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The purpose of this paper is to assess next hour load forecast in medium voltage electricity distribution.

The methodological approach used in this paper, is based on a regressive method – artificial neural network. A real life case study is used for illustrating the defined steps and to discuss the results.

The presence of a de‐regulated environment reinforces the need of short‐term forecast algorithms (STLF). Actions like network management, load dispatch and network reconfiguration under quality of service constraints, require reliable next hour load forecasts. Methodological approaches based on regressive methods such as artificial neural networks are widely used in STLF, with satisfactory results. The construction of an “efficient” artificial neural networks goes through, among other factors, the construction of an “efficient” input vector (IV), in order to avoid over fitting problems and keeping the global simplicity of the model. The explanatory variables normally used, are grouped in two major classes, endogenous and exogenous. The endogenous variables are load values in past instants, and the exogenous variables are normally climatic. The main findings with this kind of vector presents satisfactory results compared to other proposals in the literature.

This paper makes use of a procedural sequence for the pre‐processing phase that allows capturing some predominant relations among certain different sets of the available data, providing a more solid basis to decisions regarding the composition of the IV. To deal with load increasing during the winter period, the forecast average daily temperature was used in order to produce an indicator of the daily load average for the forecast day. This information brings more accuracy to the model.

The purpose of this study is to evaluate whether the perceptions of cleanliness and organization of the point of sale, hygiene and training of those who serve the public (service) and healthiness of the products, constitute a base for the perception of the quality of food sold in the street. Studies about development of street food trade have gained relevance in academic debate because of its social and economic significance. Usually, aspects related to sanitary issues are presented, and the factors that influence consumer perception regarding quality of food consumed are less explored. This was the focus of this work. The relationships among possible predecessors – attendance, cleanliness, organization and healthiness – were tested, all acting together, influencing the variable perception of product quality. Competitive models were tested because of theoretical divergences regarding the relationship between quality and healthiness, not yet totally clear in the literature.

A quantitative survey was carried out in the city of Diadema (SP, Brazil), getting 603 respondents, with data and theoretical models analyzed by structural equation modeling.

Results indicated that organization variable is not significant regarding perception of product quality, while attendance and healthiness directly affect this perception. On the other hand, cleanliness influences perceived healthiness and this, in turn, reinforces perception of product quality.

The focus of street food traders should be on clerk cleanliness and politeness (characteristics related to the service) that end up influencing the perception that the consumer develops regarding healthiness (characteristic related to product quality).

Usually research studies on this theme include only aspects related to sanitary and safety issues, and those which focus on consumer perception of food quality cover conventional outlets such as bars and restaurants. There are few ones performed as in this study that analyze street food consumer behavior regarding his/her perception of quality, cleanliness, care received, among others.

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 analyse the extent of online social responsibility (SR) information disclosure by Portuguese municipalities and to identify related determinant factors, based on Institutional Theory and Legitimacy Theories.

A content analysis was performed on webpages from 60 sampled municipalities, and an information disclosure index was created.

Descriptive statistics obtained indicate the Total Disclosure Index (TDI) value was 0.46. The Economic Information sub-category exhibits the highest value (0.66), followed by the Social and Environmental Information categories (0.61 and 0.36, respectively).

The multivariate analysis results indicate that LA21 implementation the existence of tax burdens, the characterisation of a municipality as urban and environmental/SR certification application positively influence SR information disclosure. TDI is negatively affected by the existence of an inactive population (i.e. by the percentage of individuals ≤19 and ≥65 years of age).

The purpose of this paper is to examine, through a qualitative lens, how community elder abuse and the ageing process are represented in the older adults’ narratives reporting abuse perpetrated by family members.

A qualitative study of a convenience sample of 22 interviews from 24 older adults (two couples) aged 60 years or older who had experienced one or more types of abuse and had sought help about the victimisation experience. A general inductive approach of thematic content analysis was employed.

The four main emergent themes related to the passage of time or the perception of becoming old within the process of abuse were: abuse grown old, abuse after entering later life, vulnerability to abuse and responses to abuse. Ageing was found to be associated with an increase vulnerability to abuse and an important element in shaping how older adults experience, report and cope with victimization. The social and contextual issues of being older also influenced the decision of ending (or not) the abuse and the victims’ repertoire of responses.

Despite the little suitability of chronological age to define and delimit elder abuse, understanding the phenomenon demands the recognition of ageing (both as a process and as a product) in order to more accurately identify aetiology processes and develop interventions.

In 2008, a phenomenon emerged in online retail that attracted the attention of many people, creating a new virtual model of commerce. This phenomenon was called online group buying and arrived in Brazil in 2010. The purpose of this study was to identify the factors that affect satisfaction and loyalty to group buying sites.

Through structural equation modeling, the relationships between the attractiveness of discount rates, service quality, popularity, online brand image, antecedent word of mouth (WOM), creativity and trust in relation to consumer general satisfaction, declared loyalty, repurchase intention and positive WOM were observed. A total of 727 valid questionnaires were collected from online group buyers to test the 11 hypotheses proposed in this study.

The main contribution of this study was that it identified the strong influence of service quality, popularity and online brand image on consumer general satisfaction, and the influence of service quality, trust and general satisfaction on repurchase intention. It also identified the influence of trust, creativity and general satisfaction on declared loyalty, and finally, the influence of trust and general satisfaction on positive WOM.

Because of the extensive and robust model, other statistical interactions among the constructs were gauged. It is possible that new structures and paths for alternative models can be proposed in the future with the inclusion of new relationships not analyzed in the present study. Furthermore, future studies should consider testing the generated model in other countries, as the particular features of collective purchasing in Brazil should be taken into account.

In addition to being concerned with the attractiveness of discounts, marketing managers of group buying sites should concentrate their efforts on strengthening perceived quality, image, trust and the creativity of the site to ensure customer loyalty.

The online group buying business model that was established in Brazil differs significantly from the American and European models. As many online group buying studies have been conducted in these markets, Brazilian consumers will enjoy substantial gains in the quality of the service provided by collective purchasing sites through the development of actions that focus on improving the factors that affect these consumers.

The originality of this study lies in the development of a single model that tests a set of factors gauged separately in other studies related to online purchase behavior in a broader perspective.

Entrepreneurial orientation (EO) is highly emerging in the management literature. However, recent studies highlight the necessity to associate with reflections on this theme, usually approached from an economic perspective, propositions also derived from relational approaches. This paper aims to investigate associations between EO and social networks, specifically about the still little explored relational coupling/decoupling theme.

This paper provides an empirical and qualitative study of religious entrepreneurs. A total of 18 pastors responsible for creating and leading independent neo-Pentecostal churches located in Belo Horizonte/Brazil, selected using the snowball technique, participated in this qualitative, case-study research. Two analysis categories guided data collection: pastors’ EO (behaviors suggestive of their innovativeness, proactivity, competitive aggressiveness, risk-taking and autonomy) and churches’ social framework (the resources and attributes that pastors obtain from their institutional structure).

The study concludes that pastors combine attributes representing their EO and their social structure in developing their religious endeavors.

Among the limitations are the restricted use of semi-structured interviews as a data collection source and the absence of data proving the churches’ performance.

The paper contributes by showing that entrepreneurs can influence the structure of their networks by using EO; proving that networks influence pastors’ EO; revealing recursivity between EO and networks; emphasizing a relational dimension of the EO construct and presenting new theoretical propositions that can be explored and tested in future investigations.

This paper aims to describe the obtainment of Ti-6Al-4V parts with a hierarchical arrangement of pores by additive manufacturing, aiming at designing orthopedic implants.

The experimental methodology compares microstructural and mechanical properties of Menger pre-fractal sponges of Ti-6Al-4V alloy, manufactured by laser powder bed fusion (LPBF) and electron beam powder bed fusion (EBPBF), with three different porosity volumes. The pore arrangement followed the formation sequence of the Menger sponge, with hierarchical order from 1 to 3.

The LPBF parts presented a martensitic microstructure, while the EBPBF parts presented an α + ß microstructure, independently of its wall thickness. The LPBF parts presented higher mechanical resistance and effective stiffness than the EBPBF parts with similar porosity volume. The stiffness values of the Menger pre-fractal sponges of Ti-6Al-4V alloy, between 4 and 29 GPa, are comparable to those of the cortical bone. Furthermore, the deformation behavior presented by the Menger pre-fractal sponges of Ti-6Al-4V alloy did not follow the Gibson and Ashby model's prediction.

To the best of the authors' knowledge, this is the first study to obtain Menger pre-fractal sponges of Ti-6Al-4V alloy by LPBF and EBPBF. The deformation behavior of the obtained porous parts was contrasted with the Gibson and Ashby model's prediction.

In recent years, especially after the COVID-19 pandemic, home textile production orders decreased significantly. This sudden drop in production has increased industry competition, making customer satisfaction more challenging. As a result, it has become imperative for the industry to deftly navigate such ongoing challenges.

This study examines textile production efficiency methodically. Customer requirements like quality, on-time delivery, better working conditions, cost-effectiveness and facility safety audits are understood first. Quality function deployment (QFD) turns client requirements into technical requirements. Prioritise and analyse risks using Monte Carlo simulation and Pareto charts. Consequently, experts and literature propose corrective measures, which are tested in a pilot run to see how they affect production.

QFD, define, measure, analyse, improve and control (DMAIC) and Monte Carlo simulation were used to reduce high-priority risks and meet client requirements in this study. The house of quality helped relate customers’ requirements and technical requirements. Monte Carlo simulation has also improved risk prioritisation by providing a flexible mathematical structure for identifying and managing the most important risks.

This study is novel in the way it applies this integrated approach to the understudied home textile sector. Unlike traditional DMAIC, this study introduces a novel matrix encompassing all defects. This study offers a data-driven approach to improve product quality, meet customer expectations and reduce prioritised risks in home textile manufacturing.

This paper aims to discuss how trade union leaders deal with the implementation of Industry 4.0 (I4.0). The study is circumscribed to the Brazilian automotive sector and came from a human-centric (Industry 5.0) concern related to issues such as organisational learning, knowledge, innovation and workplace learning.

Case studies in two truck plants related to union participation during new product and process implementation based on Industry 4.0. Semi-structured interviews with union leaders from both plants were conducted to determine the subtle similarities and differences between the two polar types.

The findings pointed out that human resources and workplace learning must be reviewed to prepare workers to face I4.0. Four themes are explored: modernisation origins; negotiation process; workers’ concerns; and results and lessons learned. The findings highlight concerns about employees and job loss; replacement of workers by technological devices; workplace learning and the trade union perspective; and influence of the country’s economic situation on I4.0 implementation in social systems dependent on worker tacit knowledge.

This paper presents labour union leaders’ perspectives related to the impact of I4.0 and contributes to a better understanding of industry-worker workplace learning.