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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29590


    Title: A BAYESIAN NETWORKS APPROACH TO MODELING FINANCIAL RISKS OF E-LOGISTICS INVESTMENTS
    Authors: Shen,CW
    Contributors: 企業管理研究所
    Keywords: INFORMATION-TECHNOLOGY;SUPPLY CHAIN;KNOWLEDGE MANAGEMENT;SYSTEM;PERFORMANCE;IMPACT;DECISION;SHOP
    Date: 2009
    Issue Date: 2010-06-29 20:32:26 (UTC+8)
    Publisher: 中央大學
    Abstract: To evaluate whether the investments of e-logistics systems may increase financial risks, models of Bayesian networks are constructed in this study with the mechanism of structural learning and parameter learning. Empirical findings from the transport and logistics sectors suggest that the e-logistics investments generally do not increase the financial risks of companies except the implementation of computer aided picking systems and radio frequency identification. Meanwhile, only the investment of enterprise resource planning can reduce the financial risks and enhance the profitability at the same time. Generally speaking, most advanced e-logistics investments do not yield financial advantages for the transport and logistics companies from the perspective of Bayesian inference. Empirical study based on the proposed models also demonstrates the practicability of Bayesian models.
    Relation: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
    Appears in Collections:[企業管理研究所] 期刊論文

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