospitality industry. Female and younger employees are impacted to a greater extent, while furloughed workers received fewer impacts compared to their laid-off compatriots.

This study suggests that lockdown restrictions need to be implemented more deliberately, and the psychological well-being of the hospitality workforce deserves more immediate and continuing attention. It advises that hospitality businesses consider furloughs over layoffs when workforce reduction measures are necessary to combat the financial crisis.

This study adds to the current literature by examining the impact of the COVID-19 pandemic from the employee perspective. New insights are offered on the psychological toll of workforce reduction strategies during the financial fallout and how these distressing experiences affect career change intention.

Given that the recovery of the hospitality industry is hampered by worker shortages resulting from the loss of talents during the ongoing pandemic, the purpose of this study is to examine how professional identity affects hospitality employees’ psychological responses to the COVID-19 crisis and their intentions to leave the industry.

This study sample consisted of 1,188 US hospitality employees. The cross-sectional data were analyzed using partial least square structural equation modeling, analysis of variance and multigroup analysis.

A double-barreled effect of professional identity on career change intention was identified. Hospitality employees possessing a stronger professional identity were found to be more passionate and satisfied with their careers and less likely to switch to other industries. However, these individuals also feel more distressed by the pandemic crisis, which is associated with a heightened level of career change intentions.

The findings of this study confirm the importance of identity building as a means of sustaining the hospitality workforce. As nascent professionals possess a weaker identity and stronger intention to leave the industry, immediate attention should be paid to these individuals.

This study expands the knowledge surrounding the influences of hospitality professional identity as it exerts a double-barreled effect on career change intention. Further insights regarding how hospitality employees at various career stages respond differently to the COVID-19 crisis are uncovered by examining the moderating effects of industry experience.

The purpose of this study is to explore robot-phobia as a source of occupational stress among hospitality employees in the context of increasing robotization in the industry.

The study sampled 321 lodging employees and 308 food service employees in the USA. An online panel company recruited the participants and administered an online survey. The study used various analytical methods, including structural modeling, t-tests and multi-group analyses.

The study results reveal that hospitality workers experience robot-phobia regardless of their sector or position. Robot-phobia causes job insecurity and stress, which increases turnover intention. These negative outcomes are more pronounced for those who interact more frequently with robots.

The study findings suggest that hospitality workers fear being replaced by robots in the near future. Therefore, hospitality organizations should offer adequate training and education on the advantages and drawbacks of robots and establish a supportive and collaborative work environment that values human–robot interaction.

This study offers new insights regarding human–robot interaction from the employee perspective by introducing the concept of robot-phobia in the hospitality workplace. A comprehensive picture of how hospitality employees confront the increasing presence of robots is provided in this study.

This paper aims to examine the relationship among guests’ lodging recovery experience, work-related rumination, guest satisfaction and well-being, within the context of hotels and bed and breakfasts (B&Bs).

The sample included 823 Taiwanese full-time workers. The proposed relationships were tested using partial least square structural equation modeling, and the moderating effects of accommodation types were tested using multi-group analysis.

The research findings indicate that staying at a hotel or B&B provides a respite from work and reduces negative, repetitive thoughts about work issues (work-related rumination). These recovery effects then contribute to customer satisfaction and hedonic and eudaimonic well-being.

The findings indicate that practitioners need to develop products that could reduce customers’ negative emotional attachments to work and enhance the well-being of customers in a stressful society, which could ultimately contribute to promoting the public health of full-time workers.

To the best of the authors’ knowledge, this study is the first to examine the stress-recovery aspect of lodging experiences and their impacts on customer satisfaction and well-being. Further insights are demonstrated with the inclusion of work-related rumination.

The purpose of this paper is to develop a research model that explains team performance based on social cognitive theory and social exchange theory. In the model, team performance indirectly relates to three kinds of leadership (i.e., charismatic, autocratic and considerate) via the full mediation of collective efficacy. At the same time, team justice as a focus in this study is examined as a moderator in the model.

The research hypotheses of this study were empirically tested using two-wave data collection across insurance sales teams from a leading bank holding company which is the largest bank holding company in Taiwan. In the first-wave data collection, researchers of this study surveyed six people anonymously from each sales team, including a team leader and five team members. Three months later, the researchers conducted the second-wave data collection by obtaining team performance data from the department of human resource management, which was an independent rater for each team’s performance. Two-wave data collection from 59 teams was achieved for verifying the hypothesized effects.

The team-level test results show that collective efficacy fully mediates the relationship between charismatic leadership and team performance and between considerate leadership and team performance. Justice moderates the relationship between collective efficacy and team performance and between charismatic leadership and collective efficacy.

This study has two major theoretical implications. First, this study conceptualized three distinct kinds of leadership as major determinants of team performance from a social exchange perspective. Such a theoretical conceptualization of leadership not only broadens the boundary of leadership beyond traditional one such as transactional leadership based on the theory of contingent reward but also closely reflects the practical status quo of leadership of teams. Second, this research incorporated social exchange theory into the framework of team performance in social cognitive theory. Specifically, this study theorized and validated justice as a moderator in the development of team performance.

This paper aims to propose an innovative approach to assist teachers in using electronic libraries to develop learning activities for context‐aware ubiquitous learning, in which the learning system can detect students' behaviors and guide them to learn in the real world with personalized support from the digital world.

An electronic library with context‐awareness metadata for supporting learning activities conducted in real‐world environments is presented. Furthermore, a systematic procedure for guiding teachers in employing the electronic library to develop learning activities is proposed based on an innovative approach.

From a practical application conducted on an elementary school, it is found that, with this innovative approach, electronic libraries not only have the potential in supporting traditional in‐class or online learning activities, but also can assist teachers and digital content workers in developing high quality learning activities and related digital learning materials to support outdoor learning.

The findings of this paper imply that, to promote the utilization rate of electronic libraries for more specified purposes, more features of the application domains need to be considered while designing the database schemas of the electronic libraries.

From the feedback of teachers and digital content workers, it is found electronic libraries have high potential for supporting outdoor learning activities for “Science” and “Social science” courses with proper database schema design and the provision of user guidance.

An electronic library for supporting context‐aware ubiquitous‐learning is presented and an innovative approach for guiding teachers to design learning activities is proposed.

The purpose of this paper is to present an innovative approach that is proposed for developing e‐libraries with metadata to meet the need of training observation and classification skills in a mobile learning environment.

A knowledge engineering approach is proposed to assist teachers in defining metadata of e‐libraries to meet the need of training observation and classification skills. Based on the innovative approach, an e‐library of butterfly and ecology has been developed. Moreover, an experiment was conducted from March‐April 2007 on the science course “Butterfly and Ecology” at an elementary school in Taiwan. There were two teachers and 35 students participated in the experiment.

Experimental results showed that the e‐library developed with the innovative approach is able to effectively support the training of observation and classification skills for elementary school students.

Currently, the innovative approach has only been applied to the training of observation and classification knowledge. Further studies will be needed to assist teachers in defining metadata of e‐libraries for other educational objectives, such as “analysis” (the ability to separate material or concepts into component parts so that its organizational structure may be understood), “synthesis” (the ability to put parts together to form a new whole) and “evaluation” (the ability to judge the value of material for a given purpose).

With the innovative approach, personalized supports can be provided as a guide for students' learning. Moreover, students are allowed to face the real objects with technology‐rich supports during the learning process.

This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students.

This study reviews student-centric literature on m-learning since 2010 and presents insights on m-learning while applying well-established bibliometric techniques. Consequently, 722 articles published in the past decade were evaluated by identifying key research areas, most influential authors, countries, journals and organisations. Most influential studies based on number of citations were also examined.

Through article co-citation analysis, four clusters representing m-learning literature were identified: concept of m-learning, application of m-learning in education, designing framework for model learning/acceptance and emerging technologies.

As mobile learning (m-learning) has undergone an evolution from being an emerging field to a significant teaching and research tool, it is pertinent to explore and identify the trends of m-learning research.