Estudio del sector automotriz para el ingreso de automóviles híbridos en Bogotá-Colombia

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instname:Universidad del Rosario

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Godoy Duque, Claudia Cristina; Pacheco Perez, Maria Cristina; González Herrera, Maria Alejandra; Administrador de Empresas
Facultad de Administración; Universidad del Rosario
Vehículo híbrido; Vehículo de combustión; Mercados verdes; Prospectiva; Escenarios futuros; Análisis estructural de sectores estratégicos::Colombia; Automóviles; Futuros (Comercio)::Colombia; Planificación del mercadeo::Colombia; Prospectiva::Colombia; Transporte motorizado::Aspectos Ambientales; Hybrid Vehicle; Gas Vehicle; Green Market; Prospective; Future scenery; ANALISIS ESTRUCTURAL DE SECTORES ESTRATEGICOS - COLOMBIA; AUTOMOVILES - INDUSTRIA Y COMERCIO – COLOMBIA; FUTUROS (COMERCIO) - COLOMBIA; PLANIFICACION DEL MERCADEO - COLOMBIA; PROSPECTIVA - COLOMBIA; TRANSPORTE MOTORIZADO - ASPECTOS AMBIENTALES - COLOMBIA
thesis / dissertation description
An exploratory study was made, with a prospective character, in order to identify the options and alternatives that can be found in the automotive sector for hybrid vehicles. These way possible investors in this field will receive judgment elements that will allow them to take strategic decisions. The study is conformed of a consideration of the scope of the market, and strategic study of the sector and a study of future sceneries. The study of future sceneries was made using the prospective methodology of Michel Godet. In this methodology the problem is seen as a system integrated by a set of variables and the relationship that exist between them. These variables and their relationships are identified using the concepts of influence and the dependencies that can be generated by variations in time. In this methodology the most important actors of the system are identified and then, making bibliographic consultations from experts, their characteristic behavior and the way they influence the key variables is determined and thus the stability of the system in time. Using this information, once the key variables are identified, the strategic objectives are defined and the possible future sceneries are exposed using the probability graphics delivered by the software. From these possible sceneries, the ideal scenery is identified.