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This paper aims to provide a critical reflection on the Great Resignation in the hospitality and tourism industry in the wake of the COVID-19 pandemic. Specifically, this paper reviews the causes and effects of the Great Resignation, addresses the labor shortage in this industry and proposes strategies that can help manage the challenges.

This paper is based on a critical analysis of emerging phenomena, related literature and researchers’ experiences and insights.

The Great Resignation has presented unprecedented challenges for the hospitality and tourism industry. A closer examination reveals that the pandemic has served as a catalyst rather than a leading cause of this trend. Workforce issues are becoming increasingly complex under contemporary influences, including internal elements such as new explications at work and external factors like the gig economy and technology implementation.

This study provides practical implications on how Hospitality and Tourism practitioners can respond to the Great Resignation on micro, meso and macro levels. The practical implications revolve around employees’ changing needs and preferences in the wave of Great Resignation, as well as the necessity for employers’ reflection and improvement.

This study marks an initial attempt to provide a critical assessment of a contemporary issue involving the Great Resignation. This paper extends its discussion through an advanced analysis of the issue, offers suggestions to manage current obstacles related to labor issues in hospitality and tourism, and illuminates future research directions.

The purpose of this study is to examine the role of consumption emotion in the digital food-ordering experience by comparing the performances of the three digital ordering methods in an experimental design.

A research model was developed based on the Feelings-as-Information (FaI) theory and the expectancy-disconfirmation theory. A 3 × 2 between-subjects lab experiment was conducted to compare the three digital ordering methods (online, mobile or chatbot) in two different types of restaurants (quick-service or full-service).

The results indicate that the chatbot ordering method evoked more negative emotions and less positive emotions than the other two methods. The online ordering method worked the best for quick-service restaurants, whereas the mobile ordering method was most suitable for full-service restaurants. Both positive and negative emotions (comfort and annoyance) significantly mediated the relationships between the ordering method and internal responses (satisfaction and behavioral intention). Only one negative emotion (anger) significantly mediated the relationship between the ordering method and order amount.

This is the first study that attempts to explore and compare consumers’ emotional responses resulting from restaurant digital ordering experiences in the context of the three food-ordering methods. The use of the FaI theory strengthens the theoretical foundation of research on emotion in the hospitality field. This study also pioneers the application of chatbot technology in the restaurant industry.

本论文旨在研究消费情感在线上点菜体验中的作用, 采用实验设计中的三种线上点菜方式。

本论文基于情绪即信息（Fal理论）和期望-不一致理论创建了研究模型。实验设计为3×2被试间设计来比较三种线上点菜方式（在线、手机、或聊天机器人）在两种不同餐厅类型（快餐vs全服务餐厅）

研究结果表明, 聊天机器人点菜方式相比较其他两种方式, 将带来更多负面情绪和较少的正面情绪。在线点菜方式最适用于快餐类型的饭店, 手机点菜方式最适合全服务餐厅。正面和负面情绪（舒服和烦恼）都对点菜方式和情绪反应（满意度和行为意图）之间的关系起到中介作用。只有一种负面情绪（愤怒）对在线方式和点菜量之间存在显著的中介作用。

本论文是首篇探索和对比消费者面对三种点菜方式, 在餐厅线上点菜体验的情绪反应。本论文使用Fal理论巩固了酒店管理领域中情感研究的理论深度。本论文还探索了饭店中对聊天机器人应用的科研。

The purpose of this study was to examine consumers' dining behaviors and explore their decision-making process when dining out during the COVID-19 pandemic.

Based on the extended parallel process model (EPPM) and the related literature, a conceptual model was developed and tested. This study conducted an online survey with 351 responses. In addition, a series of statistical analyses, including descriptive analyses and path analyses, were conducted to analyze the associations among key constructs in the proposed model.

The findings of this study confirmed the pragmatic utility of applying EPPM in a hospitality management context. The findings of this study also outline the different nature between the participants' enactment of self-protective measures and dining out activities. Lastly, while consumers are hesitant about dining out, the results showed that consumers' dining behaviors are directly related to their personality trait of sensation-seeking.

This study was delimited to a cross-sectional design and self-reported data. Such information may provide insights into individuals' decision-making and behaviors related to dining in a COVID-19 context. In addition, this study only includes US samples, while future studies can extend this study by including samples from different countries and cultural backgrounds.

This study adopts an interdisciplinary approach, which derives from tourism and hospitality management and public health. As a result, the findings of this study not only identify the major influencers affecting consumers' dining behavior but also help contextualize a public health model and contribute to the tourism and hospitality management literature.

Guided by the theory of planned behavior and the technology acceptance model, the purpose of this study was to comprehensively examine the factors that affect consumers' intentions to continue to use food delivery apps by developing and testing a research model and examining the differences between consumers with different demographic characteristics or behavior changes during the coronavirus disease 2019 (COVID-19) pandemic.

An online survey instrument was developed, and 316 valid responses were collected. A measurement model was developed and tested by using the structural equation modeling partial least squares (SEM-PLS) method.

The four basic constructs in the theory of planned behavior model (attitude, subjective norms, perceived behavioral control and trust) positively predicted consumers' intentions to continue to use food delivery apps. Predictors (including perceived innovativeness, hedonic and utilitarian motivations, perceived usefulness, perceived ease of use, and food safety risk perception) of these four basic constructs were also identified and confirmed. Multigroup analyses were conducted, and differences were found between male and female consumers and those with different ordering frequencies during the COVID-19 pandemic.

This study expanded the application of the theory of planned behavior by examining consumers' intentions to continue using food delivery apps and improved the authors’ understanding of this theory. Further, the successful application of the technology acceptance model improved the authors’ understanding of consumers' attitudes and behavioral intentions related to food delivery app usage.

The purpose of this study was to examine consumer’s perceptions of cloud kitchens, including the influence of perceived innovativeness (PI), utility motivations (price and food varieties), and food safety risk perceptions (FSRP) on trust; the impact of hedonic motivations and trust on attitude; and the moderating effect of FSRP on the relationship between utility motivations (food varieties) and trust. The relationships were examined with respect to gender and marital status.

The Theory of Consumption Value served as the theoretical underpinning of this study. Data was collected with an online survey (n = 316) using the Qualtrics panel. The partial least squares–structural equation modeling method was used to analyze the survey data.

PI, utilitarian motivations (price) and hedonic motivations (food varieties) positively influenced trust, whereas trust positively influenced attitude. FSRP negatively impacted trust and moderated the relationship between utility motivations (food varieties) and trust. Hedonic motivations positively influenced consumers’ attitudes. Multi-group analyses highlighted the differences attributed to gender and marital status.

PI and utility motivations influenced trust, supporting the notion that consumers are open to new and convenient ways to order food. Additionally, the negative influence of FSRP on trust and its moderating role on the path between food varieties and trust highlights the importance of FSRP on food consumption. Finally, this study provided insight into the influence of gender and marital status on perceptions of ordering from cloud kitchens.

The cloud kitchen business model is undergoing exponential growth, and this study provides an understanding of cloud kitchens from a consumer’s perspective.

This study explored how food allergies have affected food-related behaviors and quality of life of college students with food allergies and identified factors influencing food choice decisions among this group of individuals.

One-on-one interviews were conducted with 26 college students with self-reported or clinically diagnosed food allergies, recruited from two universities located in the southern region of the United States. The participants were asked a series of questions based on a semi-structured discussion guide. Each interview lasted about 30 min; all interviews were audio-recorded and transcribed verbatim. The transcriptions were coded independently by three researchers, and themes were identified.

Food allergies affected the participants' food-related behaviors, including eating, food preparation and shopping, as well as some aspects of their quality of life. Individual factors, such as mood, other diseases, cultural background and sensory properties, also influenced food choices. Friends and families were the two most important social influencers of food choices. Regarding physical environmental factors, cost, convenience, value and variety were considered important in selecting food. However, the participants' food choices were less influenced by food advertisements and social media. Additionally, experiences and complex cuisines were also key factors in making food choices.

Theoretically, this qualitative study applied a food choice decision framework in the context of college students with food allergies. Practical recommendations are provided, particularly to campus dining facilities, to fulfill the needs of college students with food allergies.

This study advanced the understanding of the complexity of food choice decision-making among college students with food allergies. A path diagram specific to food choice among college students with food allergies was developed based on the results of this study. This study also highlighted that food allergy management would involve various behavioral changes and revealed that the food choices are influenced by a wide range of factors.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

The authors focus on a non-Western setting that has hardly featured in debates around political authenticity, Taiwan. The authors also adopt a novel inter-generational perspective to look at varying attitudes towards two ‘unconventional’, high-profile politicians, Ko Wen-je and Han Kuo-yu. Drawing on focus group data, the authors note the similarities and differences in the way that the different generations engage with, and assess, the two politicians with a particular focus on the extent to which their personalities, appearance, and everyday activities are perceived as authentic.

Semi-crystalline polymers such as polyamide-12 can be used for selective laser sintering (SLS) to make near-fully dense plastic parts. At present, however, the types of semi-crystalline polymers suitable for SLS are critically limited. Therefore, the purpose of this paper is to investigate the processibility of a new kind of semi-crystalline polypropylene (PP) with low isotacticity for SLS process.

The SLS processibility of the PP powder, including particle size and shape, sintering window, degree of crystallinity and degradation temperature, was evaluated. Effects of the applied laser energy density on the surface micromorphology, density, tensile strength and thermal properties of SLS-built PP specimens were studied.

The results show that the PP powder has a nearly spherical shape, smooth surfaces, an appropriate average particle size of 63.6 μm, a broad sintering window of 21 oC and low crystalline degree of 30.4 per cent comparable to that of polyamide-12, a high degradation temperature of 381.8°C and low part bed temperature of 105°C, indicating a very good SLS processibility. The density and the tensile strength first increase with increasing laser energy density until they reach the maximum values of 0.831 g/cm3 and 19.9 MPa, respectively, at the laser energy density of 0.0458 J/mm², and then decrease when the applied laser energy density continue to increase owing to the degradation of PP powders. The complex PP components have been manufactured by SLS using the optimum parameters, which are strong enough to be directly used as functional parts.

This paper provides a new knowledge for this field that low-isotacticity PPs exhibit good SLS processibility, therefore increasing material types and broadening the application of SLS technology.