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Explores the appropriateness of quantifying focus group discussions. Basic problems involved in quantification of text are addressed. Prior approaches are discussed and briefly evaluated. A new neural network algorithm for analyzing excerpts from in‐depth interviews is presented. Keywords (brand names, values, etc.) are identified by the analyst. The entire text is scanned and a “covariance” matrix with weights expressing pairwise associations between words is established. This matrix can be used as input data set for advanced statistical analysis. The small illustrative study involves a focus group dealing with a holiday cruise. Results are inspected using multivariate analysis. Findings seem to make good sense. It is doubtful, though, that quantitative techniques will replace well‐established qualitative approaches. On the contrary, quantitative methods for textual analysis may supplement and improve insight gained from qualitative scrutiny. Recommendations for future research are discussed.

The purpose of this paper is to determine the impact that chief marketing executives’ (CMEs) mindsets about important marketing capabilities have on company performance.

The authors propose a structural model for analysing specialised, cross-functional and dynamic capabilities at the functional level of marketing. The model is tested by using a quantitative survey among CMEs. Additionally the authors conducted a cluster analysis with the purpose of identifying differences in CMEs’ mindsets about important marketing capabilities and the impact of these differences on company performance.

The study identified four categories of mindset about important capabilities. An investigation into the company performance profile of each mindset shows that integration and rejuvenation are central qualities of CMEs’ mindsets and important drivers for company performance. Hence, companies that have a CME who prioritises both brand management, product development and customer relationship management as well as a set of specialised and dynamic marketing capabilities will outperform companies that have a CME who focuses on only one area of cross-functional marketing capabilities.

Top managers, including CMEs, can use the typology of mindsets to analyse and critically reflect on their own ideas about important marketing processes and capabilities, but also as a tool for initialising change processes in their business unit or particular function (general management or marketing).

The study provides an original assessment of sets of marketing capabilities at the functional level of marketing, and of the link between dynamic and two cross-functional marketing capabilities (product development and customer relationship management).

Criminological, historical, and sociological research has continually underestimated women’s violent potential in the German Neo-Nazism movement. Contemplating this leads to questions about female agency in the Third Reich, a link that has not been established yet. This chapter seeks to expose this link, arguing that regardless of social environment, changing gender roles or political situation, Neo-Nazi women and women, in general, have a potential for violence in the public sphere.

The chapter looks at female perpetrators in both the Third Reich and the contemporary Neo-Nazi period and examines their involvement from the overarching theoretical viewpoint that women are not any less capable of violent crimes than men.

The scope of Neo-Nazi women’s aggression and violence is not a modern phenomenon or an exception. Their invisibility is not a result of their suggested passive involvement; it stems from the public’s and institutions’ inability to perceive them as agents of violence. Bourdieu developed the concept of symbolic violence to characterize the violence experienced by victims who accept their societal subordination. It is shown that because researchers, officials, and the public reified the concept; they overlooked the reality that women can exercise their agency beyond the limits of their roles as wife and mother and commit violent acts.

Reliable data are not available on the number of violent female Neo-Nazis. It is likely, however, that the numbers given are an underestimation.

Law enforcement agencies have long overlooked women as potential offenders. A basic change in perspective is needed to better identify female perpetrators.

The chapter is based on the murders of ten immigrants between 2000 and 2006, which puzzled investigators over a decade. Nobody suspected a woman was a key member of the group thought to be responsible for these murders.

Purpose: Fear of deportation and its relationship to healthcare access has been less studied among immigrant Latinx men who have sex with men (MSM), a population at risk for HIV and characterized by their multiple minority statuses. The first step is to accurately measure their fear of deportation.

Approach: We used an exploratory sequential mixed methods design. Eligibility criteria were that research participants be ages 18–34 years; Latinx; cisgender male; having had sex with another male; residing in the District of Columbia metro area; and not a US citizen or legal permanent resident. In Study 1, we used in-depth interviews and thematic analysis. Using participants' interview responses, we inductively generated 15 items for a fear of deportation scale. In Study 2, we used survey data to assess the scale's psychometric properties. We conducted independent samples t-test on the associations between scale scores and barriers to healthcare access.

Findings: For the 20 participants in Study 1, fear of deportation resulted in chronic anxiety. Participants managed their fear through vigilance, and behaviors restricting their movement and social network engagement. In Study 2, we used data from 86 mostly undocumented participants. The scale was internally consistent (α = 0.89) and had a single factor. Those with higher fear of deportation scores were significantly more likely to report avoiding healthcare because they were worried about their immigration status (p = 0.007).

Originality: We described how fear of deportation limits healthcare access for immigrant Latinx MSM.

Research implications: Future research should examine fear of deportation and HIV risk among immigrant Latinx MSM.

A growing body of research has suggested that the fallout of the Covid-19 pandemic has disproportionately impacted vulnerable groups such as working women, parents and older adults. Accordingly, and via the lens of social role and identity theories on gender and age at work, the authors examined the intersection of age, gender and potential caregiving responsibilities on worker well-being, work-family conflict and performance while working remotely during the Covid-19 pandemic.

In all, 1,174 Turkish job incumbents working from home either full- or part-time responded to a survey measuring self-reported anxiety, depression, stress, work-to-family conflict, family-to-work conflict and performance in the summer of 2020.

Despite using Bayesian modeling, good sample variability on age, gender and caregiving responsibilities, data collection timing allowing for the maximization of variance in individual attitudes toward working from home during the pandemic, outcome measures that evidenced excellent reliability and reasonably good data fit, and the inclusion of appropriate covariates and stringent robustness tests, hypothesized effects were overall found to be null.

The authors suggest that if remote work helps level the playing field, then that is impetus for organizations to further transition into such work arrangements.

The authors speculate on these counterintuitive results and suggest implications for future research and practice on the confluence of remote work and workplace diversity, including the potential benefits of remote work for women and older adults, the role of cultural values and the use of Bayesian methods to infer support for the null.

A consensus in the literature is that anti-gay prejudice has a negative impact on HIV programming for men who have sex with men (MSM). This paper aims to analyse the prevalence and predictors of anti-gay prejudice in Barbados, an island in the Caribbean, and possible impacts on the full recognition of the right to health care.

The study used nationally representative data obtained from the Caribbean Development Research Services capturing anti-gay prejudice in Barbados in 2004, 2013 and 2019. The data were analysed using logit models and ordinary least squares regression.

The share of persons who expressed feelings of hatred towards gays and lesbians did not change significantly over the period. Social distance attitudes improved between 2004 and 2013 but have not changed since. Men generally expressed more prejudice than women and male sexual prejudice could be localised to three groups – men without tertiary education, men under 51 and members of non-Christian religions. Meanwhile, there was little consistency in the predictors of women’s attitudes over the period.

This study provides insights into the trends in attitudes towards sexual minorities in a developing country. The main conclusion is that although health care is provided as a universal right to all Barbadians, a strictly medical approach to HIV prevention among MSM in countries with high levels of anti-gay prejudice is insufficient.

Monitoring and diagnosis of fault cases for squirrel cage induction motors can be implemented using the multiple coupled circuit model. However, the identification of the associated model parameters for a specific machine is problematic. Up to now, the main options are measurement and test procedures or the use of finite element method analyses. However, these approaches are very costly and not suitable for use in an industrial application. The purpose of this paper is a practical parameter identification based on optimization methods and a comparison of different algorithms for this task.

Population-based metaheuristics are used to determine the parameters for the multiple coupled circuit model. For this purpose, a search space for the required parameters is defined without an elaborate analytical approach. Subsequently, a genetic algorithm, the differential evolution algorithm and particle swarm optimization are tested and compared. The algorithms use the weighted mean squared error (MSE) between the real measured data of stator currents as well as speed and the simulation results of the model as a fitness function.

The results of the parameter identification show that the applied methodology generally works and all three optimization algorithms fulfill the task. The differential evolution algorithm performs best, with a weighted MSE of 2.62, the lowest error after 1,000 simulations. In addition, this algorithm achieves the lowest overall error of all algorithms after only 740 simulations. The determined parameters do not completely match the parameters of the real machine, but still result in a very good reproduction of the dynamic behavior of the induction motor with squirrel cage.

The value of the presented method lies in the application of condition-based maintenance of electric drives in the industry, which is performed based on the multiple coupled circuit model. With a parameterized model, various healthy as well as faulty states can be calculated and thus, in the future, monitoring and diagnosis of faults of the respective motor can be performed. Essential for this, however, are the parameters adapted to the respective machine. With the described method, an automated parameter identification can be realized without great effort as a basis for an intelligent and condition-oriented maintenance.