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研究生:李柏勳
研究生(外文):Po-hsun Lee
論文名稱:經營模式創新模擬平台之研究—以開採型演進至併用型為例
論文名稱(外文):A Research on Simulation Platform for Business Model Innovation: Evolution from Exploitative to Ambidextrous Organization
指導教授:蔡明宏蔡明宏引用關係
指導教授(外文):Ming-hung Chua
學位類別:碩士
校院名稱:國立中央大學
系所名稱:企業管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:288
中文關鍵詞:開採併用因果脈絡圖經營模式探勘
外文關鍵詞:AmbidextrousCausal MapExploitationBusiness Model
相關次數:
  • 被引用被引用:9
  • 點閱點閱:135
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
當經營模式的活動越多,活動間的影響關係越複雜,造成經營模式的內涵越不容易了解,而其經營模式內的活動也不易運作。故本研究嘗試以紮根因果脈絡圖來分析經營模式內部的活動與資源,並以貝氏機率理論建立經營模式的創新模擬平台,提供進一步操弄這些經營模式元件的機會。而本研究透過建立16分類經營模式,提供企業經營模式創新改善的途徑建議。
此外,本研究也提出開採、探勘以及併用三種經營模式核心骨幹的架構,形成經營模式創新改善的主軸。透過上述的平台以及改善方式,本研究希望藉由經營模式內開採以及併用相關活動元件的操弄,探討企業如何基於既有的開採型特徵,學習探勘新資源的能力,以獲得更高的企業實質收益與市場機會,同時也觀察並找出對企業實質收益與市場機會造成重大影響的關鍵經營模式元件。
本研究為了對經營活動的因果脈絡有更好的理解,同時採用質性與量性的研究方法進行分析。在質性的部份,本研究透過對訪談個案文本經營模式因果脈絡的紮根編碼,並配合Nvivo、Pajek、Ucinet等分析軟體,將已編碼的元件轉為經營模式的因果脈絡圖。而在量性的部份,本研究將因果脈絡圖導入貝氏網路,透過BayesiaLab軟體的協助,以機率理論模擬經營模式元件間影響程度的高低,並找出經營模式中主要的脈絡。
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. This research has proposed a 16-grid typology which serves possible directions for innovative improvement of the target company.
The research has also constructed core element frameworks suited for exploitative, exploratory and ambidextrous organizations respectively. Through the platform mentioned above, the research hopes to explore the ways in which an exploitative organization can enhance her existing exploitative activities and learn new exploratory activities for higher profit margin and better market opportunities. As well as to identify the business elements which pose the greatest effect on profit margin and market opportunities.
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. As well as discovering the dominant skeleton of the business model. The software utilized is BayesiaLab.
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 4
第三節 研究架構與章節概述 7
第二章 文獻回顧 9
第一節 經營模式的演進 9
第二節 因果脈絡圖之發展與應用 42
第三節 貝氏網路圖之發展與應用 51
第三章 研究方法 54
第一節 經營模式元件之紮根分析 54
第二節 因果脈絡圖之結構分析 57
第三節 經營模式因果脈絡之貝氏分析 61
第四章 經營模式之實證建構與型態歸類 75
第一節 經營模式元件之萃取 75
第二節 經營模式因果脈絡圖之建構 86
第三節 經營模式基本性質之分類 102
第五章 經營模式骨幹之分析 112
第一節 經營模式元件之篩選 112
第二節 樞軸型骨幹之內涵 121
第三節 伺服型骨幹之內涵 124
第四節 併用型骨幹之內涵 128
第六章 開採型個案經營模式創新改善方案分析 133
第一節 開採型目標個案T現有元件互動關係之創新改善 133
第二節 開採型目標個案T的經營模式分類與創新改善方案 139
第三節 開採型目標個案T對照標竿企業A之創新改善方案 142
第四節 開採型目標個案T對照標竿企業B之創新改善方案 154
第五節 T個案各種改善途徑之MDL值比較 166
第七章 T公司經營模式創新之情境模擬 168
第一節 不同創新方案下標的元件之前因傳導分析 168
第二節 不同創新方案下標的元件之既定情境模擬分析 190
第八章 結論 218
第一節 研究發現 218
第二節 實務建議 228
第三節 後續研究建議 228
第四節 研究限制 229
參考文獻 233
附錄一 Level 1.5元件內容 241
附錄二 個案基本性質描述 247
附錄三 Bonacich’s power centrality 解集合重點摘要 278
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三、網路資料
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2.Stahler, P., 2002, ‘Business Models as an Unit of Analysis for Strategizing,’ Patrick.Staehler@alumni.unisg.ch.
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