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Flame-retardant plastics are used in critical applications, such as aircraft interior parts, when the occurrence of fire can lead to serious injury to people. However, there is a lack of related publications. The purpose of this study is to present experimental data regarding geometrical analysis, such as dimensional accuracy and surface roughness, tensile strength and elongation of parts manufactured with flame-retardant materials by additive manufacturing.

Two additive manufacturing processes, selective laser sintering (SLS) and fused deposition modeling (FDM), were selected to manufacture the parts to be evaluated. Each process used its respective polymer, that is polyamide with flame-retardant additive (PA) for SLS and polyphenylsulfone (PPSF) for FDM. The samples consist of tensile specimens and representative parts of different products. Tensile tests were performed using standard tensile test machines, and geometrical analyses were performed using coordinate measuring machine as well as surface roughness tester.

As each material can be, in commercial machines, produced by only one process, the material selection for final products has to consider the manufacturing process as well. In general, although the FDM/PPSF process provided specimens with the highest ultimate strength, because of its strong influence by the building direction, FDM/PPSF also provided the lowest strength. SLS/PA was able to provide average strength with less dependency on the build-up direction. The geometrical analysis showed that SLS/PA presents a much smoother surface, but FDM/PPSF presented slightly better dimensional accuracy.

There is still lack of publications on polymers with flame resistance or flame-retardant polymers. Thus, this paper brings new technical information about processing such materials.

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.

The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.

The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.

Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.

The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.

This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.

The purpose of this paper is to analyze the innovation process of organizations representing the main sectors of Brazilian economic activity.

The literature review focuses on analyzing the innovation process characteristics regarding the innovation types. The authors carried out interviews with executives and managers in charge of innovation at the leading large companies in the respective sectors analyzed. The data analysis of this qualitative research was structured in three steps. The first step is the analysis of data collected for encoding, the second step, the summarization of the common points presented by the companies in each sector and, finally, the interpretation of these data, aided by triangulation from secondary data that support the analysis of the collected primary data.

The main contribution of this study is to characterize the innovation process of organizations representing the main sectors of the Brazilian economy, with a classification regarding the sectoral innovation standard.

The authors’ intent is that the paper can contribute with a comparative analysis among companies of the same sector and, subsequently, among companies of the different surveyed sectors. Thus, the characterization aims to present the companies’ innovation process and the comparative analysis aims to verify the innovation sectoral patterns. In addition, as implications for management practice, some strategies for better knowledge management in the organization are suggested for each type of innovation.

The main theoretical contribution focuses on the development of a conceptual model that structures the analyzed variables of the constructs “innovation process” and “innovation sectoral patterns”, allowing not only the characterization but also the comparative analysis of the representative organizations present in the sample.

This article aims to collect data on the aluminum alloy 7050-T7451 machinability used in the manufacturing of aeronautical structures, using the combination of the jatropha vegetable-base soluble cutting oil in relation to the canola vegetal and semisynthetic mineral oils and the technique to apply cutting fluid by flood in relation to the Minimum Quantity Lubrication (MQL) in the milling process (HSM – high-speed machining).

It was observed that the jatropha vegetal cutting oil presented the best results in relation to requirements for lubrication, superficial mean roughness (index Ra) and shape errors in relation to the other oils in both the techniques to apply fluid which were tested. Comparing the application techniques, the jatropha vegetal oil offered an increase in the life span of the cutting tool, using the flood technique, exceeding in almost six times the machined length of the cutting tool in relation to the MQL technique in the same process conditions.

The Jatropha vegetable-base cutting oil, besides being produced from a renewable source, has inherent characteristics that can help attain a sustainable manufacturing, mainly with the use of the flood technique to apply cutting fluid in the aluminum alloy 7050-T7451 machining.

The Jatropha (vegetable) oil, in relation to its physicochemical properties, appeared to be the best one fit for being used in the machining of aluminum alloys 7050-T7451 because it did not interfere with any of the elements involved in the formation of intergranular corrosion and/or pitting, which are not allowed in the aeronautical production of parts. Jatropha (vegetable) cutting oil, besides being produced from a clean and renewable source, has the inherent characteristics that can help attain a sustainable manufacturing.

The article aimed to identify and analyze the income differences across the income distribution between homosexuals and heterosexuals by occupational groups in Brazil.

PNAD-C microdata was used in two periods (2013–2015 and 2016 to 2019), highlighting the different economic, social and political contexts in Brazil. Recentered influence function and quantile income decomposition were estimated to verify the difference and income discrimination according to the guideline the worker’s sexuality.

For some cases homosexual workers earn more and in others, homosexuals earn less than heterosexuals. The differences in remuneration according to sexual orientation were smaller in positions that demand low qualification and competence. The quantile income decomposition between 2013 and 2015 revealed the positive effect of discrimination was the generator of income disparities between homosexuals and heterosexuals, with greater impact for the 10th and 90th quantiles and on groups that require small levels of complexity and education. Between 2016 and 2019, there was the presence of both effects, but the explained effect was the promoter of wage disparities in most occupational groups.

Given the dataset, it was only possible to work with proxies of homosexual couples.

There has been little research linking the themes of discrimination based on sexual orientation and occupational groups, and so far, it does not exist similar in Latin America. This study found that sexual orientation influences remuneration according to the occupational group that the worker belongs to, affecting income and, consequently, occupational choice. This connection of issues will contribute to new insights into discrimination based on sexual orientation, as well as more effective public policies aimed at reducing discrimination against homosexuals.

Innovation enables growth and helps address social challenges. This research aims to identify evidence that can characterize an innovative university based on its university management. Thus, the authors define the following research problem: How to measure innovation in a Higher Education Institution (HEI) that intends to be innovative based on its university management?

To this end, the authors conducted a literature review, with a qualitative approach, as well as a case study with data collection through the documental analysis of research that was carried out with the community, namely: Undergraduate Students Profile survey, Reputation of the Institution and Innovation Octagon.

The authors noticed that the results presented by Innovation Octagon show an increase in most indexes, mainly Processes and People, followed by Leadership, Strategy, Relationships and Funding. However, there was a reduction in Structure and Culture.

The results point to the relevance of measuring innovation in the institution, mainly through the use of the Innovation Octagon. The longitudinal measurement of innovation in the institution enables the management of the HEI to constantly progress and develop in favor of the society’s demands for the training of competent professionals for their future professional reality.

This paper aims to study the dynamics of bitcoin prices in Brazil, a large emerging economy with an unregulated bitcoin market.

First, this study tests if the Law of One Price (LOOP) is valid for bitcoin prices in Brazil, conducting tests with data from three Brazilian exchanges. Next, this study documents bitcoin price dynamics in the short run by studying the price discovery mechanism in these exchanges. This study uses Information Share and Component Share, combining the two measures to obtain an Information Leadership Share (ILS) measure.

This study finds a common trend within bitcoin prices among a set of exchanges, with cointegration tests between the price series indicating that LOOP is valid in Brazilian markets in the long run. ILS indicated that, for closing prices, the most liquid exchange (Foxbit) leads discovery, whereas the least liquid (Local Bitcoin) lags, with Mercado Bitcoin in the middle both in terms of discovery and liquidity. Finally, this study provides evidence that the price variation in the market that leads price discovery can be used to construct an arbitrage in another exchange.

This research brings the first evidence of a price discovery mechanism for exchanges in Brazilian Reais. Although LOOP is valid in the long run, price leadership in bitcoin markets potentially create arbitrage opportunities in the short run. This study contributes to the growing literature of bitcoin prices with novel evidence from a large emerging economy.

The purpose of this paper is to investigate the effects of different kinds of merger and acquisitions (M&As) on domestic industries’ productivity in the form of technological change (TC) and efficiency change (EC) in the Brazilian extracting and processing industries.

Panel data analysis is employed to test the impact of different kinds of M&As spillovers on each component of productivity growth. The database contains data collected from 2007 to 2011 referring to the Brazilian industries. The estimation procedure involves two stages. The first stage decomposes TFP growth into EC and TC using a input-based Malmquist Productivity Index. In the second step, EC and TC indexes are used interchangeably as a dependent variable in panel data regressions on the M&As-spillover variables.

The results indicate a positive relationship between TC and M&As made by Brazilian majority capital acquiring foreign-held capital from a company established abroad, which is consistent with reverse spillover theory. They also suggest an inverse relationship between TC and M&A operations made by companies with foreign majority capital acquiring both Brazilian-held capital and foreign-held capital from a company established in Brazil. Only the sectors that are capable of increasing their productivity via TC are able to benefit from technology transfer.

This study is limited by the extent of data aggregation applied, which did not identify M&A transaction effects at the firm level. The available data do not allow isolating the effects of M&A processes on industry performance, given the co-occurrence of several factors that affect the performance of the industry. The study results imply that public managers must remain cognizant of the critical need to preserve and maximize competition between foreign and domestic firms while promoting a competitive environment that encourages the development of domestic technological capacities and skilled human capital.

M&A processes raise important issues with respect to organizational decisions and industrial policy. Studies of M&A transactions may be of fundamental importance to the expansion of healthy companies as they evolve through successive stages of growth and development. Liberalizing regulations to promote M&A transactions, and corporate market control is only justified if it promotes social welfare and economic development. Understanding the complexity and dynamics of this phenomenon and appreciating the heterogeneity of possible outcomes can lead to more relevant discussion regarding their contributions.

Results found in this study indicate the need for greater efforts to understand how M&A operations, especially those associated to foreign-held capital, interact with local owned enterprises in developing economies and what benefits can be achieved through public policy. M&A operations need to be well evaluated by considering the kinds and intensities of externalities they might generate, whether and how local firms can potentially internalize those gains, building up absorptive capacities in order to achieve productivity spillover gains.

This study not only offers a more accurate understanding of the diverse nature and effects of M&A operations, but also stimulates a more relevant public policy discussion related to both foreign direct investment and OFDI incentives in Brazil. The growing economic importance of the activities of developing emerging countries’ multinational enterprises is making governments more inclined to re-evaluate their political strategies. Indeed, governments are beginning to recognize that markets need to be created, monitored and nurtured.

The purpose of this paper is to consider the potential of public health perspectives to “come to the aid” of dementia research and practice.

This paper draws on research and policy papers.

This paper outlines some potential preventive interventions, focussing particularly on life-course phenomena like child poverty, diet and pollution, on the biological mechanisms that enable psychosocial interventions, and on the status of dementia as a syndemic disorder.

This paper presents the opinions of the authors alone. It is based on recent research evidence and the authors’ experiences of dementia research, education and services. The implications for social scientists and for dementia research funders are contained in discussion of the need for research on prevention and social support for people with dementia and their families. While the evidence to guide primary prevention using psychosocial methods is less secure, the paper outlines a large secondary prevention research agenda in dementia.

Methodological approaches that facilitate harmonisation, pooling and comparison of data, are needed. In practical terms the paper argues that there is a need to know if and how psychosocial interventions work, and improve quality of life or even influence harder outcomes.

Few papers have considered the implications of a public health approach to dementia other than taking an epidemiological approach and focusing on the problems of dementia and rising numbers. This paper argues that a wider view of public health may be of particular relevance to dementia syndrome.