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The Basque Country Public Health Service has moved in the last years from considering quality as an attribute of patient care to thinking that all management can be subject to improvement. Consequently, its general management team has promoted and supported a self‐assessment experience of all their centres by means of the European Quality Model. This strategy has been facilitated by the Basque Country Government, which has strongly encouraged total quality management in companies, and has created the Basque Foundation for Quality Promotion, a key institution in this whole process. A total of 26 centres of the Public Health Service concluded a self‐assessment process. As the main result of this, different improvement areas were detected, and various necessary actions were implemented in the centres assessed. Advantages, troubles and future work lines to extend and improve the use of the EFQM model in the health sector are discussed.

Mesoscale air quality models are an important tool to forecast and analyse the air quality in regional and urban areas. In recent years an increased interest has been shown by decision makers in these types of software tools. The complexity of such a model has grown exponentially with the increase of computer power. Nowadays, medium workstations can run operational versions of these modelling systems successfully. Presents a complex mesoscale air quality model which has been installed in the Environmental Office of the Madrid community (Spain) in order to forecast accurately the ozone, nitrogen dioxide and sulphur dioxide air concentrations in a 3D domain centred on Madrid city. Describes the challenging scientific matters to be solved in order to develop an operational version of the atmospheric mesoscale numerical pollution model for urban and regional areas (ANA). Some encouraging results have been achieved in the attempts to improve the accuracy of the predictions made by the version already installed.

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.

The purpose of this paper is to identify the causal relationship between the independent variables such as process quality and product innovation in regard to the dependent variable of competitiveness, in the manufacturing sector of the automotive industry, specifically for Tier 1 auto parts manufacturing companies in the state of Nuevo León, México.

Based on a thorough review of the literature, an instrument was designed to measure the competitiveness of automotive industry manufacturing; it was applied to Tier 1 suppliers of automotive parts in the state of Nuevo León, México. Various statistical analysis tests were applied to the results; first, Cronbach's alpha to determine the reliability of the instrument, and next, a factor analysis to measure construct validity. In addition, a multiple linear regression analysis was carried out to identify the causal relationships between the variables analysed.

This study found that process quality as well as product innovation have independent and positive causal relationships with respect to competitiveness in automotive manufacturing.

The limitations of this paper are its focus on a single manufacturing sector, application in a single country and small sample size.

Companies that supply automotive parts will be able to invest in the key elements of quality and innovation while focusing their efforts on reinforcing their competitiveness.

Auto parts suppliers will be able to perform specific actions to improve their quality processes through lean manufacturing and quality assurance practices and by designing new and innovative products that will enhance their competitiveness.

This chapter demonstrates how the reception, adaption and development of gender studies in Brazil and subsequent law reform have created a new theoretical field of feminist criminology with a Southern approach. During the 1980s, Brazilian literature discussed gender violence according to three theories: male domination (Chauí), patriarchal domination (Saffioti) and relational violence (Gregori). Gender theories were introduced and developed during the 1990s. Decolonial studies stressed the deeper intersection of gender with race, social class and other vectors of discrimination, which increases the vulnerability of minority women, particularly black and indigenous women. The increase in gender studies supported political feminist advocacy to promote law reform, such as the Maria da Penha Law, the criminalisation of femicide, reforms related to sexual violence and women in prison. Feminist criminology has both criticised law and used it to promote gender equality on society. Judicial practices indicate the conservative resistance of the juridical field to assimilating gender debates and feminist critical theories as a whole.

The purpose of this paper is to propose a combination of forecasting methods that enables a holistic understanding of a future situation, given certain influencing variables by a combination of real data and expert knowledge.

The proposal combines two well-known methods: first, system archetypes that correspond to generic structures, allowing us to handle model management issues, and second, system dynamics that offers technical support on a computational level to assess different scenarios or problem solutions.

The case study considers the situation of the mining industry in Chile and its related variables, including four different scenarios. Based on the proposed methodology, the results indicate that: first, the price of copper is paramount for the industry and its effects are not limited to company profits; second, a long period of downfall in copper prices could halt exploration and development projects.

Systemic archetypes are still a subject of research and their application in different fields of knowledge continues to increase to improve this simulation approach.

The case study illustrates the combination of a Vester matrix and initial system archetype models that are enriched using the system dynamics approach. Indeed, the case study aims to understand the consequences of different scenarios based on the problem-driven approach provided by Vester.

The goal of prospective studies of large-scale and complex situations is to model the real situation to obtain solutions that may enhance social welfare.

The proposed methodology contributes to the existing literature by integrating techniques such as the Vester matrix, system archetype modelling and system dynamics simulation, all of which were proposed previously in the literature as independent techniques.

Este artículo propone una combinación de métodos de pronósticos que permite una comprensión holística de una situación futura, dadas ciertas variables de influencia mediante una combinación de datos reales y conocimiento de expertos.

La propuesta combina dos métodos conocidos: (i) arquetipos de sistemas que corresponden a estructuras genéricas, lo que nos permite manejar los modelos, y (ii) la dinámica de sistemas que ofrece soporte técnico a nivel computacional para evaluar diferentes escenarios o soluciones de problemas.

El caso de estudio considera la situación de la industria minera en Chile y sus variables relacionadas, incluidos cuatro escenarios diferentes. Según la metodología propuesta, los resultados indican que i) el precio del cobre es primordial para la industria y sus efectos no se limitan a las ganancias de la empresa; ii) un largo período de caída en los precios del cobre podría detener los proyectos de exploración y desarrollo.

Los arquetipos sistémicos siguen siendo un tema de investigación y su aplicación en diferentes campos del conocimiento continúa aumentando para mejorar este enfoque de simulación.

El estudio de caso ilustra la combinación de una matriz de Vester y los modelos de arquetipos del sistema inicial que se enriquecen utilizando el enfoque de dinámica de sistemas. De hecho, el caso de estudio apunta a comprender las consecuencias de diferentes escenarios basados en el enfoque orientado a los problemas proporcionado por Vester.

El objetivo de los estudios prospectivos para situaciones de gran escala y complejas es modelar la situación real para obtener soluciones que puedan mejorar el bienestar social.

La metodología propuesta contribuye a la literatura existente mediante la integración de técnicas como la matriz de Vester, el modelado de arquetipos del sistema y la simulación de dinámica de sistemas, todo lo cual se propuso anteriormente en la literatura como técnicas independientes.

This study identifies measures to recover economic growth and build sustainable societies and markets in post-COVID-19 scenarios – with a perspective of resilience and adaptability to climate change and massive biodiversity loss. Additionally, this study uncovers the interventions implemented to address economic, environmental and social consequences of past crises based on a systematic literature review. Specifically, this chapter provides answers to the following six questions:

1. What has been done in the past to rebuild social, economic and environmental balance after global crises?

2. Where (geographical region) did the analysis on measures taken concentrate?

3. When have scholars analysed past measures to rebuild business and society after a global crisis?

4. How did the past measures to rebuild business and society after the global crisis take place?

5. Who promotes the measures to rebuild business and society after a global crisis takes place?

6. Why is it important to study the previous literature on past measures to rebuild business and society after a global crisis takes place?

What has been done in the past to rebuild social, economic and environmental balance after global crises?

Where (geographical region) did the analysis on measures taken concentrate?

When have scholars analysed past measures to rebuild business and society after a global crisis?

How did the past measures to rebuild business and society after the global crisis take place?

Who promotes the measures to rebuild business and society after a global crisis takes place?

Why is it important to study the previous literature on past measures to rebuild business and society after a global crisis takes place?

Finally, this chapter identifies future research opportunities to rebuild business and society after the past global crises.

This study explores the impact of new technologies, such as simulation and virtual reality, on the pedagogy and learning of engineering students. It aims to compare the effectiveness of these digital tools against traditional teaching methods in enhancing student learning experiences.

Utilizing a quantitative research approach, the study involved third-year engineering students from the “Production Management” course at the School of Engineering of Vitoria-Gasteiz. Data were collected through an ad hoc questionnaire and analyzed using SPSS software, focusing on student satisfaction, challenges in adopting new technologies and the evolving roles of students and teachers.

The research highlighted several key aspects. Firstly, it identified the need for adapting teaching methods to incorporate new technologies effectively. Secondly, the integration of simulation and virtual reality was found to facilitate a deeper understanding of real-world problems, as students could engage with these issues in a simulated, virtual environment. Finally, the study emphasized the importance of pedagogical approaches that leverage these technologies to increase student involvement and motivation. The results suggest a positive impact of digital tools on the learning process in engineering education.

The study’s scope was limited to one course within a single institution, suggesting the need for broader research across various disciplines and educational settings.

This research offers valuable insights into the integration of simulation and virtual reality in engineering education, underscoring their potential to enhance the learning experience and knowledge acquisition among students.