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This study aims to explore the conditions of successful implementation of Quality 4.0 in higher education institutions (HEIs) and the key factors affecting it, as well as the role of the Triple Helix collaborative (THC) framework in enhancing the integration of Quality 4.0 principles and Industry 4.0 technologies.

A survey-based strategy was adopted, adopting questionnaires distributed amongst researchers chosen based on their publications related to the aforementioned fields.

The successful integration of disruptive technologies, Quality 4.0 and THC in HEIs heavily relies on educators' continuous learning and professional development. Faculty members must acquire digital skills and competencies to effectively adopt disruptive technologies and implement Quality 4.0 principles in their teaching practices. HEIs should provide opportunities for faculty members to engage in ongoing training programmes, workshops and communities of practice that focus on enhancing their technological proficiencies, pedagogical strategies and collaborative skills.

To the best of the authors' knowledge, this is the first reported study linking the concepts of Quality 4.0 and the Triple Helix of Innovation in HEIs.

This paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.

The authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.

Although the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.

There is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

This chapter explores how the capacity of different sectors of the government influences which topics are prioritized in the legislative agenda. We focus on the complex and challenging topic of agriculture and the environment in Brazil and analyze how it's framed in both the media and the legislature. Our analysis shows that, in normal circumstances, the governmental actors with the highest state capacity prevent threatening topics from entering the legislative agenda, biasing it toward the status quo. However, we find that the media can act as a tool for sectors with lower capacity to bring their priorities to the forefront and trigger a legislative response.

This paper seeks to investigate whether women exhibit greater risk-aversion behavior than men in investments by estimating the influence of gender on portfolio volatility.

Data on the volatility observed in the portfolio in the last six months, last twelve months and since the individual became a client at one of the largest financial institutions in Brazil – and in Latin America – that operates in the capital markets are used. In addition to the gender explanatory variable, socioeconomic variables such as age, marital status, suitability, residence in capitals and declared assets are controlled, and multiple linear regression models are controlled.

The results show that gender is statistically significant in all models estimated to explain the volatility of investment portfolios, saying that women are more risk averse than men.

These findings are useful for the scientific literature that investigates behavioral finance by bringing empirical evidence for Brazil.

This article examines strategic management research across Latin America from 1990 to 2023, addressing four critical inquiries: the themes prevalent in strategic discussions, the leading countries in strategic management (SM) publications, the defining characteristics of strategic research in major Latin American economies and the reflection on whether Latin America is a region that generates or follows the knowledge of the Global North.

Utilizing co-occurrence analysis, this study maps the terrain of SM research in the region, analyzing 4,963 articles indexed in the Scopus database. The authors employed a co-occurrence analysis to map SM research in Latin America, analyzing 4,963 articles from the Scopus database.

Predominant themes include the theoretical underpinnings of strategy, sustainable development, innovation, tourism and international trade. Brazil, Mexico, Colombia and Chile have emerged as leaders in research volume and thematic diversity, particularly in sustainable development and innovation.

By identifying patterns, behaviors and trends in SM research, the authors uncover methods and tools that, once contextualized for the region, can significantly enhance organizational performance.

This investigation is a pioneering effort, providing a focused analysis on SM research within Latin America. It highlights significant contributions since 1990 across the region's main economies. This study represents one of the first comprehensive mappings of this academic field within Latin America. This is the first article, to the authors’ knowledge, developed to map the intellectual structure of the SM field in Latin America through an analysis of co-occurrences, with emphasis on the region's main economies.

This study aims to examine the price and income elasticities of short- and long-run industrial electricity demand in Brazil between 2003 and 2020. The research also examines the impacts of COVID-19 in Brazil’s industrial electricity sector, including an analysis in states more and less industrialized.

Dynamic adjustments models in panel data are used to present robust estimates and analyze the impact of different methodologies on reported elasticities.

The short-run price elasticity is estimated at −0.448, while the long-run values are around −1.60. Regarding income elasticity, the value is 0.069 in the short-run and is concentrated in 0.25 in the long-run. The inelastic results of income show that the industrial demand for electric energy follows the trend of loss of competitiveness of the Brazilian industry in the past years. In addition, the price of natural gas, the level of employment, and, in specific cases, the level of imports also influence industrial electricity demand.

The research is a pioneer in the investigation of the industrial behavior of electricity of the Brazilian industrial branch, using as control variables, the average temperature, and the level of rainfall, this one, so important for a country whose main source is hydroelectric. In addition, to the best of the authors’ knowledge, it is the first study, which is prepared to analyze the effects of COVID-19 on electric consumption in the industrial sector, investigating these impacts, including in the states considered more and less industrialized. The estimates generated may help in the design of the Brazilian energy policy.

This research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market.

The methodology was quantitative and based on secondary data with samples of 124, 106 and 90 firms from competitive environment classified as perfect competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic algorithms.

Adjustments on firm's investment are contingent on the degree of competition they face. Results are in line with existing academic research affirmation that the purpose of investments is to create and exploit opportunities for positive economic rents and that investments allow firms to protect from rivals' competitive actions and reinforce the need for investment decision makers to consider the environment in which the firm is competing, when defining the amount of investment that must be done to achieve and maintain a favorable competitive advantage position.

This research brings two main original contributions. The first one is the identification of the optimal amount of capital and R&D investments which leads firms to their best competitive positions, contingent to the degree of concentration of the competitive environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to estimate optimization models that considers the three competitive environments studied (perfect competition, monopolistic competition and oligopoly) and the investment variables in the linear and quadratic forms.

The purpose of this study is to nutritionally evaluate dams exposed to caloric restriction or cafeteria diets during the lactation period.

Twenty-four female Wistar rats (n = 8/group) and their respective litters received during lactation: Control (CTRL) – received standard chow; Caloric restriction (CR) – received 50% of the ratio of the CTRL group; Cafeteria diet (CAF) – received cafeteria diet. Weighing of the mother rats and their respective litters occurred weekly and the diets were daily. At weaning, levels of glucose, total cholesterol, high-density lipoprotein, low-density lipoprotein (LDL) and triglycerides were evaluated. Abdominal adipose tissue was removed and weighed. Liver tissue was removed to determine the lipid profile.

CR dams showed lower food (p < 0.01), caloric (p < 0.01) and all macronutrients (p < 0.01) intake. This group also observed intense weight loss (p < 0.01), in addition to low litter weight (p < 0.01). CAF dams had higher caloric intake (p < 0.05) and increased consumption of lipids (p < 0.01). The CAF group also reported greater accumulation of abdominal adipose tissue (p = 0.01), elevated levels of LDL (p < 0.01) and hepatic lipids (p < 0.01), as well as a litter with higher weaning weight (p < 0.01).

Few studies have evaluated the effects of different models of malnutrition focusing on dams. CR dams showed severe weight loss, which may have caused their pups to be underweight. On the other hand, the CAF diet during lactation led to a higher consumption of lipids and accumulation of adipose tissue, which generated a high weight of the litter.

This article aims at presenting the concept of the Brazilian university’s third mission and its relevance for predicting teaching behavior. To that end, this article presents a conceptual model of that third mission in Brazil and how its relationship with stakeholders was built.

This is a conceptual article. The authors analyze the third mission and the Brazilian educational model to suggest predicting teaching behavior as a possibility to optimize the third mission in higher education institutions.

The Brazilian third mission is related to civilian participation, John Dewey’s democratic education management, Paulo Freire’s transformative education, Triple-Helix and the knowledge ecology. This association enables insight into the relevance of the third mission and into the need for professors’ participation.

Revealing the factors of behavior prediction to perform the third mission is the first mission of the theory of planned behavior. Based on these data, the theory suggests interventions without changing teaching behavior. This possibility might increase the adherence of the professor to activities related to the third mission.

This article contributes to studies on the development of the third mission and to the sharing of a conceptual model that is partially different from the European model, thus promoting broader results for stakeholders. The indications made here can lead to empirical studies to further approximate the higher education institutions and the various sectors of society. Moreover, there is room for investigations that aim at a conceptual convergence at the international level for the third mission, as it happens for teaching and researching.

This study aims to analyse the political connections of Portuguese companies through the members of the board of directors, exploring how these connections influence, in particular, the composition and characteristics of the boards.

The research used a strategy based on analysing the financial statements and curriculum vitae of the directors of Portuguese companies listed on Euronext Lisbon from 2014 to 2019. The political connections of board members were examined, considering the variables identified in the existing literature.

The results indicate that companies with political connections maintain these relationships for long periods and have a greater number of members on the board of directors compared to companies without such connections. Directors with political experience tend to occupy non-executive positions, suggesting that companies may value political contacts more than the management skills of these directors. It was also found that there are politically connected directors who belong to multiple boards and that women appointed to the board are less likely to have a political background, reflecting male dominance in Portuguese politics.

The main limitations of this study include the small number of listed companies in the sample, which may affect the statistical robustness of the results, as well as the use of secondary sources, which may not capture all relevant policy linkages. In addition, the results are specific to the Portuguese context and may not be generalisable to other countries or other regions of the world.

This study contributes to the understanding of political connections in Portuguese companies, offering valuable insights into how these connections influence board composition and can impact corporate strategy and governance. The findings of this study can be especially useful for business leaders looking to optimise the formation of their boards of directors.