BackgroundThe merits and drawbacks of moral relevance models of addiction have predominantly been discussed theoretically, without empirical evidence of these potential effects. This study develops and evaluates a novel survey measure for assessing moral evaluations of patient substance misuse (ME-PSM).MethodsThis measure was tested on 524 health professionals (i.e., physicians, nurses, and other health professionals) in California (n = 173), urban France (n = 102), and urban China (n = 249). Demographic factors associated with ME-PSM were investigated using analyses of variance (...) (ANOVAs) and t-tests, with results suggesting that ME-PSM is higher among younger health professionals, nurses (when compared with physicians and other health professionals), and Chinese health professionals (when compared with French and American health professionals).ResultsResults provide preliminary support for the psychometric quality of the survey measure introduced in this study, including the existence of a single latent structure and partial invariance of collected data across countries.ConclusionThe survey measure for ME-PSM which was developed and tested in the current study appears to hold potential utility for use as a measure of moral views of patient substance misuse. With development, this measure may be used to examine moral evaluations, both as factors of stigma and of other clinical factors associated with the treatment of patients with substance use disorders. (shrink)

Studies of change detection suggest that people tend to overestimate their ability to detect visual changes. In a recent laboratory study of change detection and human intention, Beck et al., found that individuals have an inadequate understanding that intention can improve change detection performance and that its importance increases with scene complexity. We note that these findings may be specific to unfamiliar situations such as those generated routinely in studies of change detection. In two questionnaire studies, we demonstrate that when (...) participants consider real world scenarios such as driving, people are well aware that the intention to detect changes improves detection performance, especially in complex scenes. We suggest several reasons why change detection findings like Beck et al.’s do not generalize to real world situations. More broadly, we suggest a possible way to bridge the gap between lab and life. (shrink)

Studies of change blindness indicate that more intentional monitoring of changes is necessary to successfully detect changes as scene complexity increases. However, there have been conflicting reports as to whether people are aware of this relation between intention and successful change detection as scene complexity increases. Here we continue our dialogue with [Beck, M. R., Levin, D. T., & Angelone, B. . Change blindness blindness: Beliefs about the roles of intention and scene complexity in change detection. Consciousness and Cognition, 16, (...) 31–51; Beck, M. R., Levin, D. T., & Angelone, B. . Metacognitive errors in change detection: Lab and life converge. Consciousness and Cognition, 16, 58–62] by reporting two experiments that show participants do in fact intuit that more intentional monitoring is needed to detect changes as scene complexity increases. We also discuss how this dialogue illustrates the need for psychological studies to be grounded in measurements taken from real world situations rather than laboratory experiments or questionnaires. (shrink)

This paper’s purpose is to provide a foundation for viewing critical thinking as both a maximal and typical performance construct. While maximal performance measures the best a person can do, typical performance measures what the person is most likely to do. An overview of maximal performance, including its history and limitations, will be given. The role of maximal and typical performance in cognitive development will be demonstrated through an exploration of the relationships between behavior, the environment, personality, crystallized intelligence, and (...) fluid intelligence. Furthermore, these topics will be related to the development and use of critical thinking skills. Discussion will conclude with directions for future research. (shrink)

The Council on Ethical and Judicial Affairs of the American Medical Association examines physicians’ professional ethical responsibility in the event that the security of patients’ electronic records is breached.

Although informed consent is important in clinical research, questions persist regarding when it is necessary, what it requires, and how it should be obtained. The standard view in research ethics is that the function of informed consent is to respect individual autonomy. However, consent processes are multidimensional and serve other ethical functions as well. These functions deserve particular attention when barriers to consent exist. We argue that consent serves seven ethically important and conceptually distinct functions. The first four functions pertain (...) principally to individual participants: (1) providing transparency; (2) allowing control and authorization; (3) promoting concordance with participants' values; and (4) protecting and promoting welfare interests. Three other functions are systemic or policy focused: (5) promoting trust; (6) satisfying regulatory requirements; and (7) promoting integrity in research. Reframing consent around these functions can guide approaches to consent that are context sensitive and that maximize achievable goals. (shrink)

Dubourg and Baumard posited that preferences for exploration are the key to the popularity in imaginary worlds. This commentary argues that other forms of exploration may also account for the success and appeal of specific types of imaginary worlds, namely self-exploration within interactive imaginary worlds such as videogames.

In the United States, screening the urine of employees or job applicants for the presence of drugs has become commonplace. A survey of 794 large- and mediumsized companies, conducted by the American Management Association in January 1994, found that 87 percent of them now test job applicants for drug use. In 1987, a similar survey found that 22 percent screened job applicants. Federally mandated drug testing programs with random testing requirements affect millions of workers in the transportation industry, the nuclear (...) power industry, and the United States civil and military services.As some of these programs pass their fifth anniversary since being instituted, it is important to assess the forces that led to their creation. Whether or not these programs are considered successful depends on what one expects to achieve by such widespread testing. (shrink)

In the United States, screening the urine of employees or job applicants for the presence of drugs has become commonplace. A survey of 794 large- and mediumsized companies, conducted by the American Management Association in January 1994, found that 87 percent of them now test job applicants for drug use. In 1987, a similar survey found that 22 percent screened job applicants. Federally mandated drug testing programs with random testing requirements affect millions of workers in the transportation industry, the nuclear (...) power industry, and the United States civil and military services.As some of these programs pass their fifth anniversary since being instituted, it is important to assess the forces that led to their creation. Whether or not these programs are considered successful depends on what one expects to achieve by such widespread testing. (shrink)

It is shown that both covariant harmonic oscillator formalism and quantum field theory are based on common physical principles which include Poincaré covariance, Heisenberg's space-momentum uncertainty relation, and Dirac's “C-number” time-energy uncertainty relation. It is shown in particular that the oscillator wave functions are derivable from the physical principles which are used in the derivation of the Klein-Nishina formula.

While stigmatisation is universal, stigma research in low- and middle-income countries (LMIC) is limited. LMIC stigma research predominantly concerns health-related stigma, primarily regarding HIV/AIDS or mental illness from an adult perspective. While there are commonalities in stigmatisation, there are also contextual differences. The aim of this study in DR Congo (DRC), as a formative part in the development of a common stigma reduction intervention, was to gain insight into the commonalities and differences of stigma drivers (triggers of stigmatisation), facilitators (factors (...) positively or negatively influencing stigmatisation), and manifestations (practices and experiences of stigmatisation) with regard to three populations: unmarried mothers, children formerly associated with armed forces and groups (CAAFAG), and an indigenous population. Group exercises, in which participants reacted to statements and substantiated their reactions, were held with the ‘general population’ (15 exercises, n = 70) and ‘populations experiencing stigma’ (10 exercises, n = 48). Data was transcribed and translated, and coded in Nvivo12. We conducted framework analysis. There were two drivers mentioned across the three populations: perceived danger was the most prominent driver, followed by perceived low value of the population experiencing stigma. There were five shared facilitators, with livelihood and personal benefit the most comparable across the populations. Connection to family or leaders received mixed reactions. If unmarried mothers and CAAFAG were perceived to have taken advice from the general population and changed their stereotyped behaviour this also featured as a facilitator. Stigma manifested itself for the three populations at family, community, leaders and services level, with participation restrictions, differential treatment, anticipated stigma and feelings of scapegoating. Stereotyping was common, with different stereotypes regarding the three populations. Although stigmatisation was persistent, positive interactions between the general population and populations experiencing stigma were shared as well. This study demonstrated utility of a health-related stigma and discrimination framework and a participatory exercise for understanding non-health related stigmatisation. Results are consistent with other studies regarding these populations in other contexts. This study identified commonalities between drivers, facilitators and manifestations—albeit with population-specific factors. Contextual information seems helpful in proposing strategy components for stigma reduction. (shrink)

Since the early 1980’s, with the clinical advent of in vitro fertilization resulting in so-called “test tube babies,” a wide array of ethical considerations and concerns regarding artificial womb technology (AWT) have been described. Recent breakthroughs in the development of extracorporeal neonatal life support by means of AWT have reinitiated ethical interest about this topic with a sense of urgency. Most of the recent ethical literature on the topic, however, pertains not to the more imminent scenario of a physiologically improved (...) method of neonatal care through AWT, but instead to the remote scenario of “complete ectogenesis” that imagines human gestation occurring entirely outside of the womb. This scoping review of the ethical literature on AWT spans from more abstract concerns about complete ectogenesis to more immediate concerns about the soon-to-be-expected clinical life support of what we term the fetal neonate or fetonate. Within an organizing framework of different stages of human gestational development, from conception to the viable premature infant, we discuss both already identified and newly emerging ethical considerations and concerns regarding AWT and the care of the fetonate. (shrink)

Alzheimer's disease (AD) is the most common cause of dementia, and there is currently no cure. The “β‐amyloid cascade hypothesis” of AD is the basis of current understanding of AD pathogenesis and drug discovery. However, no AD models have fully validated this hypothesis. We recently developed a human stem cell culture model of AD by cultivating genetically modified human neural stem cells in a three‐dimensional (3D) cell culture system. These cells were able to recapitulate key events of AD pathology including (...) β‐amyloid plaques and neurofibrillary tangles. In this review, we will discuss the progress and current limitations of AD mouse models and human stem cell models as well as explore the breakthroughs of 3D cell culture systems. We will also share our perspective on the potential of dish models of neurodegenerative diseases for studying pathogenic cascades and therapeutic drug discovery. (shrink)

Stakeholder theory is widely recognized as a management theory, yet very little research has considered its implications for individual managerial decision-making. In the two studies reported here, we used stakeholder theory to examine managerial decisions about balancing stakeholder interests. Results of Study 1 suggest that indivisible resources and unequal levels of stakeholder saliency constrain managers’ efforts to balance stakeholder interests. Resource divisibility also influenced whether managers used a within-decision or an across-decision approach to balance stakeholder interests. In Study 2 we (...) examined instrumental and normative implications of these two approaches. We conclude by considering the contributions of this research. (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 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)

Each contributor to this book has used personal experience as the basis from which to frame his individual sociological perspectives. Because they have personalized their work, their accounts are real, and recognizable as having come from 'real' persons, about 'real' experiences. There are no objectively-distanced disembodied third person entities in these accounts. These writers are actual people whose stories will make you laugh, cry, think, and want to know more.

This article examined the effects of body–object interaction (BOI) on semantic processing. BOI measures perceptions of the ease with which a human body can physically interact with a word's referent. In Experiment 1, BOI effects were examined in 2 semantic categorization tasks (SCT) in which participants decided if words are easily imageable. Responses were faster and more accurate for high BOI words (e.g., mask) than for low BOI words (e.g., ship). In Experiment 2, BOI effects were examined in a semantic (...) lexical decision task (SLDT), which taps both semantic feedback and semantic processing. The BOI effect was larger in the SLDT than in the SCT, suggesting that BOI facilitates both semantic feedback and semantic processing. The findings are consistent with the embodied cognition perspective (e.g., Barsalou's, 1999, Perceptual Symbols Theory), which proposes that sensorimotor interactions with the environment are incorporated in semantic knowledge. (shrink)

This article tracks Corporate Social Responsibility (CSR) as an emergent organizational process that places the employee at its center. Predominantly, research on CSR tends to focus on external pressures and outcomes leading to a neglect of CSR as a dynamic and developing process that relies on the involvement of the employee as a major stakeholder in its co-creation and implementation. Utilizing case study data drawn from a study of a large multinational energy company, we explore how management relies on employees' (...) interaction with CSR as the process of initiation → implementation → maturation develops. Employee involvement grows from a minor element in the CSR initiation stage to a vital contributory factor in CSR's success in the later stages of the process. The article offers new insights into a processual and interactional approach to CSR that accounts for the actions of different actors involved at each stage. Most unusually, it also recognizes the dual impact this has on broader issues concerning the management and involvement of employees through CSR actions, and gaining legitimacy in the eyes of not only external stakeholders but internal too. (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)

Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes of text from social media platforms to gain insights on disease symptoms, understand barriers to care and predict disease outbreaks. However, AI-based decisions may contain biases that could misrepresent populations, skew results or lead to errors. Bias, within the scope of this paper, is described as (...) the difference between the predictive values and true values within the modelling of an algorithm. Bias within algorithms may lead to inaccurate healthcare outcomes and exacerbate health disparities when results derived from these biased algorithms are applied to health interventions. Researchers who implement these algorithms must consider when and how bias may arise. This paper explores algorithmic biases as a result of data collection, labelling and modelling of NLP algorithms. Researchers have a role in ensuring that efforts towards combating bias are enforced, especially when drawing health conclusions derived from social media posts that are linguistically diverse. Through the implementation of open collaboration, auditing processes and the development of guidelines, researchers may be able to reduce bias and improve NLP algorithms that improve health surveillance. (shrink)

This volume of Eurasian Studies in Business and Economics includes selected papers from the 24th Eurasia Business and Economics Society (EBES) Conference, held in Bangkok. The theoretical and empirical papers gathered here cover diverse areas of business and management from different geographic regions; yet the main focus is on the latest findings on evolving marketing methods, analytics, communication standards, and their effects on customer value and engagement. The volume also includes related studies that analyze sustainable consumer behavior, and business strategy-related (...) topics such as cross-border restructuring, quality management standards, and the internationalization of SMEs. (shrink)

Robust technology infrastructure is needed to enable learning health care systems to improve quality, access, and cost. Such infrastructure relies on the trust and confidence of individuals to share their health data for healthcare and research. Few studies have addressed consumers’ views on electronic data sharing and fewer still have explored the dual purposes of healthcare and research together. The objective of the study is to explore factors that affect consumers’ willingness to share electronic health information for healthcare and research. (...) This study involved a random-digit dial telephone survey of 800 adult Californians conducted in English and Spanish. Logistic regression was performed using backward selection to test for significant associations of each explanatory variable with the outcome variable. The odds of consent for electronic data sharing for healthcare decreased as Likert scale ratings for EHR impact on privacy worsened, odds ratio = 0.74, 95% CI [0.60, 0.90]; security, OR = 0.80, 95% CI [0.66, 0.98]; and quality, OR = 0.59, 95% CI [0.46–0.75]. The odds of consent for sharing for research was greater for those who think EHR will improve research quality, OR = 11.26, 95% CI [4.13, 30.73]; those who value research benefit over privacy OR = 2.72, 95% CI [1.55, 4.78]; and those who value control over research benefit OR = 0.49, 95% CI [0.26, 0.94]. Consumers’ choices about electronically sharing health information are affected by their attitudes toward EHRs as well as beliefs about research benefit and individual control. Design of person-centered interventions utilizing electronically collected health information, and policies regarding data sharing should address these values of importance to people. Understanding of these perspectives is critical for leveraging health data to support learning health care systems. (shrink)

The ways in which people conceptualize the human–nature relationship have significant implications for proenvironmental values and attitudes, sustainable behavior, and environmental policy measures. Human exceptionalism (HE) is one such conceptual framework, involving the belief that humans and human societies exist independently of the ecosystems in which they are embedded, promoting a sharp ontological boundary between humans and the rest of the natural world. In this paper, we introduce HE in more depth, exploring the impact of HE on perceptions of the (...) human–nature relationship, the role of culture in HE, and speculating on the origins of HE. We consider potential implications for environmental decision-making, conservation and environmental science, and promoting proenvironmental behavior. We present empirical evidence on the pervasiveness and consequences of HE in WEIRD (Western, Educated, Industrialized, Rich and Democratic) populations, and potential interventions. Finally, we close with implications of human-exceptionalist thinking on other sustainability-related fields, including conservation practices, nature management, climate change adaptation, and environmental science. Understanding the cognitive and social drivers of this disconnect is vital on a planet now dominated by environmental change, as not only are humans increasingly impacted by natural disasters, but the choices they make can have ever more dire consequences for the sustainability of ecosystems. (shrink)

This article attempts to introduce some of the central dimensions of Jacques Derrida's thought, with attention given to both early and late texts in his oeuvre.

Cicero's De finibus, written in 45 BC, consists of three separate dialogues, dealing respectively with the ethical systems of Epicureanism, Stoicism, and the `Old Academy' of Antiochus of Ascalon. This critical edition of the text, based on a fresh study and collation of the manuscripts, is the first to appear for many years and the first to reflect a clear understanding of the whole manuscript tradition. It will be the second in a series of editions of Cicero's philosophical works; the (...) first volume, the De officiis, edited by Michael Winterbottom, appeared in 1994. (shrink)