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    ASIA unversity > 管理學院 > 經營管理學系  > 期刊論文 >  Item 310904400/18391

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18391

    Title: 產業群聚與企業經營模式關聯性之探討—以臺灣精密機械產業為例
    Authors: 陳坤成;James, K.C.Chen;袁建中;Benjamin, J.C.Yuan
    Contributors: 經營管理學系
    Keywords: 產業群聚;企業經營模式;精密機械產業;創新系統;Industry cluster;Business operation model;Precision machinery industry;Innovation systems
    Date: 2008-09
    Issue Date: 2012-11-26 12:48:03 (UTC+8)
    Abstract: 近年來中國大陸、東南亞、臺灣等國家各產業群聚蓬勃發展,對亞洲整體經濟發展將有實質影響。台灣企業因環境因素、上下供應鏈、便於服務客戶與勞動市場等因素,紛紛到大陸/海外投資設廠以解決經營上的困境,大陸地區已蔚為世界生產製造中心之趨勢。本研究之目的在探討產業群聚與企業經營模式關聯性之探討。本研究以臺灣精密機械相關產業為例,透過專家訪問法、因素分析(factor analysis)與規則相關分析,並利用Hamel (2000)所提之經營模式理論為基礎,以探索性研究方法來探討產業選擇群聚、產業形成原因與企業經營模式之關聯性。研究結果發現:(1)選擇群聚時以「衛星工廠支援性」變項為第一優先考量;(2)產業群聚形成以「群聚可享協力廠商便利」變項為第一優先考量;(3)企業經營模式以「提升物料供應便利性程度」變項為第一優先考量;(4)產業選擇群聚構面與企業經營模式構面呈顯著相關,兩構面下各因素具有預測對方及相互解釋能力;(5)產業群聚形成構面與企業經營模式構面呈顯著相關,兩構面下各因素具有預測對方及相互解釋能力。經資料分析結果發現產業群聚能提升企業整體經營效益,所以產業群聚與企業經營模式具有關聯性。

    According to that China, Southeast Asia, and Taiwan had prosperous development industry cluster. This growth of industry cluster has significantly influenced local economics. Factors such as of environment, supply chain, customer service, and human resources market, have encouraged Taiwanese enterprise move to China/overseas, thus making China a world production center. The purpose of this research discussed how the business operation model is associated with industry clusters. This paper utilizes ”Taiwan precision machinery” as a case study and applies to the interview expert method, factor analysis and canonical correlation analysis. Then based on the Famel operations model theory (2000) to explore precision industry's alternative cluster, cluster formatting and business operation model relationship with exploration method. The result reveals: (1) ”supports of related industries” variables is the most priority for alternative cluster; (2) ”convenience of collaboration cooperation” variables is the most priority for formation cluster; (3) ”convenience of material supply” variables is the most priority for business operation model; (4) industry alternative cluster domain was associated with business operation model, these factors of two domains can predicted and explained each others; (5) industry cluster formation domain was associated with business operation model, these factors of two domains can predicated and explained each others. The data analysis result was discovered industry clusters enable rise up business operation efficiency, the business operation model was associated with industry clusters.
    Relation: 科技管理學刊,13(3),87-125.
    Appears in Collections:[經營管理學系 ] 期刊論文

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