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This paper presents an exploratory research carried out in four manufacturing companies (large to medium size) located in the central region of São Paulo State, Brazil. The research was conducted aiming at characterising the companies in regard to quality and human resource management practices. The results show that human resource management may co‐operate with the success of total quality programmes, emphasising the competitive advantages which can be created from this partnership, namely organisational learning, organisational culture management and team‐based management.

This article investigates the relationship between the functional areas of manufacturing and human resources by analysing the practices of human resource management associated with the competitive priorities of manufacturing strategy, e.g. quality, delivery performance, flexibility and cost. Within strategic business management, both the competitive priorities of manufacturing and the practices of human resource management need to be observed by the whole organisation. In this way, this study presents how human resource management practices are aligned to business strategies based on cost reduction, quality, delivery performance and product innovation. These practices may also be arranged in different ways in a particular competitive strategy.

This study assesses outsourcing risks using the fuzzy analytical hierarchy process (FAHP).

This descriptive research combines both qualitative and quantitative approaches. Risks identified in the literature review were classified with FAHP using questionnaire data from respondents in operations, procurement and risk management in Brazilian Navy Industrial Military Organizations (OMPS-I, by its Portuguese acronym).

The results indicate that FAHP is a method capable of producing relevant information to decision-making in the risk management process. A framework was created incorporating 16 major risks related to outsourcing. The results point to higher inherent risk levels related to outsourcing in the context of OMPS-Is: in order, hidden costs and unrealized savings; loss of knowledge/skills and/or corporate memory and difficulty in reacquiring a function; and loss of opportunities and reputation. The category of economic risk was revealed as the most important.

This study improves understanding of outsourcing risks and improves risk assessment by refining decision-making information and developing a system of decision analysis with several criteria. It also contributes to the development and implementation of a usable version of decision analysis with several criteria at a managerial level.

This study investigates the repetitive mixed sampling (MRS) plan based on the Cpk index that was proposed by Aslam et al. (2013a). They were the first to study the MRS plan, but they did not pay attention to the fact that submitting to the variable inspection a sample that was first submitted to the attribute inspection, truncates the X observations. In addition, they did not work with an accurate expression to calculate the probabilities of the Cpk statistic.

The authors presented the results based on their original sampling plan through Monte Carlo simulation and defined the theoretical results of their plan when the sample submitted to the variable inspection is no longer the same one submitted to the attribute inspection.

The β risks of the optimum sampling plans presented by Aslam et al. (2013a) are pretty high, exceeding 46%, on average – this same problem was also observed in Saminathan and Mahalingam (2018), Balamurali (2020) and Balamurali et al. (2020), where the β risks of their proposed sampling plans are yet higher.

In terms of originality, the authors can declare the following. It is not a big deal to propose new sampling plans, if one does not know how to obtain their properties. The miscalculations of the sampling plans risks are dangerous; imagine the situation where the acceptance of bad lots exceeds 50% just because the sampling plan was incorrectly designed. Yes, it is a big deal to warn that this type of problem is arising in a growing number of papers. The authors of this study are the pioneers to discover that many studies focusing on the sampling plans need to be urgently revised.

The purpose of this paper is to analyze the best way to create value in Portugal through quality and innovation and also to check what needs to be improved.

A questionnaire was applied to population of 152 companies, with the research and development (R&D) management certified by Portuguese Standard NP 4457. The final sample was 66 companies, which correspond to 45 percent of the population. Statistical analysis of the data collected was performed using IBM SPSS Statistical Software.

The authors highlighted the main reasons/motivations that led companies to implement the NP 4457, which were, among others, competitive advantage and creating value. The systematization of information and the generation and management of ideas were highlighted as the main advantages. The lack of methodologies for innovation management and knowledge management was the difficulty experienced in the implementation of NP 4457. Portugal needs to increase patent registration and it also needs to know how to take advantage of the investment made in R&D, in order to decrease the unit cost of knowledge. Portuguese engineering should be more about product design than production processes. The involvement of top management must be greater.

This investigation contributes to the innovation and quality body of knowledge, since it explores the complementarity between the two concepts as sources of value creation. This case study is one of the first Portuguese empirical research works about value creation through quality and innovation in Portugal. It also allows to know in detail the Portuguese business reality in terms of innovation management.

Small- and medium-sized enterprises (SMEs) have become increasingly important in national and international markets because they contribute to the development of local and national economies. SMEs often face serious challenges when competing with multinational companies. The purpose of this paper is to develop a method for assessing SMEs’ competitiveness.

Based on a constructivist epistemology, this study makes an integrated use of cognitive mapping and the measuring attractiveness by a categorical-based evaluation technique (MACBETH). To this end, face-to-face sessions were conducted with a panel of entrepreneurs and senior managers who deal with the challenges of maintaining SME competitiveness every day. The proposed assessment system was tested and validated by the panel members.

The methodological processes adopted in this study provide promising results for decision makers seeking to identify the most competitive SMEs. Specifically, the results emphasize, among other points, the importance of innovation and the human dimension to gaining competitive advantages.

The evaluation system developed in this study is extremely versatile and confirms the usefulness of integrating cognitive mapping and MACBETH to facilitate evaluations of SME competitiveness. However, due to its idiosyncratic and process-oriented nature, generalizations need to be done with caution.

The proposed method can be valuable to researchers seeking to develop mechanisms for evaluating SMEs’ entrepreneurial performance and include specialized know-how and sensemaking in organizational decision-making processes.

The integrated use of cognitive maps and MACBETH contributes to a better understanding of how to assess SMEs’ competitiveness. No prior work reporting the use of this dual methodology in this study context has been found.

This study aims to estimate the overall SARS-CoV-2 seroprevalence and evaluate the accuracy of an antibody rapid test compared to a reference serological assay during a COVID-19 outbreak in a prison complex housing over 13,000 prisoners in Brasília.

The authors obtained a randomized, stratified representative sample of each prison unit and conducted a repeated serosurvey among prisoners between June and July 2020, using a lateral-flow immunochromatographic assay (LFIA). Samples were also retested using a chemiluminescence enzyme immunoassay (CLIA) to compare SARS-CoV-2 seroprevalence and 21-days incidence, as well as to estimate the overall infection fatality rate (IFR) and determine the diagnostic accuracy of the LFIA test.

This study identified 485 eligible individuals and enrolled 460 participants. Baseline and 21-days follow-up seroprevalence were estimated at 52.0% (95% CI 44.9–59.0) and 56.7% (95% CI 48.2–65.3) with LFIA; and 80.7% (95% CI 74.1–87.3) and 81.1% (95% CI 74.4–87.8) with CLIA, with an overall IFR of 0.02%. There were 78.2% (95% CI 66.7–89.7) symptomatic individuals among the positive cases. Sensitivity and specificity of LFIA were estimated at 43.4% and 83.3% for IgM; 46.5% and 91.5% for IgG; and 59.1% and 77.3% for combined tests.

The authors found high seroprevalence of anti-SARS-CoV-2 antibodies within the prison complex. The occurrence of asymptomatic infection highlights the importance of periodic mass testing in addition to case-finding of symptomatic individuals; however, the field performance of LFIA tests should be validated. This study recommends that vaccination strategies consider the inclusion of prisoners and prison staff in priority groups.

This paper aims to analyze some knowledge management (KM) frameworks that sustainable development goals (SDGs) can apply to such a challenging implementation.

To accomplish this, a systematic scientific literature review was carried out about the KM concept. Searching, analyzing and collecting different KM frameworks were crossed and compared to achieve a standard KM framework list, based on the most important and relevant information collected.

The study outlines how and which KM frameworks may be applied in an effort to reach the 2030 Agenda for Sustainable Development and SDGs, so it can overcome the barriers and pitfalls related to the knowledge management use.

The paper shows some SDG areas that deserve future attention and deep implementation with KM frameworks.

With the enormous potential and vision of the sustainable development goals (SDGs), there is a barrier in its progress and development: the knowledge use, in both the local knowledge aspects and general knowledge management. This paper creates a Knowledge Management Excellence Model (KMEM) linked to SDGs, which will help and promote its use to educate and involve all those interested in meeting these goals.

The purpose of this paper is to analyze the innovation strategies of the sugar–energy industry in Central-Southern Brazil with regard to its resource structure and results.

The data were collected through a questionnaire covering the three-year period from 2015 through 2017. The results were extracted based on a combination of factor analysis and multiple regression analysis.

The innovation strategies of Brazilian sugar–energy companies are characterized as defensive and imitative based on the resources dedicated to innovation and the implementation of innovation with respect to products, processes, eco-innovation and cost reductions.

The sample is representative, but it does not cover all companies in the Brazilian sugar–energy industry. The data were acquired using a survey, and the results could not be compared to the financial results of the companies.

Sugar–energy companies need to define their innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations. Managers and analysts need to know the profile of these innovation strategies to evaluate the effectiveness of the results based on the resources that were invested.

This study presents an exploratory model that identified two factors related to innovation efforts and three results. It is possible to define the innovation strategies of companies in the Brazilian sugar–energy industry, which is one of the most competitive in Brazil.

Within the fast-moving consumer goods (FMCG) supply chain, one of the problems facing the distribution channel strategy is the presence of the gray market. The article shows two novel antecedents of the participation of official distributors in this gray channel: Negative impact on distributor performance and the relationship with their supplier. Knowledge of this background helps to preserve the strategy outlined for the official distribution channel.

Data were collected from 172 Spanish wholesale distributors and analyzed using PLS-SEM.

The authors found that the damage through negative affectation in the official distributor's performance and the cooperation provided by the manufacturer, have different effects. While affectation is shown to be a powerful antecedent of participation in the gray market, the effect of perceived manufacturer cooperation does not show strong results.

In business practice, these findings lead the manufacturer to keep transactions carried out in the gray market at low levels and provide cooperation to official distributors to guarantee the official channel strategy aimed at efficiency in the distribution of branded goods.

The background of the gray market discussed in the study has not been previously analyzed in the literature. In this way, the authors contribute to the knowledge of such a common problem as the presence of the gray market in the segmentation of distribution channels of high-demand products.