Counter-stereotypical pictures as a strategy for overcoming spontaneous gender stereotypes

The present research investigated the use of counter-stereotypical pictures as a strategy for overcoming spontaneous gender stereotypes when certain social role nouns and professional terms are read. Across two experiments, participants completed a judgment task in which they were presented with word pairs comprised of a role noun with a stereotypical gender bias (e.g., beautician) and a kinship term with definitional gender (e.g., brother). Their task was to quickly decide whether or not both terms could refer to one person. In each experiment they completed two blocks of such judgment trials separated by a training session in which they were presented with pictures of people working in gender counter-stereotypical (Experiment 1) or gender stereotypical roles (Experiment 2). To ensure participants were focused on the pictures, they were also required to answer four questions on each one relating to the character’s leisure activities, earnings, job satisfaction, and personal life. Accuracy of judgments to stereotype incongruent pairings was found to improve significantly across blocks when participants were exposed to counter-stereotype images (9.87%) as opposed to stereotypical images (0.12%), while response times decreased significantly across blocks in both studies. It is concluded that exposure to counter-stereotypical pictures is a valuable strategy for overcoming spontaneous gender stereotype biases in the short term

Biased against Debiasing: On the Role of (Institutionally Sponsored) Self-Transformation in the Struggle against Prejudice

Research suggests that interventions involving extensive training or counterconditioning can reduce implicit prejudice and stereotyping, and even susceptibility to stereotype threat. This research is widely cited as providing an “existence proof” that certain entrenched social attitudes are capable of change, but is summarily dismissed—by philosophers, psychologists, and activists alike—as lacking direct, practical import for the broader struggle against prejudice, discrimination, and inequality. Criticisms of these “debiasing” procedures fall into three categories: concerns about empirical efficacy, about practical feasibility, and about the failure to appreciate the underlying structural-institutional nature of discrimination. I reply to these criticisms of debiasing, and argue that a comprehensive strategy for combating prejudice and discrimination should include a central role for training our biases awa

Bias in judgement: Comparing individuals and groups

The relative susceptibility of individuals and groups to systematic judgmental biases is considered. An overview of the relevant empirical literature reveals no clear or general pattern. However, a theoretical analysis employing J. H. Davis's (1973) social decision scheme (SDS) model reveals that the relative magnitude of individual and group bias depends upon several factors, including group size, initial individual judgment, the magnitude of bias among individuals, the type of bias, and most of all, the group-judgment process. It is concluded that there can be no simple answer to the question, "Which are more biased, individuals or groups?," but the SDS model offers a framework for specifying some of the conditions under which individuals are both more and less biased than groups

Political Activism and Research Ethics

Those who care about and engage in politics frequently fall victim to cognitive bias. Concerns that such bias impacts scholarship recently have prompted debates—notably, in philosophy and psychology—on the proper relationship between research and politics. One proposal emerging from these debates is that researchers studying politics have a professional duty to avoid political activism because it risks biasing their work. While sympathetic to the motivations behind this proposal, I suggest several reasons to reject a blanket duty to avoid activism: (1) even if it reduced bias, this duty would make unreasonable demands on researchers; (2) this duty could hinder research by limiting viewpoint diversity; (3) this duty wrongly implies that academia offers a relative haven from bias compared to politics; and (4) not all forms of political activism pose an equal risk of bias. None of these points suggest that researchers should ignore the risk of bias. Rather, researchers should focus on stronger evidence-based strategies for reducing bias than a blanket recommendation to avoid politics

The Curse of Knowledge in Economic Settings: An Experimental Analysis

In economic analyses of asymmetric information, better-informed agents are assumed capable of reproducing the judgments of less-informed agents. We discuss a systematic violation of this assumption that we call the "curse of knowledge." Better-informed agents are unable to ignore private information even when it is in their interest to do so; more information is not always better. Comparing judgments made in individual-level and market experiments, we find that market forces reduce the curse by approximately 50 percent but do not eliminate it. Implications for bargaining, strategic behavior by firms, principal-agent problems, and choice under un-certainty are discussed

Effective forecasting for supply-chain planning: an empirical evaluation and strategies for improvement

Demand forecasting is a crucial aspect of the planning process in supply-chain companies. The most common approach to forecasting demand in these companies involves the use of a simple univariate statistical method to produce a forecast and the subsequent judgmental adjustment of this by the company's demand planners to take into account market intelligence relating to any exceptional circumstances expected over the planning horizon. Based on four company case studies, which included collecting more than 12,000 forecasts and outcomes, this paper examines: i) the extent to which the judgmental adjustments led to improvements in accuracy, ii) the extent to which the adjustments were biased and inefficient, iii) the circumstances where adjustments were detrimental or beneficial, and iv) methods that could lead to greater levels of accuracy. It was found that the judgmentally adjusted forecasts were both biased and inefficient. In particular, market intelligence that was expected to have a positive impact on demand was used far less effectively than intelligence suggesting a negative impact. The paper goes on to propose a set of improvements that could be applied to the forecasting processes in the companies and to the forecasting software that is used in these processes

The Powerful Triangle of Marketing Data, Managerial Judgment, and Marketing Management Support Systems

In this paper we conceptualize the impact of information technology on marketing decision-making. We argue that developments in information technology affect the performance of marketing decision-makers through different routes. Advances in information technology enhance the possibilities to collect data and to generate information for supporting marketing decision-making. Potentially, this will have a positive impact on decision-making performance. Managerial expertise will favor the transformation of data into market insights. However, as the cognitive capabilities of marketing managers are limited, increasing amounts of data may also increase the complexity of the decision-making context. In turn, increased complexity enhances the probability of biased decision processes (e.g., the inappropriate use of heuristics) thereby negatively affecting decision-making performance. Marketing management support systems, also being the result of advances in information technology, are tools that can help marketers to benefit from the data explosion. These systems are able to increase the value of data and, at the same time, make decision-makers less vulnerable to biased decision processes. Our analysis leads to the expectation that the combination of marketing data, managerial judgment, and marketing management support systems will be a powerful factor for improving marketing management. Implications of our analysis are discussed.decision making;decision biases;information technology;marketing management support systems

Risk Perception and Drug Safety Evaluation

The authors present a Risk communication framework based on a survey of empirical research concerning public Risk perceptions. They also apply it to the area of pharmaceutical regulation to suggest more effective regulatory strategies

Improving social corporate responsibility : the case of bullying behavior

This article highlights moral harassment at the workplace as a form of corruption in organizations. This form of corruption has cost organizations billions of dollars each year. A theoretical model is presented in this paper, which explains the main factors that affect bullying processes impact on organizations. Suggestions are provided in this paper, as tools to eliminate bullying within the workplace

American Medicine and the Politics of Race

Straw men play a major role in the debate over racial disparity in American medicine. Most have been deployed by the disparities-denying right, but progressives intent on “outing” racism have sent forth their share. This essay flushes out the straw men while attempting to understand the competing moral premises that drive the politics of health care disparity. At bottom, arguments about the scope of disparity and discrimination in medical care are disputes about the appropriate scope of personal responsibility for life circumstances. Further research into the factors that correlate with racial differences in health care can shed light on the circumstances that bring about these differences.Whether these circumstances, once understood, should be deemed acceptable is a moral and political matter, and sharp differences over the scope of personal and public responsibility for these circumstances are inevitable. Such disagreements, however, distract us from efforts to reach common ground solutions to agreed-upon inequities in health care