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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.

We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.

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.

This research investigates the behavior of granulated sugar particles of different sizes in a rotating drum at varying speeds, using the discrete element method (DEM) as a mathematical modeling approach.

The study conducted a data scan to determine both static and rolling friction coefficients. Based on benchmark studies, the Hertz–Mindlin contact model with rolling history elastic-plastic spring-dashpot (EPSD) and CDT (directional constant torque) models were employed to simulate the behavior of granulated sugar particles in a rotating drum under varying speeds.

In this research, the static and rolling friction coefficients presented the best values for granulated sugar near 0.60 and 1.5, respectively, applying the CDT model. The method demonstrated great accuracy in replicating experimental data.

This study enables comprehension of the behavior of the particles and particle system in a rotating drum at different speeds. The method may develop models that characterize and predict the main effects of particle systems to reduce project time and expense, especially in the food industry.

Strategic management plays a pivotal role in the growth and success of organizations, significantly impacting their business performance and competitive edge. In today’s globalized markets, strategic management is gaining prominence as a means to enhance company performance and distinctiveness. Within this landscape, the evaluation of organizational effectiveness takes on heightened significance, complemented by the emergence of strategic management frameworks designed to secure enduring competitive advantages for businesses.

One of the best known approaches to organizational resource assessment is the value, rarity, inimitability and organizational-oriented (VRIO) framework. However, this tool comes with inherent limitations that have hindered its advancement, primarily related to the need for less subjective means of identifying and assigning weights to resources and capabilities during the evaluation process. This study, therefore, endeavored to refine the VRIO framework, making it more transparent and empirically robust. To achieve this aim, the framework was combined with the decision-making trial and evaluation laboratory (DEMATEL) method (i.e. a multiple criteria decision analysis (MCDA) method), and a real-life application was conducted.

The evaluation system created was tested, and the results demonstrate that the dual methodology used can increase the understanding of resource appraisal and lead to more informed and potentially better evaluations of resources and capabilities. The strengths and shortcomings of this new structured evaluation model are also analyzed.

The authors know of no prior work reporting the integrated use of VRIO and DEMATEL in this study context.

In light of the challenges and opportunities posed by globalization and technological advancements, this study aims to develop a decision-support system to assist companies in identifying, structuring and prioritizing variables influencing their transformation and adaptation processes to Society 5.0.

The research employs a methodological approach focused on knowledge creation through expert discussions involving diverse backgrounds. Cognitive mapping and interpretive structural modeling (ISM) guide the process, allowing for the integration of subjective elements into the analysis system while ensuring objectivity through ISM. The methodology involves structuring the decision problem, identifying and ranking key factors and evaluating their cause-and-effect relationships.

The analysis underscores the significance of technology and external factors compared to other areas of interest within the model. Consequently, the study emphasizes the necessity for companies to pay special attention to these types of factors during their transformation processes.

While the study provides valuable insights, the reliance on expert discussions may introduce biases or overlook certain perspectives. Additionally, the findings may not be universally applicable and may require customization based on specific organizational contexts or industries. However, the proposed decision-support system offers a practical tool for companies seeking successful adaptation to Society 5.0.

This study provides a novel approach to addressing the challenges posed by globalization and technological advancements. It presents a valuable resource for organizations striving to adapt effectively in the evolving socioeconomic landscape.

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.

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.