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Observes racial stereotypes and explains the way human beings “see” one another because of this. Adumbrates that even as far back as 1798, the media stereotyped people into various groups, and subsequent surveys only seem to emphasize this. Lists out the more common racial stereotypes using (US) surveys to collect peoples’ thoughts and feelings. Shows how to overcome racial stereotypes. Sums up that communication barriers can ensue from stereotyping races and that people should be responsible in overlooking media influences in this area.

In Brazil, over 4.7 million women enrolled in university in the year 2017. However, Brazilian women have been consistently overrepresented in humanities and care majors and underrepresented in science, technology, engineering and mathematics (STEM). Given that observed gender differences in math-intensive fields have lasting effects on gender inequality in the labor market, and that observed gender variations do not necessarily associate with differences in innate ability, in this paper we explore the paths of societal gender bias and gender differences in a Brazilian university.

We conduct a social experiment at a University in Southeastern Brazil, applying the gender-STEM Implicit Association Test.

We found that women in STEM are less likely to show gender-STEM implicit stereotypes, compared to women in humanities. The results indicate a negative correlation between implicit gender stereotyping and the choice of math-intensive majors by women.

The stereotype-congruent results are indicative of the gender bias in Brazilian society, and suggest that stereotypes created at early stages in life are directly related to future outcomes that reinforce gender disparities in Brazil, which can be observed in career choices.

Drawing on person–environment fit theory, this study aims to investigate how the relationships between service task types (i.e. utilitarian and hedonic service tasks) and perceived authenticity (i.e. service and brand authenticity) differ under different conditions of service providers (human employee vs service robot). This study further examines whether customers’ stereotypes toward service robots (competence vs warmth) moderate the relationship between service types and perceived authenticity.

Using a 2 × 2 between-subjects experimental design, Study 1 examines a casual restaurant, whereas Study 2 assesses a theme park restaurant. Analysis of covariance and PROCESS are used to analyze the data.

Both studies reveal that human service providers in hedonic services positively affect service and brand authenticity more than robotic employees. Additionally, the robot competence stereotype moderates the relationship between hedonic services, service and brand authenticity, whereas the robot warmth stereotype moderates the relationship between hedonic services and brand authenticity in Study 2.

Restaurant managers need to understand which functions and types of service outlets are best suited for service robots in different service contexts. Robot–environment fit should be considered when developers design and managers select robots for their restaurants.

This study blazes a new theoretical trail of service robot research to systematically propose customer experiences with different service types by drawing upon person–environment fit theory and examining the moderating role of customers’ stereotypes toward service robots.

The purpose of the study is to develop a valid measure of stereotype threat.

A convenience sample of 2,900 respondents from different occupational sectors, including managers, engineers and health-care professionals, was used for the present study. The data were collected from various government and private organizations in North India. The questionnaire survey was administered in three phases. During the first phase, 800 questionnaires were circulated, followed by 1,200 questionnaires in the second phase, and the third phase involves 900 questionnaires. The data were analysed using exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

The results indicate nine dimensions, namely, occupational identification, occupational stigma consciousness, gender identification, gender stigma consciousness, religion identification, religion stigma consciousness, caste identification, caste stigma consciousness and negative effect of stereotype threat. The study ensures the reliability and validity of the stereotype threat scale. The measure also fulfils the assumptions of nomological validity.

To the best of the authors’ knowledge, the study is the first of its kind to develop and validate the stereotype threat scale adhering to scale development procedures.

Gloria Pritchett – the fiery and caring Latina mother in Modern Family – is believed to recreate cultural and gender stereotypes. This audience study was interested in situating her as an intersectional representation to recognize that numerous social categories coproduce her characterization not just one. Textual analyses of open-ended questions reveal that participants tend to explicitly and exclusively discuss her stereotypes in ethnic and gender terms, with an emphasis on the former. However, a semantic analysis of the words/adjectives used to describe Gloria Pritchett suggested these share meaning across multiple social categories. Some aspects of her representation, like those based on ethnicity and gender (her Latina wisdom) or ethnicity and social class (her social mobility from Colombia to the United States), were found commendable, respectable, and likable. Eventually, the social identities encompassing Gloria Pritchett are taken apart and compounded, which in turn, suggest that her intersectionality was malleable for viewers.

This chapter focuses on the implications of both the descriptive and prescriptive aspects of gender stereotypes for women in the workplace. Using the Lack of Fit model, we review how performance expectations deriving from descriptive gender stereotypes (i.e., what women are like) can impede women's career progress. We then identify organizational conditions that may weaken the influence of these expectations. In addition, we discuss how prescriptive gender stereotypes (i.e., what women should be like) promote sex bias by creating norms that, when not followed, induce disapproval and social penalties for women. We then review recent research exploring the conditions under which women experience penalties for direct, or inferred, prescriptive norm violations.

Purpose – This study examines the relationship between endorsement of positive stereotypes of women and support for women's rights to shed light on the role that endorsement of positive stereotypes may play in maintaining social stratification.

Design/methodology/approach – The study uses data collected from a web-based survey of 181 male undergraduate students in six different universities and colleges to examine the relationship between the endorsement of positive stereotypes of women and support for women's rights. The paper examines four ordinary least squares (OLS) regression models to determine the relationship and utilizes the statistical software Stata 9.2.

Findings – Rather than a simple direct relationship, the findings suggest that the relationship between the endorsement of positive stereotypes and support for women's rights varies based on the level of hostile sexism. Increased endorsement of positive stereotypes of women was associated with decreased support for women's rights among males with the lowest level of hostile sexism, but the opposite relationship was found for males at the mean and the highest level of hostile sexism.

Research limitations/implications – The findings suggest that endorsement of positive stereotypes plays a unique role for males who do not endorse traditional sexist attitudes. Although data are not available to clarify what processes might be undergirding the relationship, the author suggests directions for future research.

Practical implications – Given the relationship found, prejudice reduction interventions that rely on the promotion of positive stereotypes of various social groups should be closely examined to determine if they actually foster attitudes that are detrimental for the eradication of social stratification.

Originality/value – This study is one of the first to examine the possible negative impacts of endorsement of positive stereotypes of women on gender stratification through a moderated relationship with levels of hostile sexism.

This chapter investigates the effects of gender stereotypes on expectations about expertise and task assignments. We present a theoretical model that predicts and explains the pervasive and self-reinforcing effects of gender-based stereotypes on expected knowledge and task assignments in groups. In the model, stereotypes influence expertise recognition, which influences tasks assignments. Task assignments provide group members with task experience and expertise. Expertise influences expertise recognition, making the model cyclical. Expertise gained from task experience also affects stereotypes, creating a cycle that reinforces stereotypes. We describe findings from a program of research designed to examine ways of breaking this self-reinforcing cycle, which investigates the effectiveness of various types of expertise claims made by people with expertise, that is inconsistent with stereotypical expectations. We consider the implications of our theory and data for effects of status on evaluation of expertise claims in work groups.