The main purpose of this study is to explore and map the intellectual structure of business ethics studies during 1997–2006 by analyzing 85,000 cited references of 3,059 articles from three business ethics related journals in SSCI and SCI databases. In this article, co-citation analysis and social network analysis techniques are used to research intellectual structure of the business ethics literature. We are able to identify the important publications and the influential scholars as well as the correlations among these publications by (...) analyzing citation and co-citation. Three factors emerged in this study are: (1) ethical/unethical decision making, (2) corporate governance and firm performance, and (3) ethical principles and code of conduct. (shrink)

Together, China and India account for almost two fifths of mankind. In purchase power parity terms the Chinese economy is the second largest in the world ahead of Japan, and the Indian economy is the fourth largest ahead of Germany. In less than two decades these two big Asian economies together might account for a quarter of the global product. Currently, however, both countries are still poor.Both countries might outgrow poverty, because potential advantages of backwardness as well as fairly strong (...) domestic investment favor growth. Concerning human capital formation China and India differ. China is much better than India in primary school education. Eradication of analphabetism is in sight in China, but far in the future in India. India, however, is much stronger in tertiary education than China. Another major difference between China and India is their degree of integration in the global economy. China benefits much more from the global division of labor than India does. China attracts much more foreign direct investment, too.In the past fifty years, Chinese economic performance was superior to the Indian performance. Nevertheless I reject the interpretation that either China’s autocracy or China’s communist ideology is responsible for China’s better performance. China started to grow faster than the global economy only after Deng Xiaoping liberalized and opened up the economy. Under Mao Zedong and during the great leap forward more than 30 million Chinese starved to death. Similar disasters did not happen in poorer India. If China and India teach a lesson about the impact of regime characteristics on growth, it is the following: Democracy promotes performance quite similar to the global average, autocracy as a constitution of arbitrariness permits much better performance or much worse performance.In the long run, the growth prospects of both China and India depend not only on their own economic policies, but also on Western readiness to take their exports. Open Western markets together with sensible policies in China and India may promote global prosperity and peace.A eux deux, la Chine et l’Inde représentent deux cinquièmes de l’humanité. En termes de capacité de pouvoir d’achat comparé, l’économie chinoise est la deuxième plus grande au monde, devant le Japon, et l’économie indienne est la quatrième plus grande, devançant l’Allemagne. Dans moins de deux décennies, ces deux gigantesques économies asiatiques pourraient représenter conjointement un quart du produit global. Aujourd’hui cependant, ces deux pays sont toujours pauvres.Les deux pays pourraient surmonter la pauvreté car les potentialités que recèle un retard économiq- ue ajoutées à un investissement intérieur relativement soutenu favorisent la croissance. En ce qui concerne la formation du capital humain, des différences existent entre la Chine et l’Inde. La Chine est meilleure que l’Inde dans le domaine de l’éducation primaire. L’éradication de l’analphabétisme semble être en vue en Chine mais est loin d’être une partie gagnée en Inde. A l’inverse, l’Inde devance la Chine dans le domaine de l’éducation tertiaire. Une autre différence majeure entre la Chine et l’Inde concerne leur degré d’intégration dans l’économie globale. La Chine bénéficie davantage de la division globale du travail que l’Inde. De plus, la Chine attire plus d’investissements directs de l’étranger. Durant les cinquante dernières années, la performance de l’économie chinoise a été supérieure à celle de l’Inde. Néanmoins, l’auteur rejette l’interprétation suivant laquelle ce serait ou l’autocratie chinoise ou l’idéologie communiste qui serait à l’origine de cette supériorité. La Chine commença à croître plus rapidement que l’économie globale seulement après que Deng Xiao Ping a libéralisé l’économie chinoise et ouvert ses frontières. Sous le règne de Mao Tsé Tung, et durant le “grand bond en avant”, plus de 30 millions de chinois sont morts de famine. De tels désastres n’ont pas été observés en Inde qui est relativement plus pauvre. Si une leçon peut être tirée des expériences chinoise et indienne à propos de l’impact des caractéristiques des régimes sur la croissance économique, c’est la suivante : la démocratie promeut des performances assez identiques à la moyenne globale, et l’autocratie en tant que constitution de l’arbitraire donne lieu à des performances bien meilleures ou bien pires. A long terme, les perspectives de croissance de la Chine et de l’Inde dépendent non seulement de leurs propres politiques, mais aussi de la volonté des pays occidentaux de digérer leurs exportations. Des marchés occidentaux ouverts et des politiques intelligentes en Chine et en Inde peuvent promouvoir la prospérité et la paix au niveau global. (shrink)

Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker. More popularly known by its commercial moniker, Emotional AI, the technology stems (...) from advancements in affective computing. But whereas previous generations of biometric monitoring targeted the exterior physical body of the worker, concurrent with the writings of Foucault and Hardt, we argue that emotion-recognition tools signal a far more invasive disciplinary gaze that exposes and makes vulnerable the inner regions of the worker-self. Our paper explores attitudes towards empathic surveillance by analyzing a survey of 1015 responses of future job-seekers from 48 countries with Bayesian statistics. Our findings reveal affect tools, left unregulated in the workplace, may lead to heightened stress and anxiety among disadvantaged ethnicities, gender and income class. We also discuss a stark cross-cultural discrepancy whereby East Asians, compared to Western subjects, are more likely to profess a trusting attitude toward EAI-enabled automated management. While this emerging technology is driven by neoliberal incentives to optimize the worksite and increase productivity, ultimately, empathic surveillance may create more problems in terms of algorithmic bias, opaque decisionism, and the erosion of employment relations. Thus, this paper nuances and extends emerging literature on emotion-sensing technologies in the workplace, particularly through its highly original cross-cultural study. (shrink)

The interventionist theory of causation has been advertised as an empirically informed and more nuanced approach to causality than the competing theories. However, previous literature has not yet analyzed the regression discontinuity (hereafter, RD) and the difference-in-differences (hereafter, DD) within an interventionist framework. In this paper, I point out several drawbacks of using the interventionist methodology for justifying the DD and RD designs. However, I argue that the first step towards enhancing our understanding of the DD and RD designs from (...) an interventionist perspective is to take advantage of the assumptions of common trend and continuity. (shrink)

Judging an act’s causal efficacy plays a crucial role in causal decision theory. A recent development appeals to the causal modeling framework with an emphasis on the analysis of intervention based on the causal Bayes net for clarifying what causally depends on our acts. However, few writers have focused on exploring the usefulness of extending structural causal models to decision problems that are not ideal for intervention analysis. The thesis concludes that structural models provide a more general framework for rational (...) decision makers. (shrink)

For much of the twentieth century, the discipline of literary studies has grappled with the question of how its generally sotto voce activity responds to a history that calls loudly for action. This essay treats the question of literature's quietism in relation to the problem of literature's modernity and temporality. The turn away from the noise of the world at the beginning of the century has been criticized as the motivation for and the effect of modernism's obsession with time. But (...) the modernist “time cult” did not simply withdraw into the space of the internal and eternal. By examining T. S. Eliot's complaint against time in “The Love Song of J. Alfred Prufrock” and engaging theoretical critiques of the desire to be modern, this essay argues that modernism explored alternatives to the static, quieted present, and that contemporary American time-travel narratives continue this exploration. Rather than see postmodernism as the inheritor of modernism's silent and disengaged moments, the essay concludes that both seek to examine the disquieting multiplicity of times and the denser, more complicated versions of the present that they engender. (shrink)

Modelling data in applied areas particularly in reliability engineering is a prominent research topic. Statistical models play a vital role in modelling reliability data and are useful for further decision-making policies. In this paper, we study a new class of distributions with one additional shape parameter, called a new generalized exponential-X family. Some of its properties are taken into account. The maximum likelihood approach is adopted to obtain the estimates of the model parameters. For assessing the performance of these estimators, (...) a comprehensive Monte Carlo simulation study is carried out. The usefulness of the proposed family is demonstrated by means of a real-life application representing the failure times of electronic components. The fitted results show that the new generalized exponential-X family provides a close fit to data. Finally, considering the failure times data, the Bayesian analysis and performance of Gibbs sampling are discussed. The diagnostics measures such as the Raftery–Lewis, Geweke, and Gelman–Rubin are applied to check the convergence of the algorithm. (shrink)

Jun Otsuka, in his recent work Thinking About Statistics (2023), undertakes a philosophical investigation of fundamental statistical methodologies, with a particular emphasis on causal inference. In his ontological analysis of causal inference, Otsuka posits that causal analysis, within a given causal model, requires the modification of the underlying probabilistic distribution. This modification, he argues, effectively constitutes a transition between possible worlds. Consequently, Otsuka identifies the objective of causal inference as the discovery of inter-world laws that govern the relationships between these (...) distinct probabilistic models (Otsuka 2023, p.168). Granting Otsuka’s ontological commitments regarding causal and probabilistic models, his interpretation of certain causal analyses as inherently inter-worldly is indeed compelling. This perspective merits particular attention given the prevailing tendency to view such analyses to mere rules for estimating causal effects. While this review does not directly challenge Otsuka’s position, it aims to further explore and contribute to this stimulating concept. (shrink)

Numerous papers have investigated the transitivity principle of ‘better-than.’ A recent argument appeals to the principle of mereological dominance for transitivity. However, writers have not treated mereological dominance in much detail. This paper sets out to evaluate the generality of mereological dominance and its effectiveness in supporting the transitivity principle. I found that the mereological dominance principle is vulnerable to a counterexample based on Simpson’s Paradox. The thesis concludes that the mereological dominance principle should be revised in certain ways.

Background:When the contagious COVID-19 spread worldwide, the frontline staff faced unprecedented excessive work pressure and expectations of all of the society.Objective:The aim was to explore healthcare workers’ stress and influencing factors when caring for COVID-19 patients from an altruistic perspective.Methods:A cross-sectional, descriptive study was conducted in a tertiary hospital during the outbreak of COVID-19 between February and March 2020 in Wuhan, the capital city of Hubei province in China. Data were collected from 1208 healthcare workers. Descriptive statistics and multiple linear (...) regression were used to analyze the data.Ethical considerations:Research ethics approval (with the code of TJ-IRB20200379) was obtained from Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was also received from participants.Results:Less than 60% of participants chose moderate or severe stress on all stressors, indicating a low stress level among healthcare workers. The main source of stress among frontline healthcare workers caring for COVID-19 patients came from the fear of being infected, the fear of family members being infected, and the discomfort caused by protective equipment. Frontline staff who were nurses, were married, and had worked more than 20 days suffered higher stress, whereas rescue staff showed lower stress.Conclusion:The healthcare workers caring for patients with COVID-19 had low stress level, although they still had the fear of being infected or uncomfortable feeling caused by personal protective equipment. A low stress level among healthcare workers indicated their professional devotion and altruism during COVID-19 epidemic. Medical institutions and the government should continue to strengthen infection prevention measures and provide more comprehensive care involving families of frontline healthcare workers, especially nurses and married staff. It will be a lesson to other countries that awaking healthcare workers’ inside motivation and providing necessary support from government and society were significant. (shrink)

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, (...) and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability. (shrink)

Collaborative filtering technology is currently the most successful and widely used technology in the recommendation system. It has achieved rapid development in theoretical research and practice. It selects information and similarity relationships based on the user’s history and collects others that are the same as the user’s hobbies. User’s evaluation information is to generate recommendations. The main research is the inadequate combination of context information and the mining of new points of interest in the context-aware recommendation process. On the basis (...) of traditional recommendation technology, in view of the characteristics of the context information in music recommendation, a personalized and personalized music based on popularity prediction is proposed. Recommended algorithm is MRAPP. The algorithm first analyzes the user’s contextual information under music recommendation and classifies and models the contextual information. The traditional content-based recommendation technology CB calculates the recommendation results and then, for the problem that content-based recommendation technology cannot recommend new points of interest for users, introduces the concept of popularity. First, we use the memory and forget function to reduce the score and then consider user attributes and product attributes to calculate similarity; secondly, we use logistic regression to train feature weights; finally, appropriate weights are used to combine user-based and item-based collaborative filtering recommendation results. Based on the above improvements, the improved collaborative filtering recommendation algorithm in this paper has greatly improved the prediction accuracy. Through theoretical proof and simulation experiments, the effectiveness of the MRAPP algorithm is demonstrated. (shrink)

Despite numerous published writings on China's regional role, the world still knows very little about Beijing's perception and strategy. This article seeks to make an intellectual contribution in understanding China's foreign policy and its efforts to participate in East Asian integration. This article argues that under the rhetoric of peaceful development and community building, China's foreign policy is pragmatic and changes with the tide of events in international relations. China's participation in regional integration serves as a good case for examining (...) changes in Beijing's strategy. In the past two decades, China has moved from a reluctant participant of regional affairs to an active participant and potential future leader. China's adjusting role is a consequence of Beijing's pragmatism in policy and its growing economic confidence. Pragmatism has led China to and wait for the proper timing to step onto the world stage. (shrink)

This book is an investigation of algorithmic contingency and an elucidation of the contemporary situation that we are living in: the regular arrival of algorithmic catastrophes on a global scale. Through a historical analysis of philosophy, computation and media, this book proposes a renewed relation between nature and technics.

This paper interrogates the growing pervasiveness of affect recognition tools as an emerging layer human-centric automated management in the global workplace. While vendors tout the neoliberal incentives of emotion-recognition technology as a pre-eminent tool of workplace wellness, we argue that emotional AI recalibrates the horizons of capital not by expanding outward into the consumer realm (like surveillance capitalism). Rather, as a new genus of digital Taylorism, it turns inward, passing through the corporeal exterior to extract greater surplus value and managerial (...) control from the affective states of workers. Thus, empathic surveillance signals a profound shift in the ontology of human labor relations. In the emotionally quantified workplace, employees are no longer simply seen as physical capital, but conduits of actuarial and statistical intelligence gleaned from their most intimate subjective states. As a result, affect-driven automated management means that priority is often given to actuarial rather than human-centered managerial decisions. (shrink)

Scientific models are used to predict and understand the target phenomena in the reality. The kind of epistemic relationship between the model and the reality is always regarded by most of the philosophers as a representational one. I argue that, complementary to this representational role, some of the scientific models have a constructive role to play in altering and reconstructing the reality in a physical way. I hold that the idealized model assumptions and elements bestow the constructive force of a (...) model on the reality. By recognizing the physical constructive force of some scientific models, the merit of these models could be judged by how successful they are in the reality construction, rather than by the traditional criterion of model-world representation. (shrink)

This research employs the Bayesian network modeling approach, and the Markov chain Monte Carlo technique, to learn about the role of lies and violence in teachings of major religions, using a unique dataset extracted from long-standing Vietnamese folktales. The results indicate that, although lying and violent acts augur negative consequences for those who commit them, their associations with core religious values diverge in the final outcome for the folktale characters. Lying that serves a religious mission of either Confucianism or Taoism (...) (but not Buddhism) brings a positive outcome to a character (βT_and_Lie_O= 2.23; βC_and_Lie_O= 1.47; βT_and_Lie_O= 2.23). A violent act committed to serving Buddhist missions results in a happy ending for the committer (βB_and_Viol_O= 2.55). What is highlighted here is a glaring double standard in the interpretation and practice of the three teachings: the very virtuous outcomes being preached, whether that be compassion and meditation in Buddhism, societal order in Confucianism, or natural harmony in Taoism, appear to accommodate two universal vices—violence in Buddhism and lying in the latter two. These findings contribute to a host of studies aimed at making sense of contradictory human behaviors, adding the role of religious teachings in addition to cognition in belief maintenance and motivated reasoning in discounting counterargument. (shrink)