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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.

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 use of rapid prototyping (RP) technologies is becoming increasingly popular due to the reduction of machinery prices. Consequently, more and more industries now have the opportunity to apply such processes to improve their product development cycles. The purpose of this paper is to present different decision‐making approaches to choose an adequate RP process.

Here, four decision approaches are applied to compare six processes regarding six criteria, using the input data from previous works. As a result, six decision methods are compared. Two different scenarios are constructed, where different important attributes are considered, simulating two different prototype applications.

It is demonstrated that not all methods result in the same RP ranking, however, most of them provide the same first option for a given scenario. The characteristics of the methods could be related to their influence on the evaluation, which serve as guidelines for the decision makers in order to reflect their exact opinion or requirements.

Owing to different ways of inputting information into the decision methods, some considerations are made in order to convert as close as possible the RP process attributes and scenario requirements into useful data for each method. In particular, the conversion of scenarios, i.e. the relative importance of the criteria, is somewhat challenging.

Although the fundamentals of the decision methods are presented here, one should be careful while comparing the RP process, because their attributes may vary enormously depending on the parameter process to build a part. Despite all the considerations and precautions to be observed, the selection of the RP process can be done in a simple way, dispensing with complex calculations.

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.

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 study relies on the lessons learned from the recent pandemic crisis to propose a conceptual framework for organizational crisis management and illustrate its application in an organization that effectively protected its competitive position during the crisis.

Building upon the resource-based view and the dynamic capability theoretical framework, we first conducted a systematic literature review that involves content and bibliographic analysis. Subsequently, we developed a conceptual crisis management framework and applied it to the case of Hyundai Motor Brazil.

The systematic literature review found innovation and knowledge management as prominent response mechanisms to the pandemic crisis whereas the case provided a better understanding on how these mechanisms contributed to crisis navigation.

Managers will find valuable insights into the importance of linking risk management and crisis management, and leveraging innovation and knowledge to enhance resilience, with straightforward operationalization for benchmark.

This paper is original for relating enterprise risk management, innovation and knowledge management to each phase of existing crisis management processes. It enriches the theoretical and practical debate on the dynamic capabilities’ perspective of risk and crisis management.

In recent years, school districts have faced numerous questions surrounding accommodations of transgender students. Strong objections to accommodations have been voiced in public argument and litigation, primarily in the areas of athletics, bathrooms, and dress codes. As younger transgender students express their gender identity at school, however, the existing objections are weakened by considering the context of elementary rather than high school students. Greater numbers of young transgender students will likely encourage accommodation of trans students of all ages, as well as challenge the gender binary unconsciously taught in school.

In the context of budget constraints and the current quality crisis facing UK healthcare, the purpose of this paper is to examine the use of trans-disciplinary community groups (TCG) – an innovative and inexpensive initiative for improving patient care.

Using an action research study, TCG was implemented within a private healthcare firm for vulnerable adults. Qualitative data were gathered over 12 months from 33 participants using depth interviews and focus groups.

TCG led to improved patient activities and increased patient decision-making and confidence in self-advocacy. Key prerequisites were top management commitment, democratic leadership and employee empowerment. However, staff nurses resisted TCG because they were inclined to using managerial control and their own independent clinical judgements.

Whilst the findings from this study should not be generalized across all healthcare sectors, its results could be replicated in contexts where there is wide commitment to TCG and where managers adopt a democratic style of leadership. Researchers could take this study further by exploring the applicability of TCG in public healthcare organizations or other multi-disciplinary service contexts.

The findings of this research paper provide policy makers and healthcare managers with practical insights on TCG and the factors that are likely to obstruct and facilitate its implementation.

Adopting TCG could enable healthcare managers to ameliorate their services with little or no extra cost, which is especially important in a budget constraint context and the current quality crisis facing UK healthcare.

Despite the importance of hosts who contribute to the success of accommodation sharing through sharing underutilized space with guests, current literature sheds little light on what exactly incentivizes hosts to grow their properties. The purpose of this study is to investigate the effects of multifaceted motivations including financial benefits, online social interaction and membership seniority and their interplay on hosts’ multiple listing behavior.

The study is instantiated on real-world business data collected from an accommodation-sharing platform in China. The data set includes 3,199 observations of 252 multi-listing hosts in Beijing who managed 815 properties from September 2012 to October 2016.

The study discloses that financial benefits, online social interaction and membership seniority significantly incentivize hosts to list multiple properties on the accommodation-sharing platform. In particular, the social incentive is the most important driver among the three. With a 1 per cent increase in online social interactions, the number of properties operated by a host would increase by 13.5 per cent. While the financial benefits and online social interaction motivate hosts to engage in the multi-listing behavior, such effects are significantly mitigated as the membership seniority increases.

This study adds to the extant literature a unique yet less researched perspective of supply expansion driven by hosts. It also provides important practical implications for managing multiple properties for a healthy and viable accommodation-sharing community.

While a majority of the extant research on the sharing economy primarily takes a consumer-related perspective, this study addresses a different and original topic about hosts’ multiple-listing behavior that drives the supply of accommodation sharing. It is a first empirical investigation of the increase of accommodation sharing supply with host motivations explained.