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Food supply chains (FSCs) are becoming increasingly complex and vulnerable to recall risks due to quality failures. Measures for supply chain risk management can minimize these recall risks. However, this responsibility must be shared by all stakeholders in the chain. This study aims to analyze the roles of different stakeholders in managing risks in the events of food recalls.

A systematic literature review was carried out, and 110 articles were explored to identify risk management actions and to link them to the role of stakeholders involved in FSC recall.

The study found that nine stakeholders were responsible for 25 hazard management actions related to food safety and traceability systems, regulatory and preventive measures, and control and response mechanisms for food recalls in the FSC.

This article contributes to the literature by proposing an explanatory map associating risk management actions to different stakeholders in food recall. The actions were grouped according to whether they were prevention actions to avoid a food recall or contention actions to limit the negative economic effects and maintain the health of the population.

The present paper aims at the multi-objective optimization of a reentrant hexagonal cell auxetic structure. In addition, a parametric analysis will be carried out to verify how each of the design factors impact each of the responses.

The multi-objective optimization of five different responses of an auxetic model was considered: mass, critical buckling load under compression effort, natural frequency, Poisson's ratio and failure load. The response surface methodology was applied, and a new meta-heuristic of optimization called the multi-objective Lichtenberg algorithm was applied to find the optimized configuration of the model. It was possible to increase the failure load by 26.75% in compression performance optimization. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, the failure load by 28.70% and reduce the mass and Poisson's ratio by 15.97 and 11%, respectively. This paper addresses something new in the scientific world to date when evaluating in a multi-objective optimization problem, the compression and modal performance of an auxetic reentrant model.

It was possible to find multi-objective optimized structures. It was possible to increase the critical buckling load by 42.82%, and the failure load in compression performance by 26.75%. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%, and decrease the mass by 15.97%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, increase the failure load by 28.70% and reduce the mass and Poisson's ratio by 15.97 and 11%, respectively.

There is no work in the literature to date that performed the optimization of 5 responses simultaneously of a reentrant hexagonal cell auxetic structure. This paper also presents an unprecedented statistical analysis in the literature that verifies how the design factors impact each of the responses.

This paper aims to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil, using the technique of multivariate statistics of principal component analysis.

This research presented a descriptive and quantitative character, as well as exploratory purpose and followed the inductive logic, being empirically structured in two stages, that is, the application of principal component analysis (PCA) in four healthcare performance dimensions; subsequently, the full reapplication of principal component analysis in the most highly correlated variables, in module, with the first three main components (PC1, PC2 and PC3).

From the principal component analysis, considering mainly the component I, with twice the explanatory power of the second (PC2) and third components (PC3), it was possible to evidence the efficient or inefficient behavior of the HUFs evaluated, through the production of medical residency, by specialty area. Finally, it was observed the formation of two groups composed of seven and eight hospitals, that is, Groups II and IV, which shows that these groups reflect similarities, with respect to the scores and importance of the variables for both hospitals’ groups.

Among the main limitations, it was observed incomplete data for some HUFs, which made it impossible to search for information to explain and better contextualize certain aspects. More specifically, a limited number of hospitals with complete information was dealt with for 60% of SIMEC/REHUF performance indicators.

The use of PCA multivariate technique was of great contribution to the contextualization of the performance and productivity of homogeneous and autonomous units, represented by the hospitals. It was possible to generate a high quantity of information, to contribute with assumptions to complement the decision-making processes in these organizations.

Development of public policies, with emphasis on hospitals linked to teaching centers represented by university hospitals. The projection of improvements in the reach of the efficiency of the services of assistance to the public health, from the qualified formation of professionals, both to academy, as to clinical practice.

The originality of this paper for the scenarios, Brazilian public health sector and academic area involved the application of a consolidated performance analysis technique, that is, PCA, obtaining a rich work in relation to the extensive exploitation of techniques to support decision-making processes. In addition, the sequence and the way in which the content, formed by object of study and techniques, has been organized, generating a particular scenario for the measurement of performance in hospital organizations.

This paper aimed to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil, using the technique of multivariate statistics of principal component analysis.

This research presented a descriptive and quantitative character, as well as exploratory purpose and followed the inductive logic, being empirically structured in two stages, that is, the application of principal component analysis (PCA) in four healthcare performance dimensions; subsequently, the full reapplication of principal component analysis in the most highly correlated variables, in module, with the first three main components (PC1, PC2 and PC3).

From the principal component analysis, considering mainly component I, with twice the explanatory power of the second (PC2) and third components (PC3), it was possible to evidence the efficient or inefficient behavior of the HUFs evaluated through the production of medical residency, by specialty area. Finally, it was observed that the formation of two groups composed of seven and eight hospitals, that is, Groups II and IV shows that these groups reflect similarities with respect to the scores and importance of the variables for both hospitals’ groups.

Among the main limitations it was observed that there was incomplete data for some HUFs, which made it impossible to search for information to explain and better contextualize certain aspects. More specifically, a limited number of hospitals with complete information were dealt with for 60% of SIMEC/REHUF performance indicators.

The use of PCA multivariate technique was of great contribution to the contextualization of the performance and productivity of homogeneous and autonomous units represented by the hospitals. It was possible to generate a large quantity of information in order to contribute with assumptions to complement the decision-making processes in these organizations.

Development of public policies with emphasis on hospitals linked to teaching centers represented by university hospitals. This also involved the projection of improvements in the reach of the efficiency of the services of assistance to the public health, from the qualified formation of professionals, both to academy, as to clinical practice.

The originality of this paper for the scenarios of the Brazilian public health sector and academic area involved the application of a consolidated performance analysis technique, that is, PCA, obtaining a rich work in relation to the extensive exploitation of techniques to support decision-making processes. In addition, the sequence and the way in which the content, formed by object of study and techniques, has been organized, generates a particular scenario for the measurement of performance in hospital organizations.

The aim of this study was to evaluate the performance of fuel flow processes in a network of eight gas stations, located in the mesoregion of Alto Paranaíba and Triângulo Mineiro.

Two multi-criteria decision support methods were applied, respectively, of a statistical and mathematical nature, namely, Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA). The research method used was quantitative, with a brief complement of qualitative research, and descriptive in purpose, supported by the inductive method. The data collection stage took place with the support of interviews, with the application of a structured questionnaire, and non-probabilistic sampling, for convenience.

It was possible to verify that the gas station that stood out the most was station 2 (GS2), which achieved maximum efficiency, a fact that can be justified by the analysis resulting from the application of PCA, as for the product purchase variable (PP), the GS2 is the one that buys the most fuel, and is also the one with the largest storage capacity (C), and the highest volume of product sales (PS), which suggests signs of balance between supply and demand for this station, justifying its prominence.

The limitations of the study were related to the DEA technique, which requires a number of variables/indicators three times smaller than the number of DMUs considered, and the difficulty in obtaining financial data on the DMUs analyzed. Considering the security and anonymity of the gas station network, it was not possible to use this data.

The performance assessment of fuel flow processes carried out in this study promotes the efficient use of available resources as well as identifying efficient DMUs that represent benchmarks for improving management processes and performance of inefficient DMUs.

From a social perspective, this study promotes the improvement of the quality of flow processes and effective management of the fuel supply chain, ensuring the safe storage and transportation of fuels to customer supply. Performance management in this sector moves other sectors of the economy, since an efficient unit represents a balance between supply and demand, and consequently, boosts the regional economy, promoting economic growth of the population. Hiring qualified labor for this purpose also represents one of the implications of the study. From an environmental perspective, optimizing flow processes generates a reduction in greenhouse gas emissions and encourages the formulation of public policies aimed at consolidating sustainable practices.

Performance management applied to the context of the fuel supply chain is a relevant topic that has been little explored in scientific research, with a low level of information detail. This study using the inductive method allows the generalization and replication of this management pattern in other organizations in the sector in order to increase the efficiency of the fuel distribution system, with the perspective of maximizing outputs and reducing input consumption. In this aspect, the study introduces possibilities for advancement in social and environmental perspectives based on the effective management of fuel logistics.

The purpose of this paper is to examine frequency and correlates of intimate partner violence (IPV) severity perpetrated by heterosexual men receiving treatment for substance use towards a current partner in the past 12 months.

A secondary analysis of a self-reported questionnaire (n=162) completed by men receiving treatment for substance use in England and Brazil was conducted. Types of IPV perpetration (emotional, physical and/or sexual IPV) and frequency of occurrence were assessed. A five level ordinal variable for IPV perpetration severity was created: no IPV, minor; moderate, low severe and high severe. Psychological and cultural correlates of perpetration severity were explored using ordinal logistic regression.

Approximately four in ten men reported perpetrating IPV towards their partner in the past 12 months, one in ten reported perpetrating severe IPV (including hitting with something, kicking or beating, choking or burning, threatening with/using a weapon, sexual IPV and frequent emotional IPV) during this period. A number of correlates of perpetration severity were identified: experiencing childhood physical abuse, witnessing IPV in childhood, perpetrating IPV in previous relationships, committing violence towards another man, controlling behaviours, technology-facilitated abuse, depressive symptoms, having a substance using partner, receiving treatment for illicit drug use, hazardous drinking and poly-drug use.

Despite the small sample size, small to large positive associations were observed between reporting IPV perpetration and several factors. These factors could be targeted to improve identification and assessment of IPV among men receiving treatment for substance use.

A strength of this study methodology is the use of a specific 12 months time frame for the perpetration of IPV towards current partner. The categorisation of levels of IPV perpetration based on types and frequency of violence occurrence was an additional valuable contribution of this study.

The purpose of this paper is to explore marketing analysis by developing a customer loyalty approach for small- and medium-sized enterprises (SMEs) in the service sector, based on customer relationship management (CRM) in the context of an emerging economy.

This study analyzes different models of CRM in the literature and defines a loyalty approach for SMEs in the service sector. It is characterized as exploratory research, with a qualitative approach. A systematic review of the literature is undertaken as the starting point for achieving the main objective of the study.

The need to develop a framework for an approach to customer loyalty for SMEs based on CRM and to make it operational.

It is a qualitative and exploratory study, applied only to a company’s two main clients.

The contribution of this study is that it offers SMEs consistent guidelines on how best to conduct relationship management with their customers by using a systemic methodology that can be adapted to the requirements of more effective interaction between a company and its customers. It also provides coherence to the purpose of meeting customers’ needs. This is an action strategy that focuses especially on the use of tools, such as SERVQUAL, Kano and SWOT analysis, and thereby increases the competitive profile of organizations in this sector.

This study is a new approach to customer loyalty for SMEs in the service sector, which integrates elements of CRM strategy and implementation.

The Six Sigma project aims at a continual reduction in process variation, eliminating defects or flaws in products and services, optimizing processes and reducing costs. The purpose of this study is to demonstrate improvements in customer service index (CSI), product cycle time and inventory turnover after implementation of a Six Sigma project.

This research focused on the value stream mapping of a company process, performed by a multidisciplinary team that implemented a pull production system, the standard operational procedure in machines that were process bottlenecks, and the kanban system.

After three months of implementation, the authors observed an 11.7 percent reduction in product cycle time, increase in customer service index (CSI) from 93.9 to 97 percent and increase in inventory turnovers from 4.9 to 9.

The project was in accordance with the competitive strategy of the company, which is focused on customer satisfaction and cost reduction.

The aim of this study is to investigate the effects of soft and hard quality management (QM) practices on innovation performance, considering innovation practices as a contextual variable mediating this relationship.

Using data from 132 Brazilian manufacturing companies, partial least square–structural equation modeling (PLS–SEM) is employed to test if soft and hard QM practices, directly, affect innovation practices and, indirectly, innovation performance. This investigation also aims to identify whether the relationships are maintained regardless of the size of the company.

The results suggest that soft QM has a positive effect on hard QM. However, only soft QM, not hard QM, has a significant effect on innovation practices. Additionally, soft QM has a significant positive effect on innovation performance through innovation practices. Company size does not influence the relationships.

The findings can help managers to adjust their managerial practices to enhance the effective impact of QM on innovation performance.

The previous literature presents conflicting results on the relationship between QM and innovation performance. Most studies have proposed a direct relationship between both constructs. This study considers innovation practices as a mediator in this relationship. Furthermore, this paper adds to the scarce literature reporting related studies conducted in developing countries.

Simulation technology has been used as a viable alternative to provide a real life setting in teacher education. Applying mixed-reality classroom simulations to English for Speakers of Other Languages (ESOL) teacher preparation, this qualitative case study aims to examine how pre-service teachers (PSTs) practice culturally and linguistically responsive teaching to work with an English learner (EL) avatar and other avatar students.

Using an embedded single case study, three PSTs’ teaching simulations and interviews were collected and analyzed.

This study found PST participants made meaningful connections between theory and practices of culturally and linguistically responsive teaching, particularly by connecting academic concepts to students’ life experiences, promoting cultural diversity, using instructional scaffolding and creating a safe environment. Nevertheless, they needed further improvement in incorporating cultural diversity into content lessons, creating a challenging and supportive classroom and developing interactional scaffolding for ELs’ language development. The findings also show that while PST participants perceived simulation technology as very beneficial, expanding the range of technological affordances could provide PSTs an opportunity to undertake a full range of critical teaching strategies for ELs.

This research contributes to broadening the realm of mixed-reality technology by applying it to ESOL teacher education and has implications for both ESOL teacher educators and simulation technology researchers.