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The purpose of this study is to deepen our understanding of the well-being of transient organizations/groups and to use this to develop a novel conceptual framework of gig worker well-being during times of crisis.

A qualitative approach was adopted combining in-depth semi-structured interviews and daily diaries. Twenty-two workers working in the sharing economy were recruited. Thematic analysis was conducted for the diary and interview data.

The findings illustrate a complex picture of sharing economy workers’ four dimensions of well-being, including physical, subjective, psychological and social well-being. A number of the COVID-19 pandemic contexts, such as more time, restriction, economic recession and uncertainty, were seen to influence these workers’ well-being in different ways including both positive and negative impacts. The precarious nature of gig work within the sharing economy was also found influential, which includes flexibility, uncertainty, temporality and diversity. Furthermore, the specific contexts of the hospitality, tourism and event industry (such as labor-intensive, low esteem, self-value and purpose in life) had also impacted gig workers physical and psychological well-being in various ways.

This study complements the gig workers’ view of the sharing economy by investigating their well-being during the COVID-19 pandemic. In addition, this study reveals the complex and various influences hospitality, tourism and events industry contexts made, amplified by the pandemic. Methodologically, the daily diary approach applied in this research has captured gig workers’ instant feelings and thoughts, which enriches the current understanding of gig workers’ well-being.

From the findings and the newly developed conceptual framework, practical implications are proposed focusing on how the tourism, hospitality and event industries should look after their gig workers’ well-being in the COVID-ized environment. From the physical well-being perspective, businesses should consider partnering with gym operators to provide corporate packages or discounted membership to their gig workers. From psychological well-being perspective, a recognition system integrating gig workers would be useful to strengthen gig workers’ perception of value in their jobs. In addition, technology can be used to introduce more resources to their gig workers, particularly when distancing.

A conceptual framework is developed, which captures the influence of both “internal” and “external” determinants of gig worker well-being during times of crisis. This research contributes to theory by developing a framework of well-being in the context of the sharing economy, as well as explicitly addressing how the uncertainty and precariousness of sharing economy work and the hospitality, tourism and event industry contexts relate to well-being. This model is likely to have applicability beyond COVID-19 as the pandemic made clear many existing challenges – rather than just simply creating new ones.

This study aims to provide researchers in hospitality management with a comprehensive understanding of the experience sampling method (ESM) and to engage them in the use of ESM in their future research. With this critical discussion of the advantages and challenges of the method, researchers can apply it appropriately to deepen and broaden their research findings.

This study chooses an empirical example in the context of hotel employees’ surface acting, tiredness and sleep quality to illustrate the application of ESM. Based on the example, this paper conducts a two-level modeling in Mplus, including a cross-level mediation analysis and mean centering.

This paper demonstrates the applicability and usefulness of ESM for hospitality research and provides a detailed demonstration of how to use the statistical program Mplus to analyze ESM data. With this paper, researchers will be able to consider how to engage ESM in their future studies.

To the best of the authors‘ knowledge, this paper is among the first to provide a hands-on demonstration of ESM to hospitality researchers. The authors call for more research in hospitality management to use ESM to answer complex and pressing research questions.

This paper aims to provide researchers and practitioners with an understanding of abusive supervision in the context of hospitality. It seeks to conduct a comprehensive review of the area and offer recommendations for future research by exploring the antecedents, consequences, mechanisms and designs of research on abusive supervision.

Content analysis was conducted to review and analyze studies on abusive supervision in the context of hospitality. Previous studies were searched in the EBSCO, Scopus, Web of Science and Google Scholar electronic databases.

In total, 36 referred articles related to abusive supervision in hospitality were reviewed across four key areas, namely, antecedents, consequences, mechanisms and research design. After reviewing the research on abusive supervision in the context of hospitality, this paper offers future research directions with respect to research focus and research design.

This paper only included English articles from peer-reviewed journals on abusive supervision. The number of reviewed articles was relatively small. This limitation may have arisen because abusive supervision is a new research field and is still a sensitive topic.

The results of this study may encourage managers to minimize or even halt abusive supervision. From an organizational perspective, formal policies may be developed to regularize supervisors’ behavior. In turn, employees could use this paper to learn further about abusive behavior and how to handle it effectively.

The review highlighted the negative consequences of abusive supervision. Managers should urgently realize the seriousness of abusive supervision and develop effective policies to minimize its negative effect.

This paper contributes to the emerging literature on abusive supervision in the context of hospitality by identifying key research trends and framing the outlines of empirical studies. It identifies research gaps, and as the first review of abusive supervision in hospitality, it may encourage researchers to explore the topic on the basis of the characteristics of the sector and offer suggestions for future research.

Special education in China has lagged behind regular education for many years, however, the past few decades, the government has made considerable efforts to develop and improve the special education system. While the citizens of China have had a generic moral interest in disability since ancient times, the development of special education schools did not occur until American and European missionaries started schools for the visually and hearing impaired in the 19th century. The next major influence in the development of the special education system occurred with China’s Cultural Revolution in 1978. Interestingly, there is not any exclusive legislation on special education but in the 1980s, the government started Learning in Regular Classrooms (LRC), which is China’s version of inclusion. LRC has progressed rapidly the past two decades; however, the quality of instruction is low due to a lack of specialists, a shortage of personnel, inadequate funding, and limited technology as well as other barriers that are delineated in the chapter. The chapter emphasizes the government’s recent efforts in in-service teacher training, the preparation of preservice teachers, working with families, developing community rehabilitation training programs, and implementing evidence-based practices. Special education in China today is at a good place but it has quite a way from the ideal situation.

Electricity consumption prediction has been an important topic for its significant impact on electric policies. Due to various uncertain factors, the growth trends of electricity consumption in different cases are variable. However, the traditional grey model is based on a fixed structure which sometimes cannot match the trend of raw data. Consequently, the predictive accuracy is variable as cases change. To improve the model's adaptability and forecasting ability, a novel fractional discrete grey model with variable structure is proposed in this paper.

The novel model can be regarded as a homogenous or non-homogenous exponent predicting model by changing the structure. And it selects the appropriate structure depending on the characteristics of raw data. The introduction of fractional accumulation enhances the predicting ability of the novel model. And the relative fractional order r is calculated by the numerical iterative algorithm which is simple but effective.

Two cases of power load and electricity consumption in Jiangsu and Fujian are applied to assess the predicting accuracy of the novel grey model. Four widely-used grey models, three classical statistical models and the multi-layer artificial neural network model are taken into comparison. The results demonstrate that the novel grey model performs well in all cases, and is superior to the comparative eight models.

A fractional-order discrete grey model with an adaptable structure is proposed to solve the conflict between traditional grey models' fixed structures and variable development trends of raw data. In applications, the novel model has satisfied adaptability and predicting accuracy.

China's urbanization is a traditional development way of high energy consumption, low efficiency and extensive type. The resulting ecological environment damage and other problems seriously restrict the healthy and sustainable development of the city. Based on this, aiming at the complexity of the system, the multi-objective classification matrix method of fuzzy decision was selected, and the life cycle assessment model of the urban innovation ecosystem under the background of new urbanization in China was constructed. The research on the innovative ecological system planning of a heavy industrial city was carried out, and the wall was greening in the top space of the building. In the town planning, wind energy, solar power system, green corridor and ground floor were designed. Practice has proved that introducing innovative ecosystem into urbanization has played an important role in purifying urban air, increasing urban greening, improving energy structure and air pollution.

This paper aims to explore various tensions related to the diffusion and reception of the New Qing History (NQH) in China, and more specifically, it aims at underlying a recurrent tension within the core of this debate, between a Global and a Nationalist historical narrative.

The author’s focus is to analyze various texts published in China between 2006 and 2018.

The author argues that the intensity of the current debate is partly related on the one hand, to the fact that NQH undermines various aspects of China’s Nationalist teleology and territorial claims and, on the other hand, to the basic difficulty of accepting the coexistence of various historical representations that are risking to weaken contemporary’s justifications of its rising schemes.

The text presents an original reading of some important issues raised by the NQH debate.

The fluctuations that occurred between the power requirements have shown a higher range of voltage regulations and frequency. The fluctuations are caused because of substantial changes in the energy dissipation. The operational efficiency has been reduced when the power grid is enabled with the help of electric vehicles (EVs) that were created by the power resources. The model showed an active load matching for regulating the power and there occurred a harmonic motion in energy. The main purpose of the proposed research is to handle the energy sources for stabilization which has increased the reliability and improved the power efficiency. This study or paper aims to elaborate the security and privacy challenges present in the vehicle 2 grid (V2G) network and their impact with grid resilience.

The smart framework is proposed which works based on Internet of Things and edge computations that managed to perform an effective V2G operation. Thus, an optimum model for scheduling the charge is designed on each EV to maximize the number of users and selecting the best EV using the proposed ant colony optimization (ACO). At the first, the constructive phase of ACO where the ants in the colony generate the feasible solutions. The constructive phase with local search generates an ACO algorithm that uses the heterogeneous colony of ants and finds effectively the best-known solutions widely to overcome the problem.

The results obtained by the existing in-circuit serial programming-plug-in electric vehicles model in terms of power usage ranged from 0.94 to 0.96 kWh which was lower when compared to the proposed ACO that showed power usage of 0.995 to 0.939 kWh, respectively, with time. The results showed that the energy aware routed with ACO provided feasible routing solutions for the source node that provided the sensor network at its lifetime and security at the time of authentication.

The proposed ACO is aware of energy routing protocol that has been analyzed and compared with the energy utilization with respect to the sensor area network which uses power resources effectively.

This paper aims to explore the explanations of “information effect” and “agency effect” of corporate diversification with cross-industry knowledge under a crisis situation.

Based on an event study of 203 public companies’ crises in China between 2008 and 2018, the authors verify the information and agency effects of corporate diversification under a crisis situation by, respectively, examining the effects of interactions of corporate unrelated diversification with corporate transparency and knowledge deficiency attribution on the stock market’s responses to the crises.

It is found that corporate unrelated diversification serves as a buffer in protecting firm value while attribution of knowledge deficiency can be a burden. The buffering effect is stronger when the corporate transparency is higher but weaker when the crisis is attributed to be caused by corporate tacit knowledge deficiency.

Unrelated diversified firms should strengthen information communication with stakeholders so as to break down the stakeholders’ cross-industry knowledge barriers, and thus protect their own value at the crisis’ onset. Also, they can further buffer the loss by reducing stakeholders’ perceptions of the corporate tacit knowledge deficiency revealed in the crisis.

This study is the first to illustrate that the information and agency effects of corporate diversification strategy can be partially explained under a crisis situation, which provides meaningful insights about how firms can conduct knowledge management in their daily operations to deal better with corporate crises.

Blockchain technology has created possibilities for environmental supply chain sustainability and climate protection. However, because of its early development stage, users tend to resist the adoption of this new technology. The purpose of this study is to investigate the effects of resistance on blockchain adoption intentions in the context of the foodservice industry. This study further explores if public pressures and climate change awareness could possibly weaken the negative relationships between blockchain resistance and adoption intentions.

Data were collected from managers and full-time employees in the foodservice industry, using an online research panel survey. A structural equation model was developed and tested to examine the hypothesized relationships. Additionally, a multi-group analysis was performed to test the moderating roles of public pressures and climate change awareness.

The findings from this study confirmed that foodservice employees’ characteristics, including traditional barriers, and blockchain technology factors, like perceived risk, are both significant in forming resistance to blockchain. This study also demonstrated the significant roles of internal and external stakeholders in weakening the negative associations between blockchain resistance and adoption intentions.

This study recommends that foodservice companies address how to reduce their employees’ negative perceptions about changes imposed by blockchain adoption. This study also suggests the joint consideration of the pressures from internal and external stakeholders to provide continued insights into developing environmental practices for the foodservice industry.

This study extends the theoretical underpinning of the innovation resistance theory by incorporating the stakeholder theory as a strong foundation for understanding how external pressures and internal awareness may influence foodservice employees’ responses to the implementation of blockchain technology to mitigate climate change.