Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 吳仕全 | en_US |
dc.contributor.author | Shih Chuan Wu | en_US |
dc.contributor.author | 唐瓔璋 | en_US |
dc.contributor.author | 王耀德 | en_US |
dc.contributor.author | Edwin Tang | en_US |
dc.contributor.author | Yau-De Wang | en_US |
dc.date.accessioned | 2014-12-12T01:17:43Z | - |
dc.date.available | 2014-12-12T01:17:43Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT009531538 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/39092 | - |
dc.description.abstract | 在本研究中,我們試圖探究現今台灣電子資訊公司最適切的營運策略,並加以進行策略族群的區隔。 由台灣經濟新報(TEJ Data Bank)290家上市的電子資訊公司作為研究樣本,由於我們無從得知每家公司的營運管理能力,本研究由財務數據出發,建立一套研究架構並提出簡易的準則來評估管理能力。首先,我們蒐集了十四項財務指標,並進行主成份因素分析,將財務指標和其背後的管理意涵萃取為六項主要管理能力:規模管理能力、知識管理能力、輕資產管理能力、關係管理能力、永續力管理能力、固定資產管理能力。 依據六項主要管理能力準則,我們進行K-means集群分析,每家電子資訊公司將被分入其中一個策略族群,實證數據得出四組策略族群。接下來,我們將檢驗不同策略族群與營運績效之間是否具有顯著影響關係?是否存在某一策略族群營運表現最佳?最後,我們將研究發現、研究貢獻及未來研究方向加以彙整。 | zh_TW |
dc.description.abstract | In this article, we want to find out appropriate strategy and make some managerial suggestions for electronic companies in Taiwan. We take the listed 290 electric companies as our research sample from Taiwan Economic Journal Data Bank (TEJ Data Bank). Since we could not directly observe the management capabilities from each company, this paper start from the financial data to create a framework to provide simple principle to examine the management capabilities. We collect fourteen financial indicators in advance and conduct Principle Component Analysis (PCA) to find out the main factors related to managerial implications. There are six major management capabilities we derive, which are Scale management, Knowledge management, Light-assets management, Relationship management, Continuity management, and Fixed-assets management. Based on the six management factors, we conduct K-means Cluster Analysis, which classify the electric industry into four strategic groups. In the end, we examine the configuration-performance relationship and derive the most ideal configuration for the electric industry. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | 電子資訊業 | zh_TW |
dc.subject | 主成份因素分析 | zh_TW |
dc.subject | 集群分析 | zh_TW |
dc.subject | 管理能力 | zh_TW |
dc.subject | electric industry | en_US |
dc.subject | principle component analysis | en_US |
dc.subject | K-means cluster analysis | en_US |
dc.subject | management capability | en_US |
dc.title | 電子產業營運策略族群分析 | zh_TW |
dc.title | Operating Strategy Groups in Electric Industry | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 管理科學系所 | zh_TW |
Appears in Collections: | Thesis |
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