Search Results (298)

According to the dual-process model of moral cognition, individuals tend to refuse the proposal of killing some to save more innocents under stressful conditions compared to non-stressful states, which has been demonstrated in previous studies. However, this effect might be unreliable according to the General Adaptation Syndrome theory and the Stress Process Model. To test this speculation, we reanalyzed the raw data on the effect of chronic stress on moral choice from a previous study (Study 1) and conducted a pre-registered replication and extension study (Study 2). Both results demonstrated no detectable effect of chronic stress on moral decisions, which is inconsistent with the original results. This study calls for caution regarding this effect and has important theoretical and practical implications. Full article

This study examines the moral agency of French secondary school headteachers through the lens of the theory of conventions. Using qualitative data from interviews with fifteen headteachers involved in professional development, this study explores how these leaders justify their practices within a centralized, bureaucratic, and hierarchical education system. It identifies a variety of conventions—civic, domestic, industrial, project, market, inspired, and fame—that headteachers draw on to navigate institutional constraints, manage professional relationships, and foster pedagogical and organizational change. Particular attention is given to how civic and domestic conventions shape leadership discourse and practices, especially regarding trust building, decision making, and reform implementation. We also compare the French context with international examples from the International Successful School Principalship Project (ISSPP), focusing on Nordic countries, where leadership emphasizes democratic participation, professional trust, and shared responsibility. This study underscores the uniqueness of the French leadership model, which resists managerial and market logics while remaining rooted in republican and egalitarian ideals. It concludes by advocating for a more context-aware, ethically grounded, and dialogical approach to school leadership. Full article

Artificial intelligence has taken a seat at the executive table and is threatening the fact that human beings are the only ones who should be in a position of power. This article gives conjectures on the future of leadership in which managers will collaborate with learning algorithms in the Neural Adaptive Artificial Intelligence Leadership Model, which is informed by the transformational literature on leadership and socio-technical systems, as well as the literature on algorithmic governance. We assessed the model with thirty in-depth interviews, system-level traces of behavior, and a verified survey, and we explored six hypotheses that relate to algorithmic delegation and ethical oversight, as well as human judgment versus machine insight in terms of agility and performance. We discovered that decisions are made quicker, change is more effective, and interaction is more vivid where agile practices and good digital understanding exist, and statistical tests propose that human flexibility and definite governance augment those benefits as well. It is single-industry research that contains self-reported measures, which causes research to be limited to other industries that contain more objective measures. Practitioners are provided with a practical playbook on how to make algorithmic jobs meaningful, introduce moral fail-safes, and build learning feedback to ensure people and machines are kept in line. Socially, the practice is capable of minimizing bias and establishing inclusion by visualizing accountability in the code and practice. Filling the gap between the theory of leadership and the reality of algorithms, the study provides a model of intelligent systems leading in organizations that can be reproduced. Full article

Automated vehicles controlled by artificial intelligence are becoming capable of making moral decisions independently. This study investigates the differences in participants’ perceptions of the moral decision-maker’s permissibility when viewing scenarios (pre-test) and after witnessing the outcomes of moral decisions (post-test). It also investigates how permissibility, ten typical moral emotions, and perceived moral agency fluctuate when AI and the human driver make deontological or utilitarian decisions in a pedestrian-sacrificing dilemma (Experiment 1, N = 254) and a driver-sacrificing dilemma (Experiment 2, N = 269) from a third-person perspective. Moreover, by conducting binary logistic regression, this study examined whether these factors could predict the non-decrease in permissibility ratings. In both experiments, participants preferred to delegate decisions to human drivers rather than to AI, and they generally preferred utilitarianism over deontology. The results of perceived moral emotions and moral agency provide evidence. Moreover, Experiment 2 elicited greater variations in permissibility, moral emotions, and perceived moral agency compared to Experiment 1. Moreover, deontology and gratitude could positively predict the non-decrease in permissibility ratings in Experiment 1, while contempt had a negative influence. In Experiment 2, the human driver and disgust were significant negative predictor factors, while perceived moral agency had a positive influence. These findings deepen the comprehension of the dynamic processes of autonomous driving’s moral decision-making and facilitate understanding of people’s attitudes toward moral machines and their underlying reasons, providing a reference for developing more sophisticated moral machines. Full article

The rapid proliferation of electronic waste, driven by the short lifecycle of smartphones and planned obsolescence strategies, presents escalating global environmental challenges. To address these issues from a systems perspective, this study develops an agent-based modeling (ABM) framework that simulates consumer decisions and stakeholder interactions within the smartphone reuse and recycling ecosystem. The model incorporates key behavioral drivers—privacy concerns, moral norms, and financial incentives—to examine how social and economic factors shape consumer behavior. Four primary agent types—consumers, manufacturers, recyclers, and second-hand retailers—are modeled to capture complex feedback and market dynamics. Calibrated using empirical data from Jiangsu Province, China, the simulation reveals a dominant consumer tendency to store obsolete smartphones rather than engage in reuse or formal recycling. However, the introduction of government subsidies significantly shifts behavior, doubling participation in second-hand markets and markedly improving recycling rates. These results highlight the value of integrating behavioral insights into environmental modeling to inform circular economy strategies. By offering a flexible and behaviorally grounded simulation tool, this study supports the design of more effective policies for promoting responsible smartphone disposal and lifecycle extension. Full article

The Confucian hermeneutic approach to the Yijing 易經 (or Book of Changes) delineates a transition from the pursuit of divinatory meaning to the cultivation of virtue and action. As an integral part of the Yijing’s semantic framework, decisive phrases (Duanci 斷辭)—such as those denoting auspiciousness or ominousness—not only reflect historical efforts to ascertain the significance of divinatory cases, but also embody a distinct normative orientation inherent in the text’s teachings. This orientation not only guides human action but also shapes moral character, which in turn provides the foundation for virtuous and effective action. The interpretive paradigm initiated by Confucian exegetes thus offers valuable insights for contemporary theories of ethics and practical philosophy. Full article

Legal actors often discuss emotion-based decisions and reasoned evaluation of the facts as distinct and opposite methods through which jurors can reach conclusions. However, research suggests that emotion can have an indirect effect on juror decisions by changing the way that jurors evaluate the facts of the case. In three studies (N = 713, N = 677, N = 651), we tested whether mock jurors’ negative moral emotions towards the defendant predicted their evaluations of unrelated case evidence and in turn their case judgments and whether judicial rehabilitation could reduce this effect. Participants read a civil case and were randomly assigned to either receive judicial rehabilitation or not. Then, they completed measures relating to their negative moral emotions towards the defendant, their agreement with plaintiff and defense evidence, and case judgments. When participants reported increased negative emotions towards the defendant, they agreed more with unrelated plaintiff evidence and less with unrelated defense evidence. In turn, they voted liable more often and awarded more in damages. Judicial rehabilitation did not reduce this effect. This research provides support for the idea that there is a more complicated relationship between emotion and decisions than legal actors suggest. Specifically, negative emotions towards the defendant are associated with a pro-plaintiff evaluation of evidence and pro-plaintiff judgments. Full article

Background: Employee turnover poses a multi-faceted challenge to organizations by undermining productivity, morale, and financial stability while rendering recruitment, onboarding, and training investments wasteful. Traditional machine learning approaches often struggle with class imbalance and lack transparency, limiting actionable insights. This study introduces an Explainable AI (XAI) framework to achieve both high predictive accuracy and interpretability in turnover forecasting. Methods: Two publicly available HR datasets (IBM HR Analytics, Kaggle HR Analytics) were preprocessed with label encoding and MinMax scaling. Class imbalance was addressed via GAN-based synthetic data generation. A three-layer Transformer encoder performed binary classification, and SHapley Additive exPlanations (SHAP) analysis provided both global and local feature attributions. Model performance was evaluated using accuracy, precision, recall, F1 score, and ROC AUC metrics. Results: On the IBM dataset, the Generative Adversarial Network (GAN) Transformer model achieved 92.00% accuracy, 96.67% precision, 87.00% recall, 91.58% F1, and 96.32% ROC AUC. On the Kaggle dataset, it reached 96.95% accuracy, 97.28% precision, 96.60% recall, 96.94% F1, and 99.15% ROC AUC, substantially outperforming classical resampling methods (ROS, SMOTE, ADASYN) and recent literature benchmarks. SHAP explanations highlighted JobSatisfaction, Age, and YearsWithCurrManager as top predictors in IBM and number project, satisfaction level, and time spend company in Kaggle. Conclusion: The proposed GAN Transformer SHAP pipeline delivers state-of-the-art turnover prediction while furnishing transparent, actionable insights for HR decision-makers. Future work should validate generalizability across diverse industries and develop lightweight, real-time implementations. Full article

Communication about moral decision-making involves complex emotional and cognitive processes, especially in critical situations. This study adopted a hyperscanning paradigm to explore neural convergence during moral negotiation. Twenty-six healthy young adults (mean age = 23.59 years; 16 women, 10 men), with no neurological or psychiatric conditions, were paired into 13 same-gender dyads at the Università Cattolica del Sacro Cuore. Each dyad discussed a medical moral dilemma while their electrophysiological (EEG) activity was simultaneously recorded. Participants were first categorized according to their Dominant Reasoning Profile (DRP) (cognitive or affective), and subsequently convergence in DRP within the dyads was established. EEG band dissimilarities within each dyad were analyzed across frontal, temporo-central, and parieto-occipital regions. The results revealed significantly greater dissimilarity in frontal delta-band activity compared to parieto-occipital areas, regardless of the dyad’s DRP. Such results might suggest different emotional and motivational reactions between the two individuals, reflecting a broader gap in how the moral decision-making process was interpreted and internalized by each member, despite their DRP. The EEG hyperscanning paradigm proves useful in the study and understanding of the neural mechanisms involved in social interaction about morally sensitive decisions and provides novel insights into dyadic brain dynamics. Full article

As Artificial Intelligence systems increasingly surpass or replace traditional human roles, institutions founded on beliefs in human cognitive superiority, moral authority, and procedural oversight encounter a more profound challenge than mere disruption: expiration. This paper posits that, instead of being outperformed, many legacy institutions are becoming epistemically misaligned with the realities of AI-driven environments. To clarify this change, the paper presents the Expiration Theory. This conceptual model interprets institutional collapse not as a market failure but as the erosion of fundamental assumptions amid technological shifts. In addition, the paper introduces the AI Pressure Clock, a diagnostic tool that categorizes institutions based on their vulnerability to AI disruption and their capacity to adapt to it. Through an analysis across various sectors, including law, healthcare, education, finance, and the creative industries, the paper illustrates how specific systems are nearing functional obsolescence while others are actively restructuring their foundational norms. As a conceptual study, the paper concludes by highlighting the theoretical, policy, and leadership ramifications, asserting that institutional survival in the age of AI relies not solely on digital capabilities but also on the capacity to redefine the core principles of legitimacy, authority, and decision-making. Full article

Background/Objectives: To avoid becoming mired in prolonged deep dementia, some people seek to hasten death by advance instructions rejecting life-sustaining medical intervention (LSMI) at a point of cognitive decline they define in advance as unacceptable. When the time comes to implement such advance instructions and to allow the person in advanced dementia to die, many clinicians experience moral and ethical qualms. The decision makers face a clash between people’s legally recognized self-determination prerogative to control their post-competence medical fate and the decision makers’ conviction that humane treatment dictates sustaining the well-being, i.e., the physical “best interests,” of the patient who no longer recalls prior instructions grounded in concerns about personal dignity. The authors’ objective here is to provide guidance in resolving this anguishing dilemma confronting medical decision makers. Methods: The authors construct and analyze a case scenario involving a patient in a state of advanced dementia with a clear advance instruction rejecting LSMI at the current point of debilitation, but who is not ostensibly suffering, is experiencing a modicum of life satisfaction, and is making life-affirming utterances. The two lead authors present contrasting views on whether legal and moral factors impel the implementation of the advance directive rejecting treatment or rather dictate life-sustaining medical intervention. Results: At this early stage of jurisprudence involving persons in advanced dementia, there can be no definitive resolution of the difficult legal/moral clash confronting decision makers. Some sources would conclude that persons are legally entitled to define precipitous mental decline and complete dependence on others as intolerably undignified and inconsistent with their self-defined life narrative. Other sources would be guided by humane respect for the contemporary well-being of a non-suffering patient, especially one making life-affirming utterances. Conclusion: Through the lens of this illuminating case and contrasting analyses, readers should better understand how clinicians should weigh advance directives against shifting care preferences subsequently articulated by persons with advanced dementia. Full article

Introduction: The health emergency caused by the pandemic led to severe health issues in populations across many countries worldwide, including widespread morbidity and significant mortality. Nevertheless, several countries succeeded in keeping infection rates remarkably low before the approval of vaccines and the initiation of vaccinations in early 2021. We aim to identify the success factors of health policies in managing the impact of the health emergency across a selection of countries, focusing on how they protected their populations. Our study presents outcomes of sustainable health policy measures, along with health and social system challenges, and economic responses during the global health emergency. We sometimes found it difficult to define what counted as a success factor in some countries. Method: Our study draws upon a selection of reports and documents published by various ministries and economic, social, and health authorities, which we collected online. We structured our study into three phases to frame and contextualize the impact of health policy measures and countermeasures as follows: (i) observations and content analysis; (ii) empirical support through illustrative examples; and (iii) development of a health emergency toolkit of assessment. The documents were not always easy to compare because they differed in format and detail. Results: Our study outlines ten success factors for sustainable health policy measures and countermeasures: (i) preparedness; (ii) control; (iii) precaution; (iv) proactive decision-making; (v) synchronization; (vi) adequate legislation; (vii) goal fulfillment; (viii) digital health technology; (ix) empirical evidence; (x) ethical and moral virtues. Sometimes we struggled to separate what was ethical guidance from what was simply practical advice. Conclusion: We argue that the relevance of the health emergency toolkit of assessment outlined in our study demonstrates clearly that the success factors related to sustainable health policy measures and countermeasures can be applied and adapted to the societal conditions of individual countries. These factors may form a foundation for the development of a health emergency toolkit of assessment for future health emergencies. We also maintain that these factors may serve as a platform for establishing sustainable plans across health, social, and economic domains, with clear guidelines for implementation, management, and control. It is our hope that future health systems will make use of these findings before the next crisis emerges. Full article

Background: Due to their participation in patient care, pharmacists frequently face various ethical decisions that must be made. Every day, pharmacists encounter ethical challenges in any pharmaceutical workplace. This study aims to assess the attitude and awareness among pharmacy students and pharmacists regarding general and professional ethics. Methods: This study was cross-sectional, using an interview-based questionnaire. Pharmacy students from Yarmouk University volunteered to approach other pharmacy students and pharmacists to complete the questionnaire using a convenient sampling method. Results: A total of 1737 pharmacy students and pharmacists participated in this study. Among the 691 participants who are currently practicing pharmacists, 549 (79.4%) reported working in a community pharmacy. About half of the pharmacy students (53.6%) had studied a course in ethics, while 110 (15.9%) of the pharmacists had not. While students and pharmacists have shown significantly different attitudes, less than 20% of the participants demonstrated a high level of awareness regarding the pharmacy code of ethics. On the other hand, more than 60% of pharmacy students and practicing pharmacists concurred that they might permit others to carry out the duties of a pharmacist. Surprisingly, the data revealed that student pharmacists performed better than practicing pharmacists, highlighting that students appreciate the principles of professionalism and that exposure to a work environment can help modulate negative behavior and beliefs. Conclusions: These findings underscore the need for ongoing ethical education and training for both pharmacy students and practicing pharmacists to ensure that everyone in the field upholds a high standard of moral behavior in patient care. Full article

As climate change continues to endanger a sustainable global condition, a growing literature investigates how to pursue green practices to fight its effects. Individuals are the essential starting point for such bottom-up attempts, with their attitudes towards sustainability driving pro-environmental behaviors (PEBs). Objectives: Based on the available relevant literature, this scoping review aims to delve into the processes underlying people’s sustainable decision-making (SDM) associated with PEBs. Methods: A scientific literature search was performed through (a) an active database search and (b) the identification of studies via reference and citation tracking. Results were screened and selected in Rayyan. Results: Included articles (n = 30) heterogeneously reported cognitive and neural aspects of SDM shaping PEBs. These proved to (a) recruit brain areas involved in mentalizing and moral cognition (likely because of their role in processing the interplay between personal and contextual factors rather than moral considerations in themselves); (b) undergo the same modulatory influences shaping other kinds of prosocial/cooperative behaviors; and (c) include brain areas involved in attentional/monitoring and emotional/motivational processes, alongside those consistently associated with decision-making processes. Conclusions: These results help interpret the available evidence on the neuro-cognitive bases of SDM while focusing on potential interventions to foster better practices and mitigate the adverse repercussions of climate change on human and global health. Full article

This study examines the relationship between perceived stress and society-wide moral judgment by integrating two influential frameworks: the neo-Kohlbergian approach and the CNI model of utilitarian-deontological decision-making. The neo-Kohlbergian approach to moral judgment proposes three moral schemas: (1) Personal Interest (PI), where decisions are self-focused; (2) Maintaining Norms (MN), which emphasizes adherence to social rules and norms; and (3) Postconventional (PC), where universal ethical principles are prioritized. The CNI model for Utilitarian-Deontological judgment features three psychological processes in decision-making: Sensitivity to Consequence, Sensitivity to Norm, and Inaction Preference. A survey study was conducted to measure perceived stress, neo-Kohlbergian moral judgment (using the behavioral Defining Issues Test [DIT]), and the psychological processes underlying utilitarian-deontological decision-making (CNI). The results indicate that higher perceived stress is linked to greater PI schema endorsement, reduced Norm Sensitivity, and increased Consequence Sensitivity. Furthermore, the PI schema mediated the relationship between perceived stress and Norm Sensitivity. These findings provide insights into how stress shapes moral reasoning and decision-making, with implications for psychological and ethical studies. Full article