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This paper proposes an algorithm for the extraction of reduced order models of MEMS switches, based on using a physics aware simplification technique.

The reduced model is built progressively by increasing the complexity of the physical model. The approach starts with static analyses and continues with dynamic ones. Physical phenomena are introduced sequentially in the reduced model whose order is increased until accuracy, computed by assessing forces that are kept in the reduced model, is acceptable.

The technique is exemplified for RF-MEMS switches, but it can be extended for any device where physical phenomena can be included one by one, in a hierarchy of models. The extraction technique is based on analogies that are carried out for both the multiphysics and the full-wave electromagnetic phenomena and their couplings. In the final model, the multiphysics electromechanical phenomena is reduced to a system with lumped components with nonlinear elastic and damping forces, coupled with a system with distributed and lumped components which represents the reduced model of the RF electromagnetic phenomena.

Contrary to the order reduction by projection methods, this approach has the advantage that the simplified model can be easily understood, the equations and variables have significance for the user and the algorithm starts with a model of minimal order, which is increased until the approximation error is acceptable. The novelty of the proposed method is that, being tailored to a specific application, it is able to keep physical interpretation inside the reduced model. This is the reason why, the obtained model has an extremely low order, much lower than the one achievable with general state-of-the-art procedures.

Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended for regional development. However, regional development policies have led economies to very different competitive positions in matters of innovation. To address these issues, this paper aims to identify the variables that most contribute to the positioning of economies in terms of performance innovation in Europe.

The data for this study were collected at the regional innovation scoreboard. This paper uses a quantitative methodology through a multivariate statistical technique (discriminant analysis).

The results suggest that specific innovation strategies explain the competitive positioning of economies within each group of countries. It was possible to demonstrate that economies with leader classification show greater comparative robustness in the variables “Small and medium enterprise (SMEs) with product or process innovations,” “SMEs with product or process innovations,” “research and development (R&D) expenditure public sector” and “population with tertiary education,” constituting an effective instrument of innovation policy. Furthermore, it was possible to show that the economies belonging to the modest group do not have a competitive advantage in any of the variables under study, thus providing a reflection opportunity for policymakers at this level.

The present research identifies which variables are most relevant to the classification considering the regional innovation performance in leader, strong, moderate and modest. Several suggestions were given to companies, policymakers and higher education institutions in the sense that the regions where they operate can improve their innovative performance, which may help to a change in their current classification.

This paper aims to understand how the different stakeholders assess the adequacy of smart specialization policies defined for their regions.

This paper has followed a quantitative methodology through the application of questionnaire surveys to stakeholders of the various territorial regions in Portugal.

As a result, from the “resource-based view” approach applied to the various regions, the attained results highlight that the suitability of smart specialization policies defined for the Portuguese regions is not unanimous among its stakeholders.

The research can be used as a tool to assist regional policymakers in strategic reflection when defining and adjusting smart specialization strategies in their territories.

In 2014, the city of São Paulo began to implement the public policy “WiFi Livre SP.” This policy created the infrastructure for a WiFi network providing unrestricted internet connectivity in a 120 public squares, distributed in 5 geographical regions of the city (center, south, north, east, and west). In order to monitor the effectiveness of this public policy, a series of surveys were administered to users. The survey ascertained their views about the quality and frequency of the signal in the public squares.

To carry out analysis of this service a survey was used. The researchers camped out in the squares and flagged people down asking whether they could participate in the survey. Data was collected between August and October 2015, using an application for tablets developed by the research team.

The data showed that the networks functioned effectively and provided good service to the users. Another positive factor is the good signal evaluation in the public squares, since it was an initial concern of the project makers. Further, access to these networks made it possible for residents to use several platforms to communicate in an intensive fashion.

The findings show that a connectivity policy should be geared toward promoting the right of all citizens to access the internet regardless of their ability to pay. Free and full access without any sacrifices of privacy should be guiding principles in policy implementation.

The behavioural theory adds a new paradigm of analysis with the assumptions of the decision maker’s cognitive biases and their repercussions on financing decisions. The aim of the study is to analyse the repercussions of these biases on the adjustment speed of firm’s capital structure toward the optimal level.

Based on a partial adjustment model, the study uses the Dynamic Panel Fractional estimator to analyse panel data from 4,990 Portuguese entrepreneurial firms.

The results show that the cognitive overconfidence bias impacts the entrepreneurial firm’s capital structure. In fact, the firms run by overconfident managers adjust more slowly than their counterparts. Furthermore, the findings suggest that entrepreneurial firms make relatively fast adjustments toward the optimal debt level and follow a hierarchical financing order in the funding process.

The results of this paper are not only interesting to the academia, but also contain practical implications for corporate, institutional and business policy and governance. First, the paper introduces a new measure of cognitive bias in optimistic managers, which is useful for current and future academic research. Also, in practical terms, the findings of the paper reveal that when a company is contemplating hiring a manager, it should consider whether they need an optimistic or non-optimistic manager based on the company's present life cycle or situation.

The current analysis extends the existing literature. The study suggests that financial classical and behavioural paradigms should not be separated, which can provide evidence to help narrow the gap between these two major perspectives.

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help counteract the effects of the growing production demand, it is essential to address the prevention of food loss and waste (FLW). Therefore, the aim of the present study is to identify the causes of FLW, model their interrelationships and determine their root causes for the Brazilian beef supply chain (SC).

16 causes are analysed using an integrated interpretive structural modelling (ISM) and matrix impact of cross-multiplication applied to classification (MICMAC) methodology. ISM identified interrelationships among the causes and MICMAC determined the root causes of FLW.

The ISM highlights the “Lack of transportation infrastructures”, “Inadequate handling”, “Poor operational performance”, “Variety of products available in supermarkets” and “Unhealthy animals and outbreaks of disease” as the most influential causes and the MICMAC classifies them as the root causes of FLW in the Brazilian beef SC.

The results provide fundamental insights for researchers, practitioners and policymakers, by exploring which causes are more influential and which are the root causes, thereby assisting the SC members in the definition of suitable strategies to mitigate FLW.

This is the first empirical analysis of the interdependencies between the causes of FLW in the beef SC.

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 aims to investigate the influence of the theory of planned behavior (TPB), innovation and sustainability, through environmental awareness, in the formation of entrepreneurial intention (EI).

Based on the alignment between theoretical axes, such as the theory of planned behavior, adaptation–innovation theory and the environmental axis of sustainability, quantitative research was developed with students from Brazilian and Spanish universities. We obtained a sample of 686 university students enrolled in courses related to management in both countries. Data analysis included exploratory factor analysis and logistic regression.

Our results revealed that the constructs of TPB (personal attitudes and perceived behavioral control) influenced EI, excluding subjective norms. Innovation had an influence on the EI of students from both countries. In Brazilians, valuing change predicts EI, highlighting the importance of flexibility. Conversely, Spaniards emphasize originality, valuing uniqueness and creativity as drivers of EI. Sustainability, via environmental awareness, did not influence EI.

With this study, we aim to encourage policies and practices aimed at higher education institutions globally, to broaden the understanding about the importance of environmental, innovative and social studies and practices aligned with the context of entrepreneurship. The final aim is to enhance social and environmental benefits generated by future entrepreneurs.