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The purpose of this study is to introduce the concept of workplace camaraderie and to investigate the mechanism through which workplace camaraderie influences incivility at the workplace. The study is explained by taking the sequential mediation of personal biases leading to cronyism and favoritism. Social identity theory is used as the underpinning theory to explain the framework adopted.

Positivism research philosophy followed by the deductive approach is followed to meet the objectives of the current study. In total, 171 employees working in public sector organizations were taken as the respondents to the study. A purposive sampling technique was used to collect the data through self-administrated questionnaires. Path model is used through Mplus to generate the results and test hypotheses.

The results suggested that workplace camaraderie significantly affects incivility at a workplace with the sequential mediation of personal biases leading to cronyism and favoritism.

Although several researchers have studied the link between camaraderie and other employees’ related attitudinal and behavioral outcomes, few have explored the roles of personal biases, cronyism and favoritism in the relationship to incivility. This study thus posits a novel sequential mediation mechanism, based on the social identity theory, through which camaraderie is translated into civil behavior. Moreover, this study adds value by investigating this model in the public sector, where camaraderie can come up with important consequences.

To add new empirical knowledge to debates about social practices of peer production communities, and to conversations about bias and its implications for democracy. To help identify Wikipedia (WP) articles that are affected by systematic bias and hopefully help alleviate the impact of such bias on the general public, thus helping enhance both traditional (e.g. libraries) and online information services (e.g. Google) in ways that contribute to democracy. This paper aims to discuss the aforementioned objectives.

Quantitatively, the authors identify edit-warring camps across many conflict zones of the English language WP, and profile and compare success rates and typologies of camp edits in the corresponding topic areas. Qualitatively, the authors analyze the edit war between two senior WP editors that resulted in imbalanced and biased articles throughout a topic area for such editorial characteristics through a close critical reading.

Through a large-scale quantitative study, the authors find that winner-take-all camps exhibit biasing editing behaviors to a much larger extent than the camps they successfully edit-war against, confirming findings of prior small-scale qualitative studies. The authors also confirm the employment of these behaviors and identify other behaviors in the successful silencing of traditional medicinal knowledge on WP by a scientism-biased senior WP editor through close reading.

WP sadly does, as previously claimed, appear to be a platform that represents the biased viewpoints of its most stridently opinionated Western white male editors, and routinely misrepresents scholarly work and scientific consensus, the authors find. WP is therefore in dire need of scholarly oversight and decolonization.

The authors independently verify findings from prior personal accounts of highly power-imbalanced fights of scholars against senior editors on WP through a third-party close reading of a much more power balanced edit war between senior WP editors. The authors confirm that these findings generalize well to edit wars across WP, through a large scale quantitative analysis of unbalanced edit wars across a wide range of zones of contention on WP.

The scoring system for the National Board for Professional Teaching Standards (NBPTS) assessments was a groundbreaking undertaking that brought with it a host of unanticipated challenges. These, in turn, generated a complete revision of the approach to scoring and the design underwent a number of changes during the first decade. Beginning with an analytical model which was so ambitious that it was entirely too cumbersome and complex to be undertaken within a reasonable timeframe, assessment developers had to systematically redesign a scoring system that would be at once reliable, valid, and operationally feasible.

The relevance of present consumption bias on personal finance has been confirmed in several studies and has important theoretical and practical implications. It has important, measurable implications when analyzing commitment or self-control, adherence to healthy habits (e.g. exercising or dieting), procrastination tendencies or savings. The purpose of this paper is to contribute to our understanding of these issues by postulating a model of income uncertainty within a hyperbolic discounting framework that measures the cost of financial intertemporal inconsistencies related to this bias. The emphasis is on the analysis of this cost. We also propose experimental designs and consistent estimation methods, as well as agent-based modelling extensions.

The authors develop a finite-horizon model with hyperbolic preferences. Individuals have a present bias distinct from their discount rate so their choices face intertemporal inconsistencies. The authors further extend the analysis with uncertainty about future incomes. Specifically, individuals live for three periods, and the authors find the optimal consumption levels in the perfect-information benchmark by backward induction. They then proceed to add biases and uncertainty to characterize their implications and measure the costs of the intertemporal inconsistencies they cause.

The authors measure how an agent's utility is greater when they “tie their hands” than when they are free to re-evaluate and change their consumption schedule. This “cost of being vulnerable to falling into temptation” only depends (increasingly) on the measure of the present bias and (decreasingly) on the discount factor. They analyze the varying effects on utility and consumption of changes in impatience and optimism. They conclude by discussing theoretical and practical implications; they also propose agent-based simulations, as well as empirical and experimental designs, to further test the relevance and applications of the results.

This model has important, measurable implications when analyzing commitment or self-control, adherence to healthy habits (e.g. exercising or dieting), procrastination tendencies or savings.

The results enhance the estimation of the costs of present biases such that employers can better identify the incentives required to acquire and retain human capital. The authors provide evidence that workers are vulnerable to contract renegotiations and about the need for a regulator that restores ex-ante efficiency. Similarly, in the private sector, firms could recognize the postulated consumer profiles and focus their resources on anxious, too-optimistic or potentially addictive consumers; this, again, provides some justification about the need for a regulator.

In traditional exponential discounting, the marginal rate of substitution of consumption between two points depends only on their distance; thus, it allows none of the intertemporal inconsistencies we often observe in real life. Therefore, hyperbolic discounting better fits the data. The authors model choice under uncertainty and focus on the costs caused when present biases (ex-post) push behaviour away from ex-ante optimality. They conclude by proposing experimental designs to further enhance the estimation and implications of these costs. The postulated refinements have the potential to improve previous analyses on commitment devices and commitment-related regulation.

The insurance industry often experiences criticism for unethical and frequently illegal activities. This document suggests that insurers operate in an uncompetitive environment and that the nature of insurer operations leads otherwise ethical individuals in the direction of questionable ethical decisions throughout the operations of an insurance company.

Managing risk and making decisions presents an increasing challenge to doctors as they are encouraged to adopt a partnership approach with patients to dealing with risk, within a “risk society” constructed around individuality, uncertainty, blame and responsibility. In‐depth interviews, stimulated by clinical vignettes, were used to explore the key position of doctors within this risk society. Analysis, sensitised through contemporary texts, revealed unexpected findings that portrayed doctors as reflexive jugglers of risk. Discourses in this study revealed indecision and uncertainty, balanced against needs to preserve professional roles and engage patients in addressing risk, whilst preventing widespread harm and conflict. In concluding, the alternative approaches to risk with older people will suggest a more trusting and positive process that presents a real opportunity for truly sharing risk and decisions that benefit both doctor and patient.

This study aims to investigate the reliability of a mystery client (MC) as a service evaluation technique taking into consideration personal differences of the MC agents.

The ratings from 144 MCs from 355 evaluations of computer and electronic stores were cross analyzed with eight psychographic and demographic profile variables.

MCs who were highly involved in the product category were more critical of service responsiveness with respect to product demonstrations and listening to customer requirements. On the other hand, MCs with stronger faith in intuition were more inclined to rate services higher on empathy with respect to employees making a conscientious effort to understand customers’ needs.

Depending on the service marketing goals, managers learn to define which aspects of MC profile they should consider or avoid during the recruitment as well as becoming more critical when they analyze the evaluation reports to avoid an interpretation bias.

The usefulness of the MC tool relies on its reliability and credibility as a marketing research technique. It was identified that the MC personality traits are more likely associated with marketing service evaluation variability.

The purpose of this paper is to review evidence related to the factors that influence people's understanding of health information and how miscommunication of health information can jeopardize people's health.

A literature review was conducted of English language articles, cited in major literature databases from the last 40 years, which describe factors related to comprehension of health information. A total of 93 articles were included.

The paper finds that health communication should take into consideration the role of the following factors on the processing and interpretation of health information: health literacy, format presentation of information, and human cognitive biases and affective/personal influences.

Health communication is a major component of health care. Every health care encounter involves exchange of information, which is intended to enhance people's knowledge in order to assist them to make an informed decision about their health care. However, the mere act of providing information does not guarantee comprehension. People's comprehension of information depends on several factors, including health literacy and numeracy skills, the format presentation of health information and human cognitive biases in the information processing and interpretation. Ineffective health communication can result in a wide range of direct and indirect health consequences including failure to understand and comply with treatment, poorer health status, increased risk of injuries, increased hospitalization, and decreased use of preventive services.

This paper provides health professionals and educators with an overview of important issues related to health communication and highlights strategies that facilitate effective communication to help people to make informed decisions about their health care.

The purpose of this study is to propose a systematic method for the diffusion of forecasting technology in the pre‐launch stage.

The authors designed survey question items that are familiar to interviewees as well as algebraically transformable into the parameters of a logistic diffusion model. In addition, they developed a procedure that reduces inconsistency in interviewee responses, removes outliers, and verifies conformability, in order to reduce the error and yield robust estimation results.

The results show that the authors' method performed better in the empirical cases of digital media broadcasting and internet protocol television in terms of sum of squared error compared with an existing survey‐based method, a regression method, and the guessing‐by‐analogy method. Specifically, the authors' method can reduce the error by using the conformability and outlier tests, while the consistency factor contributes to determining the final estimate with personal estimates.

The procedure proposed in this study is confined to the presented logistic model. Future research should aim to extend its application to other representative diffusion models such as the Bass model and the Gompertz model.

The authors' method provides a better quality of forecasting for innovative new products and services compared with the guessing‐by‐analogy method, and it contributes to managerial decisions such as those in production planning.

The authors introduce the concepts of conformability and consistency in order to reduce the error from personal biases and mistakes. Based on these concepts, they develop a procedure to yield robust estimation results with less error.