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	Provedor de dados AgEcon (1) Ciência Rural (1) Autor Akridge, Jay T. (1) Boehlje, Michael (1) Carneiro,Antônio Policarpo Souza (1) Cecon,Paulo Roberto (1) Cruz,Cosme Damião (1) Gray, Allan W. (1) Nascimento,Ana Carolina Campana (1) Nascimento,Moysés (1) Puiatti,Guilherme Alves (1) Puiatti,Mário (1) Silva,Fabyano Fonseca e (1) Torres, Antonio, Jr. (1) Widdows, Richard (1) Mais... Palavra-chave Cluster analysis. (2) Agribusiness (1) Allium sativum L. (1) Customer relationship management (CRM) (1) Growth rate (1) Information technology (1) Marketing (1) Nonlinear regression (1) Quantile regression (1) Strategy (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal Article (1) Ano 2020 (1) 2007 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última An Evaluation of Customer Relationship Management (CRM) Practices among Agribusiness Firms AgEcon Torres, Antonio, Jr.; Akridge, Jay T.; Gray, Allan W.; Boehlje, Michael; Widdows, Richard. Customer Relationship Management (CRM) has received much attention in the business press as a management process to enhance firm performance. This research highlights differences between groups of respondents who believe their firm's CRM program is performing at a high level, as compared to those not satisfied with the performance of their CRM initiative. Cluster analysis was used to develop a taxonomy of respondents based on their perceived CRM performance. The resulting clusters are then profiled on both demographic variables as well as a core set of activities/behaviors to better understand key differences in the CRM programs of agribusinesses. Tipo: Journal Article Palavras-chave: Customer relationship management (CRM); Marketing; Strategy; Information technology; Cluster analysis.; Agribusiness. Ano: 2007 URL: http://purl.umn.edu/8169 Nonlinear quantile regression to describe the dry matter accumulation of garlic plants Ciência Rural Puiatti,Guilherme Alves; Cecon,Paulo Roberto; Nascimento,Moysés; Nascimento,Ana Carolina Campana; Carneiro,Antônio Policarpo Souza; Silva,Fabyano Fonseca e; Puiatti,Mário; Cruz,Cosme Damião. ABSTRACT: The objective of this study was to adjust nonlinear quantile regression models for the study of dry matter accumulation in garlic plants over time, and to compare them to models fitted by the ordinary least squares method. The total dry matter of nine garlic accessions belonging to the Vegetable Germplasm Bank of Universidade Federal de Viçosa (BGH/UFV) was measured in four stages (60, 90, 120 and 150 days after planting), and those values were used for the nonlinear regression models fitting. For each accession, there was an adjustment of one model of quantile regression (τ=0.5) and one based on the least squares method. The nonlinear regression model fitted was the Logistic. The Akaike Information Criterion was used to evaluate the goodness of... Tipo: Info:eu-repo/semantics/article Palavras-chave: Quantile regression; Nonlinear regression; Allium sativum L.; Growth rate; Cluster analysis.. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000100203 Registros recuperados: 2 Primeira ... 1 ... Última

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