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This study aims to investigate the risks associated with managing the dispersed knowledge in inter-organizational arrangements for innovation. Specifically, it proposes a model to analyze the knowledge management risks in open innovation, applied in four steps.

Initially, the authors carried out a systematic literature review (SLR) on the concepts that connect knowledge management, inter-organizational arrangements for innovation and risks. The SLR results led to a complementary theoretical review on the conceptual elements in question. Based on the findings, the authors have developed a model to analyze the knowledge management risks in open innovation, which was validated by experts. It was then studied the case of GOL Airlines, a company that uses innovation to overcome the paradox between low-cost and full service in the commercial air transportation industry, considering the application and adjustment of the proposed model.

Open innovation is one of the inter-organizational arrangement types most applied in the context of innovation. Relations between agents are the primary sources of risks when managing the dispersed knowledge in these arrangements. The authors have found five main risks associated, namely, risk of the innovative effort does not reach the expected objective, risk of knowledge transfer being ineffective, risk of misappropriation of value, risk of dependency (lock-in) and risk of relations.

The practical implication is the proposition of a procedure for applying the model to analyze the knowledge management risks in open innovation, which makes it a prescriptive model for identifying risks. The proposed model is described in four steps, namely, to identify the agents in the environment of the value of open innovation; to identify the types of relations of each agent; to consider the barriers to knowledge management in innovation; and to assess the risks considering the possibilities derived from the agents, their relationships and the barriers. The model is applied in the GOL case and the results are presented.

First, it uses a novel approach to investigate open innovation while studying its risks. This approach considers the knowledge is dispersed and flows from one organization to another through a combination of relations inside the environment of value where the open innovation materializes. Second, it contributes to theory development by opening a research front that fuses four areas: risk management, knowledge management, innovation and inter-organizational arrangements. Third, this paper proposes a theoretical model and presents its operationalization. The study aims to make an impact beyond academia and uses a case study to illustrate the model application in a real and interesting open innovation project to support the business model at GOL Airlines.

Journalists construct a public image through each of their produced texts. Regarding cinema journalism, the feature stories are the result of multiple semiotic relationships established between the cinematographic products, the artists involved with the cinema production, and the possible expectations of the readers related to the journalistic texts, as well as viewers of the films and the depicted artistic contexts. A semiotic analysis of a feature story on the documentary Todos os Paulos do Mundo, written by the journalist Luiz Carlos Merten, reveals the construction of what semiotics calls signic actions. Such actions recover the film creation process and its produced meaning related to contemporary Brazilian production of cinematography.

This study, a practice forum article, aims to presents the lessons learned and the development of a discrete event simulation model to support the funerary system management of São Paulo City, Brazil, during the COVID-19 pandemic.

A discrete event simulation model was developed by the authors as soon as the pandemic affected the city of São Paulo, Brazil. Based on the model, several scenarios with varying minimum, median and peak demands (i.e. the number of deaths) were tested and evaluated. The lessons learned from the scenario analysis and implementation of the decision-making of the city government of São Paulo are discussed in this article.

The lessons learned about the coordination, inventory management and other operational characteristics in funerary logistics during the pandemic are shared with a model, which quantifies the demand for vehicles, coffins, graves and teams in the cemeteries in different simulated scenarios.

The São Paulo State Civil Defense used this information during the pandemic to prepare the funerary system of the municipality.

The study presents methods to mitigate the sanitary, environmental and psychosocial problems related to the funerary system.

Studies on funerary systems are scarce. This study presents the results that supported the dimensioning of the funerary system during the pandemic and operational lessons about the logistics to support decision-making in future events.

The purpose of this paper is to analyze the innovation process of organizations representing the main sectors of Brazilian economic activity.

The literature review focuses on analyzing the innovation process characteristics regarding the innovation types. The authors carried out interviews with executives and managers in charge of innovation at the leading large companies in the respective sectors analyzed. The data analysis of this qualitative research was structured in three steps. The first step is the analysis of data collected for encoding, the second step, the summarization of the common points presented by the companies in each sector and, finally, the interpretation of these data, aided by triangulation from secondary data that support the analysis of the collected primary data.

The main contribution of this study is to characterize the innovation process of organizations representing the main sectors of the Brazilian economy, with a classification regarding the sectoral innovation standard.

The authors’ intent is that the paper can contribute with a comparative analysis among companies of the same sector and, subsequently, among companies of the different surveyed sectors. Thus, the characterization aims to present the companies’ innovation process and the comparative analysis aims to verify the innovation sectoral patterns. In addition, as implications for management practice, some strategies for better knowledge management in the organization are suggested for each type of innovation.

The main theoretical contribution focuses on the development of a conceptual model that structures the analyzed variables of the constructs “innovation process” and “innovation sectoral patterns”, allowing not only the characterization but also the comparative analysis of the representative organizations present in the sample.

This paper aims to identify and to understand how current data portals comply with open government data (OGD) principles in the context of Brazilian local government.

In this paper, we assessed a sample of 561 municipalities from a universe of interest of 3,052 ones expected to disclose information using the internet. As part of our methodology, the authors analyzed the required items for active disclosure and the technical requirements, all enforced by Brazilian law and close to OGD principles which are the focus of analysis of the authors.

The findings generally show the vast majority of assessed data portals did not comply with the basic requirements stated by national law, consequently not complying with OGD principles, and prevent society from benefiting from government data openness. The authors also found arguments that the national law should explicitly reproduce OGD principles, as they demonstrate clearer understanding about the global context of open data.

The contributions of this work can be used to plan public data openness actions over the internet and envision effective accountability and public participation with clearer legislation and with the effective implementation of OGD principles in data portals.

The design of electrical machines includes the computation of several requirements and, in general, the improvement of one requirement implies in a degradation of another one: this is a typical multi‐objective scenario. The paper focuses on the multi‐optimization analysis of a special switched reluctance motor.

Two design requirements were analyzed: the average torque and the ripple torque. The electromagnetic field computation was performed by the finite element method and the torque was computed by the Coulomb's Virtual Work for several positions. This allows us to calculate the average torque and the ripple torque. Three different methods were used to obtain the Pareto set: a min‐max approach, the non‐dominated sorting genetic algorithm (NSGA) and the strength Pareto evolutionary algorithm (SPEA). In order to save the computation time, the objective functions (the average torque and the ripple torque) were replaced with surrogate functions. Kriging models were used as surrogate functions.

The evolutionary methods (NSGA and SPEA) have a similar performance. The min‐max has not the same performance. It could have the same performance only if some unconstrained optimization problems are solved before the multi‐objective optimization. The maximum relative deviation between the approximated function (Kriging model) and the same value calculated by the finite element method was equal to 0.8 percent for the average torque and 1.2 percent for the ripple torque. The ripple torque, considered as the difference between the maximum and the minimum values in the 0‐90° region, has reduced while its frequency has doubled. This last characteristic provides a better mechanical stability for the driven load because its inertia softens the ripple effects at the double the frequency. The optimized prototype presents higher torques in the region θ<0° and this allows the electronic drive to switch in a broader range rendering the motor operation more flexible.

The use of surrogate functions save the computation time with high accuracy. This is very important on the design of electrical machines, a typical multi‐objective scenario. Evolutionary methods seem to be well suited to solve this class of problem.

A sustainable transportation system should represent a win-win situation: minimizing transport's impact on the environment and reducing natural disasters' effects on transportation. A well-distributed set of rain gauges is crucial for monitoring services in smart cities. However, those services should consider the uncertainties about the registers of rainfall impacts. In this paper, the authors present a case study of optimal rain gauge location based on an actual database of rainfall events with impacts on urban mobility in the city of Sao Paulo (Brazil).

This paper presents a maximal covering location formulation and proposes a robustness analysis considering spatial location perturbations.

In this case study, the robustness of the objective function is above 99.99%. The robustness for the number of covered demand points is 88.93%, and the frequency associated with every candidate is between 11.71% and 69.49%.

Incorporating spatial uncertainties on coverage problems is essential to provide stakeholders more realistic supporting tools and to draw different possible scenarios.

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 evaluate the predictive capacity of market risk estimation models in times of financial crises.

For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.

The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.

Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.

Brazilian federalism was important in the political game of combating the pandemic for three reasons. First, Brazil's public health system depends heavily on intergovernmental relations between Union, states, and municipalities because there is a policy portfolio based on federative cooperation. Second, the subnational governments' autonomy to act against COVID-19 was constantly questioned by the Federal Government – the conflict between the President and governors was a key piece in all health policy. Finally, states and local governments were primarily responsible for policies to fight against pandemic, but the absence and/or wrong measures taken by the Federal Government (such as the delay in purchasing vaccines) generated intergovernmental incoordination, increased territorial inequality, and reduced the effectiveness of subnational public policies, especially those linked to social isolation. In this context, Brazilian federalism played a dual role in the pandemic. On the one hand, the federative structure partially succeeded in averting an even worse scenario, mitigating the impact of mistaken presidential decisions. The role of subnational governments, especially of the states, was critical as a counterweight to federal decisions. On the other hand, the President actively acted against governors and mayors and, above all, sought to weaken intergovernmental articulations within the Unified Health System (SUS), the federative model designed three decades ago. One could say that the federative actors, such as the Supreme Court (Supremo Tribunal Federal – STF) and subnational governments, were the main obstacles for the Bolsonarist antiscientific agenda. The success of this reaction to President Bolsonaro's negationist populism was partial, but the results of the fight against COVID-19 would have been much worse without these federalist barriers.