政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/64239
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113311/144292 (79%)
造访人次 : 50938545      在线人数 : 976
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/64239


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/64239


    题名: Supplier evaluation model for computer auditing and decision-making analysis
    作者: Shih, Kuang-Hsun;Hung, Hsu-Feng;Lin, Binshan
    贡献者: 企管系
    关键词: Computers;Auditing;Internal control;Supplier evaluation;Cybernetics
    日期: 2009.10
    上传时间: 2014-02-26 15:37:40 (UTC+8)
    摘要: Purpose – The purpose of this paper is to present a model and a supporting approach for effective supplier selection decisions. Design/methodology/approach – Structural equation modeling (SEM) and confirmatory factor analysis are applied to test the evaluation principles and samples. Next, the data tested by SEM is used for artificial neural network (ANN) by Likert and fuzzy scales to structure a classification model, accompanying with canonical discriminate analysis (CANDISC) to diminish variables. After the training and test of the model, multiple discriminate analysis is applied to compare the accuracy of the classification. Last, the CANDISC variable reduction method with ANN classification model utilized in the study is applied. Findings – The supplier selection model designed with ANN classification model and fuzzy scales will be more effective than with the traditional statistics analysis. Research limitations/implications – The new paradigm for decision making includes a combination of several effective methods and analysis. Practical implications – This research provides an integrated model for internal auditors and managers to classify their supplier selection decisions. Originality/value – This paper contributes to the new approach of the decision model building process for computer auditing and improves the classification accuracy effectively.
    關聯: Kybernetes, 38(9), 1439-1460
    資料來源: http://dx.doi.org/10.1108/03684920910991469
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1108/03684920910991469
    DOI: 10.1108/03684920910991469
    显示于类别:[企業管理學系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    14391460.pdf117KbAdobe PDF21246检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈