Resiliencia en el área de gestión y negocios: un análisis bibliométrico

[EN] The purpose of this study is to map the recent scientific literature on resilience and analyses the most substantial contributions to the advancement of studies in the business and management research field. A bibliometric analysis from the Web of Science / Social Sciences Citation Index database – covering the period 2014 until May 2021 – was carried out. Bibliometric techniques and tools were applied, such as co-citation counts and historiography generated by HistCiteTM, and bibliographic coupling and cartography from VOSviewer (visualization of similarities). As result, 637 articles were identified, which were published in 114 journals and written by 1607 authors affiliated to 821 institutions from 63 countries. This study provides new information not previously reviewed, for example, most influential journals and articles in recent years. The analysis allowed elaborating a map that provides clues for future studies on resilience in the business and management research field.[ES] El objetivo de este estudio es analizar la producción científica reciente sobre resiliencia y las principales contribuciones al avance de la investigación del tema en el área de gestión y negocios. Fue realizado un análisis bibliométrico en la base Web of Science / Social Sciences Citation Index —desde el inicio de 2014 hasta mayo de 2021— mediante recuentos de citas e historiografía de HistCite; y acoplamiento bibliográfico y cartografía de VOSviewer (visualización de similitudes). Se identificó un conjunto de 637 artículos publicados en 114 revistas y escritos por 1607 autores afiliados a 821 instituciones de 63 países. Los resultados aportan también nuevas informaciones sobre las revistas y los artículos más influyentes de los últimos años. El análisis permitió generar un mapa de la literatura emergente, señalar temas asociados y caminos para futuras investigaciones sobre resiliencia en el área de gestión y negocios.This study was carried out within the scope of the Human Factors Project (HF Project) of the Pontifical Catholic University of Rio Grande do Sul (PUCRS), funded by the Libra Consor tium, with support from the ANP (Brazilian National Agency for Petroleum, Natural Gas and Biofuels) associated with the investment of resources from the R,D&I Clauses - Regulation No. 03/2015 (process 2019/00105-3)

Materialismo: a influência dos valores culturais e das variáveis demográficas

Existe uma falta de consenso sobre os motivadores do comportamento materialista. Enquanto alguns estudos mostram que este comportamento pode gerar relações de menor qualidade e menores índices de bem-estar pessoal e físico, outros apontam que pode auxiliar na construção da identidade das pessoas. Com o objetivo de analisar a influência dos valores culturais e das variáveis demográficas no comportamento materialista, foi realizada uma pesquisa descritiva com 300 consumidores brasileiros. Os resultados evidenciaram a Autopromoção apresentou uma relação positiva na dimensão felicidade e sucesso do materialismo. A Abertura à Mudança evidenciou uma relação negativa com a dimensão felicidade e positiva com a dimensão sucesso. A Autotranscendência mostrou uma relação positiva com a dimensão felicidade e negativa com a dimensão sucesso. A Conservação apresentou uma relação positiva com ambas as dimensões. Por fim, a idade e a renda apresentaram influência apenas sobre a dimensão felicidade do materialismo

Fourier transform infrared spectroscopy (FTIR) and multivariative analysis for identification of defferent vegetable oils used in biodiesel production

The main objective of this study was to use infrared spectroscopy to identify vegetable oils used as raw material for biodiesel production and apply multivariate analysis to the data. Six different vegetable oil sources—canola, cotton, corn, palm, sunflower and soybeans—were used to produce biodiesel batches. The spectra were acquired by Fourier transform infrared spectroscopy using a universal attenuated total reflectance sensor (FTIR-UATR). For the multivariate analysis principal component analysis (PCA), hierarchical cluster analysis (HCA), interval principal component analysis (iPCA) and soft independent modeling of class analogy (SIMCA) were used. The results indicate that is possible to develop a methodology to identify vegetable oils used as raw material in the production of biodiesel by FTIR-UATR applying multivariate analysis. It was also observed that the iPCA found the best spectral range for separation of biodiesel batches using FTIR-UATR data, and with this result, the SIMCA method classified 100% of the soybean biodiesel samples

Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production

The main objective of this study was to use infrared spectroscopy to identify vegetable oils used as raw material for biodiesel production and apply multivariate analysis to the data. Six different vegetable oil sources—canola, cotton, corn, palm, sunflower and soybeans—were used to produce biodiesel batches. The spectra were acquired by Fourier transform infrared spectroscopy using a universal attenuated total reflectance sensor (FTIR-UATR). For the multivariate analysis principal component analysis (PCA), hierarchical cluster analysis (HCA), interval principal component analysis (iPCA) and soft independent modeling of class analogy (SIMCA) were used. The results indicate that is possible to develop a methodology to identify vegetable oils used as raw material in the production of biodiesel by FTIR-UATR applying multivariate analysis. It was also observed that the iPCA found the best spectral range for separation of biodiesel batches using FTIR-UATR data, and with this result, the SIMCA method classified 100% of the soybean biodiesel samples

Fourier transform infrared spectroscopy (FTIR) and multivariative analysis for identification of defferent vegetable oils used in biodiesel production

The main objective of this study was to use infrared spectroscopy to identify vegetable oils used as raw material for biodiesel production and apply multivariate analysis to the data. Six different vegetable oil sources—canola, cotton, corn, palm, sunflower and soybeans—were used to produce biodiesel batches. The spectra were acquired by Fourier transform infrared spectroscopy using a universal attenuated total reflectance sensor (FTIR-UATR). For the multivariate analysis principal component analysis (PCA), hierarchical cluster analysis (HCA), interval principal component analysis (iPCA) and soft independent modeling of class analogy (SIMCA) were used. The results indicate that is possible to develop a methodology to identify vegetable oils used as raw material in the production of biodiesel by FTIR-UATR applying multivariate analysis. It was also observed that the iPCA found the best spectral range for separation of biodiesel batches using FTIR-UATR data, and with this result, the SIMCA method classified 100% of the soybean biodiesel samples

Chemical and nutritional characterization of raw and hydrothermal processed jambu (Acmella oleracea (L.) RK Jansen)

Jambu (Acmella oleracea (L.) R.K. Jansen) is a neglected plant native to the Amazon Biome. Although it is very consumed in the north of Brazil, little is known about its chemical and nutritional composition. Thus, this study aimed to characterize jambu and to evaluate the effects of the boiling process on its chemical composition. The proximate composition, minerals, total amino acids, fatty acids levels, and phytosterols were determined. In comparison with conventional vegetables jambu presented higher levels of protein (24.01%), ash (10.92%), total fiber (62.61%) some mineral such as Ca (2551.56 mg/100 g), Mg (734 mg/100 g) and Cu (2.09 mg/100 g), and amino acids such as asparagine (32.01 mg/g), glutamic acid (28.26 mg/g), valine (14.55 mg/g) and isoleucine (14.19 mg/g). A significant reduction was observed in carbohydrates, total dietary fibers, minerals, unsaturated fatty acids, and in some amino acid levels after the boiling process, with an increase in ash content, protein, and saturated fatty acids in the heat-treated jambu. Lipids, phytosterols, and some amino acid levels were not significantly affected by the hydrothermal process. Thus, this study has shown that raw and processed jambu may be good alternatives for conventional vegetables, even with nutrients losses during boiling11611441152CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ140470/2014-