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The paper's purpose is to investigate the effects of digital finance on the risk of stock price crashes and the underlying transmission mechanisms, and to provide suggestions to inhibit the stock crash risk (CR).

This paper selects all companies that were listed on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2011 to 2020. It then uses the two-way fixed effect model and the intermediary effect model to verify such effects.

The overall outcomes demonstrate such a result that the CR of listed companies in China can be significantly reduced by the development of digital finance, and the overall transparency of business financial information and the equity pledge of controlling shareholders are the two underlying transmission mechanisms that digital finance can cause effects on the CR of stocks.

The main limitations are that there may exist some problems in the method for evaluating the CR of stocks. And there may be a problem of endogeneity caused by the empirical model cannot control all correlation variables.

This paper would provide policy implications, for different roles, to inhibit the stock CR and to make the development of the economy more stabilize.

Digital finance can promote economic development while restraining financial risks at the same time. Therefore, although this study is based on the relevant data from China, it can also provide a reference for other economies with different basic conditions from China, to promote the overall development of the world economy.

The current academic research on digital finance or stock price CR has been relatively sufficient, but there are few papers that combined both. By combining digital finance with stock CR, this paper researches the influence of digital finance on the CR of stocks through empirical analysis. So, this paper would provide new research ideas and evidence for potential influence factors of the CR of stocks, fill the gap in this research field and provide certain help for subsequent scholars to conduct relevant research.

The authors investigated the factors influencing consumer evaluations of advertisements for ethical luxury products that incorporate animal rights and protection concerns. The authors empirically examined how ethical messages influence advertisement persuasiveness through ethical consumer guilt and positively impact consumer evaluations of ethical luxury products. Furthermore, the authors explored the moderating role of consumers’ independent versus interdependent self-construals.

The authors conducted four experimental studies on the interplay among ethicality, luxury brand positioning and self-construal. Moderated mediation analyses revealed that moral emotions were responsible for the effect of ethical luxury advertisements that address animal welfare on brand attitude.

Advertisement messages signaling a luxury brand’s ethical efforts increase empathy through ethical consumer guilt, thereby generating favorable attitudes toward luxury products. However, this effect is limited to consumers with independent self-construal in South Korea and the United States of America.

The authors offer novel insights into the roles of ethical consumer guilt and empathy in the positive effects of ethical messages from luxury brands. Furthermore, the authors identified brand type and self-construal as boundary conditions for the effects observed across different consumer groups and markets.

One of the sectors most affected by the variable weather events caused by climate change and global warming is the aviation sector. Especially in aircraft accidents, weather events increasing with climate change and global warming are effective. The purpose of this study is to determine how much the change in weather conditions caused by global warming and climate changes affect the aircraft in the world between the years 2010 and 2022.

In this study, it was investigated which weather events were more effective in aircraft crashes by determining the rates of air events and aircraft crashes in aircraft crashes with a passenger capacity of 12 or more that occurred between 2010 and 2022.

It is clearly seen that increasing weather conditions with global warming and climate change increase the effect of weather conditions in aircraft crashes.

The difference of this study from other studies is the evaluation of the data of the past 12 years, in which the increasing consequences of global warming and climate change have been felt more. It also reveals the necessity of further research on the effects of weather conditions on aircraft.

The paper aims to develop an efficient data-driven modeling approach for the hydroelastic analysis of a semi-circular pipe conveying fluid with elastic end supports. Besides the structural displacement-dependent unsteady fluid force, the steady one related to structural initial configuration and the variable structural parameters (i.e. the variable support stiffness) are considered in the modeling.

The steady fluid force is treated as a pipe preload, and the elastically supported pipe-fluid model is dealt with as a prestressed hydroelastic system with variable parameters. To avoid repeated numerical simulations caused by parameter variation, structural and hydrodynamic reduced-order models (ROMs) instead of conventional computational structural dynamics (CSD) and computational fluid dynamics (CFD) solvers are utilized to produce data for the update of the structural, hydrodynamic and hydroelastic state-space equations. Radial basis function neural network (RBFNN), autoregressive with exogenous input (ARX) model as well as proper orthogonal decomposition (POD) algorithm are applied to modeling these two ROMs, and a hybrid framework is proposed to incorporate them.

The proposed approach is validated by comparing its predictions with theoretical solutions. When the steady fluid force is absent, the predictions agree well with the “inextensible theory”. The pipe always loses its stability via out-of-plane divergence first, regardless of the support stiffness. However, when steady fluid force is considered, the pipe remains stable throughout as flow speed increases, consistent with the “extensible theory”. These results not only verify the accuracy of the present modeling method but also indicate that the steady fluid force, rather than the extensibility of the pipe, is the leading factor for the differences between the in- and extensible theories.

The steady fluid force and the variable structural parameters are considered in the data-driven modeling of a hydroelastic system. Since there are no special restrictions on structural configuration, steady flow pattern and variable structural parameters, the proposed approach has strong portability and great potential application for other hydroelastic problems.

This study comprehensively depicts the state of the art on sustainability research in the meat supply chain to advance the debate on challenges and issues associated with developing sustainable supply chain management practices.

The authors conducted a systematic literature review of 333 articles published in peer-reviewed journals and organized the extant literature into five areas of supply chain management practices: strategic orientation, continuity, collaboration, risk management, and proactivity.

Since 2016, the meat supply chain has received increasing scholarly attention. The literature shows the diffusion of highly heterogeneous sustainability practices related to multiple management areas and levels of analysis (institutional, industry, firm). The need for integrated, multilevel initiatives involving different stakeholders becomes increasingly crucial to the transition towards more sustainable meat supply chains.

This study highlights the importance of regulatory and stakeholder pressures in the sustainability transition. Beyond setting regulatory requirements, policymakers may facilitate the establishment of collaborations within the meat supply chain and foster the development of support services that help firms to integrate sustainability in their business models. The review also alerts entrepreneurs and managers to the benefits from cooperating with their supply chain partners to navigate the industry transition and thus more effectively respond to the demands of stakeholders and to the increasing customers’ awareness of sustainability issues.

This study is the first to systematize the corpus of knowledge on the sustainability of the meat supply chain by adopting a comprehensive approach to analyze relevant management and agriculture literature.

Recent reviews of field experiments aiming to entice tourists to behave in more environmentally sustainable ways conclude that attitudes – while the primary target – do not perform as well as expected. The purpose of this study is to analyse in detail when attitudes have or have not been successful as behavioural change targets and propose a conceptual framework of possible explanations. In so doing, this study represents the first theoretical – rather than empirical – challenge to the currently dominant theoretical understanding of environmentally significant tourist behaviours and offers alternative theoretical constructs tourism researchers aiming to make tourists behave in more sustainable ways could investigate in future.

The authors investigate in detail experiments where attitude-based behavioural change approaches failed. Based on the insights from this analysis, the authors propose a conceptual framework offering five potential explanations. This study also discusses alternative theoretical constructs that could be used for behavioural change interventions.

The authors derive five potential explanations for why attitudes often fail to trigger behavioural change in the context of environmentally sustainable tourist behaviour: tourists do not notice messages attempting to change their attitudes; tourists are unwilling to cognitively process behavioural change messages; tourists develop reactance to behavioural change requests; attempts to alter attitudes do not influence habits; and attempts to alter attitudes do not reduce the effort associated with displaying the desired behaviour.

This study broadens research attention to alternative theoretical constructs that may be more effective in making tourists behave in more sustainable ways and opens opportunities for new measures tourism businesses and destinations can implement to influence tourist behaviour.

To the best of the authors’ knowledge, this is the first theoretical investigation of possible reasons why attitudes have performed poorly as targets of behavioural change interventions aiming to trigger environmentally sustainable tourist behaviours.

For online experiential products, tactile attributes are important but hard-to-achieve features. This research aims to explore consumers' emotional experiences by incorporating tactile attributes into the online clothing shopping scenario.

This paper presents two online shopping experiments by consumers who purchase online clothing: one experiment involves subjects browsing clothing products on a computer screen; the other one involves subjects touching the clothing fabric while browsing a corresponding product on a computer screen. Based on the stimulus–organism–response (S-O-R) model, a physiological polygraph was used to record the emotional experience of subjects under the stimuli of “sight” and “sight + touch.”

(1) Subjects had a more positive emotional arousal under the stimuli of “sight + touch”; (2) the visual merchandising of clothing and expected touch task affect subjects' overall emotional experience with clothing, and with a good visual experience and expected tactile experience, the subjects showed a more positive emotional valence under the stimuli of “sight + touch”; (3) differing from previous research, this experimental data only supports the hypothesis that the skin conductance indicator is related to the level of emotional arousal, without supporting its correlation with emotional valence. However, the heart rate indicator is correlated with emotional valence but not with emotional arousal.

This work proposes a way to study the tactile attributes of online clothing and enriches the theoretical framework of polygraph and the S-O-R model for the research of online experiential products, and in terms of application, it sheds light on sales strategies of online experiential products for retailers and brand owners.

As China has pressed ahead with rural revitalization in recent years, its rural financial sector has also developed rapidly and the financial environment has been greatly improved. But compared with urban areas, the rural financial sector makes rather limited contributions to rural economic development for a variety of reasons, including single types of service providers, narrow coverage, and lack of services and products. The underdevelopment of the rural financial system is closely related to the characteristics of its target customers and the economic system. The deficient rural financial credit system, the low level of IT application, the difficulty in data collection and integration, and the insufficient collateral of farmers pose high costs and huge risks for financial institutions when providing credit and other financial services.

In the present case, fintech and financial innovation complement each other: The application of fintech makes innovation possible, and the need for financial development fuels the development of fintech. Leveraging fintech and new business models, MYbank has overcome the main obstacles in the development of rural finance to provide convenient financial services for farmers and rural MSEs. Fintech is the abbreviation of “financial technology.” It can be understood as the combination of finance and technology for easier understanding, but it is more than that. Fintech refers to the innovation of traditional financial products and services with various technologies to improve efficiency and reduce operating costs. The emergence and development of fintech have led to the creation of new business models, applications, and processes, which have triggered major changes in financial markets, financial institutions, and the ways financial services are delivered, and are reshaping the financial landscapes of countries and even the world.

There are three major problems in the development of rural finance: difficult access to data, difficult risk management, and difficult market penetration. In order to gradually remove the obstacles and guarantee sustainable business development, MYbank has created three new business models with the power of fintech: digital inclusive finance at the county level, industrial finance, and platform finance. With these models, MYbank is searching for a “Chinese solution” to the worldwide problem of rural inclusive finance.

This chapter employs analytic autoethnography to explore and reflect on the author's quest for meaning and whether this redefines or undermines the concept of authenticity as interpreted by the primary advocates of authentic leadership. The data start from author's studies in the Air Force Engineering Military Academy. Turcan develops the typology of search for meaning and its four types: dreamlanding; self-actualising; missing out; and self-transcending. The meaning of life is conspicuously absent from the authentic leadership literature and yet if a leader does not address it how can they function effectively as a leader? This typology may guide future research at this intersection.

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.