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The purpose of this study is to systematically review the recent empirical literature on job stress and burnout among prison staff with a focus on predictors, outcomes of stress and burnout and the mediating role that stress and burnout can play between its predictors and outcomes.

The authors followed systematic literature review (SLR) protocols for the social sciences, and searches were done on two large research databases: SCOPUS and Web of Science. Articles included in the study were from January 2015 to March 2020. After the screening and eligibility processes, 48 articles met the inclusion/exclusion criteria, and 33 articles were included in the full-text qualitative analysis.

Characteristics of the samples, main authors and journals and measures used to assess stress and burnout are presented, showing that most research was done in the USA, with cross-sectional studies using similar measures of stress and burnout. Results from the qualitative analysis were organised around the main research questions. Most studies explored the antecedents of stress and burnout in the context of the job demands – resources model. Common predictors that consistently increase stress and burnout among different samples include perceived dangerousness of the job and work–family conflict. Participation in decision-making and social support consistently decrease job stress.

This paper presents a SLR on stress and burnout among prison officers in a pre-COVID-19 pandemic era, providing an important picture of the published scientific research on the topic as well as implications for theory and practice.

This paper aims to propose an approach based upon the principal component analysis (PCA) to define a contribution rate for each variable and then select the main variables as inputs to a neural network for energy load forecasting in the region southeastern Brazil.

The proposed approach defines a contribution rate of each variable as a weighted sum of the inner product between the variable and each principal component. So, the contribution rate is used for selecting the most important features of 27 variables and 6,815 electricity data for a multilayer perceptron network backpropagation prediction model. Several tests, starting from the most significant variable as input, and adding the next most significant variable and so on, are accomplished to predict energy load (GWh). The Kaiser–Meyer–Olkin and Bartlett sphericity tests were used to verify the overall consistency of the data for factor analysis.

Although energy load forecasting is an area for which databases with tens or hundreds of variables are available, the approach could select only six variables that contribute more than 85% for the model. While the contribution rates of the variables of the plants, plus energy exchange added, have only 14.14% of contribution, the variable the stored energy has a contribution rate of 26.31% being fundamental for the prediction accuracy.

Besides improving the forecasting accuracy and providing a faster predictor, the proposed PCA-based approach for calculating the contribution rate of input variables providing a better understanding of the underlying process that generated the data, which is fundamental to the Brazilian reality due to the accentuated climatic and economic variations.

This study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.

Based on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.

The model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.

The model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.

The purpose of this paper is to obtain a list of recommendations addressed by the information technology (IT) governance enablers in relation to IoT implementation. The reason behind this it is the lack of information about these instances which could the organizations to be more effective when implementing IoT.

The objectives will be obtained using the methodology – systematic literature review.

During the research, a list of recommendations was created on each IT governance enabler in relation to IoT implementation, showing the flaws that exist at the literature level for each enabler.

The state of art of this research is a creation of a list of recommendations according to IT governance enablers to be applied on an IoT implementation.

This chapter examines the professional identities of Brazilian journalists. It does so through an analysis of the growing professional autonomy of journalism from 1950 to 1990 through the life stories of 10 intellectual-journalists, individuals whose journalistic activities have crossed over into other intellectual fields.

This study applies a symbolic interactionist framework to understand how these actors managed their reputations and careers within the intellectual world. The narratives were taken from qualitative semi-structured interviews, and supported by additional research such as interviews, biographies, and articles which have been published about their lives.

The life stories were compared to the extensive structural changes affecting the world of journalism and the world of intellectuals in Brazil. This comparison revealed gaps between these two spheres of practice, within which the ambivalent form of journalists’ identities have been constructed.

This chapter offers two contributions to the study of Brazilian journalists. From a theoretical and methodological viewpoint, it advances beyond other studies that focus more on the prevailing representations of journalists’ professional identities and their role in society. From an empirical standpoint, it describes the complex negotiations between the worlds of journalism, culture and politics. This chapter also reexamines the current dominant explanation for the changes in Brazilian journalism. It shows that building careers and new levels of interpersonal cooperation for intellectuals and journalists has been a slow process. Ultimately, this development has left some behind, especially those actors stretched between multiple professional identities such as those who self-identify as intellectual-journalists.

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.

Vocational Education and Training (VET) prepares citizens to participate in the labour market, but requires continuous development to adapt to the impacts of global trends, to become more attractive and relevant, to support lifelong learning, to encourage creativity, innovation and entrepreneurship, and to become more inclusive. European legislation and structural funds improved VET for people with SEN and/or disabilities, for example in the case of the European qualifications framework (EQF) and the national qualifications frameworks (NQFs). NQFs often lead to the development of a national qualifications catalogue, specifying training standards for all, including people with SEN/disabilities, yet with the challenge to achieve the right balance between the flexibility and the standardisation requirements of programmes and procedures. A recent European Agency project investigated the key aspects of VET programmes for learners with SEN and/or disabilities in 26 European countries and identified success factors that contributed to auspicious VET and transition to employment for learners with SEN and/or disabilities. These factors will finalise this chapter showing, in an inclusive design perspective, that they benefit all learners.

This chapter examines the development of an entrepreneurial ecosystem and the knowledge transfer process involved, in the tourist municipality of Lagos, Portugal. Participatory action research is used to identify issues, antagonistic forces, and the system of governance which emerged in the creation of the entrepreneurial ecosystem. The different roles of both public and private actors were identified. Despite a deficit of entrepreneurial culture and social capital, the main results show that participatory action research encouraged knowledge transfer among political actors, entrepreneurs, and academics, leading to the implementation of the basic conditions for an entrepreneurial ecosystem dynamic.

The purpose of this paper is to propose a systematic study to formulate the cost of prototypes manufactured through rapid prototyping (RP) an fused deposition modeling (FDM) 3D printer in a university lab.

The paper has a theoretical‐conceptual approach. This approach is carried out by studying and proposing a methodology for calculating the cost of pieces prototyped an FDM 3D printer.

This work originated from a gap in literature to establish a way to calculate the price of RP pieces from FDM 3D printers in universities' labs, since no similar work has dealt with this RP technology and has not taken into account the costs of post‐processing step. The results suggest that the formulation may be used to calculate price of prototyped pieces through FDM 3D printer.

The systematic approach proposed by this research to formulate cost for the RP pieces is initially oriented only to modelling technique by FDM 3D printer. Considerations on operator's and designer's hourly rates are those practiced in Brazil, which may differ from other countries.

The paper's scientific contribution is a specific formulation to calculate price of prototyped pieces through FDM considering the post‐processing way, which differs from previous published works. The formulation implies that the execution times and the amount of material used were obtained by internal calculation of the tested machine. This is different from what has been already studied by previous literature which considers an index that encompasses the machine operation cost in function of time. It is aimed that the results obtained here are accurate, since error margins of the process variables are reduced.