RESUMO: O objetivo deste trabalho é identificar os aspectos intangíveis (AI) que geram impactos nas empresas do sector agrícola nas diferentes fases do ciclo de vida das empresas. Para isso, utilizamos a metodologia de revisão sistemática para identificar os intangíveis no setor agrícola. Foram analisados estudos sobre o ciclo de vida das empresas para classificar o impacto dos aspectos intangíveis de acordo com a realidade das empresas. A forma como os aspectos intangíveis afetam cada fase do ciclo de vida das empresas do setor mostra que estes apresentam um impacto diferente consoante o período em que a empresa se encontra. Embora grande parte da literatura anterior tenha sugerido que os aspectos intangíveis têm efeitos positivos em diferentes variáveis de desempenho, não existem estudos científicos que abordem especificamente a importância destes aspectos intangíveis no ciclo de vida das empresas do setor agrícola. RESUMO AI (AI isso encontra desempenho

ABSTRACT: This paper identified the intangible aspects (IA) that generate impacts in companies of the agricultural sector in the different stages of the companies life cycle. This paper is based on a systematic review methodology to identify intangibles in the agricultural sector. Studies on the life cycle of companies were analyzed to classify the impact of intangible aspects according to the reality of companies. Identify the intangible aspects that impact the agricultural sector through a review of the scientific literature. How intangible aspects affect each stage of the life cycle of companies in the sector shows that they have a different impact depending on the period in which the company is located. Although, much of the previous literature has suggested that intangible aspects have positive effects on a variety of performance variables, there are no scientific studies that specifically address the importance of these intangible aspects in the life cycle of companies in the agricultural sector. ABSTRACT IA (IA located Although variables

Resumo: Esta pesquisa apresenta uma revisão sistematizada da literatura para identificar os principais fatores críticos de sucesso (FCS) que influenciam a competitividade de startups. Considerando que aspectos relacionados à competitividade devem ser o alvo das organizações, principalmente das empresas em estágio inicial, este artigo identifica uma ampla gama de fatores relacionados à competitividade das startups. Foram selecionados 36 artigos nas bases de dados Scopus e Web of Science e realizada análise bibliométrica aprofundada do corpus por meio do software VOSviewer. Foram identificados 25 FCS que influenciam a competitividade das startups e categorizados em três pontos de vista fundamentais (PVF), a saber: organizacional, humano e ambiental. O PVF organizacional abrange fatores que definem as características internas das startups. O PVF Humano, por sua vez, consiste em características do capital humano, enquanto o PVF Ambiental refere-se a fatores externos às startups e ao contexto em que atuam. Este trabalho pode ajudar profissionais e formuladores de políticas, esclarecendo-os sobre a competitividade das startups e os elementos envolvidos nisso, além de fornecer-lhes uma estrutura conceitual robusta.

Abstract: This research presents a systematized literature review to identify the main critical success factors (CSFs) that influence startups’ competitiveness. Considering that aspects related to competitiveness should be the target of organizations, especially early-stage companies, this paper identifies a broad of factors regarding startups’ competitiveness. A total of 36 articles were selected in Scopus and Web of Science databases and an in-depth bibliometric analysis of the corpus was performed using the VOSviewer software. 25 CSFs that influence startups’ competitiveness were identified and categorized into three fundamental points of view (FPVs), namely: organizational, human, and environmental. Organizational FPV covers factors that define the internal characteristics of startups. Human FPV, in turn, consists of characteristics of human capital, while the Environmental FPV refers to external factors and the startup context. This work could help practitioners and policymakers by enlightening them about startups’ competitiveness and the elements involved therein, along with providing them with a robust conceptual framework.

Abstract: Paper aims This article aims to diagnose the penetration level of Industry 4.0 technologies in cloud-based energy management systems, the Energy Cloud. Originality The energy sector is undergoing a technological evolution driven by the integration of Industry 4.0 technologies with energy management systems, making relevant the study of the permeability of these technologies with energy companies. Research method The research used two articles on Energy Cloud as a theoretical basis and a data collection carried out with managers of renewable energy companies, with the data being analyzed using the MONNA software. Main findings The results show that there is a greater understanding and use of the Internet of Things and Sensors technologies to the detriment of Cloud Computing and Big Data. Implications for theory and practice The article shows that there is a need for managers to seek greater familiarization, especially with Cloud Computing and Big Data.

Abstract Across history, transportation of people and cargo has been highly relevant for economic and social development, directly reflecting the evolution of how society is organized, culminating in the current forms of urban demographic organizations. Therefore, studies regarding urban mobility optimization are nowadays very relevant to scientific community. Hence, the main objective of this study is to identify the scientific context of urban public transport management for applications focused on Bus Rapid Transit systems (from 2009 to 2014), allowing visualization of possible opportunities to increase the level and number of contributions to these systems, through the development of a bibliometric analysis. It was possible to conclude that six articles are directly linked with this research field, establishing the theoretical framework to conduct further studies.

ABSTRACT In similar conditions of food handling and genetics, there are large differences in the final productivity of farms, resulting from inherent factors of the production system. This fact predisposes the need of studies on optimizing the rearing conditions of the farms, in order to verify the main limitations for the producers. Therefore, the present study aims to generate predictions of the swine productivity in the finishing phase, using variables related to their profiles and the production results achieved. 107 farmers belonging to a swine cooperative were considered in the study, located in 47 counties at the Taquari valley region, Brazil. Predictions were generated through the aid of neural networks, and the findings show that Artificial Neural Networks (ANN) can predict the productivity variables Feed Conversion, Mortality and Average Daily Gain for the proposed case.

Nos últimos anos, é notória a evolução das empresas brasileiras no que tange a busca por otimizar os seus resultados industriais. Estudos do Lean Institute Brasil (2012) indicam que as indústrias do Brasil são, em média, as que necessitam o maior número de horas extras para o cumprimento das operações de manufatura, fato diretamente vinculado à elevada quantidade de estoques entre processos, desperdícios na movimentação e armazenagem de materiais. Logo, o artigo objetiva desenvolver uma metodologia que viabilize o estudo da maneira na qual funciona a cadeia de suprimentos interna de empresas fabricantes de ônibus do Brasil, em específico para os seus componentes comprados, com base no método denominado Making Materials Flow, para a correção das situações elencadas, havendo, ao final, uma redução em 40% do total de itens em falta para a linha de montagem e colaborando para o aumento de 37% na produção por dia.

Recently, Brazilian companies have searched for ways to optimize the results of industrial processes. Studies by the Lean Institute Brasil (2012) indicate that the industries of Brazil, on average, require the most overtime for compliance with manufacturing operations. This is directly linked to the high amount of stocks between processes, waste handling and the storage of materials. Thus, this article aims to study the way in which the internal supply chain operates in a bus manufacturing company in Brazil. Specifically, purchased components are studied to find ways to obtain industrial gains, and a methodology called Making Materials Flow is used to correction the problems that are identified. In the end, missing items in the Assembly Line were reduced by 40%, the number of buses produced per day increased by approximately 37%.

A educação superior exerce papel fundamental no desenvolvimento econômico de determinado país, no que condiz ao atendimento das demandas da sociedade. A qualidade no contexto da educação superior tem sido tema recorrente nos últimos anos, sobretudo a partir da criação do Sistema Nacional de Avaliação da Educação Superior (SINAES), que instituiu um sistema de avaliação institucional global e integrador condizente a todas as Instituições de Ensino Superior (IES) brasileiras, sendo responsável por produzir índices para mensuração da qualidade como o Indicador de Diferença dentre os Desempenhos Observado e Esperado (IDD), o Conceito Preliminar de Curso (CPC) e o IGC, Índice Geral de Cursos, que mede o desempenho global da instituição. Diante disso, este estudo tem como objetivo analisar o IGC das universidades públicas e privadas das cinco regiões brasileiras, no intuito de caracterizar o desempenho das IES por região e verificar possíveis discrepâncias intra e inter-regionais identificando oportunidades de melhoria. Os resultados evidenciaram desempenho superior das universidades públicas em todas as regiões, tendo maior destaque as regiões norte e sudeste. Quanto à variabilidade, as regiões Centro-Oeste e Norte apresentaram os melhores desempenhos ambos condizentes ao setor privado. No entanto, para realizar uma avaliação consolidada do desempenho das IES por região faz-se necessário analisar, de forma integrada, os resultados do IGC alinhados aos demais subsistemas de avaliação que integram a avaliação multidimensional do SINAES.

Higher education plays a fundamental role in the economic development of a country in terms of meeting society's demands. Quality in higher education has been a recurring theme in recent years, especially after the creation of National Higher Education Assessment System (SINAES), which established a global and integrative institutional assessment system in line with all Brazilian Higher Education Institutions (HEIs), responsible for producing quality measurement indicators such as Indicator of Difference between Expected and Observed Performance (IDD), Preliminary Course Program Score (CPC), and General Course Index IGC, which measures the overall performance of a higher education institution. Thus, this study aims to analyze the IGC of public and private universities of the five Brazilian regions in order to describe the performance of HEIs by region, identify possible intraregional and interregional discrepancies, and suggest opportunities for improvement. The results showed that public universities outperformed private ones in all regions, particularly the north and southeast regions. Regarding variability, private universities had the best performance in the center-west and north of Brazil. However, a thorough assessment of the performance of HEIs by region requires an integrative analysis of IGC results aligned with other assessment subsystems that integrate the multidimensional assessment of SINAES.