Sandra Cristina de Oliveira

This study investigates the perceptions of Brazilian researchers in agronomy regarding the order of authorship and the role of the corresponding author in scientific publications utilizing a survey of 380 responses. Key findings reveal that most researchers see the first author as the primary executor of the research, and the last author as the leader. The study also highlights a significant association between authorship order, research credibility, and citation impact, with differing views based on the type of institutional affiliation. In addition, the survey shows a preference for the corresponding author to be either the first or the last author, emphasizing their role in communication with journals. The results suggest that while the authorship order is crucial for recognizing contributions, the corresponding author’s role is primarily seen as a formality. The study calls for more precise guidelines on authorship practices and further research into authorship dynamics in different scientific fields.

Introdução: Este estudo objetiva entender a ordem de autoria e a posição do autor correspondente entre os pesquisadores brasileiros da área da Agronomia. Método: Aplicação de questionário, o qual foi respondido por 380 pesquisadores brasileiros vinculados a instituições acadêmicas e não acadêmicas que pesquisam em Agronomia. Resultados: Observou-se que quase 84% dos pesquisadores estão distribuídos homogeneamente nas três faixas etárias centrais (de 30 a 59 anos), a maioria deles doutores do sexo masculino, que entendem que a ordem da autoria frequentemente reflete diferentes papéis e funções no desenvolvimento de um trabalho científico. A opinião dos respondentes indica que a posição de autor de correspondência é assumida predominantemente pelo Supervisor/Orientador da pesquisa, seguida pelo autor principal. Conclusão: Observou-se que o aluno de pós-graduação ou pesquisador responsável pela maior parte da pesquisa posiciona-se como primeiro autor, e a posição de último autor é destinada ao orientador, coordenador da pesquisa ou chefe do laboratório. O autor correspondente geralmente é o último autor, já que é o pesquisador que, além de conhecer a pesquisa, possui vínculo com a instituição onde a pesquisa se desenvolveu e, em muitos casos, é o responsável pelo financiamento.

Introdução: Este estudo objetiva entender a ordem de autoria e a posição do autor correspondente entre os pesquisadores brasileiros da área da Agronomia. Método: Aplicação de questionário, o qual foi respondido por 380 pesquisadores brasileiros vinculados a instituições acadêmicas e não acadêmicas que pesquisam em Agronomia. Resultados: Observou-se que quase 84% dos pesquisadores estão distribuídos homogeneamente nas três faixas etárias centrais (de 30 a 59 anos), a maioria deles doutores do sexo masculino, que entendem que a ordem da autoria frequentemente reflete diferentes papéis e funções no desenvolvimento de um trabalho científico. A opinião dos respondentes indica que a posição de autor de correspondência é assumida predominantemente pelo Supervisor/Orientador da pesquisa, seguida pelo autor principal. Conclusão: Observou-se que o aluno de pós-graduação ou pesquisador responsável pela maior parte da pesquisa posiciona-se como primeiro autor, e a posição de último autor é destinada ao orientador, coordenador da pesquisa ou chefe do laboratório. O autor correspondente geralmente é o último autor, já que é o pesquisador que, além de conhecer a pesquisa, possui vínculo com a instituição onde a pesquisa se desenvolveu e, em muitos casos, é o responsável pelo financiamento.

This study investigates how e-business capabilities and digital marketing strategies jointly influence business performance in the e-commerce industry, which has experienced unprecedented growth driven by technological advancements and changing consumer behavior. E-business capabilities encompass the use of technology and digital infrastructure, while digital marketing strategies are employed to attract and retain online customers. The study examines the effect of e-business capabilities through digital marketing strategies on the customer satisfaction and loyalty of UAE e-commerce industry. The research is descriptive and explanatory, and uses a structured 5-scale Likert questionnaire to collect data from the HR managers of 135 e-commerce companies based in UAE. The statistical analysis is performed using structural equation modeling. The findings highlight the significant relationship of the study variables. Consequently, the results of this study provide valuable insights for e-commerce businesses, elucidating the need to invest in robust e-business capabilities to support effective digital marketing efforts. Additionally, the research underscores the significance of tailoring digital marketing strategies to align with specific business objectives and customer segments. The study also contributes to the literature on digital transformation, by demonstrating how e-business capabilities and digital marketing strategies can enable e-commerce firms to adapt and thrive in the dynamic and competitive digital environment.

Energy is a resource that has become indispensable to contemporary life, as it is present in everyday life in all areas. However, this important resource is limited, and during its production, it has great potential to generate socio-environmental problems. Since buildings are one of the main energy consumers, using energy efficiency to soften consumption is essential. To this end, Brazil has the Technical Quality Regulation for the Energy Efficiency Level of Commercial, Service and Public Buildings (RTQ-C), developed by the National Electricity Conservation Program (PROCEL), which grants the evaluation of energy efficiency in buildings. Nevertheless, the RTQ-C includes only five levels of classification and does not consider the uncertainties associated with the analysis parameters. To broaden this assessment, fuzzy logic is an option that provides the determination of sub-levels and more scope for the classification. Thus, the present work aims to propose a fuzzy logic-based model that can assess the energy efficiency of buildings deriving from the RTQ-C parameters. A case study is used to show the applicability and functionality of the proposed model. Using the methodology provided by the RTQ-C manual and by fuzzy logic, it was possible to arrive at a rule base, which provides a more realistic perspective on the energy assessment of a building. The results showed that fuzzy modeling is feasible and more comprehensive, it can be used in other buildings and research with similar characteristics, as well as by managers of public and private companies that seek to evaluate, manage, and make more accurate decisions regarding the energy efficiency of buildings under their responsibility, bringing economic, social, and environmental benefits.

A inovação tecnológica é um dos fatores diferenciais à competitividade do agronegócio brasileiro, e pode influenciar de forma relevante a produtividade e a sustentabilidade de uma cultura. A produção de amendoim tem grande relevância para o Estado de São Paulo, uma vez que esse estado é responsável por cerca de 90% da produção nacional. Assim, dada a expressividade e importância dessa cultura para o agronegócio paulista, o objetivo deste trabalho foi caracterizar a infraestrutura tecnológica de produção empregada pelos produtores de amendoim da região Oeste Paulista, a qual detém a maior produção de amendoim do Estado. Foi aplicado um formulário a uma amostra de produtores dessa região, considerando os seguintes parâmetros associados à adoção tecnológica na safra 2022/23: máquinas e equipamentos; insumos; armazenagem; e gestão. Os dados foram analisados usando estatística descritiva. Os resultados apontaram que a maioria dos produtores de amendoim pesquisados apresentou produtividade média acima da média do Estado na referida safra. Além disso, cerca da metade dos respondentes utiliza pulverizador automotriz, GPS e corte de secções no pulverizador, e todos possuem colhedoras. Observou-se ainda que quase 93% deles fazem análise anual de solo e 86% investem na aplicação de macrobiológicos. Ademais, todos os respondentes utilizam secador e armazém para a manutenção do amendoim, possuem assistência agronômica de cooperativa/revenda e contam com um profissional para realizar a gestão do negócio. Dessa forma, mostrou-se um cenário preliminar sobre a adoção de tecnologias da Agricultura 4.0 no cultivo do amendoim na região Oeste Paulista, e observou-se um potencial para a utilização de determinadas tecnologias que poderão proporcionar uma produção mais limpa e sustentável, além de informações úteis para a tomada de decisão dos atores da cadeia produtiva do amendoim.

Brazil is a benchmark in sugarcane production, with the state of São Paulo standing out as the largest Brazilian producer. However, for sugarcane suppliers and mills to sustain this activity, there is a need to improve productivity per hectare and reduce production costs. In this regard, this study aimed to propose fuzzy systems to estimate sugarcane productivity based on planted area (Area) and total cost of soil tillage (TCST) for raw material suppliers and mills. To this end, two fuzzy inference systems were constructed for the output variable (productivity) from two input variables (Area and TCST), considering five membership functions (very low, low, medium, high, and very high). Additionally, a survey on 42 sugarcane suppliers and 31 mills in the state of São Paulo was used for model construction. The results showed that the relationship between Area and TCST reflects on the productivity of sugarcane suppliers and mills in distinct ways. For suppliers, an increase in productivity is observed when there is an almost negative relationship between both input variables. For mills, productivity rises when these variables fluctuate in the same direction. Therefore, the proposed method is viable and provides relevant information for conjecturing survival strategies for agents in the sugarcane energy sector.

Considering the increase in the generationof solid waste worldwide, selective wastecollection is one of the initiatives thatpromote the reverse logistics of thesematerials, in a way to reduce environmentalimpacts. However, mobilizing thepopulation to promote the return of thesewastes has been a difficult task amongpublic managers. Only strategicallyimplemented communication, not treated ina unique way to reach all audiences, cancontribute to the success of selectivecollection programs. Therefore, this studyaims to identify significant variables, fromthe individuals' opinion, that impedeunderstanding the message contentprovided in selective collection programs.For this, a case study was carried out in a citylocated in the state of São Paulo, Brazil.Multiple logistic regression was used as astatistical analysis tool, in which theresponse variable (the individual's capacityto understand the content of the messages)is considered as a function of 33 explanatoryvariables. From the data analysis, it wasobtained the most adequate logistic modelwith a predictive capacity of almost 92%,such that six explanatory variables (Genre; Ifthe citizen performs separation of materials;If the citizen knows how selective collectionhelps the environment; If the citizen knowsthe municipal cooperative; If the citizenknows that the separation contributes to theeconomy of the city; and, Citizen preferencefor other media for feedback) weresignificant to the response variable. Theresults showed there is an interference ofvariables in the individual's capacity tounderstand the content of the messages,indicating that in a communicationalprocess it is necessary to take into accountthe peculiarities and heterogeneity of thepopulation to achieve the intended purpose.

This study investigates how e-business capabilities and digital marketing strategies jointly influence business performance in the e-commerce industry, which has experienced unprecedented growth driven by technological advancements and changing consumer behavior. E-business capabilities encompass the use of technology and digital infrastructure, while digital marketing strategies are employed to attract and retain online customers. The study examines the effect of e-business capabilities through digital marketing strategies on the customer satisfaction and loyalty of UAE e-commerce industry. The research is descriptive and explanatory, and uses a structured 5-scale Likert questionnaire to collect data from the HR managers of 135 e-commerce companies based in UAE. The statistical analysis is performed using structural equation modeling. The findings highlight the significant relationship of the study variables. Consequently, the results of this study provide valuable insights for e-commerce businesses, elucidating the need to invest in robust e-business capabilities to support effective digital marketing efforts. Additionally, the research underscores the significance of tailoring digital marketing strategies to align with specific business objectives and customer segments. The study also contributes to the literature on digital transformation, by demonstrating how e-business capabilities and digital marketing strategies can enable e-commerce firms to adapt and thrive in the dynamic and competitive digital environment.