Monetary intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the dark side of monetary Intelligence and behavioral economics—dishonesty. Dishonesty, a risky prospect, involves cost–benefit analysis of self-interest. We frame good or bad barrels in the environmental context as a proxy of high or low probability of getting caught for dishonesty, respectively. We theorize: The magnitude and intensity of (...) the relationship between love of money and dishonest prospect may reveal how individuals frame dishonesty in the context of two levels of subjective norm—perceived corporate ethical values at the micro-level and Corruption Perceptions Index at the macro-level, collected from multiple sources. Based on 6382 managers in 31 geopolitical entities across six continents, our cross-level three-way interaction effect illustrates: As expected, managers in good barrels, mixed barrels, and bad barrels display low, medium, and high magnitude of dishonesty, respectively. With high CEV, the intensity is the same across cultures. With low CEV, the intensity of dishonesty is the highest in high CPI entities —the Enron Effect, but the lowest in low CPI entities. CPI has a strong impact on the magnitude of dishonesty, whereas CEV has a strong impact on the intensity of dishonesty. We demonstrate dishonesty in light of monetary values and two frames of social norm, revealing critical implications to the field of behavioral economics and business ethics. (shrink)

BackgroundEthical sensitivity is a prerequisite for ethical nursing practices. Efforts to improve nurses’ ethical sensitivity are required to correctly recognise ethical conflicts and for sound decision-making. Because an emerging infectious disease response involves complex ethical issues, it is important to understand the factors that influence public health nurses’ ethical sensitivity while caring for patients with COVID-19, an emerging infectious disease.ObjectivesThis study aims to identify the relationship between nursing professionalism, the organisation’s ethical climate, and the ethical sensitivity of nurses who care (...) for emerging infectious disease patients in Korean public health centres. Further, it sought to identify factors influencing ethical sensitivity and the mediating effect of the organisational ethical climate to inform guidelines and improve ethical sensitivity.Research designThis was a cross-sectional descriptive study.Participants and research contextData were collected from February 3 to 8 March 2021. Participants included 167 nurses caring for patients with COVID-19 in public health centres in South Korea.Ethical considerationThis study was approved by the Institutional Review Board of the Chung-Ang University and followed the principles of research ethics.ResultsThe factors influencing ethical sensitivity were working at a COVID-19 disease direct response department, nursing professionalism, and organisation’s ethical climate. The organisation’s ethical climate showed a partial mediating effect on the influence of nursing professionalism on ethical sensitivity.ConclusionOur findings show that nurses’ ethical sensitivity can be improved by refining the organisation’s ethical climate and nursing professionalism. (shrink)

Monetary Intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the bright side of Monetary Intelligence and behavioral economics, frames money attitude in the context of pay and life satisfaction, and controls money at the macro-level and micro-level. We theorize: Managers with low love of money motive but high stewardship behavior will have high subjective well-being: pay satisfaction and (...) quality of life. Data collected from 6586 managers in 32 cultures across six continents support our theory. Interestingly, GDP per capita is related to life satisfaction, but not to pay satisfaction. Individual income is related to both life and pay satisfaction. Neither GDP nor income is related to Happiness. Our theoretical model across three GDP groups offers new discoveries: In high GDP entities, “high income” not only reduces aspirations—“Rich, Motivator, and Power,” but also promotes stewardship behavior—“Budget, Give/Donate, and Contribute” and appreciation of “Achievement.” After controlling income, we demonstrate the bright side of Monetary Intelligence: Low love of money motive but high stewardship behavior define Monetary Intelligence. “Good apples enjoy good quality of life in good barrels.” This notion adds another explanation to managers’ low magnitude of dishonesty in entities with high Corruption Perceptions Index. In low GDP entities, high income is related to poor Budgeting skills and escalated Happiness. These managers experience equal satisfaction with pay and life. We add a new vocabulary to the conversation of monetary intelligence, income, GDP, happiness, subjective well-being, good and bad apples and barrels, corruption, and behavioral ethics. (shrink)

Background: The concept of digital twins has great potential for transforming the existing health care system by making it more personalized. As a convergence of health care, artificial intelligence, and information and communication technologies, personalized health care services that are developed under the concept of digital twins raise a myriad of ethical issues. Although some of the ethical issues are known to researchers working on digital health and personalized medicine, currently, there is no comprehensive review that maps the major ethical (...) risks of digital twins for personalized health care services. Objective: This study aims to fill the research gap by identifying the major ethical risks of digital twins for personalized health care services. We first propose a working definition for digital twins for personalized health care services to facilitate future discussions on the ethical issues related to these emerging digital health services. We then develop a process-oriented ethical map to identify the major ethical risks in each of the different data processing phases. Methods: We resorted to the literature on eHealth, personalized medicine, precision medicine, and information engineering to identify potential issues and developed a process-oriented ethical map to structure the inquiry in a more systematic way. The ethical map allows us to see how each of the major ethical concerns emerges during the process of transforming raw data into valuable information. Developers of a digital twin for personalized health care service may use this map to identify ethical risks during the development stage in a more systematic way and can proactively address them. Results: This paper provides a working definition of digital twins for personalized health care services by identifying 3 features that distinguish the new application from other eHealth services. On the basis of the working definition, this paper further layouts 10 major operational problems and the corresponding ethical risks. Conclusions: It is challenging to address all the major ethical risks that a digital twin for a personalized health care service might encounter proactively without a conceptual map at hand. The process-oriented ethical map we propose here can assist the developers of digital twins for personalized health care services in analyzing ethical risks in a more systematic manner. (shrink)

This paper investigates the layoff behavior, a typical people dimension of corporate social performance, of family firms from a place-based perspective. We theorize that a place-based culture within family firms ensures that all organizational members share a deep sense of connection with the place of operations which makes them inherently care about their impact on society. Using data on layoffs of 2000 largest US firms between 1994 and 2007, we find that family firms do indeed exhibit a lower tendency to (...) lay off employees in comparison to non-family firms; this relationship is particularly strong in ‘places’ with low population where the negative social externalities related to layoffs tend to be higher. Further post hoc analyses indicate that family firms have a strong place-based culture which can provide resource-based competitive advantages. (shrink)

Internalism restricts justifiers to what is "within" the subject. two main forms of internalism are (1) perspectival internalism (pi), which restricts justifiers to what the subject knows or justifiably believes, and (2) access internalism (ai), which restricts justifiers to what is directly accessible to the subject. the two forms are analyzed and interrelated, and the grounds for each are examined. it is concluded that although pi is both unacceptable and without adequate support, a modest form of ai might be defended.

Corruption involves greed, money, and risky decision-making. We explore the love of money, pay satisfaction, probability of risk, and dishonesty across cultures. Avaricious monetary aspiration breeds unethicality. Prospect theory frames decisions in the gains-losses domain and high-low probability. Pay dissatisfaction (in the losses domain) incites dishonesty in the name of justice at the individual level. The Corruption Perceptions Index, CPI, signals a high-low probability of getting caught for dishonesty at the country level. We theorize that decision-makers adopt avaricious love-of-money aspiration (...) as a lens and frame dishonesty in the gains-losses domain (pay satisfaction-dissatisfaction, Level 1) and high-low probability (CPI, Level 2) to maximize expected utility and ultimate serenity. We challenge the myth: Pay satisfaction mitigates dishonesty across nations consistently. Based on 6500 managers in 32 countries, our cross-level three-dimensional visualization offers the following discoveries. Under high aspiration conditions, pay dissatisfaction excites the highest- (third-highest) avaricious justice-seeking dishonesty in high (medium) CPI nations, supporting the certainty effect. However, pay satisfaction provokes the second-highest avaricious opportunity-seizing dishonesty in low CPI entities, sustaining the possibility effect—maximizing expected utility. Under low aspiration conditions, high pay satisfaction consistently leads to low dishonesty, demonstrating risk aversion—achieving ultimate serenity. We expand prospect theory from a micro and individual-level theory to a cross-level theory of monetary wisdom across 32 nations. We enhance the S-shaped Curve to three 3-D corruption surfaces across three levels of the global economic pyramid, providing novel insights into behavioral economics, business ethics, the environment, and responsibility. (shrink)

The epistemology and phenomenology of contemporary society tend to be deepened, and the philosophical challenges never are minimal that we may be called to face with the kind of post-modern chaos from the rapidly changing phenomena of the global community. The ballast held on the identity of faculty members as a teacher and researcher now turns due so as to be recast with our intrinsic of routine performance. I considered their quality as bent on the intellectual strife on the method (...) and the kind of attitude, say, evaluation and consultation. In this paper, the authors have presented some thought and implications that triangulated the triad, i.e., research methodology, program evaluation and consulting illustration on the college research program rankings. The author is hoped that the discourse can help the academicians to share the attribute of different methods as well as the dimension of evaluation and consulting, perhaps essentially related with their work role in terms of teaching and researching. Keywords: Research Method, Qualitative Studies, Mixed Method, Program Evaluation, Theory and Philosophy, Program Rankings, Consulting, Journal Writing. (shrink)

Ki Su Kim; J. S. Mill's Concept of Maturity as the Criterion in Determining Children's Eligibility for Rights, Journal of Philosophy of Education, Volume 24, Is.

Background:An understanding of the ethical concerns encountered by visiting nurses in the community is needed. Yet, there is a lack of research on this topic.Objectives:The purpose of this study was to explore the ethical concerns that visiting nurses experience when caring for vulnerable older people living in a community.Design and sample:A qualitative thematic analysis was used to explore the nature of the ethical issues experienced by visiting nurses (N = 13) who care for vulnerable older people, over 65 years of (...) age, in a South Korean community.Methods:In-depth interviews were conducted with visiting nurses. Qualitative thematic analysis was used to explore the main themes of the phenomenon.Ethical considerations:This study was approved by the Institutional Review Board of Chung-Ang University Bioethics Committee in South Korea.Results:Four ethical themes emerged from the qualitative data: (a) quantitative performance rather than quality care, (b) clients being invisible, (c) tuning the level of the relationship with clients, and (d) facing the visiting nurses’ own limitations.Conclusion:This study provides a theoretical basis to understand the ethical aspects of visiting nurses’ interactions with clients, which should facilitate the development of ethical guidelines for visiting nurses to use in making ethical decisions in their practice. (shrink)

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)

Editorial for ‘One Christ—Many Witnesses: Marking the Completion of the Regnum Edinburgh Centenary Series’, a special issue to celebrate the Regnum Edinburgh Centenary Issue.

The advent of artificial intelligence and the Internet of Things has revolutionized user experience with objects. Things can perform social roles and convey persuasive messages to users, posing an important research question for communication and human-computer interaction researchers: What are the factors and underlying mechanisms that shape persuasive effects of IoT? Bridging the reactance theory and the computers are social actors paradigm, this study focuses on how power dynamics are shaped in human-IoT interactions and its implications on persuasion. Specifically, the (...) study examines the effects of the social role assigned to the IoT mobile app agent and the scope of IoT controlled by the app on users’ perceived power and subsequent persuasive outcomes. The results reveal that when the mobile IoT app is for controlling a smart home, the servant agent elicits greater perceived power over IoT for users, leading to less threat-to-freedom and better persuasive outcomes, including attitude, intention, and actual behavior. However, such a difference is not observed when the mobile app is for controlling a single smart device. The study findings offer valuable implications for communication practitioners interested in using IoT as a persuasive tool. (shrink)

Sang. Isŏng 1-chip - 9-chip -- Ha. Isŏng 10-chip - 19-chip.

In current epistemology, there are two different conceptions of epistemic justification. According to the first genetic conception, a justified belief is a well-formed belief. According to the second defense conception, how the belief is formed is irrelevant to the epistemic justification of the belief. What is important for the justification of the belief is whether the cognitive agent has a defense of the belief in question. ;I construct my own defense account of epistemic justification on the basis of criticizing current (...) defense accounts of epistemic justification. The gist of my account is that I am justified in believing that p only if my belief that p is stored in my memory with a proper causal connection with other psychological states of mine that are adequate grounds for the belief that p. This illuminates an interesting symmetry between the genetic conception of epistemic justification and the defense conception of epistemic justification: in the genetic conception, justified belief is well-formed belief, whereas in a defense conception justified belief is well-stored belief. ;My account is different from current defense theories of epistemic justification in two respects. First, in my account some type of causal relation between the belief and its adequate grounds is crucial for epistemic justification, while other theories deny the relevance of any causal consideration to the justification of beliefs. Their denial is a manifestation of a dogma--the Psychologistic Assumption--deeply rooted in traditional epistemology, such that epistemic justification is wholly a function of psychological states of a cognitive agent. I show that this dogma has to be abandoned. Second, other theories require the explicit representation of the belief about the evidential relation between the belief in question and its adequate grounds. In them, this explicitly represented higher-level belief constitutes the defense of the belief in question. I show that, due to this requirement of explicitly represented higher-level beliefs, current defense accounts run into numerous insuperable problems. Meanwhile, my theory does not face these problems because it does not require higher-level beliefs. (shrink)