9783330048898 - Applying conjoint analysis to evaluate consumer preferences de Jacobsen, Frederik; Joergensen, Jesper Muff (6 resultados)

Paperback. Condición: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

Taschenbuch. Condición: Neu. Applying conjoint analysis to evaluate consumer preferences | Frederik Jacobsen (u. a.) | Taschenbuch | 76 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330048898 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Applying conjoint analysis to evaluate consumer preferences by F.H. Jacobsen & J.M. Joergensen. Tesla Motors' all electric vehicle Model S is a revolutionary car with several unique attributes. Through the use of a conjoint analysis, this paper examines Model S' key attributes and how these attributes are evaluated by potential consumers. Participants were asked to evaluate the Model S based on an array of selected attributes, that were identified through explorative qualitative interviews, which in turn were based on expert interviews with Tesla employees. Participants were asked to evaluate different models of the car based on a combination of these attributes. Through a conjoint analysis it was possible to find Model S' most preferred attributes for potential Tesla consumers. Also, a segmentation was performed through a cluster analysis for marketing purposes. Using the methodology and research design presented in this paper, practitioners are able to analyse consumer preferences towards a specific product and use that information for product development and segmentation. 76 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jacobsen FrederikFrederik Hempel Jacobsen, Jesper Muff JoergensenAarhus University - MSc IB.Both received their bachelor degrees in Economics & Business Administration - International Management (BSc IM) from Aarhus University, and a.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Applying conjoint analysis to evaluate consumer preferences by F.H. Jacobsen & J.M. Joergensen. Tesla Motors' all electric vehicle Model S is a revolutionary car with several unique attributes. Through the use of a conjoint analysis, this paper examines Model S' key attributes and how these attributes are evaluated by potential consumers. Participants were asked to evaluate the Model S based on an array of selected attributes, that were identified through explorative qualitative interviews, which in turn were based on expert interviews with Tesla employees. Participants were asked to evaluate different models of the car based on a combination of these attributes. Through a conjoint analysis it was possible to find Model S' most preferred attributes for potential Tesla consumers. Also, a segmentation was performed through a cluster analysis for marketing purposes. Using the methodology and research design presented in this paper, practitioners are able to analyse consumer preferences towards a specific product and use that information for product development and segmentation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Applying conjoint analysis to evaluate consumer preferences by F.H. Jacobsen & J.M. Joergensen. Tesla Motors' all electric vehicle Model S is a revolutionary car with several unique attributes. Through the use of a conjoint analysis, this paper examines Model S' key attributes and how these attributes are evaluated by potential consumers. Participants were asked to evaluate the Model S based on an array of selected attributes, that were identified through explorative qualitative interviews, which in turn were based on expert interviews with Tesla employees. Participants were asked to evaluate different models of the car based on a combination of these attributes. Through a conjoint analysis it was possible to find Model S' most preferred attributes for potential Tesla consumers. Also, a segmentation was performed through a cluster analysis for marketing purposes. Using the methodology and research design presented in this paper, practitioners are able to analyse consumer preferences towards a specific product and use that information for product development and segmentation.