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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/33326

    Title: 建構E化服務之顧客價值衡量模式研究
    Other Titles: A synthesized model to estimate customer value for e-services
    Authors: 洪郁婷;Hung, Yu-ting
    Contributors: 淡江大學企業管理學系碩士班
    張瑋倫;Chang, Wei-lun
    Keywords: 顧客價值;E化服務;顧客分群;Customer Value;E-services;Customer Segmentation;Customer Lifetime Value
    Date: 2009
    Issue Date: 2010-01-11 03:53:53 (UTC+8)
    Abstract: 服務產業已逐漸成為許多國家的核心產業,處於資訊科技的時代之下,傳統服務型態亦受到影響,從面對面的服務型式,已逐漸衍生出透過網路方式加以滿足需求,使服務傳遞的方式有更多元化的選擇,同時,如何有效的衡量顧客價值,並且結合傳統議題進一步探討,為本研究主要動機。依據過去相關文獻指出,顧客價值的研究可分為概念型與數理型,並以企業和顧客的單方面角度做為思考基準,因此,本研究主要探討如何融合兩方觀點建立屬於E化服務產業的顧客價值衡量模式。
    The service industry has major impact on economics in many countries. In the information age, the concepts of traditional services must be changed in order to adapt the Internet environment. Many customers start to use e-services over the Internet to achieve their demands. Therefore, the motivation of this research is to investigate how to build the new measurement of customer value for e-services. According to the literature, the researches of customer value can be separated into two concepts: enterprise and customer viewpoints. The research purpose is to understand how to synthesize the different viewpoints and develop the measurement of customer value in the e-services environment.
    The major concepts of our customer value model are profits and time usage. In the model, we choice appropriate variables from enterprise and customer viewpoints and utilize simple average method and weighted average method as the basic notion for computation. Finally, we aim to segment the customers in the e-service environment by two marketing indicators: customer profitability and customer satisfaction. This research also provides experimental simulation to validate our proposed model. The simulated results indicate the significance of customer value for managers by analyzing customers’ attributes of each segment. Eventually, researchers can make furnish certain managerial
    suggestions and establish practical implications of our model.
    The result of simulation shows the positive effect of “reach rate” for estimated customer value. Meanwhile, the “best type” customers of customer segments create more profit compared to other types. The “worst type” customers of customer segments create less profit, but it still needs further investigation in order to discover the significance of managerial implications. In summary, this research provides a complement concept for traditional customer value and customer lifetime value model. In addition, our proposed model provides another perspective to consider the customer value for e-services not only for researches but also practices in the future.
    Appears in Collections:[企業管理學系暨研究所] 學位論文

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