Explore the vast range of titles available.

PurposeThe purpose of this paper is to identify under what circumstances advisor gender and advice justification influence advice taking by managers.Design/methodology/approachThe authors designed a quasirational managerial decision experiment with both analytic and intuitive cues. The design was a 2 × 2 between-subjects factorial, in which gender (male/female) and advice justification (intuitive/analytic) were crossed. The experiment involved two independent samples, taken from Amazon Mechanical Turk workers and Brazilian professionals.FindingsResults suggest that, in general, analytic justification is more valued than intuitive justification. The findings also infer that depending on the advisees’ sample and providing that advice justification is analytic, quasirational scenarios seem to favor male advisors (MTurk sample) or both male and female advisors with “male values” (professional sample), as analysis is traditionally considered a “male value.”Practical implicationsAnalytic justification will likely lead to more advice utilization in quasirational managerial situations, as it may act as a safeguard for the accuracy of the offered advice.Social implicationsThe results might signal an ongoing, but slow, process leading to the mitigation of gender stereotypes, considering that the male gender stereotype was active in the MTurk sample, but not in the professional one.Originality/valueThis study contributes to the advice-taking research field by showing the interplay between advisor gender and advice justification in a quasirational managerial decision setting with both analytic and intuitive cues. In advice-taking literature, observations are usually collected from students. However, as this study focused on managerial decisions, the authors collected independent samples from MTurk workers and Brazilian professionals.

This report aims to show how macroeconomic policies create differential opportunities for women and men. This volume comprises nine chapters covering four broad themes: gender as a category of analysis in macroeconomics; the implications of gender for macroeconomic aggregates, in particular consumption and economic growth; the role of gender in the labor market, globalization, and access to credit; and gender budgeting. Chapters one and two address the first theme. Chapter one focuses on the macroeconomic cost to growth and development that arises from rigid gender roles and associated gender asymmetries. Chapter two documents the progress made in gender mainstreaming by highlighting developments in data collection and monitoring that have moved beyond simply disaggregating data by male and female. Chapters three and four cover the second theme. Chapter three considers the role of gender relations in the macroeconomic aggregates of consumption, savings, investment, and government expenditure and the implications for macroeconomic policy in these areas. Chapter four examines gender relations and economic growth. Chapters five through seven focus on the third theme. Chapter five examines the labor market. Chapter six examines how globalization affects gender relations, particularly employment. Chapter seven concentrates on women's access to finance and documents gender asymmetries in this market. Chapter eight, on the fourth theme, highlights the impact fiscal policies have on gender relations. It documents how policy can be made more gender specific and reports on the progress made by countries that have adopted gender-responsive government budgeting. Chapter nine summarizes what is known about gender and macroeconomic policy, noting areas in which the literature is well developed as well as areas that require further research and study.

Purpose Considering the increasing impact of Artificial Intelligence (AI) on financial technology (FinTech), the purpose of this paper is to propose a research framework to better understand robo-advisor adoption by a wide range of potential customers. It also predicts that personal and sociodemographic variables (familiarity with robots, age, gender and country) moderate the main relationships. Design/methodology/approach Data from a web survey of 765 North American, British and Portuguese potential users of robo-advisor services confirm the validity of the measurement scales and provide the input for structural equation modeling and multisample analyses of the hypotheses. Findings Consumers’ attitudes toward robo-advisors, together with mass media and interpersonal subjective norms, are found to be the key determinants of adoption. The influences of perceived usefulness and attitude are slightly higher for users with a higher level of familiarity with robots; in turn, subjective norms are significantly more relevant for users with a lower familiarity and for customers from Anglo-Saxon countries. Practical implications Banks and other firms in the finance industry should design robo-advisors to be used by a wide spectrum of consumers. Marketing tactics applied should consider the customer’s level of familiarity with robots. Originality/value This research identifies the key drivers of robo-advisor adoption and the moderating effect of personal and sociodemographic variables. It contributes to understanding consumers’ perceptions regarding the introduction of AI in FinTech.

Many studies have examined Americans' immigration attitudes. Yet prior research frequently confounds multiple questions, including which immigrants to admit and how many to admit. To isolate attitudes on the former question, we use a conjoint experiment that simultaneously tests the influence of nine immigrant attributes in generating support for admission. Drawing on a two-wave, population-based survey, we demonstrate that Americans view educated immigrants in high-status jobs favorably, whereas they view those who lack plans to work, entered without authorization, are Iraqi, or do not speak English unfavorably. Strikingly, Americans' preferences vary little with their own education, partisanship, labor market position, ethnocentrism, or other attributes. Beneath partisan divisions over immigration lies a broad consensus about who should be admitted to the country. The results are consistent with norms-based and sociotropic explanations of immigration attitudes. This consensus points to limits in both theories emphasizing economic and cultural threats, and sheds new light on an ongoing policy debate.

Increasing gender diversity in the boardroom has been promoted as a way to enhance corporate governance and risk management. This study empirically examines whether boards with more female directors play a role in reducing R&D risk. We first show that female directors help to reduce the positive relationship between R&D investment and future performance volatility. We then report that firms with more gender-diverse boards exhibit a lower adverse effect of R&D on the cost of debt. These results are robust to endogeneity analysis, alternative measures of gender diversity and risky investment, and other sensitivity tests. Overall, our results suggest that female directors improve board effectiveness in risk management with respect to R&D investment.

We examine whether an unsophisticated investor’s own gender interacts with gender of a sell-side equity analyst to affect the investor’s judgment. Prior research shows two potential sources of gender-based discrimination that affect female investors. First, female investors’ advisors offer less risky hence lower return portfolios to female investors than to male investors with similar risk preferences as female investors are perceived as more risk adverse. Second, female equity analysts are subject to greater barriers to enter and advance in investment firms that act as if they believe clients prefer male investment advisors in a male stereotypical occupation. Using two experiments, we use the judge-advisor framework to predict and find that investor’s gender and analyst’s gender jointly influence investor’s judgment. Specifically, female-female analyst-investor pair generates the strongest reaction to analyst’s advice compared to any other analyst-investor pair, everything else equal. Further, we find that efforts to highlight equal gender performance activates gender stereotypes that reduce female investors’ receptivity to female analysts’ advice. By linking the two previously different sources of discrimination we show that they reinforce each other and find that attempts to “level the playing field” by emphasizing gender performance parity may have unexpected results.

While much is known about how Black students negotiate and navigate undergraduate studies, there is a dearth of research on what happens when these students enter graduate school. This article presents the results of a study of 21 Black male graduate students in engineering from one highly ranked research-intensive institution. This article provides evidence of structurally racialized policies within the engineering college (e.g., admissions) and racialized and gendered interactions with peers and advisors that threaten Black males' persistence in engineering. We argue for taking an anti-deficit approach to understanding Black males' persistence in engineering. We conclude with implications for policy, practice, and research that could further improve the scholarship and experiences of Black males in engineering graduate programs.

With mental illness a growing concern within graduate education, data from a new survey should prompt both academia and policy makers to consider intervention strategies.

Global efforts to improve menstrual health and sexual and reproductive health and rights (SRHR) are fundamentally intertwined and share similar goals for improving health and well-being and increasing gender equality. Historically, however, the two fields have operated independently and missed opportunities to build upon their biological and sociocultural linkages. Biological touchpoints connecting the two fields include genital tract infections, menstrual disorders, contraception, and menopause. From a sociocultural perspective, intersections occur in relation to the experience of puberty and menarche, gender norms and equity, education, gender-based violence, and transactional sex. We describe evidence linking menstrual health and SRHR and offer recommendations for integration that could strengthen the impact of both fields.

Robo-advice technology refers to services offered by a virtual financial advisor based on artificial intelligence. Research on the application of robo-advice technology already highlights the potential benefit in terms of financial inclusion. We analyze the process for adopting robo-advice through the technology acceptance model (TAM), focusing on a highly educated sample and exploring generational and gender differences. We find no significant gender difference in the causality links with adoption, although some structural differences still arise between male and female groups. Further, we find evidence that generational cohorts affect the path to future adoption of robo-advice technology. Indeed, the ease of use is the factor which triggers the adoption by Generation Z and Generation Y, whereas the perceived usefulness of robo-advice technology is the key factor driving Generation X + , who need to understand the ultimate purpose of a robo-advice technology tool before adopting it. Overall, the above findings may reflect that, while gender differences are wiped out in a highly educated population, generation effects still matter in the adoption of a robo-advice technology tool.