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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/11987


    Title: 開採型經營模式之探討-貝氏網路模擬平台之建構應用;A Research on Exploitatative Business Model: Construction and Application of a Simulation Platform on Bayesian Network
    Authors: 余權倫;Chuan-Lun Yu
    Contributors: 企業管理研究所
    Keywords: 經營模式;因果脈絡圖;伺服;樞軸;開採;探勘;併用;Nvivo;Pajek;BayesiaLab;business model;causal map;exploitative;exploratory;ambidextrous
    Date: 2008-07-08
    Issue Date: 2009-09-22 14:36:46 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 當經營模式的活動越多,活動間的影響關係越複雜,要瞭解其經營模式的內涵越 不容易,而其經營模式內的活動也不易操弄。故本研究嘗試以因果脈絡圖來分析經營 模式,以更簡化和視覺化的方式來呈現經營模式,也進一步操弄這些經營活動元件, 並使用Nvivo 分析軟體來輔助紮根分析過程,同時也利用Pajek 軟體幫助本研究繪出 經營元件因果脈絡圖,最後使用BayesiaLab 軟體協助本研究做有關經營模式間的分 析。 為了瞭解樞軸型企業進一步創新演進成樞軸型企業各種可能的狀況,利用本研究 所建立的16 分類經營模式,並建立一個具紮根基礎的模擬試驗平台,藉由經營模式 內活動元件關係的操弄,探討兩經營模式間的移動,其經營活動會有怎樣的聯繫關 係,還有利用經營活動元件設定不同情境,觀察其對標的元件的影響,而主要的觀察 經營活動元件為以伺服骨幹、樞軸及兩者兼具的併用型骨幹元件為主。 As a company engages in more and more business activities, relations amongst these activities tend to get increasingly complicated. In order to explore the connotations underlying these activities, the research aims to construct an experimental platform to manipulate causal maps and simulate Bayesian Networks built upon elements representing corresponding business activities. Through this platform, the research hopes to explore the various ways in which an exploitative organization can further enhance her exploitative activities for higher profit margin, as well as to identify the business elements which pose the greatest effect on profit margin. The research adopts a qualitative and quantitative approach to gain better understanding of the casual relationships among these business elements. The qualitative part of this research includes grounded coding of the interview transcripts, construction of causal maps using elements extracted through grounded coding, and finally structural analysis of the casual maps. The software utilized are Nvivo, Pajek and Ucinet. The quantitative part of this research includes construction of Bayeisan Networks from the causal maps, and simulation of the degree of causal influence among the business elements. The software utilized is BayesiaLab. This research has proposed a 16-grid typology which serves possible directions for innovative improvement of the target company. In addition, the research has also constructed core element frameworks suited for exploitative, exploratory and ambidextrous organizations respectively to aid in the analysis. The proposals mentioned above could serve as a general guideline for future works on business model innovation.
    Appears in Collections:[企業管理研究所] 博碩士論文

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