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    政大機構典藏 > 商學院 > 會計學系 > 期刊論文 >  Item 140.119/75544
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75544

    Title: A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies
    Authors: Wang, W.-K.;Lu, W.-M.;Liu, Pei Yi
    Contributors: 會計系
    Keywords: Calculation process;Discriminating power;Efficiency improvement;Fuzzy multiple objective programming;Intellectual capital;Multiple-objectives;Overall efficiency;Truncated-regression;Data envelopment analysis;Knowledge management;Regression analysis;Industry
    Date: 2014-07
    Issue Date: 2015-06-03 11:19:12 (UTC+8)
    Abstract: This paper investigates the association between the performance of bank holding companies (BHCs) and their intellectual capital (IC). We start from constructing an innovation ratio two-stage DEA model and then applies fuzzy multiple objective programming approaches to calculate the efficiency score. This model provides a common scale for comparing performance, increases the discriminating power, and simplifies the calculation process. The links between IC and the BHCs` performance are also investigated by means of the truncated-regression model, and a positive relationship between them is found. The decision-making matrix combined with an efficiency improvement map proposed in this study can clearly define the benchmark that can be emulated by inefficient BHCs and help BHC managers to develop appropriate strategies needed to enhance their overall efficiency.© 2014 Elsevier Ltd. All rights reserved.
    Relation: Expert Systems with Applications, 41(9), 4290-4297
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.eswa.2014.01.004
    DOI: 10.1016/j.eswa.2014.01.004
    Appears in Collections:[會計學系] 期刊論文

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