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研究生:殷尚宇
研究生(外文):YIN, SHANG-YU
論文名稱:以文字探勘方法探討智慧製造之資源共享對企業策略之影響
論文名稱(外文):Using Text Mining to Explore the Impacts of Resource Sharing of Smart Manufacturing on Firm Strategy
指導教授:江艾軒江艾軒引用關係
指導教授(外文):CIANG, AI-HSUAN
口試委員:施人英李庭閣
口試委員(外文):SHIH, JEN-YINGLEE, TING-KO
口試日期:2020-05-14
學位類別:碩士
校院名稱:銘傳大學
系所名稱:國際企業學系碩士班
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:2020
畢業學年度:108
語文別:中文
論文頁數:86
中文關鍵詞:智慧製造知識共享產能共享資源共享客製化策略低成本策略文字探勘
外文關鍵詞:Smart ManufacturingKnowledge SharingResource SharingCapacity SharingCustomization StrategyLow-cost StrategyText Mining
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隨著工業4.0的時代來臨,智慧製造已成為製造業的趨勢,智慧製造可以強化生產彈性而製造出客製化的產品,此外,減少勞動力的僱用使企業能夠降低所支付的各項成本。此外,根據先前研究,透過資源間的共用與分享能夠使企業獲得更大之效益,因此本研究想探討,當企業進行智慧製造下的產能共享與知識共享時,如何影響企業實行客製化策略與低成本策略。
本研究藉由文獻探討歸納出各個變數,以「員工人數」、「資本額」、「營業額」做為控制變數,探討企業進行「產能共享」、「知識共享」與「智慧製造科技」,可能會使「營運效率之低成本策略」、「資產使用效率之低成本策略」、「研發之客製化策略」及「利潤之客製化策略」的提升。透過文字探勘的方法,利用台灣經濟新報(TEJ),蒐集280家的電子製造業公司進行資料庫的採集及分析。研究結果顯示,智慧製造科技對於企業實行低成本策略或是客製化策略並沒有顯著影響,企業進行產能共享時,對於企業選擇低成本策略有正向影響。也就是說產能共享時能提升營運及資產使用的效率。若是企業實行知識共享,則對於企業選擇客製化策略與低成本策略皆有正向影響。本研究結果說明當企業在智慧製造下,其所選擇之策略與資源共享行為如果可以匹配,才能發揮智慧製造帶來之效益。
With the advent of Industry 4.0, smart manufacturing has become a trend in manufacturing. Smart manufacturing can strengthen the capabilities of flexibility and customization. For example, the labor force reduction enables companies to reduce the costs. Besides, companies can further obtain benefits through the resource sharing. Therefore, the purpose of this study is to explore how companies can choose between customization and low-cost strategies when implementing resource sharing in an Industry 4.0 environment.
This study considers the number of employees, the age of the enterprise and the turnover to be control variables. Capacity sharing, knowledge sharing and intelligent manufacturing technology are independent variables, which may lead to the different strategies. This research used the Taiwan Economic Journal (TEJ) as research data. Finally, 280 electronic manufacturing companies were collected. Results show that intelligent manufacturing technology has no significant impact on the low-cost strategy or customization strategy. Second, when share capacity was implemented, capacity sharing has a positive influence on the choice of low-cost strategy. If the enterprise implements knowledge sharing, knowledge sharing has a positive impact on the both choice of low-cost and customization strategies. Managerial implication is that strategies should match the types of resource sharing when firms implements intelligent manufacturing.
目 錄 I
圖 目 錄 IV
表 目 錄 V
第壹章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與範圍 5
一、研究目的 5
二、研究範圍 5
第三節 研究流程 6
第貳章 文獻探討 8
第一節 智慧製造 (Smart Manufacturing) 8
第二節 數位轉型 (Digital Transformation) 12
第三節 資源共享 (Resource Sharing) 13
第四節 競爭策略 (Competitive Strategy) 19
第五節 文字探勘 (Text Mining) 23
第參章 研究方法 26
第一節 文字探勘流程 26
第二節 研究架構 28
第三節 假設建構 29
第四節 變數定義與衡量 33
一、自變數 33
二、應變數 35
三、控制變數 36
第五節 樣本與資料來源選取 37
一、樣本選取 37
二、資料來源 37
第六節 資料分析方法 37
一、敘述性統計 (Dcriptive Satistics) 38
二、相關係數分析 (Analysis of Correlation) 38
三、多元迴歸分析 (Multiple Regression Analysis) 38
第肆章 資料分析與結果 39
第一節 樣本分析 39
第二節 文字探勘結果 40
第三節 敘述性統計 44
第四節 相關性分析 46
第五節 假說驗證與迴歸分析 48
一、營運效率低成本之迴歸分析 50
二、資產使用低成本之迴歸分析 52
三、研發客製化之迴歸分析 54
四、利潤客製化之迴歸分析 56
第伍章 結論與建議 57
第一節 討論 58
一、智慧製造科技對策略之影響 58
二、產能共享對策略之影響 59
三、知識共享對策略之影響 60
四、產能共享與知識共享之交互作用 60
第二節 研究貢獻與管理意涵 61
一、研究貢獻 61
二、實務意涵 61
第三節 研究限制與建議 62
參考文獻 63
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