Working Papers

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Buscamos profundizar y explorar los conocimientos en las áreas y temas relevantes en los negocios discutidos internacionalmente. Nuestra investigación está dirigida para profesionales y stakeholders de todas las industrias e investigadores que busquen fuentes de información en los temas de investigación relevantes e innovadores en los negocios.

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Now showing 1 - 4 of 4
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    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.
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    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.
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    A Non-radial DEA index for Peruvian regional competitiveness
    (CENTRUM Publishing, 2016) Vincent, Charles; Díaz, Guillermo
    In this paper, we propose a method to measure competitiveness performance at the subnational level, with an application to Peruvian regions. For this, we propose a benefit-of-the-doubt composite index that summarizes the information of several indicators that characterize competitiveness. It is based on an optimization approach, using Data Enveloping Analysis (DEA) techniques, so that each indicator is weighted in an endogenous way, and each unit is evaluated in the most favourable light. Our proposed index is a non-radial variant of the typical DEA scores, which avoids the traditional pitfalls of DEA-based composite indexes, such as unreasonable weights. Additionally, we propose a meta-frontier approach in order to compare the competitiveness performances across different periods of evaluation. Our assessments of the Peruvian regions' competitiveness performance improve on the results of traditional DEA methods, which award high marks to regions with very heterogeneous performance (i.e., regions with very high scores in some indicators, and very poor in others). Additionally, the comparison of the performance across time shows a general decrease in the average competitiveness between 2008 to 2014 in the Peruvian regions.
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    Evaluating the Performance of Indian Banking Sector using Data Envelopment Analysis during Post-Reform and Global Financial Crisis
    (CENTRUM Publishing, 2012) Kumar, Mukesh; Vincent, Charles
    Enticed by the reform of Indian banking sector in the early 1990s and further slowdown in the economy as a result of global financial crisis in late 2000s, the current study analyzes the performance of Indian banks using data envelopment analysis. The performance is measured in terms of technical efficiency, returns-to-scale, and Malmquist productivity index for a sample of 33 banks, consisting of 19 public sector and 14 private sector banks during the period spanning 1995-96 to 2009-10. The jackknifing analysis, followed by the dummy variable regression model is used to identify the outlier and its possible impact on overall efficiency trends. Findings reveal that efficiency scores are robust in the sense that the inclusion of outlier does not affect the overall efficiency trends. The public sector bank is faintly doing better than the private sector banks in terms of (i) technical efficiency since 2003-04 and (ii) scale efficiency from 2000-01 onwards. There is growing tendency of public banks operating under increasing returns to scale, implying that substantial gains could be obtained from altering scale via either internal growth or consolidation in the sector. The difference in the Total Factor Productivity (TFP) change between these two types of banks is found to be statistically significant in favour of public sector banks. The technological change has been the dominating source of productivity growth, whereas, the contribution of pure efficiency change and scale change are found to be negligible in Indian banking sector during the period of study. The reform in Indian banking sector has clearly re-energized the Indian banking sector as a whole, resulting in a positive change in TFP through technological change possibly as a result of adoption of latest technology and new business practices in post reform period. However, there is evidence of shrink in the market resulting in movement of the banks towards increasing returns-to-scale as well as negative growth in TFP in both the sectors during the period of global financial crisis.