Applying DEA-BPN to Enhance the Explanatory Power of Performance Measurement.
A better measurement tool can provide more accurate information to improve the evaluation of performance in terms of operational efficiency. The data envelopment analysis (DEA) method has been widely used for the measurement of performance in retail chain stores. However, if the data utilized in DEA...
| Publicado en: | Systems Research & Behavioral Science Vol. 32; no. 6; pp. 707 - 721 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Nov/Dec2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=110673488&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 110673488 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10927026 2SN jtl: Systems Research & Behavioral Science issn: 10927026 maglogo: Y pubinfo: dt: Nov/Dec2015 vid: 32 iid: 6 pid: 480 pub: Wiley-Blackwell artinfo: ui: 110673488 10.1002/sres.2224 ppf: 707 ppct: 14 formats: tig: atl: Applying DEA-BPN to Enhance the Explanatory Power of Performance Measurement. aug: au: Fu, Hsin‐Pin Chang, Tien‐Hsiang Shieh, Lon‐Fon Lin, Arthur Lin, Shang‐Wen affil: Department of Marketing and Distribution Management, National Kaohsiung First University of Science and Technology, Kaohsiung Taiwan, ROC Department of Information Management, National Kaohsiung University of Applied Sciences, Kaohsiung Taiwan, ROC Department of Business Management, National United University, Miaoli Taiwan, ROC Graduate Institute of International Business, National Taipei University, Taipei Taiwan, ROC su: Data envelopment analysis Performance evaluation Back propagation Multiple criteria decision making Artificial neural networks Chain stores sug: subj: All other miscellaneous general merchandise stores All Other Miscellaneous Store Retailers (except Tobacco Stores) All other miscellaneous store retailers (except beer and wine-making supplies stores) Data envelopment analysis Performance evaluation Back propagation Multiple criteria decision making Artificial neural networks Chain stores keyword: BPN chain store DEA performance measurement BPN chain store DEA performance measurement ab: A better measurement tool can provide more accurate information to improve the evaluation of performance in terms of operational efficiency. The data envelopment analysis (DEA) method has been widely used for the measurement of performance in retail chain stores. However, if the data utilized in DEA are subject to statistical deviation, observational errors can occur in the measurement of operational efficiency, and the output can be distorted. Moreover, the explanatory power of DEA is relatively weak when analyzing multiple decision-making units. To address these shortcomings, this paper used the back-propagation neural network (BPN) in combination with DEA (DEA-BPN) to produce more reliable results. A leading chain of Taiwanese retail outlets selling lifestyle accessories was chosen as the sample to test the performance of the proposed DEA-BPN model. The results of the study verify that the DEA-BPN method is a more reliable tool to measure efficiency in a retail setting. Copyright © 2013 John Wiley & Sons, Ltd. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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