Centro de Innovación de la Cadena de Valor

URI permanente para esta colecciónhttp://54.81.141.168/handle/123456789/166748

Este centro promueve el estudio de los problemas más relevantes para las etapas de la cadena de valor y se evalúan las nuevas tecnologías que están reconfigurando la industria. Estudia la cadena de valor en: la operación logística, la innovación, la promesa de la inteligencia artificial y temas afines.

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20152

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Fecha de inicio: 2012Temasearch.filters.applied.operator.equals: search.filters.subject.Data envelopment analysis

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Mostrando 1 - 2 de 2
  • Miniatura
    ÍtemAcceso Abierto
    A Satisficing DEA Model to Measure the Customer-based Brand Equity
    (CENTRUM Publishing, 2015) Vincent, Charles; Zavala, Jorge
    Ever since the inception of brand values, these have become a benchmark for many data-driven strategies, eventually providing a basis for vertical/horizontal integrations, as well. In recent decades, brands have become comparable across the industries, based on their value derived either from the customer perception or in terms of the firm financials. Numerous models have been developed in time to measure the customer-based brand equity; nevertheless, they all evaluate brand equity in an absolute sense. The present research paper provides an avenue to measure the customer-based brand equity in a relative sense using a satisficing DEA model. The information for this model has been collected through a customer-based survey questionnaire in line with predefined brand equity dimensions, which have been verified through a confirmatory factor analysis. We demonstrate the approach by means of applying the proposed model to measure the efficiency of cell phone brands.
  • Miniatura
    ÍtemAcceso Abierto
    A translation invariant pure DEA model
    (CENTRUM Publishing, 2015) Vincent, Charles; Färe, Rolf; Grosskopf, Shawna
    This short communication complements the DEA model proposed by Lovell and Pastor (Eur. J. Oper. Res. 118 (1999), 46-51), by incorporating both positive and negative criteria in the model. As such, we propose a DEA model, known as pure DEA, using a directional distance function approach.