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Drawing on a contagion-interpretation model of leader affective displays and leader effectiveness, the purpose of this paper is to examine the effects of leaders’ angry feedback on followers’ cognitive and affective reactions, and ultimately, perceived leader effectiveness across different cultural contexts.

In this paper, two experimental studies were conducted with a total of 528 participants.

The results revealed a culturally divergent cognitive effect: in Western cultures where vertical collectivism is low, leaders’ angry feedback reduced followers’ inferred developmental intention and subsequently, perceived leader effectiveness, whereas in East Asian cultures where vertical collectivism is high, leaders’ angry feedback reduced the two variables to a lesser extent or did not have any effect. In contrast, there was a culturally convergent emotional effect: the impact of leaders’ angry feedback on followers’ negative emotions and subsequently, perceived leader effectiveness was the same, regardless of the level of vertical collectivism.

This research is the first to demonstrate that culture – in particular, the dimension of vertical collectivism – has different impacts on the two mechanisms (i.e. cognitive and affective) through which leader’s angry feedback influences followers’ perceived leader effectiveness.

Aged-care work has become an extreme form of work. Anti-violence HRM, comprising practices to combat workplace violence, is important in an industry with widespread violence. In this paper, we employ social exchange theory to better understand the effect of anti-violence HRM and trust in the manager on perceived nurse and PCA cynicism working in Australian aged care facilities and their subsequent intention to leave.

This study used a mixed method with two stages. Stage 1 comprised semi-structured interviews with 10 managers and 50 nurses and PCAs working in Australian aged care facilities. Stage 2 comprised a survey of nurses and PCAs with a total of 254 completed responses in Time 1 (first wave) and 225 completed responses in Time 2 (second wave).

We tested three hypotheses and reported that interestingly anti-violence HRM was positively associated with organisational cynicism. Organisational cynicism mediated the relationship between anti-violence HRM and intention to leave. Worker trust in the manager moderated the relationship between anti-violence HRM practices and organisational cynicism, such that high levels of trust in the manager increased the effect of anti-violence HRM practices to reduce organisational cynicism and subsequently reduce intention to leave.

We find evidence that in aged care, workers' trust in their managers is critical for effectual anti-violence HRM. We argue that implementation of HRM practices may be more complex in extreme work settings. It is crucial to study HRM in situ and understand the root of social exchange(s) as a foundation for HRM to influence employee attitudes and behaviour.

The main purpose of this chapter is to examine the attitudes and behaviors of digital consumers in omnichannel world. For this purpose, in order to understand the behavior of digital consumers, literature review has been made. The transformation of traditional consumers into digital consumers has been examined within the framework of marketing periods. What are the new types of consumers and demographic and psychographic characteristics of these, and how they are segmented in the market are important issues. Another important issue is how digital environmental factors affect digital consumers when shopping online. Purchasing processes of digital consumers and their behaviors, which channels they use and how they make purchasing decisions play an important role in understanding digital consumer behaviors. After the purchasing decision, it is examined whether digital consumers will transfer their experiences to other consumers, satisfaction and loyalty experiences, and whether they will buy again in digital environmental.

Pre-pandemic research demonstrated the challenges of the nursing workforce and the provision of quality of patient care. Such challenges have been significantly intensified during the COVID-19 pandemic, not least in the workplace and fear of staff catching and transmitting COVID-19. We draw on conservation of resources (COR) theory to examine the impact of the fear of COVID-19 on nurses and the role of well-being-HRM (WBHRM) in negating the fear of COVID-19 and its impact on job stress and perceived quality of patient care.

We collected data from 260 nurses (treating COVID-19 patients) employed in US hospitals across two-waves. Data were analyzed using mediated regression and moderated mediation.

The results indicated that when nurses report higher levels of fear of COVID-19, this translates into higher levels of nursing job stress. This, in turn, reduces nurses’ perceptions of quality of patient care they can provide. As previous research has found, decreased perceptions of quality of patient care is a significant factor driving intentions to leave the profession. The results demonstrated that WBHRM practices buffer the negative impact of fear of COVID-19 on job stress, and in turn, the perceived quality of patient care.

Our paper contributes to new knowledge for healthcare managers on WBHRM bundles and their efficacy in buffering the effects of fear on job stress and quality of patient care. We contribute new knowledge on fear at work and how to manage employees’ fear through WBHRM practices.

This study aims to establish the linkage among export tax rebate (ETR), firm innovation and product quality of Chinese agricultural product processing industry (APPI), so that more targeted policy implications can be discussed.

Using highly disaggregated firm-product-destination-level data through 2001 to 2013 of Chinese APPI, this study employs a two-way fixed effects specification to establish the linkage between ETR and product quality, while the mediational model is adopted to examine potential mechanisms.

Baseline estimates show that a 1% increase in ETR rate leads to a significant increase in the product quality of APPI by 0.12% on the whole. However, there is a nonlinear, inverse-U shaped relationship between ETR and product quality, and the optimal inflection point occurs when ERT rate equals 0.15. Mechanism analyses show that firm innovation is an important impact channel, which explains 9.8% of quality improvement induced by raising ETR. Further heterogeneous analyses reveal both the total effects of ETR on product quality and the mediation effects of innovation are dominated by young SMEs (small and medium-size enterprises).

Authorities can promote the innovation and then product quality improvement of young SMEs by moderately increasing ETR rate. To ensure ETR more effective in improving quality, it is necessary for the government to encourage innovation. Authorities can reduce the risk of innovation failure for low-tech firms by increasing R&D subsidies, while ensuring innovation returns for high-tech firms in combination with stronger intellectual property protection.

First, this is one of the earlier studies to explore the relationship between ETR and product quality specifically for Chinese APPI. Second, we show firm innovation as an important mediator so that policies aim at raising ETR rates are eventually beneficial to product quality. Third, using the highly disaggregated data, we allow ETR rate to vary across different products, which is an improvement in the accuracy of previous literature. Finally, our research provides additional empirical evidence for revealing the micro-mechanism of ETR affecting firm behaviors.

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

Purpose: Preserving a country’s culture is crucial for its sustainability. Handicraft is a key draw for tourism destinations; it protects any civilisation’s indigenous knowledge and culture by managing the historical, economic, and ecological ecosystems and perfectly aligns with sustainable development. It has a significant role in creating employment, especially in rural regions and is an essential contributor to the export economy, mainly in developing nations. The study focuses on the skills required and existing gaps in the handicraft industry, its development and prospects by considering women and their role in preserving and embodying the traditional art of making handicrafts.

Approach: A framework has been developed for mapping and analysing the skills required in the handicraft sector using econometric modelling; an enormous number of skills have been crowdsourced from the respondents, and machine learning techniques have been used.

Findings: The findings of the study revealed that employment in this area is dependent not only on general or specialised skills but also on complex matrix skills ranging from punctuality to working in unclean and unsafe environments, along with a set of personal qualities, such as taking initiatives and specific skills, for example polishing and colour coding.

Implications: The skills mapping technique utilised in this study is applicable globally, particularly for women indulged in casual work in developing nations’ handicrafts industry. The sustainable development goals, tourism, and handicrafts are all interconnected. The research includes understanding skills mapping, which provides insights into efficient job matching by incorporating preferences and studying the demand side of casual working by women in the handicraft sector from a skills perspective.

First, the authors analyze the key problems faced by the protection of digital library readers' data privacy and behavior privacy. Second, the authors introduce the characteristics of all kinds of existing approaches to privacy protection and their application limitations in the protection of readers' data privacy and behavior privacy. Lastly, the authors compare the advantages and disadvantages of each kind of existing approaches in terms of security, efficiency, accuracy and practicality and analyze the challenges faced by the protection of digital library reader privacy.

In this paper, the authors review a number of research achievements relevant to privacy protection and analyze and evaluate the application limitations of them in the reader privacy protection of a digital library, consequently, establishing the constraints that an ideal approach to library reader privacy protection should meet, so as to provide references for the follow-up research of the problem.

As a result, the authors conclude that an ideal approach to reader privacy protection should be able to comprehensively improve the security of all kinds of readers' privacy information on the untrusted server-side as a whole, under the premise of not changing the architecture, efficiency, accuracy and practicality of a digital library system.

Along with the rapid development of new network technologies, such as cloud computing, the server-side of a digital library is becoming more and more untrustworthy, thereby, posing a serious threat to the privacy of library readers. In fact, the problem of reader privacy has become one of the important obstacles to the further development and application of digital libraries.

This study aims to examine how three perceived interactivity attributes of massive open online courses (MOOCs), namely, perceived active control, perceived synchronicity and perceived two-way communication, impact individuals' engagement and continuance intention of MOOCs through the stimulus-organism-response (S-O-R) lens and how that effect differs between male and female users.

Drawing upon S-O-R as an overarching theoretical framework, this study conducted an empirical study in China and collected 294 valid questionnaires from online learners. Structural equation modeling approach was used to examine the proposed research model.

Empirical results suggest that perceived active control, perceived synchronicity and perceived two-way communication are significant stimuli of individuals' continuance intention of MOOCs, and the influences of perceived active control and perceived synchronicity are partially or fully mediated by engagement on the platform. Multi-group analysis results further indicate that perceived synchronicity has a stronger influence on engagement on the platform for males, while perceived active control and perceived two-way communication are more salient in stimulating engagement on the platform for females.

Research findings from the present study can serve as the foundation to guide MOOCs’ administrators to respond to the needs of participants through interactivity designed into the platform and shed light on possible key solutions of high dropout rates in MOOCs.

This study uncovers the mediating mechanism of affective engagement between interactivity and continuance intention in the emerging context of the latest online learning platform MOOCs and reveals the behavioral differences between females and males regarding their affective reactions to the three interactivity attributes.

The purpose of this paper is to propose an approach for aircraft taking off control in wind shear, which is a challenging issue for an aircraft.

Aircraft control in wind shear needs an anti-jamming controller. Symbolic control is an effective and adaptive method for complex dynamic system. In this paper, wind shear flight control laws are developed for the dynamics of a B-747 aircraft by using symbolic control. The problem of efficiently steering dynamical systems with disturbance by using symbolic control is considered, and theoretical analysis on the proposed approach is also conducted. The implementation of an altitude scheduling strategy with symbolic controller makes it possible for aircraft to escape serious wind shear.

This work improved symbolic control algorithm so that it can be applied to aircraft control problem. A series of comparative experimental results with proportional-integral-derivative controller demonstrate the feasibility and effectiveness of the proposed approach.

The symbolic control method developed in this paper can be easily applied to another aircraft control problems.

An improved symbolic control method is proposed for solving aircraft taking off problem in wind shear.