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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/112158
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112158


    Title: 以顧客主導邏輯輔助區塊鏈數位生態系統之利害關係人價值結構設計
    Value Configuration of Blockchain-based Digital Ecosystem Stakeholders: A Customer Dominant Logic Perspective
    Authors: 江柏緯
    Chiang, Po-Wei
    Contributors: 苑守慈
    Yuan, Soe-Tysr
    江柏緯
    Chiang, Po-Wei
    Keywords: 區塊鏈生態系統
    服務渴望度
    服務創新度
    利害關係人協議
    Destination
    Service desirability
    Service disruption
    Stakeholder consensus
    Blockchain-based ecosystem
    Date: 2017
    Issue Date: 2017-08-28 11:26:36 (UTC+8)
    Abstract: 在後數位化時代,有無數的數位服務生態圈在爭奪著有限的市場。而要贏得這場競爭最好的方式就是遵照服務設計的理論來滿足顧客的渴望。本研究期望運用科技化的輔助方式來幫助服務設計者建立一個以顧客主導邏輯為基礎的區塊鏈服務生態系統。在這個方法裡面,我們必須要解譯服務設計者的服務價值主張,並且找出與之相關的價值活動來作為之後服務設計的樣本。最後透過服務渴望度、創新度以及利害關係人認可程度三個面向來衡量整個價值結構設計是否可行並有發展潛力。
    In the post-digital era, there are countless digital ecosystems to fight for the limited market share. Using service design theory to fulfill customers’ desire is the best way to win the competence. This paper proposes a technology facilitating approach to help service designers configure their blockchain-based service ecosystem with customer-dominate logic. We rephrase the service value proposition inputted by service designers and filtering related value activities as the model of designed ecosystem. To make the decentralized ecosystem become a destination, we have to examine the value configuration from three different perspectives which are desirability, disruption, and consensus. These three dimensions provide service designers with a method that can help assess if a configuration is making sense or not. After all, this paper is aimed to support service designers to create a digital destination ecosystem by recommending activities and evaluating score of ecosystem configuration.
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    Description: 碩士
    國立政治大學
    資訊管理學系
    104356026
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104356026
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

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