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This paper aims to compare the prevalence of metabolic syndrome (MetS) on the basis of three criteria. The diagnostic criteria adopted were those of the International Diabetes Federation, the National Cholesterol Education Program – Adult Treatment Panel III and the American Heart Association/National Heart, Lung and Blood Institute..

A transversal study was undertaken with 691 university students in Fortaleza, Brazil, in 2011-2013.

The prevalence of MetS varied considerably according to the criteria used, it being 4.1 per cent for the IDF, 0.7 per cent for the NCEP ATPIII and 1.7 per cent for the revised NCEP ATPIII. The criteria of the IDF presented reasonable agreement in relation to the NCEP ATP III (0.294) and revised NCEP ATP III (0.334). Moderate agreement was found between the NCEP ATPIII/revised NCEP ATPIII.

There is a need for a universal diagnostic criterion for MetS to obtain uniform and more reliable data for the elaboration of public health policies.

This chapter describes a theory of intergroup leadership. Research on reducing prejudice and intergroup conflict identifies a number of conditions, such as empathy, shared goals, crossed categorization, recategorization, and intergroup contact, which can be beneficial. It also identifies social identity threat as a stumbling block – processes intended to reduce conflict often threaten people’s sense of having a unique and distinctive social identity and thus provoke a defensive reaction that sustains conflict. But social psychology says little about the role of group leadership in conflict resolution.

I summarize what we know from social psychology about conditions that attenuate intergroup conflict; then focus on social identity and influence processes to present a new theory of leadership across conflicting groups.

Prejudice and intergroup conflict reduction rests on effective messaging and influence, which is often a matter of intergroup leadership where a leader must bridge and integrate warring factions within a superordinate entity. The challenge of intergroup leadership is to construct an intergroup relational identity that focuses on collaboration and avoids identity threat. I describe a model of intergroup leadership and discuss strategies, such as identity rhetoric, boundary spanning and leadership coalition-building, that such leadership should adopt to effectively reconstruct social identity to reduce conflict and prejudice between groups.

This is a development and extension of a more narrowly focused theory of intergroup leadership in organizational contexts. It will be of value to social psychology, the behavioral and social sciences, and those seeking to reduce prejudice and intergroup conflict through leadership.

Data science lacks a distinctive identity and a theory-informed approach, both for its own sake and to properly be applied conjointly to the social sciences. This paper’s purposes are twofold: to provide (1) data science an illustration of theory adoption, able to address explanation and support prediction/prescription capacities and (2) a rationale for identification of the key phenomena and properties of data science so that the data speak through a contextual understanding of reality, broader than has been usual.

A literature review and a derived conceptual research model for a push–pull approach (adapted for a data science study in the management field) are presented. A real location–allocation problem is solved through a specific algorithm and explained in the light of the adapted push–pull theory, serving as an instance for a data science theory-informed application in the management field.

This study advances knowledge on the definition of data science key phenomena as not just pure “data”, but interrelated data and datasets properties, as well as on the specific adaptation of the push-pull theory through its definition, dimensionality and interaction model, also illustrating how to apply the theory in a data science theory-informed research. The proposed model contributes to the theoretical strengthening of data science, still an incipient area, and the solution of the location-allocation problem suggests the applicability of the proposed approach to broad data science problems, alleviating the criticism on the lack of explanation and the focus on pattern recognition in data science practice and research.

The proposed algorithm requires the previous definition of a perimeter of interest. This aspect should be characterised as an antecedent to the model, which is a strong assumption. As for prescription, in this specific case, one has to take complementary actions, since theory, model and algorithm are not detached from in loco visits, market research or interviews with potential stakeholders.

This study offers a conceptual model for practical location–allocation problem analyses, based on the push–pull theoretical components. So, it suggests a proper definition for each component (the object, the perspective, the forces, its degrees and the nature of the movement). The proposed model has also an algorithm for computational implementation, which visually describes and explains components interaction, allowing further simulation (estimated forces degrees) for prediction.

First, this study identifies an overlap of push–pull theoretical approaches, which suggests theory adoption eventually as mere common sense, weakening further theoretical development. Second, this study elaborates a definition for the push–pull theory, a dimensionality and a relationship between its components. Third, a typical location–allocation problem is analysed in the light of the refactored theory, showing its adequacy for that class of problems. And fourth, this study suggests that the essence of a data science should be the study of contextual relationships among data, and that the context should be provided by the spatial, temporal, political, economic and social analytical interests.

Supported by the omnichannel strategy, the objective of this study is to identify the influence of integrated interaction quality and perceived fluency of service channels on attitudinal loyalty in the banking sector and to test the mediating effect of positive affect in these relationships.

This paper proposes a model that relates the constructs of integrated interaction quality, perceived fluency, positive affect, and attitudinal loyalty. A survey of 337 Brazilian bank clients was conducted and structural equation modeling was used for data analysis.

The results indicate that the construct of integrated interaction quality exerts positive influence on the loyalty of bank clients. The direct effect of the construct perceived fluency on loyalty is not significant. The results also demonstrate that positive affect exerts a mediating effect on the proposed relationships between the constructs.

This research assists banks in identifying relevant points regarding their service channels, so that they can determine how to generate positive experiences and customer loyalty through an omnichannel strategy. One can observe the behavior of banking consumers and develop business strategies based on the service channels, which aim to create a more profitable and loyal customer portfolio.

This study expands the literature regarding the omnichannel strategy by extending focus to include bank marketing, which is infrequently included in the body of such literature. This study also expands bank marketing research by including constructs that deal with consumer experience and loyalty.

The purpose of this paper is to analyse empirically the racial relations of segregation of the black population in the city of Salvador, Brazil, which built according to a subtle model of the construction of differentiated spaces for the white population and the black population in the city.

The methodology used for the construction of this manuscript was that of the action research, through the insertion of the researcher within the field of study, obtaining observational perceptions of the inhabited place and collecting reports of the research subjects inserted in the field of study.

The present research obtained as final results the explicit characterisation of a veiled and subtle model of racial segregation imposed on the black population of the city of Salvador, manifesting the clear prejudice of the white population and also a state racism directed to the oppressed black population.

The originality of the research consists in the fact that there is no research modality within Brazil for the analysis of historical apartheid policies. The Brazilian state, in this sense, appears within the current framework of academic research as a clear incentive and propagator of governmental actions that corroborate the maintenance of the exclusionary city system, which separates the black and white population in differentiated social spaces.

This empirical research draws on the existing theory of transformational leadership, adaptive culture and organizational resilience, and investigates the effect of the elected TQM leadership style “transformational leadership” through the mediating effect of adaptive culture on organizational resilience, that is the key of survival during crises like the recent COVID-19 pandemic, which has severely impacted the business globally.

This study exploited a cross-sectional online questionnaire of a random sample of Dubai service firms, with the unit of analysis being at the firm level. In total, 379 usable responses were received. Regression analysis was conducted to test hypotheses.

The overall findings of this study supported that transformational leadership is positively associated with both adaptive culture and firm's resilience and significantly impacts them. Adaptive culture was found partially mediating the effect of transformational leadership on organizational resilience.

The research findings provide important insights to practitioners (managers and leaders) to better improve their transformational qualities, as these qualities are expected to improve the organizational adaptive cultures and capacity of resilience.

To the best of the authors' knowledge, this is one of the first studies to examine the transformational leadership effect on organizational adaptive culture and firm's resilience. This investigation expands the boundaries of leadership style theory into new arenas, attempting to partially address the identified knowledge gap in this vein.

The sexual division of labor remains a strong, discriminatory aspect of Brazilian society, with a high percentage of women engaged in precarious, caregiving, and service work that is devalued within the traditional patriarchal family and school socialization. This chapter relates and analyzes the development of a multidisciplinary, intersectional, and interinstitutional project, Fast Girls, which addresses this situation of inequality and exclusion by promoting and strengthening learning in STEM and psychosocial dimensions for adolescent female students. It is currently deployed in three public schools on the outskirts of Brazil’s capital, Brasilia, but the focus here will be on the pioneering initiative, in one high school which has reached 150 participants since 2013. This project was conducted by professors and researchers from the engineering, social sciences, and humanities departments of the University of Brasilia (UnB) in Brazil and France’s Sorbonne Paris North University who are the authors of this autoethnography, which is based on interventions, interviews, and field observations. Principle academic results included articles, dissertations, and expositions at related national and international events characterized by the integration of various scientific fields. The intervention prepared participants for college attendance who was both unprecedented in their families and contributed to their occupying a social and subjective place quite different from the majority of youths in black and poor communities around the capitals of Brazil.

This study aims to measure the degree of innovation of micro and small industrial companies in the West and Southwest metropolitan regions of the city of São Paulo, through a survey with 203 firms in the metallurgy sector.

The research had a quantitative and descriptive focus and used as methodology the validated and international approach known as Innovation Radar.

The degree of innovation in these micro and small companies is low; thus, the authors could not characterize them as systemic innovators. Most of them are little innovative, although some were classified as occasional innovators. The dimensions organization, processes, presence, supply chain and added value were the least developed.

To carry out similar studies in other Brazilian regions, to compare results and draw new conclusions, or even check if the degree of innovation present in micro-firms of these regions would not be even lower; to monitor the evolution of companies through a longitudinal study, to detect improvements in the degree of innovation; and to conduct a qualitative research that can deepen questions on the results of our study, such as the reasons why this type of company does not adopt innovative practices, or even the real suitability of the Innovation Radar model for micro and small enterprises (MSEs). We observed that some dimensions proved to be too sophisticated for these companies, such as R&D investments and the adoption of technological advances.

The study shows that the degree of innovation measured by the Innovation Radar is a useful and initial measure to check an innovative attitude in micro and small companies. It can also drive the actions that should be prioritized to stimulate the culture of innovation in SME. However, it does not allow to answer why this type of organization does not adopt innovative practices as a management attitude. Regarding its contribution, the authors expect that the paper may bring an awareness of managers and owners of micro and small companies for the need to foster innovative practices that can help increase the competitiveness and survival of this type of organization.

In Brazil, despite the fact that MSEs represent 98 per cent of the existing companies, and are mainly responsible for job creation, their leaders have a low concern for innovative practices.

The study contributes to identify the degree of innovation of these firms, which comprise a representative and strategic segment of the city’s economy, by checking to what extent an innovative attitude is effectively present in this sector. The theoretical contribution of this study regards the appropriateness of mechanisms or methodologies created to measure the degree of innovation in large organizations. Dimensions such as technological platform, brand, innovative ambience, degree of organization or systematization of processes, which are frequently considered for companies in general, and especially for large ones, are not sufficient or, instead, too sophisticated to allow an effective measurement of the degree of innovation in MSE. Thus, this study provides information for designing more effective ways to evaluate the degree of innovation that take into account MSE’s specificities, which can be considered innovation efforts, such as simple process improvements, professional development of teams, and actions to seize ideas and opportunities, among others.