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題名 A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies
作者 Wang, W.-K.;Lu, W.-M.;Liu, Pei Yi
劉佩怡
貢獻者 會計系
關鍵詞 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
日期 2014-07
上傳時間 3-Jun-2015 11:19:12 (UTC+8)
摘要 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.
關聯 Expert Systems with Applications, 41(9), 4290-4297
資料類型 article
DOI http://dx.doi.org/10.1016/j.eswa.2014.01.004
dc.contributor 會計系
dc.creator (作者) Wang, W.-K.;Lu, W.-M.;Liu, Pei Yi
dc.creator (作者) 劉佩怡zh_TW
dc.date (日期) 2014-07
dc.date.accessioned 3-Jun-2015 11:19:12 (UTC+8)-
dc.date.available 3-Jun-2015 11:19:12 (UTC+8)-
dc.date.issued (上傳時間) 3-Jun-2015 11:19:12 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75544-
dc.description.abstract (摘要) 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.
dc.format.extent 469397 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Expert Systems with Applications, 41(9), 4290-4297
dc.subject (關鍵詞) 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
dc.title (題名) A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.eswa.2014.01.004
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.eswa.2014.01.004