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Despite the absence of federal legislation prohibiting discrimination on the basis of gender identity and expression, many companies have adopted such policies in recent years. We examine the impact of several contextual factors thought to influence gender identity and expression nondiscrimination policy adoption among Fortune 500 firms from 1997 to 2007. Our findings suggest that city and state laws likely influence policy adoption, as do federal case rulings regarding gender nonconformity and the adoption of similar policies by companies in the same industry. We found little evidence that companies respond to state or city executive orders or to media coverage of gender identity issues in the workplace.

Borrowing from the literature on social cognition and schema theory, the purpose of this paper is to examine sexual orientation and sex discrimination, to critique and refine that doctrine, particularly when traditional gender roles are enforced in workplaces. The insights of cognitive schemas on lesbian and gay identity are employed to link models of judicial decision making and gender/sexual orientation.

Methodologically, the paper is located in the sociolegal tradition, but also uses case analysis to supplement and advance its thesis. Because US nondiscrimination law distinguishes between sexuality and gender discrimination, it provides a unique laboratory to critique not only American law, but the structure of nondiscrimination law generally.

Judges' and others' schemas of lesbian and gay men suggest explanations for the analytical confusion in nondiscrimination law. Additionally, the paper's specific findings both supplement and question aspects of extant models of judicial decision making and gender/sexuality.

Social cognition framework enables judges and commentators to reconceptualize facts and relevant doctrine in gender and sexual orientation discrimination cases and to critique some fundamental assumptions of nondiscrimination law. Further, because the paper bridges judicial decision making and gender/sexuality, researchers in those areas can use this analysis of a specific legal context to provide additional insights into how those models work and their underlying, hidden assumptions. This is a conference paper based on this author's work on schema theory and sexual orientation identity in nondiscrimination law.

As coronavirus disease 2019 (COVID-19) spreads globally, the economic and health consequences are disproportionately affecting marginalized workers. However, countries' existing labor and social security laws often exclude the most vulnerable workers from coverage, exacerbating existing inequalities. Guaranteeing the rights to adequate income even when ill, decent working conditions and nondiscrimination in constitutions may provide a foundation for protecting rights universally, safeguarding against counterproductive austerity measures, and providing a normative foundation for equality and inclusion as economies recover. The purpose of this article is to examine the prevalence of these rights globally and assess some of their early impacts amid the pandemic.

The authors created and analyzed a database of constitutional rights for all 193 United Nations member states. All constitutions were double coded by an international multidisciplinary, multilingual team of researchers.

This study finds that 54% of countries take some approach to guaranteeing income security in their constitutions, including 23% that guarantee income security during illness. Thirty-one percent guarantee the right to safe working conditions. Only 36% of constitutions explicitly guarantee at least some aspect of nondiscrimination at work. With respect to equal rights broadly, constitutional protections are most common on the basis of sex (85%), followed by religion (78%), race/ethnicity (76%), socioeconomic status (59%), disability (27%), citizenship (22%), sexual orientation (5%) and gender identity (3%). Across almost all areas, protections for rights are far more common in constitutions adopted more recently.

This is the first study to systematically examine protections for income security and decent work, together with nondiscrimination, in the constitutions of all 193 UN member states.

Purpose: Sexual minority youth are more likely than their heterosexual peers to consider and attempt suicide, in part due to victimization experienced within schools. While existing research suggests that rates of school victimization and suicidality among sexual minority students vary by school and community context, less is known about variation in these experiences at the state level.

Methodology: Using data from a large, representative sample of sexual minority and heterosexual youth (2017 Youth Risk Behavior States Data, n = 64,746 high school students in 22 states), multilevel models examine whether differences between sexual minority and heterosexual students in victimization and suicide risk vary by state-level policies.

Findings: Results suggest that disparities between sexual minority and heterosexual boys in bullying, suicide ideation, and suicide attempt are consistently smaller in states with high levels of overall policy support for LGBTQ equality and nondiscrimination in education laws. Sexual minority girls are more likely than heterosexual girls to be electronically bullied, particularly in states with lower levels of LGBTQ equality. Disparities between sexual minority and heterosexual girls in suicide ideation are lowest in high equality states, but state policies are not significantly associated with disparities in suicide attempt among girls.

Value: Overall, findings suggest that state-level policies supporting LGBTQ equality are associated with a reduced risk of suicide among sexual minority youth. This study speaks to the role of structural stigma in shaping exposure to minority stress and its consequences for sexual minority youth's well-being.

Colleges and universities in the United States are common sites of social movement activism, yet we know little about the conditions under which campus-based movements are likely to meet with success or failure. In this study, I develop the concept of educational opportunity structures, and I highlight several dimensions of colleges and universities' educational opportunity structures – specifically, schools' statuses as public or private, secular or religious, highly or lowly ranked, and more or less wealthy – that can affect the outcomes of campus-based movements. Analyzing a religious freedom movement at Vanderbilt University, which mobilized from 2010 to 2012 to demand the ability of religious student organizations to discriminate on the basis of sexual orientation and religious belief, I argue that Vanderbilt's status as a private, secular, elite, and wealthy university ensured that conservative Christian activism at that school was highly unlikely to succeed. The findings hold important theoretical implications for the burgeoning literature on student activism.

Systematic oppression and marginalization of queer (sometimes also referred to as LGBTQ) people has affected all aspects of U.S. society, including education at all levels. Despite the heavy policing of queer sexuality and gender both inside and outside higher education, these aspects of identity have been overlooked in educational policy. This paper discusses federal educational policy that affects queer students, faculty, and staff in higher education.

Discussion in this paper is informed by three guiding tenets: sexuality is both central and marginal to queer identities; trans* identities are both inclusive of and beyond those who are in the process of confirming their gender identity through hormones and/or surgery; discussion of educational policy must acknowledge queer theory’s utility and nonutility.

The status of queer people in colleges and universities is reviewed first. Then, challenges of developing policy to address queer issues are acknowledged, while also illustrating recent policy changes and judicial rulings that have positive implications for queer people in higher education.

The paper concludes by identifying remaining gaps and recommendations for future policy development, including the need for federal nondiscrimination laws that cover sexual and gender minorities and restructuring policies for queer inclusion.

Institutional rules and economies of scale can create incentives for firms to make inframarginal decisions when offering fringe benefits. We examine how such incentives might affect a firm's offer of health insurance.

We develop and estimate an empirical model of the firm's offer of health insurance that includes incentives created by rules and economies of scale. We quantify the behavioral manifestations from rules and costs as recruiting difficulty in areas outside those in which compensation is set and the percentage of high-skilled jobs in the firm and use the California Health and Employment Surveys (CHES) to estimate the model.

We show a 10–13 percentage point increase in the probability of a firm offering workers health insurance in jobs outside of those in which compensation is being set, if the recruiting difficulty lies in mid- or high-skilled positions. This increase is about twice the size of the increase associated with recruiting difficulty in the position in which compensation is negotiated.

A failure to control for the influence of inframarginal decision making when estimating the wage-insurance tradeoff helps produce wrong-signed estimates.

By bringing institutional rules and economies of scale into the framework of a firm's offer of fringe benefits, we help move the focus of the fringe benefit-wage tradeoff away from the individual level.

This study aims to identify and explore experiences, perspectives, barriers and enablers to women’s career progression to management positions in the health-care sector and to assess women’s and men’s perceptions of the policies and practices of the health-care system concerning gender equality and nondiscrimination between women and men.

A cross-sectional survey was conducted among health-care professionals in ten selected hospitals, including physicians, registered nurses/midwives and pharmacists with or without managerial positions.

This study included a total of 2,082 female and 1,100 male health-care professionals. Overall, 70% of women and men reported that opportunities for advancement are based on knowledge and skills in their institution. However, 58.9% of women (p < 0.001) reported that women are more likely to face barriers to career advancement than men do in their workplace. Lack of women in general/line management and discrimination against women by supervisors at the point of promotion were the main barriers to women's career progression, as they were reported by two-thirds of women. The main barrier, as perceived by men (62.3%) was that women have family and domestic responsibilities.

To overcome barriers in women's career progression, there is a need to establish a career planning and capacity-building program for women in the health sector.

Jordanian female health-care professionals face different barriers that affect their career progression, including inequity and discrimination in the workplace, negative views about women’s abilities, lack of qualifications and training, hostile cultural beliefs and family responsibilities.

Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.

The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.

Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.

The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.

La Inteligencia Artificial (IA) ofrece muchos beneficios para mejorar la práctica del marketing predictivo. Sin embargo, plantea preocupaciones éticas relacionadas con la priorización de clientes, la concentración de cuota de mercado y la manipulación del consumidor. Este artículo explora estas preocupaciones éticas desde una perspectiva contemporánea, basándose en las experiencias y perspectivas de profesionales en IA y marketing predictivo. El estudio tiene como objetivo contribuir a la literatura de este ámbito al proporcionar una perspectiva moderna sobre las preocupaciones éticas del uso de la IA en el marketing predictivo, basándose en las experiencias y perspectivas de profesionales en el área.

Para realizar el estudio se realizaron entrevistas semiestructuradas durante seis semanas con 14 participantes con experiencia en sistemas habilitados para IA en marketing, utilizando técnicas de muestreo intencional y de bola de nieve. Se utilizó un análisis temático para explorar los temas que surgieron de los datos.

Los resultados revelan que el uso de la IA en marketing podría tener consecuencias no deseadas, como perpetuar sesgos existentes, violar la privacidad del cliente, limitar la competencia y manipular el comportamiento del consumidor.

El estudio identifica siete temas y los comparan con el modelo de Ashok para proporcionar una perspectiva estructurada para interpretar los resultados. El marco presentado por esta investigación es único y puede utilizarse para respaldar investigaciones éticas que abarquen aspectos sociales, tecnológicos y económicos dentro del ámbito del marketing predictivo.

人工智能（AI）为改进预测营销实践带来了诸多益处。然而, 这也引发了与客户优先级、市场份额集中和消费者操纵等伦理问题相关的观点。本文从当代角度深入探讨了这些伦理观点, 充分借鉴了人工智能和预测营销领域专业人士的经验和观点。旨在通过现代视角提供关于在预测营销中应用人工智能时所涉及的伦理观点, 为该领域做出有益贡献。

本研究采用了目的性和雪球抽样技术, 与14位在人工智能营销系统领域具有丰富经验的参与者进行为期六周的半结构化访谈。研究采用主题分析方法, 旨在深入挖掘数据中显现的主要主题。

研究结果表明, 在营销领域使用人工智能可能引发一系列意外后果, 包括但不限于加强现有偏见、侵犯客户隐私、限制竞争以及操纵消费者行为。

本研究通过明确定义七个独特的主题, 并采用阿肖克模型进行基准比较, 为读者提供了一个结构化的视角, 以解释研究结果。所提出的框架具有独特之处, 可有效支持在跨足社会、技术和经济领域的预测营销中展开的伦理研究。

This chapter revisits and extends the multiple-source, multiple-object theory of legitimacy in organizations. It introduces the idea of legitimized regimes and uses it to extend the theory’s range beyond the usual focus on power and domination. The theory describes mechanisms that: (1) establish the legitimacy of new or contested regimes; and (2) facilitate the spread of legitimacy to structures and processes that lie outside organizational boundaries. The chapter uses current affirmative action debates to illustrate the mechanisms under study. The work concludes with a summary that includes discussion of prospects for research on extensions of the multiple-source, multiple-object theory.