Examinando por Materia "Asociados"

Mostrando 1 - 3 de 3
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    Ítem
    El impacto psicosocial del ICO + R en los asociados que participan del Proyecto Alianza “El Efecto Cacao”
    (Universidad EAFIT, 2021) Niebles Sincelejo, Saúl José; Vargas Sáenz, Mario Enrique
    The objective of this investigation is to evaluate the Psychosocial Impact resulting from the application of the ICO + R in the associates that participate in the Alliance Project: "The Cocoa Effect" in the Department of Huila, the Subregions of El Bajo Cauca and Uraba Antioqueño, and the municipality of Tumaco in the Department of Nariño. The investigation is divided into two phases, the first phase corresponds to a review of the literature, which appears to identify the psychosocial conditions prior to the application of the ICO + R. The second phase, a survey was implemented to measure the current state of psychosocial conditions in a representative sample of the associates participating in the Project - Alliance: “The Cocoa Effect”.
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    Ítem
    Mecanismos de protección de asociados minoritarios en grupos empresariales y situaciones de control
    (Universidad EAFIT, 2020) Villa Noreña, Mariana; Henríquez Kitchen, María José; Arango Espinal, Mónica
    The main objective of the following work is to inquire and clarify what does the Colombian legal system and doctrine understand by subordination and entrepreneur groups. In the same way, analyse some issues related to minority shareholder’s protection in these structures, as well as determine different mechanisms that these shareholders have to make effective the protection. The above will be done through the study of Colombian law and jurisprudence, doctrine in corporate matters, as well as reference to comparative law.
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    Ítem
    Modelo de medición de riesgo crediticio aplicado a cooperativa multiactiva
    (Universidad EAFIT, 2022) Aguilar Narváez, Lina Marcela; García Herrera, Melissa; Rojas Ormaza, Brayan Ricardo
    Credit risk management is a structured approach that solidarity organizations have adopted to identify, measure, monitor and effectively control risk, so that they can take timely decisions to prevent and reduce the default in the payment of obligations by partners. The objective of this paper is to design a model for measuring credit risk to comply with the guidelines given by the regulatory entity and allows standardizing the process of granting credit to a multi-active cooperative in order to help in decision-making, especially by the credit and portfolio evaluation committees. For this, Logistic Regression, Decision Tree and Random Forest models were used, in order to determine from efficiency the most appropriate model for this organization.