920 resultados para causal inference


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El cultivo de aguacate en Colombia ha presentado un incremento en el área sembrada durante la última década, especialmente en clima frío moderado, entre 1.800 y 2.500 msnm. La variedad Hass se destaca por tener la mayor área sembrada en este clima, en el departamento de Antioquia-Colombia. Este cultivo presenta grandes retos tecnológicos para su expansión; entre ellos el manejo de enfermedades ocupa un lugar predominante por las implicaciones que tiene en costos, impacto en la salud, ambiente y restricciones para exportaciones. La marchitez, ocasiona la muerte de numerosos árboles en todas las etapas del cultivo y presenta la mayor incidencia y severidad de las enfermedades identificadas para este cultivo. El desconocimiento de los agentes causales de esta enfermedad, ha llevado a realizar prácticas de manejo encaminadas principalmente al control del oomycete Phytophthora cinnamomi Rands, como único agente causal. Esta investigación tuvo como objetivo identificar los distintos agentes causales de la marchitez del aguacate y la relación de su incidencia con las prácticas de manejo en lotes cultivados en el departamento de Antioquia-Colombia. Los resultados encontrados muestran que la marchitez es el principal problema del cultivo de aguacate. Los microorganismos P. cinnamomi, Phytophthora heveae Thompson, Phytophthora citrícola Sawada, Verticillium sp., y Cylindrocarpon destructans (Zinss) Scholten fueron aislados y reprodujeron los síntomas asociados a marchitez. Las condiciones de bajo contenido de oxigeno el suelo también reprodujeron la sintomatología de marchitez, involucrando también un origen abiótico en la etiología.

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Tourism is a phenomenon that moves millions of people around the world, taking as a major driver of the global economy. Such relevance is reflected in the proliferation of studies in the overall area known as tourism, under various perspectives and backgrounds. In the light of such multitude of insights our study aims at gaining a deeper understanding of customer profiling and behavior in cross-border tourism destinations. Previous studies conducted in such contexts suggest that cross-border regions (CBRs) are an attractive and desirable idea, yet requiring further theoretical and empirical research. The new configuration of many CBRs calls for a debate on issues concerning its development, raising up important dimensions, such as, organization and planning of common tourism destinations. There is still a gap in the understanding of destination management in CBRs and the customer profile and motivations. Overall this research aims at attaining a deeper understanding of the profile and behavior of consumers in tourism settings, addressing the predisposition for the destination. The study addresses the following research question: “What factors influence customer behavior and attitudes in a CBRs tourism destination?” To address our question we will take an interdisciplinary perspective bringing together inputs from marketing, tourism and local economics. When addressing consumer behavior in tourism previous studies considered the following constructs: involvement, place attachment, satisfaction and destination loyalty. In order to establish the causal relationships in our theoretical model, we intend to develop a predominant quantitative design, yet we plan to conduct exploratory interviews. In the analysis and discussion of results, we intend to use Structural Equation Modeling. It will further allow understanding how the constructs in the research model relate to each other in the specified context. Results are also expected to have managerial implications. Consequently our results may assist decision makers in developing their local policies.

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Tourism is a phenomenon that moves millions of people around the world, taking as a major driver of the global economy. Such relevance is reflected in the proliferation of studies in the overall area known as tourism, under various perspectives and backgrounds. In the light of such multitude of insights our study aims at gaining a deeper understanding of customer profiling and behavior in cross-border tourism destinations. Previous studies conducted in such contexts suggest that cross-border regions (CBRs) are an attractive and desirable idea, yet requiring further theoretical and empirical research. The new configuration of many CBRs calls for a debate on issues concerning its development, raising up important dimensions, such as, organization and planning of common tourism destinations. There is still a gap in the understanding of destination management in CBRs and the customer profile and motivations. Overall this research aims at attaining a deeper understanding of the profile and behavior of consumers in tourism settings, addressing the predisposition for the destination. The study addresses the following research question: “What factors influence customer behavior and attitudes in a CBRs tourism destination?” To address our question we will take an interdisciplinary perspective bringing together inputs from marketing, tourism and local economics. When addressing consumer behavior in tourism previous studies considered the following constructs: involvement, place attachment, satisfaction and destination loyalty. In order to establish the causal relationships in our theoretical model, we intend to develop a predominant quantitative design, yet we plan to conduct exploratory interviews. In the analysis and discussion of results, we intend to use Structural Equation Modeling. It will further allow understanding how the constructs in the research model relate to each other in the specified context. Results are also expected to have managerial implications. Consequently our results may assist decision makers in developing their local policies.

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In the 70s, a new line of research focused on the study of the influence of the audit report on the decision process of investors, financial analysts and credit analysts. Notwithstanding the numerous studies that have been carried out, results have not been consistent. Given the above, and considering the lack, in Portugal, of a research of this nature, it seems urgent to carry out a study that allows the analysis of the use of the audit report, as well as its influence on the decision making process of Portuguese stakeholders. For that purpose, in the light of the positivist research paradigm, a questionnaire was designed, which was administered by mail and on the Survey Monkey platform to a sample of institutional investors, financial analysts and credit analysts. The statistical analysis of the data obtained was undertaken with resource to the Statistical Package for the Social Sciences and SmartPLS 2.0. Corroborating the literature review and the assumptions of the Agency Theory and the Stakeholder Theory, used in the theoretical framework of analysis, empirical evidence has shown that the audit report influences the decision of institutional investors, financial analysts and credit analysts, and that the opinion expressed in that document is the most determinant factor of this influence. In addition to this factor, it was found that the degree of utilization of the audit report, as well as the value ascribed to this document, determine its influence in the decision process of research groups studied. Only in the case of institutional investors, the results did not reveal a correlation between the utility ascribed to the audit report and the influence of this document in their decision making process. In turn, the statistical inference of the model explaining the degree of use of the audit report revealed that it is conditioned by the perceived quality of the information enclosed in the audit report, the utility assigned to the audit report on the decision process, as well as the relevance of the other sources of information used by stakeholders. Therefore, this study allowed proving the importance of the audit report to its users. As a result, we believe to have filled a gap in national literature and to have contributed to the enhancement of international literature. The importance that this document has for the development of any country is, therefore, shown, and it is urgent to maintain rigor in the selection of its staff, in the development of its standards, and especially in the development of audits. Moreover, we also consider that this research may contribute to the improvement of the audit report, insofar as it will help professional bodies to understand the information needs and perceptions of stakeholders.

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ABSTRACT The objective of this study was to analyze the phenotypic correlation and path analysis of traits related to plant architecture, earliness and grain yield in F2, BC1 and BC2 generations, from crosses between cowpea cultivars BRS Carijó and BR14 Mulato. Most phenotypic correlations of the examined traits were concordant in statistical significance, with approximate values ​​among the examined generations. For the trait seed weight, significant and positive phenotypic correlations were observed in the three generations only for the trait number of secondary branches. The values ​​of the direct effects were in agreement with the values ​​of the phenotypic correlations, which indicate true association by the phenotypic correlation among the traits of grain yield examined. Path analysis indicated that the selection of productive plants will result in early plants and an increased number of secondary branches. In F2, plants with shorter length of the main branch and shorter length of secondary branches can be obtained. The causal model explained 15 to 30% of the total variation in grain weight in relation to the traits examined. The analyses indicated the possibility of selecting plants with a higher and early grain yield, shorter length of primary branches and lower number of nodes, which are important variables for mechanical or semi-mechanical harvesting.

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Este estudo tem como principal objetivo analisar a relação causal entre um conjunto de variáveis de política monetária e o mercado acionário brasileiro, representado pelo Ibovespa, e para tal utilizará o procedimento de Bernanke (1986). Buscou-se analisar o efeito dos choques inesperados nas variáveis de política monetária, além de analisar o poder explanatório de cada uma das variáveis do modelo sobre o Ibovespa. Os resultados obtidos deixam claro que as taxas de juros de curto e longo prazo e a taxa de câmbio impactam contemporaneamente o Ibovespa. Contudo, a maior sensibilidade do índice está na taxa de câmbio, mostrando a importância exercida pelo câmbio no mercado acionário brasileiro. Uma depreciação inesperada no câmbio da ordem de 10% impacta negativamente o Ibovespa em 11,6%. Como na função impulso resposta, o câmbio é a variável que tem o maior poder explanatório.

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A atmosfera de uma loja é capaz de provocar emoções e comportamentos que estimulam a compra. Entre as suas dimensões, está o aroma ambiental, adicionado artificialmente ao ambiente. Este artigo investiga a relação entre a presença de aroma ambiental no varejo e as avaliações de loja, ambiente de loja e produtos, além das intenções comportamentais relativas ao retorno e ao tempo gasto na loja. A pesquisa teve uma etapa exploratória, exame de publicações em fisiologia, psicologia e comportamento do consumidor, para construção do referencial teórico e formulação das hipóteses, e outra causal, quase experimento, para identificar as relações de causa e efeito na presença de aroma. O estudo foi conduzido em uma butique de frutos do mar, e os instrumentos de coleta de dados, escalas de diferencial semântico, basearam-se em pesquisas similares. As análises incluíram técnicas de estatística descritiva e teste de hipóteses. Os resultados revelaram que a presença de aroma ambiental não aumentou as avaliações nem a intenção de retorno, mas reteve o consumidor por mais tempo na loja.

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El principal objetivo de este trabajo es proporcionar una escala de Responsabilidad Social Empresarial válida y fiable desarrollada desde el punto de vista del consumidor. A partir de aquí, se plantea un análisis causal que tiene como finalidad identificar aquellas actuaciones que provocan una respuesta por parte del mercado. Los resultados obtenidos permitirán informar a las empresas sobre las prácticas en materia de Responsabilidad Social Empresarial que tienen un efecto positivo sobre la actitud del consumidor hacia la empresa y su intención futura de compra.

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This paper shows the results of the empirical study conducted in 186 tourist accommodation businesses in Spain certified under the "Q for Tourist Quality", own System Quality Management. It was raised with the purpose of analyzing the structure of the relationship between critical quality factors and results-social impact, how they operate and the level of their influence on obtaining these results within the company. Starting from a deep theoretical revision we propose a theoretical model together with the hypotheses to be tested, and we proceed to validation using the technique of Structural Equation Models. The results obtained show that companies wishing to improve their social impact should take into account that leadership is the most important factor to achieve it. Leadership indirectly affects the social impact through its influence on alliances and resources, quality policy/planning, personnel management and learning.

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This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term success. We present a set of hypotheses about the influence of feedback information and systems thinking facilitation on mental models and management performance. We explore, under controlled conditions, the role of mental models in terms of structure and behaviour. A test based on a simulation experiment with a system dynamics model was performed. Three out of the four hypotheses were confirmed. Causal diagramming positively influences mental model structure similarity, mental model structure similarity positively influences mental model behaviour similarity, and mental model behaviour similarity positively influences the quality of the decision.

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O Balanced Scorecard (BSC) tem vindo a revelar-se um conceito popular como ferramenta de suporte à descrição e implementação da estratégia organizacional. Esta abordagem propõe que os gestores se foquem no desenvolvimento e utilização dum número reduzido de indicadores críticos de desempenho, financeiros e não financeiros, que combinam diferentes disciplinas e perspectivas da organização e que estão articulados numa cadeia causal que explica de forma consistente o desempenho futuro de acordo com a estratégia formulada. Contudo, diversas dúvidas e críticas tem emergido relativamente à qualidade do processo de desenvolvimento do BSC e que colocam em causa a consistência e a validade da estrutura de indicadores que constitui o instrumento fundamental para o controlo da implementação da estratégia. Com o propósito de ultrapassar estes problemas, uma abordagem baseada na modelação e simulação dinâmica (dinâmica de sistemas) é proposta como suporte ao processo de desenvolvimento do BSC. Esta abordagem permite acelerar e melhorar a aprendizagem dos gestores acerca do processo de criação futura de valor que está associado à estratégia formulada e respectiva implementação, contribuindo assim para a validade e consistência da estrutura de indicadores do BSC.

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This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term success. We present a set of hypotheses about the influence of feedback information and systems thinking facilitation on mental models and management performance. We explore, under controlled conditions, the role of mental models in terms of structure and behaviour. A test based on a simulation experiment with a system dynamics model was performed. Three out of the four hypotheses were confirmed. Causal diagramming positively influences mental model structure similarity, mental model structure similarity positively influences mental model behaviour similarity, and mental model behaviour similarity positively influences the quality of the decision

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O Balanced Scorecard (BSC) tem vindo a revelar-se um conceito popular como ferramenta de suporte à descrição e implementação da estratégia organizacional. Esta abordagem propõe que os gestores se foquem no desenvolvimento e utilização dum número reduzido de indicadores críticos de desempenho, financeiros e não financeiros, que combinam diferentes disciplinas e perspectivas da organização e que estão articulados numa cadeia causal que explica de forma consistente o desempenho futuro de acordo com a estratégia formulada. Contudo, diversas dúvidas e críticas tem emergido relativamente à qualidade do processo de desenvolvimento do BSC e que colocam em causa a consistência e a validade da estrutura de indicadores que constitui o instrumento fundamental para o controlo da implementação da estratégia. Com o propósito de ultrapassar estes problemas, uma abordagem baseada na modelação e simulação dinâmica (dinâmica de sistemas) é proposta como suporte ao processo de desenvolvimento do BSC. Esta abordagem permite acelerar e melhorar a aprendizagem dos gestores acerca do processo de criação futura de valor que está associado à estratégia formulada e respectiva implementação, contribuindo assim para a validade e consistência da estrutura de indicadores do BSC.

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Dez milhões de crianças brasileiras deveriam frequentar creches, mas apenas 21% delas estão regularmente matriculadas. O problema da falta de vagas em creches foi o cenário escolhido para evidenciar a utilidade do artefato proposto: procedimentos para análise de problemas complexos, composto pela aplicação integrada entre mapa causal e matriz de loops, duas técnicas associadas aos estudos de padrões de cognição nas organizações. O artefato proposto foi testado junto a três municípios brasileiros, segundo os preceitos da abordagem design science. Causas e associações intercausais foram identificadas e priorizadas pela técnica de mapa causal e, posteriormente, interdependências entre causas foram analisadas pela técnica matriz de loops, o que alterou a priorização inicial. Evidenciou-se que para problemas complexos é fundamental identificar e analisar os loops entre loops de amplificação de desvio (loops "explosivos"). Outro resultado a destacar é a melhor compreensão de um problema complexo e socialmente relevante.

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Foi feito estudo epidemiológico retrospectivo descritivo de mortalidade por suicídio no município de São Paulo, Brasil, baseado nos dados oficiais. Foram estudadas as tendências de alguns caracteres epidemiológicos dessa causa de morte nos anos de 1959 a 1968: causas exógena, distribuição cronológica, distribuição causal e distribuição por sexo e idade.