Background Respect for patients’ autonomy is usually considered to be an important ethical principle in Western countries; privacy is one of the implications of such respect. Healthcare professionals frequently encounter ethical dilemmas during their practice. The past few decades have seen an increased use of courts to resolve intractable ethical dilemmas across both the developed and the developing world. However, Chinese and American bioethics differ largely due to the influence of Chinese Confucianism and Western religions, respectively, and there is a (...) dearth of comparative studies that explore cases of ethical dilemmas between China and the United States. Methods This paper discusses four typical cases with significant social impact. First, it compares two cases concerning patient privacy: the “Shihezi University Hospital Case”, in which a patient was used as a clinical teaching object without her permission, and the “New York-Presbyterian Hospital Case”, in which the hospital allowed the filming of a patient’s treatment without his consent. Second, it compares two cases regarding patient autonomy and potentially life-saving medical procedures: the “Case of Ms. L”, concerning a cohabitant’s refusal to sign a consent form for a pregnant woman’s caesarean, and the “Case of Mrs. V”, concerning a hospital’s insistence upon a blood transfusion for a dissenting patient. This paper introduces the supporting and opposing views for each case and discusses their social impact. It then compares and analyses the differences between China and the United States from cultural and legislative perspectives. Conclusions Ethical dilemmas have often occurred in China due to the late development of bioethics. However, the presence of bioethics earlier in the US than in China has not spared the US of ethical dilemmas. This paper highlights lessons and inspiration from the cases for healthcare professionals and introduces readers to the role and weight of privacy and autonomy in China and in the US from the perspectives of different cultures, religions and laws. (shrink)

In this study, we examine whether, how, and when corporate social responsibility increases promotive and prohibitive voices in accordance with ethical climate theory and multi-experience model of ethical climate. Data from 382 employees at two time points are examined. Results show that CSR is positively related to promotive and prohibitive voices. Other-focused and self-focused climates mediate the relationship between CSR and the two types of voice. Moreover, humble leadership moderates the positive relationship between CSR and other-focused climate. Such leadership moderates (...) the negative relationship between CSR and self-focused climate. Humble leadership also moderates the indirect effect between CSR and the two kinds of voice through other-focused and self-focused climates. The findings of this study provide important insights into how and when CSR influences employee voice. (shrink)

Although previous studies focus on the role of women in the boardroom and corporate response to natural disasters, none evaluate how women directors influence corporate philanthropic disaster response (CPDR). This study collects data on the philanthropic responses of privately owned Chinese firms to the Wenchuan earthquake of May 12, 2008, and the Yushu earthquake of April 14, 2010. We find that when at least three women serve on a board of directors (BOD), their companies’ responses to natural disasters are more (...) significant. Age diversity among women on BODs as well as good corporate profitability (e.g., high earnings per share) positively moderates the relationship between women on BODs and CPDR. (shrink)

The target article by Laacke et al. focuses on the specific context of identifying people in social media with a high risk of depression by using artificial intelligence technologies. I...

Abusive supervision negatively affects its direct victims. However, recent studies have begun to explore how abusive supervision affects third parties. We use the emotion-based process model of schadenfreude as a basis to suggest that third parties will experience schadenfreude and increase their work engagement as a response to peer abusive supervision. Furthermore, we suggest that the context of competitive goal interdependence facilitates the indirect relationship between PAS and third parties’ work engagement on schadenfreude. We use a mixed-method approach to test (...) our hypotheses. Data from an experimental study conducted by facial expression analysis technology and a multi‐wave field study generally support our hypotheses. Overall, our study extends PAS literature and meaningfully informs practitioners who aim to promote ethical workplace environments. (shrink)

Many corporations actively engage in political activities to enhance their relationships with politicians, facilitating access to scarce resources and creating competitive advantages. We investigate corporate donations to explore how they initiate interactions between firms and new local leaders in China. Specifically, we propose that political turnover creates unique opportunities for firms to win over new officials via corporate donations, especially in competitive markets. Moreover, we find that firms that make generous donations at the beginning of a new city secretary’s tenure (...) receive more attention from representatives of new local leaders, especially firms that were politically disadvantaged under a predecessor’s governance. Empirical studies on the turnover of city secretaries between 2001 and 2012 in China strongly support our hypotheses. Consequently, this study improves our understanding of how corporate donations initiate social exchanges between firms and politicians. (shrink)

Against the scourge of the COVID-19 pandemic, college students’ learning engagement has become a key issue in universities and society. Guided by the theories of existential positive psychology and social perception, we explored the positive effect of a growth mindset on learning engagement during the COVID-19 pandemic. A total of 1,040 college students from universities in Henan Province of China effectively completed online questionnaires. The results showed that growth mindset was positively related to learning engagement and negatively associated with perceived (...) COVID-19 event strength and perceived stress; perceived COVID-19 event strength was positively related to perceived stress, while perceived COVID-19 event strength and perceived stress were negatively associated with learning engagement. Growth mindset affected learning engagement through three indirect paths: the mediating role of perceived COVID-19 event strength, the mediating role of perceived stress, and the serial mediating role of both perceived COVID-19 event strength and perceived stress. The results indicated that the growth mindset could contribute to college students’ learning engagement through the roles of perceived COVID-19 event strength and perceived stress during the COVID-19 pandemic. This study advances the understanding of the mechanism underlying the relationship between growth mindset and college students’ learning engagement during the COVID-19 pandemic. Furthermore, the findings of the study have important implications for promoting college students’ learning engagement during the pandemic. (shrink)

This study examines why and when negative workplace gossip promotes self-serving behaviors by the employees being targeted. Using conservation of resources theory, we find that targets tend to increase their political acts as a result of ego depletion triggered by negative gossip. We also show that sensitivity to interpersonal mistreatment and moral disengagement moderate this process. Specifically, we demonstrate that targets with high levels of sensitivity to interpersonal mistreatment are more likely to experience ego depletion, and that targets with high (...) levels of moral disengagement will find it easier to persuade themselves to engage in political acts. We conducted a three-wave time-lagged survey of 265 employees in Guangdong, China, to test our hypotheses. The results support our theoretical model and indicate that COR theory can be used to explain the impacts of negative workplace gossip. Alongside our important and timely theoretical contributions, we provide new perspectives on how managers can avoid or mitigate these political acts. (shrink)

This study addresses the question whether corporate social responsibility (CSR) matters in Asian Emerging Markets. Based on CSR scores compiled by Credit Lyonnais Securities (Asia), we assess the CSR performance of major Asian firms over a period of 3 years, from 2001 to 2004. The results show that there is a positive and significant relation between CSR and market valuation among Asian firms. We further find that CSR is positively related to the market valuation of the subsequent year. More importantly, (...) Asian firms are rewarded by the market for improving their CSR practice. (shrink)

We explore the potential impact of CEO entrepreneurial orientation on firm choice of CSR activities. Integrating upper echelon theory and attention-based view of the firm, we find that CEO entrepreneurial orientation leads to more engagement in CSR innovation rather than corporate philanthropy. We find that the effect of CEO entrepreneurial orientation on firm choice of CSR activities varies under two situational contexts: state-owned enterprises and incoming/departing CEO. The hypotheses are tested using two different studies. Study 1 uses a cross-sectional survey (...) of Chinese CEOs, whereas study 2 employs a longitudinal analysis of Chinese publicly listed firms from 2003 to 2017. Both studies support our theoretical hypotheses. (shrink)

Emotion management in the workplace is drawing increasing attention from researchers. However, they still know little about how positive leadership affects employees’ emotional labor. Building on social information-processing theory, we examine whether and how a servant leadership style influences employees’ emotional labor. Using a sample of 305 employees in 81 work units of 25 subcorporations at a food company in China, we find that servant leadership relates negatively to surface acting but relates positively to deep acting at work. We also (...) find that the indirect effect of servant leadership on surface/deep acting via affective trust is stronger than the indirect effect via cognitive trust. Our research reveals that servant leadership influences employees’ emotional labor more through affective trust than cognitive trust. We discuss the theoretical and practical implications of our findings. (shrink)

Sequences of individual words make up media reports. And sequences of media reports constitute the power of the news media to influence corporate practices. In this paper, we focus on the micro-foundations of news reports to elaborate how an atmosphere of negative news reports following an initial exposure of corporate pollution activity can help stop such activity through their impact on corporate managers. We extend our understanding of the corporate governance effect of news media by considering two new aspects of (...) reports—one, the proportion of words in negative reports relative to the total number of words in all reports; and two, the geographical origin of news media. We suggest that the more negative the media coverage, and the more local this coverage, the greater the impact on corporations. Our study of news media reports from more than 600 newspaper sources on disciplining pollution activities of listed Chinese firms from 2004 to 2012 provides strong support for our hypotheses. These findings have valuable implications for the handling of pollution issues in transitional economies via the power of news words. (shrink)

The target article by David Alfandre et al. offers a new ethical framework to guide COVID-19 contingency surge planning and response, and applies this ethical framework to three case example...

Ankeny et al. focuses on the recent creation of “iBlastoids” and defends the need for reflexive, anticipatory, and deliberative approaches in the domain of emerging and potentially contentio...

Drawing on conservation of resources theory, we contribute to the behavioral ethics literature by examining how and why organizational socialization processes can affect newcomers’ adoption of unethical behaviors. Specifically, we contend that quality peer coaching provides newcomers with enhanced self-resources that diminishes emotional exhaustion and thus indirectly reduces newcomer unethical conduct. Conversely, peer coach unethical conduct increases newcomers’ emotional exhaustion, and thus indirectly increases newcomers’ own unethical acts. Our research also identifies newcomers’ goal orientations as important individual differences that moderate (...) the proposed mediation effects. Newcomers with high mastery orientations respond to high emotional exhaustion by harnessing more resources and identifying new work strategies, thereby engaging in less unethical conduct. Conversely, newcomers with high performance orientations give into emotional exhaustion and engage in unethical conduct as a way of outperforming others while conserving resources. We tested our theoretical model using a sample of peer coaches and newcomers from the Real Estate industry, using objective reporting of peer coaches’ and newcomers’ unethical conduct over a nine-month period. (shrink)

With the growth of online commerce, companies have created virtual communities where users can create posts and reply to posts about the company’s products. VCs can be represented as networks, with users as nodes and relationships between users as edges. Information propagates through edges. In VC studies, it is important to know how the number of topics concerning the product grows over time and what network features make a user more influential than others in the information-spreading process. The existing literature (...) has not provided a quantitative method with which to determine key points during the topic emergence process. Also, few researchers have considered the link between multilayer physical features and the nodes’ spreading influence. In this paper, we present two new ideas to enrich network theory as applied to VCs: a novel application of an adjusted coefficient of determination to topic growth and an adjustment to the Jaccard coefficient to measure the connection between two users. A two-layer network model was first used to study the spread of topics through a VC. A random forest method was then applied to rank various factors that might determine an individual user’s importance in topic spreading through a VC. Our research provides insightful ways for enterprises to mine information from VCs. (shrink)

This study examines how the reference-point effect and sunk-cost fallacy interact with stakeholder theory and influence how investors evaluate corporate social performance. We propose that ex-ante (pre-IPO) corporate social performance influences ex-post (post-IPO) perceived riskiness and that this relationship is U-shaped. We also evaluate how CEO duality and company age moderate this U-shaped relationship. Using young and newly public entrepreneurial firms in China, and focusing on stock returns in the secondary market, empirical results and robustness tests provide strong support for (...) our hypotheses. (shrink)

Considerable interest exists regarding the media’s influence on corporate reactions, but the link between media visibility and corporate philanthropic response is not clear. Natural disasters thus provide an environment that makes visible the general processes relevant to that link. Based on agenda-setting theory, stakeholder theory, and impression-management theory, we propose that corporations that are highly visible in the news media are more likely to engage in CPR and donate more money. We also propose that companies with reputations for irresponsibility or (...) vulnerability strengthen that tendency. Data from Chinese firms after the Wenchuan earthquake on May 12, 2008, and the corresponding empirical results support our hypotheses. This study also shows that CPR is an active conduit for deflecting undesired reputations. (shrink)

In “Deception and the Clinical Ethicist,” Meyers defends the argument that the clinical ethicist should sometimes be an active participant in the deception of patients and their families. Me...

The Chinese stock 300 index is widely accepted as an overall reflection of the general movements and trends of the Chinese A-share markets. Among the methodologies used in stock market research, the complex network as the extension of graph theory presents an edged tool for analyzing internal structure and dynamic involutions. So, the stock data of the CSI 300 were chosen and divided into two time series, prepared for analysis via network theory. After stationary test and coefficients calculated for daily (...) amplitudes of stock, two “year-round” complex networks were constructed, respectively. Furthermore, the network indexes, including out degree centrality, in degree centrality, and betweenness centrality, were analyzed by taking negative correlations among stocks into account. The first 20 stocks in the market networks, termed “major players,” “gatekeeper,” and “vulnerable players,” were explored. On this basis, temporal networks were constructed and the algorithm to test robustness was designed. In addition, quantitative indexes of robustness and evaluation standards of network robustness were introduced and the systematic risks of the stock market were analyzed. This paper enriches the theory on temporal network robustness and provides an effective tool to prevent systematic stock market risks. (shrink)

A tracking control algorithm of nonlinear multiple agents with undirected communication is studied for each multiagent system affected by external interference and input saturation. A control design scheme combining iterative learning and adaptive control is proposed to perform parameter adaptive time-varying adjustment and prove the effectiveness of the control protocol by designing Lyapunov functions. Simulation results show that the high-precision tracking control problem of the nonlinear multiagent system based on adaptive iterative learning control can be well realized even when the (...) input is saturated. Finally, the validity of the proposed algorithm is verified by numerical analysis. (shrink)

In the current performance evaluation works of commercial banks, most of the researches only focus on the relationship between a single characteristic and performance and lack a comprehensive analysis of characteristics. On the other hand, they mainly focus on causal inference and lack systematic quantitative conclusions from the perspective of prediction. This paper is the first to comprehensively investigate the predictability of multidimensional features on commercial bank performance using boosting regression tree. The dimensionality in the financial-related fields is relatively high. (...) There are not only observable price data, financial fundamentals data, etc., but also many unobservable undisclosed data and undisclosed events; more sources of income cannot be explained by existing models. Aiming at the characteristics of commercial bank data, this paper proposes an adaptively reduced step size gradient boosting regression tree algorithm for bank performance evaluation. In this method, a random subsample sampling is performed before training each regression tree. The adaptive reduction step size is used to replace the reduction step size setting of the original algorithm, which overcomes the shortcomings of low accuracy and poor generalization ability of the existing regression decision tree model. Compared to the BIRCH algorithm for classification of existing data, our proposed gradient boosting regression tree algorithm with adaptively reduced step size obtains better classification results. This paper empirically uses data from rural banks in 30 provinces in China to classify the different characteristics of rural banks’ performance in order to better evaluate their performance. (shrink)

The target article describes a Dutch case that happened in 2008, where Albert Heringa helped his 98-year-old mother, whose general practitioner rejected her request for an assisted d...

Although empirical evidence has shown that socially responsible human resource management practices positively influence employees’ outcomes, knowledge on the social impact of SRHRM practices on employee well-being has been limited. Drawing upon the social information processing theory and attribution theory, we investigate whether, how, and when SRHRM practices increase the well-being of employees. Using multiphase and multilevel data from 474 employees in 50 companies, we find that SRHRM practices positively predict employee well-being and that the relationship is mediated by employees’ (...) perspective-taking. Furthermore, substantive attributions strengthen the positive relationship between SRHRM practices and perspective-taking of employees, whereas symbolic attributions weaken this relationship. We also find that substantive attributions positively moderate the indirect effect of SRHRM practices on employee well-being through perspective-taking, whereas symbolic attributions negatively moderate this indirect effect. Our study contributes to the understanding of the complex effect that SRHRM has on employee well-being. (shrink)

This paper addresses the robust stabilization problem for a class of stochastic Markovian jump systems with distributed delays. The systems under consideration involve Brownian motion, Markov chains, distributed delays, and parameter uncertainties. By an appropriate Lyapunov–Krasovskii functional, the novel delay-dependent stabilization criterion for the stochastic Markovian jump systems is derived in terms of linear matrix inequalities. When given linear matrix inequalities are feasible, an explicit expression of the desired state feedback controller is given. The designed controller, based on the obtained (...) criterion, ensures asymptotically stable in the mean square sense of the resulting closed-loop system. The convenience of the design is greatly enhanced due to the existence of an adjustable parameter in the controller. Finally, a numerical example is exploited to demonstrate the effectiveness of the developed theory. (shrink)

Human motion gesture recognition is the most challenging research direction in the field of computer vision, and it is widely used in human-computer interaction, intelligent monitoring, virtual reality, human behaviour analysis, and other fields. This paper proposes a new type of deep convolutional generation confrontation network to recognize human motion pose. This method uses a deep convolutional stacked hourglass network to accurately extract the location of key joint points on the image. The generation and identification part of the network is (...) designed to encode the first hierarchy and the second hierarchy and show the spatial relationship of human body parts. The generator and the discriminator are designed as two parts in the network, and they are connected together in order to encode the possible relationship of appearance and, at the same time, the possibility of the existence of human body parts and the relationship between each part of the body and its parental part coding. In the image, the key nodes of the human body model and the general body posture can be identified more accurately. The method has been tested on different data sets. In most cases, the results obtained by the proposed method are better than those of other comparison methods. (shrink)

In the traditional case, the uncertainty of the ambient temperature measured by the experiential distributed sensor is considered. In this paper, a model based on the moving least square method in the fusion algorithm is proposed to study the optimal monitoring point of the sensor in the greenhouse and determine the most suitable installation position of the sensor in the greenhouse to improve the control effect of the temperature control device of the system. MATLAB simulation software is used to simulate (...) each working condition of the greenhouse. Temperature data measured at 15 locations in the greenhouse were used to evaluate all possible combinations of monitoring locations and to estimate the optimal location for indoor temperature sensors. Compared with the traditional method, the error is reduced to 0.373, and the data are more accurate. (shrink)

We design and implement an intelligent IoT-based motion monitoring system to realize the monitoring of three important parameters, namely, the type of movement, the number of movements, and the period of movement in physical activities, and optimize the system to support the simultaneous use by multiple users. Considering the motion monitoring scenario for smart fit, the framework of an IoT-based motion monitoring system is proposed. The framework contains components such as active acquisition nodes, wireless access points, data processing servers, and (...) terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. For active pattern recognition, two types of classification algorithms with different complexity are proposed based on Support Vector Machine and deep neural networks, respectively, to adapt to scenarios with different computational capabilities. For period calculation, a method based on over-zero detection and wavelet transform is proposed to count the number of actions and calculate the period of each action. In 100 times action cycle calculation experiments, the count statistic calculation method achieves 100% calculation accuracy and the active cycle calculation results are close to the real value, which proves the effectiveness of the cycle calculation method. The system provides a multiuser-oriented communication method and realizes accurate and reliable human movement monitoring, which has a wide application prospect in the fields of physical education and rehabilitation training. (shrink)

A political act is a typical self-serving behavior that works to promote or protect self-interest. However, limited research explores its relationship with daily downstream behavior. Based on the ego depletion theory, the present study attempts to clarify when and how daily political acts will be transformed into interpersonal deviance. We collected 760 cases nested in 152 full time workers in mainland China through the experience sampling method. Via a multilevel structural equation model and hierarchical linear model, we tested the mediated (...) moderation model. The results showed that political acts correlated with interpersonal deviance on a daily basis. Moral self-efficacy buffers the relationship between political acts and interpersonal deviance, whereas chronic job strain amplifies the relationship. Furthermore, moral self-efficacy can mediate the moderating role of chronic job strain. (shrink)

With the increasingly serious employment situation in China, the government and schools encourage college students to start businesses to alleviate employment pressure. College student's successful entrepreneurship depends on national preferential policies, social support, and, most importantly, their healthy and solid psychological quality and entrepreneurial psychological quality. The purpose is to understand the entrepreneurial psychology of college students and study the entrepreneurial psychological effect. Firstly, the four aspects of entrepreneurial psychology are summarized, including entrepreneurial awareness, entrepreneurial volition, entrepreneurial ability, and entrepreneurial (...) personality. Secondly, the research status of college students' entrepreneurial psychology is reviewed, and the existing problems are pointed out. Thirdly, the combined model of wavelet transform and Neural Network is proposed, and the feasibility of the proposed model is evaluated through the analysis of college students' entrepreneurial psychology. The wavelet NN is used in experimental design to predict college students' entrepreneurial psychology, and the predicted results are compared with the actual value. From the perspective of the prediction results of entrepreneurial psychology, the combination of wavelet algorithm and neural network is more accurate for entrepreneurial psychology prediction and evaluation results of law students. Overall, the difference between the predicted value and the actual value is within 0.3 points, which is relatively stable. According to the analysis of single-factor results, the scores of students of different majors in the four dimensions of entrepreneurial psychology are all higher than 3.5, but there is no significant difference among the four dimensions, indicating that the major has no significant impact on entrepreneurial psychology; law students with different educational backgrounds have significant differences in entrepreneurial psychology, among which students with a master's degree have the strongest entrepreneurial will, while doctoral students have the lowest entrepreneurial will; in terms of entrepreneurial psychological capital, men's self-efficacy is higher than women's, and the difference is significant. The difference between males and females in the scores of entrepreneurial psychological factors' four aspects is not very obvious. In terms of entrepreneurial psychological capital, males' self-efficacy is significantly higher than females'. Artificial Intelligence technology has great application prospects in the prediction and evaluation of college students' entrepreneurial psychology, and college students' entrepreneurial psychology is highly correlated with gender and education. (shrink)

The target article by Lynch et al. offers approaches for improving trial availability and Expanded Access for non-pandemic diseases based on the analysis of the COVID-19 experience in the US...

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative “shrinkage” or “small variance” priors while extending prior work on the general cross-lagged panel model. Using a panel dataset of national income and subjective well-being we describe three key benefits of these priors. First, they shrink parameter estimates toward zero or toward each (...) other for time-varying parameters, which lends additional support for an income → SWB effect that is not supported with maximum likelihood. This is useful because, second, these priors increase model parsimony and the stability of estimates and thus improve out-of-sample predictions and interpretability, which means estimated effect should also be more trustworthy than under ML. Third, these priors allow estimating otherwise under-identified models under ML, allowing higher-order lagged effects and time-varying parameters that are otherwise impossible to estimate using observed data alone. In conclusion we note some of the responsibilities that come with the use of priors which, departing from typical commentaries on their scientific applications, we describe as involving reflection on how best to apply modeling tools to address matters of worldly concern. (shrink)

Prior studies on stakeholders’ responses to firms with high prior corporate social responsibility engaging in corporate social irresponsibility show inconsistent results. To explore this inconsistency, we focus on the intentionality of CSIR and draw upon cognitive dissonance theory to examine how transgressional CSIR and accidental CSIR differently influence investors’ responses to firms with high prior CSR through both emotional and cognitive processes. An experimental study using a facial expression analysis technology— FaceReader 5.0 and a scenario experiment, reveal that high prior (...) CSR is a double-edged sword. Specifically, high prior CSR elicits an aggravating effect on investor responses in light of transgressional CSIR, but it has a buffering effect on investor responses in light of accidental CSIR. Moreover, we find that when prior CSR and CSIR are in the same domain, the aggravating effect of transgressional CSIR is strengthened, but the buffering effect of accidental CSIR is weakened. Our findings provide important theoretical and practical insights into the effect of prior CSR on investor responses in cases of different CSIR. (shrink)

Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus (...) line capacity scheduling algorithm, and display them in an intuitive way. The experimental results show that the algorithm model established in this paper can basically meet the data requirements of operation and management, and can provide decision support for customized bus line planning. (shrink)