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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/63951
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/63951


    Title: To Evaluate Partners in Collaborative Planning, Forecasting, and Replenishment (CPFR) Using Goodwill Trust
    Authors: 林我聰
    陳樂惠;Lin, Woo-Tsong;Chen Le-Hui
    Contributors: 資管系
    Keywords: CPFR;Goodwill Trust;Reputation System;Referral Network
    Date: 2009-03
    Issue Date: 2014-02-18 15:18:48 (UTC+8)
    Abstract: Collaborative Planning, Forecasting, and Replenishment (CPFR) is not yet been widely adopted that was originally hoped for. To implement CPFR, the enterprises have to change the traditional transaction-based relationships with his suppliers into the collaborative relationships that they may exchange sensitive information and co-develop business plan. Goodwill trust, reliance upon the care, concern, honesty and benevolence shown by trading partners, plays an important role in CPFR. Thus, the enterprises have to identify an effective way to evaluate the goodwill trust about his traditional transaction-based suppliers. This study develops a method to evaluate goodwill trust for trading partners in CPFR. First, the indicators to measure goodwill trust were defined. Subsequently, the subjective ratings of indicators were collected from third parties who had collaborated with the suppliers using referral networks and reputation system. Finally, the testimonies were aggregated into goodwill reputations that were used to derive the score of goodwill trust. This method helps enterprise to evaluate goodwill trust about his traditional trading partners or suppliers using a quantitative method. Also, this method can be implemented by software agents that may automate the evaluation process of goodwill trust and accelerate the implementation of CPFR.
    Relation: 電子商務研究, 7(1), 5-26
    Source URI: http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=17262364-200903-7-1-5-26-a
    Data Type: article
    Appears in Collections:[資訊管理學系] 期刊論文

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