併用型經營模式之探討─貝氏網路模擬平台之建構應用; A Research on Ambidextrous Business Model: Construction and Application of a Simulation Platform on Bayesian Network

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/12059

Title:	併用型經營模式之探討─貝氏網路模擬平台之建構應用;A Research on Ambidextrous Business Model: Construction and Application of a Simulation Platform on Bayesian Network
Authors:	鄭琇文;Shiou-wen Cheng
Contributors:	企業管理研究所
Keywords:	伺服;樞軸;經營模式;因果脈絡圖;探勘;併用;骨幹;開採;Pajek;Nvivo;BayesiaLab
Date:	2008-07-09
Issue Date:	2009-09-22 14:38:31 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	當企業經營模式內的活動越多，則活動間的影響關係也會變得越來越複雜，因此也越不容易瞭解其經營模式之內涵。而也由於經營模式內的活動不易操弄，故本研究想嘗試以因果脈絡圖的方式來分析經營模式，建立一個具簡化和視覺化的模擬平台來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。為了瞭解併用型企業強化其經營模式之各種可能的狀況，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，以及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 ways in which an Ambidextrous organization can further enhance her exploitative and 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. The software utilized is BayesiaLab. 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.
Appears in Collections:	[Graduate Institute of Business Administration] Electronic Thesis & Dissertation

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