This paper examines the influence of CEO career horizon problems on corporate social responsibility. We assume that as CEOs are getting older, they tend to disengage in CSR due to their shorter career horizons. We further argue that high levels of industry-level discretion and blockholder ownership amplify the negative effects of CEO age on CSR. Using a panel sample of US-based firms over 2004–2009, we do not find the main effect of CEO age on CSR, but find support for the (...) moderating effects, such that CEO age is negatively associated with CSR when there are high levels of ILD and blockholder ownership. Therefore, results suggest that CEO career horizon problems matter for CSR when CEOs have sufficient discretion over the firm’s strategic decisions and outside blockholders put more pressure on CEOs to engage in financial earning management. (shrink)

The modern doctor-patient relationship displays a patient-centred, mutual-participation characteristic rather than the former active-passive or guidance-cooperation models in terms of medical decision making. Respecting the wishes of patients, amounting to more than mere concern for their welfare, has become the feature central to certain modern bioethics theories. A group of ethical principles such as respect for autonomy, beneficence, non-maleficence, and justice has been proposed by bioethicists and widely adopted by many medical societies as an ethical guide to how doctors, in (...) their daily practice, should treat their patients. However, seeing patients as persons who are rational, self-conscious beings capable of valuing their own lives, and who are consequently entitled to the liberty and rights to choose for themselves, is in general the backbone of Western bioethical principles.Since Confucian philosophy has long been a representative of the East-Asia cultural tradition and Confucian bioethics has recently been developed as a theory of applied ethics, examining Confucius's idea of “persons” may shed some light on the current bioethical debates. Confucius's concept of persons, which is best interpreted via his theories of “chun-tze”, (the morally ideal person) encapsulating a two-dimensional approach, (the “autonomous person” and the “relational person”), provides a more comprehensive model regarding what a person is and how he/she should be treated. This two-dimensional approach sees a person not only as a rational, autonomous agent but also as a relational, altruistic identity whose self actualisation involves incessant participating in and promoting of the welfare of his fellow persons. Hence this may balance the current bioethical trend whereby “respect for autonomy” often triumphs. (shrink)

In this article, we examine the effect of corporate social responsibility (CSR) on firms' financial performance (CSR-effect). Two competing hypotheses, social impact hypothesis and shift of focus hypothesis, are proposed to investigate this issue, where the former suggests that CSR has a positive relation with performance and the latter are opposite. In order to ensure the CSR-effect is not contaminated by other faeton or samples are randomly drawn, we employ four matching methods, Nearest, Caliper, Mahala and Mahala Caliper to match (...) the samples of CSR (CSR-firms) and without CSR (NonCSR-firms) with similar characteristics. Although four methods yield slightly different results, firms engaging in CSR activities tend to obtain significantly higher values on pretax income to net sales and profit margin, and adopting CSR at the very least not deteriorate the performance of firms, making our con clusion favors the social impact hypothesis and against shift of focus hypothesis in Taiwan. Thus, ambition and conscience are not conflicting with each other. (shrink)

The paper explores the influence of greenwash on green trust and discusses the mediation roles of green consumer confusion and green perceived risk. The research object of this study focuses on Taiwanese consumers who have the purchase experience of information and electronics products in Taiwan. This research employs an empirical study by means of the structural equation modeling. The results show that greenwash is negatively related to green trust. Therefore, this study suggests that companies must reduce their greenwash behaviors to (...) enhance their consumers’ green trust. In addition, this study finds out that green consumer confusion and green perceived risk mediate the negative relationship between greenwash and green trust. The results also demonstrate that greenwash is positively associated with green consumer confusion and green perceived risk which would negatively affect green trust. It means that greenwash does not only negatively affect green trust directly but also negatively influence it via green consumer confusion and green perceived risk indirectly. Hence, if companies would like to reduce the negative relationship between greenwash and green trust, they need to decrease their consumers’ green consumer confusion and green perceived risk. (shrink)

Research from cognitive science and geoscience education has shown that sketching can improve spatial thinking skills and facilitate solving spatially complex problems. Yet sketching is rarely implemented in introductory geosciences courses, due to time needed to grade sketches and lack of materials that incorporate cognitive science research. Here, we report a design-centered, collaborative effort, between geoscientists, cognitive scientists, and artificial intelligence researchers, to characterize spatial learning challenges in geoscience and to design sketch activities that use a sketch-understanding program, CogSketch. We (...) developed 26 CogSketch worksheets that use cognitive science–based principles to scaffold problem solving of spatially complex geoscience problems and report observations of an implementation in an introductory geoscience course where students used CogSketch or human-graded paper worksheets. Overall, this research highlights the principles of interdisciplinary design between cognitive scientists, geoscientists, and AI researchers that can inform the collaborative design process for others aiming to develop effective educational materials. (shrink)

This study explores both the negotiating styles and moral reasoning processes of business people and governmental officials in Taiwan, so as to provide a footing for outsiders when negotiating with Taiwanese over environmental concerns. Findings imply that Taiwanese business people and governmental officials can and will reason both at the conventional level and at the postconventional level of moral judgment. But, results of this study also indicate that Taiwanese negotiating styles do not necessarily match their levels of moral reasoning. With (...) respect to pollution concerns, Taiwanese seem unwillingly to accept responsibility as autonomous individuals. Instead, responsibility is accepted when mandated by the law. (shrink)

In the ever-evolving landscape of Artificial Intelligence in Healthcare (AIH), understanding the entities and legal frameworks governing its research and development is crucial. This report delves into the intricacies of AIH in Malaysia, undertaking a comprehensive literature search on scientific databases, government portals, and news sources. Additionally, bibliometric analysis has been concurrently conducted to discern trends and developments in AIH over the years. Notably, the interest in AIH has seen a consistent rise since 2017, marked by a growing number of (...) use cases (25 reported here) developed by both local and foreign innovators and applicators. Despite this surge in research and adoption, Malaysia lacks direct legislation specifically addressing AIH technologies, leaving them subject to 11 existing laws. This lack of clear oversight is compounded by the insufficient expertise within local regulatory and ethical bodies to effectively assess AIH research and deployment. The resultant challenges include bureaucratic hurdles for AIH innovators and applicators, raising ethical concerns related to patient autonomy, privacy, data management, AI robustness, and liability. To address these issues, this paper recommends: (1) adopting international ethical guidelines for AIH, (2) enhancing public awareness and education on AI technologies, and (3) promoting AIH research through clinical or silent trials to improve oversight and foster innovation. (shrink)

Compared to our understanding of positive prediction error signals occurring due to unexpected reward outcomes, less is known about the neural circuitry in humans that drives negative prediction errors during omission of expected rewards. While classical learning theories such as Rescorla–Wagner or temporal difference learning suggest that both types of prediction errors result from a simple subtraction, there has been recent evidence suggesting that different brain regions provide input to dopamine neurons which contributes to specific components of this prediction error (...) computation. Here, we focus on the brain regions responding to negative prediction error signals, which has been well-established in animal studies to involve a distinct pathway through the lateral habenula. We examine the activity of this pathway in humans, using a conditioned inhibition paradigm with high-resolution functional MRI. First, participants learned to associate a sensory stimulus with reward delivery. Then, reward delivery was omitted whenever this stimulus was presented simultaneously with a different sensory stimulus, the conditioned inhibitor. Both reward presentation and the reward-predictive cue activated midbrain dopamine regions, insula and orbitofrontal cortex. While we found significant activity at an uncorrected threshold for the CI in the habenula, consistent with our predictions, it did not survive correction for multiple comparisons and awaits further replication. Additionally, the pallidum and putamen regions of the basal ganglia showed modulations of activity for the inhibitor that did not survive the corrected threshold. (shrink)

Using educational robots to integrate computational thinking with cross-disciplinary content has gone beyond Science, Technology, Engineering, and Mathematics, to include foreign-language learning and further cross-context target-language acquisition. Such integration must not solely emphasise CT problem-solving skills. Rather, it must provide students with interactive learning to support their target-language interaction while reducing potential TL anxiety. This study aimed to validate the effects of the proposed method of pair programming along with question-and-response interaction in a board-game activity on young learners’ CT skills (...) and TL learning across contexts. Two Grade 6 classes, one with 16 students who were studying Chinese as a Second Language and the other with 16 students who were studying English as a Foreign Language, participated in the activity. A series of instruments on achievement assessment, questionnaires on CT skills and TL anxiety, and sequential learning behaviour analysis were used to critically examine the results. The main conclusion is that the EFL group showed better social skills of cooperation on CT and lower TL learning anxiety, while the CSL group demonstrated better problem-solving skills in CT, but presented more behaviours of trial-and-error loops. Results not only contribute suggestions for cross-disciplinary learning but also provide support for cross-context instruction beyond educational coursework. (shrink)

This paper examines how industrial buyers’ attributions of their suppliers’ actions of corporate social responsibility are related to both the brand advocacy and brand equity. Using a sample of 173 questionnaires gathered in Taiwan, we find that CSR perceptions of industrial buyers are more strongly and positively related to brand advocacy and brand equity when industrial buyers interpret CSR activities of their suppliers as driven more by intrinsic motives and less by extrinsic motives. Furthermore, brand advocacy mediates the interactive effects (...) of CSR and CSR attribution on industrial brand equity. (shrink)

Learning general concepts in imperfect environments is difficult since training instances often include noisy data, inconclusive data, incomplete data, unknown attributes, unknown attribute values and other barriers to effective learning. It is well known that people can learn effectively in imperfect environments, and can manage to process very large amounts of data. Imitating human learning behavior therefore provides a useful model for machine learning in real-world applications. This paper proposes a new, more effective way to represent imperfect training instances and (...) rules, and based on the new representation, a Human-Like Learning (HULL) algorithm for incrementally learning concepts well in imperfect training environments. Several examples are given to make the algorithm clearer. Finally, experimental results are presented that show the proposed learning algorithm works well in imperfect learning environments. (shrink)

This study examines the effects of leader emotional intelligence, leadership styles, organizational commitment, and trust on job performance. A questionnaire was administered to the participants, who were real estate brokers in Kaohsiung City. Of the 980 questionnaires administered, 348 valid responses were received, indicating an effective response rate of 35.5%. Structural equation modeling was used for the analysis. The results show that leader emotional intelligence has a significant and positive effect on trust in supervisors, and transformational leadership and trust within (...) a team have significant and positive effects on job performance. In addition, organizational commitment has a significant and positive effect on job performance. Trust within a team mediates the significant and positive effect of leader emotional intelligence on job performance. Although transactional leadership has no direct, positive, and significant effects on employee job performance, trust in the workplace shaped by a leader’s leadership style will empower a team’s spirit and boost their morale, thereby indirectly affecting their job performance in a positive manner. (shrink)

During the 1920s, researchers from the American Museum of Natural History led by Roy Chapman Andrews exported a large collection of valuable fossils from the Gobi Desert. While their expedition was celebrated across Europe and the United States, it aroused enormous controversy in China and Mongolia, especially after a new Nationalist government was formed in Nanjing during the late 1920s. Whereas Chinese scholars accused American scientists of plundering their natural heritage, Andrews argued that because dinosaurs went extinct long before the (...) creation of China, prehistoric fossils belonged equally to all mankind. This essay locates the Central Asiatic Expedition within a broader history of epistemic imperialism to explore what the controversy that it engendered reveals about the production, circulation, and accumulation of knowledge in a global context. (shrink)

In the target article, Schilbach et al. defend a perspective that focuses on the neural basis of social cognition during live, ongoing interactions between individuals. We argue that a second-person neuroscience would benefit from formal approaches borrowed from economics and behavioral ecology and that it should be extended to social interactions in nonhuman animals.

Racially disparate policing, prosecution, and punishment harm individuals, families, and communities. These practices must be understood within the context of the development of the criminal legal system as a means of racialized social control. This context permits a critical examination of the way criminalization has been and is still deployed to subject poor and racialized communities to systemic injustices. This commentary frames a call for interventions to integrate a health justice approach to ensure that they advance racial and health equity (...) to promote the well-being of individuals, families, and communities. (shrink)

Facing an increasingly competitive market, enterprises need correct decisions to solve operational problems in a timely manner to maintain their competitive advantages. In this context, insufficient information may lead to an overfitting phenomenon in general mathematical modeling methods, making it difficult to ensure good analytical performance. Therefore, it is important for enterprises to be able to effectively analyze and make predictions using small data sets. Although various approaches have been developed to solve the problem of prediction, their application is often (...) limited by insufficient observations. To further enforce the effectiveness of data uncertainty processing, this study proposed an aggregating prediction model for management decision analysis using small data sets. Compared with six popular approaches, the results from the experiments show that the proposed method can effectively deal with the small data set prediction problem and is thus an appropriate decision analysis tool for managers. (shrink)