| 研究生: |
高正山 Kao, Cheng-Shan |
|---|---|
| 論文名稱: |
新冠肺炎疫情與中美貿易戰對半導體產業供應鏈重組的影響分析 An Investigation of the Effects of the COVID-19 Pandemic and US-China Trade War on the Reconstruction of Semiconductor Supply Chain |
| 指導教授: |
呂執中
Lyu, Jr-Jung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 高階管理碩士在職專班(EMBA) Executive Master of Business Administration (EMBA) |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 中文 |
| 論文頁數: | 77 |
| 中文關鍵詞: | 新冠肺炎 、中美貿易戰 、網路層級分析法 、供應鏈重組 、半導體產業 |
| 外文關鍵詞: | COVID-19, Chin-US Trade War, Analytic Network Process, Supply Chain Reconstruction, Semiconductor Industry |
| 相關次數: | 點閱:234 下載:125 |
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| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
受新冠肺炎疫情和美中貿易衝突影響,全球供應鏈正加快重組,而半導體產業更是台灣最為重要產業,在美國與中國都想建立自己的半導體供應鏈的情況下,臺灣半導體產業實在難以置身事外,而半導體產業前往美國設廠則必須面臨供應鏈重組的問題,但其影響因素為何目前還是未知的情況。本研究將從研究文獻與產業報告做為研究基礎,透過專家意見彙整探討新冠疫情與中美貿易戰對半導體產業供應鏈重組的影響與分析,藉此歸納出新冠疫情與中美貿易戰對半導體產業供應鏈重組之影響分析與因應策略,並做為半導體產業在進行供應鏈重組時的參考依據,此為本研究主要研究動機。
本研究將運用網路層級分析法來進行分析,並進一步藉由產官學研代表的專業角度來評估各構面間及各細項指標間的相對重要性,計算權重並排序後,瞭解各構面與各細項指標間的之重要度,以了解半導體產業在進行供應鏈重組時的評估決策項目。問卷分成兩階段,第一階段透過產業報告和參考文獻建構出三大指標構面分為「戰略合作」、「供應鏈管理」、「企業內部本身」與擬定十二項細項指標。第二階段以網路層級分析法進行專家問卷,分析要素間的相互關係並計算權重,歸納出影響半導體產業供應鏈重組之影響分析與因應策略。
結果顯示,本研究提出影響半導體產業供應鏈重組的三大構面中,「供應鏈管理」構面占比0.387為最高相對權重值。在戰略合作構面中,以「研發技術合作」占比0.143為最高相對權重值。在供應鏈管理構面中,以「尋找在地供應商」占比0.108為最高相對權重值。在企業內部本身構面中,以「投報率」占比0.080為最高相對權重值。由此本研究成果可建議半導體業者在面臨供應鏈重組時,首先要先尋找到在地半導體供應商,使其建立在地半導體供應鏈體系,並進一步與其他相關高科技業者進行研發技術之戰略合作,藉此強化半導體業者自身的實力,也降低半導體供應鏈重組所產生的衝擊。
關鍵字:新冠肺炎、中美貿易戰、網路層級分析法、供應鏈重組、半導體產業
The reconstruction of global supply chain has been accelerated due to the pandemic of COVID-19 and China–United States trade war. In the light of the importance of semiconductor industry in Taiwan, it was inevitable that these semiconductor companies had to move to US to satisfy its economic tactics as well as to confront to the issue of the reconstruction of supply chain. Albeit the cause and effect are still unknown, the motivation of the study was attempting consolidated through expert opinions to induce the influences and strategies of how the pandemic of COVID-19 and the China-US trade war affected the reconstruction of the supply chain of the semiconductor industry, by scrutinizing relevant research and reports.
This research will use the analytic network process and the importance of each structure and detail indicator made by the professionals, the superiorities of each structure and detail indicators would be weighed in sequence, to understand being decisive items of supply chain reconstruction. The questionnaire survey comprised two stages, the first one established three structures, which were tactic cooperation, supply chain management, and the enterprise itself, and twelve detail indictors by searching industrial reports and literature review. The second one was to analyze the relationships between factors and to weigh each one of them, and then to induce relevant effects and strategies by professional questionnaire.
The results shown that within the three structures, “supply chain management” earned the highest values of weight, 0.387. Within the structure of tactic cooperation, “the cooperation of research and development” earned the highest values of weight, 0.143. Within the structure of supply chain management,“searching local suppliers” earned the highest values of weight, 0.108. Within the structure of enterprise itself, “return on investment” earned the highest values of weight, 0.080. Hence, the study recommended semiconductor companies should initially search out local suppliers and established local supply chain system when facing supply chain reconstruction. Then, to cooperate with high-tech companies to make tactic collaboration in research and development, strengthening the competence of the company on one hand and reducing the impacts of reconstruction on the other.
Keywords: COVID-19, Chin-US Trade War, Analytic Network Process, Supply Chain Reconstruction, Semiconductor Industry
于國欽(2020),疫情衝擊!主計總處大幅下修首季經濟預測,工商時報,2020年2月12日。
中央廣播電台(2020)。美中貿易戰場擴及半導體 台廠:努力自我提升。https://www.rti.org.tw/news/view/id/2081143
王健全(2020)。新冠肺炎/美中貿易戰後臺灣的經濟希望工程。經濟前瞻,189,9-17。
台經社論(2020)。因應貿易戰、新冠肺炎疫情後的產業策略方向。https://www.tier.org.tw/comment/tiermon202004.aspx
江文基(2021)。美國推動「經濟繁榮網路」供應鏈重組對臺灣之意涵。經濟前瞻,193,101-106。
巫坤亮(2020),製鞋業在中美貿易戰下的因應策略-以A公司為例,國立臺北科技大學管理學院EMBA碩士論文。
李先莉、陳俊安、莊千儀(2012)。以DEMATEL及ANP探討中小型半導體通路商之企業成長策略。Journal of Data Analysis,7(3),65-85。
李沃牆(2020)。美中經濟新冷戰傷全球經濟成長」,會計研究月刊,396,16-21。
姚勝雄(2020)。2020年台灣產業趨勢展望。https://www2.deloitte.com/tw/tc/pages/about-deloitte/articles/2020-industries-outlook.html
科技新報(2020)。張忠謀曾預言台積電將成地緣政治必爭之地,如今赴美設廠預言成真。https://technews.tw/2020/05/15/tsmc-to-us-comment/
范振(2020)編譯,憂新冠肺炎影響供應鏈 世銀下修全球經濟預測,聯合晚報,2020年2月5日。
高長(2020)。COVID-19(武漢肺炎)疫情衝擊與全球供應鏈重整。展望與探索,18(6),63-79。
陳子昂(2021)。後疫情時代全球供應鏈重組對臺商產業佈局的機遇。https://www.seftb.org/cp-4-1055-c6027-1.html
陳韋達(2016)。應用網路程序分析法建構台灣餐飲連鎖品牌加盟者評估量表。朝陽科技大學企業管理系碩士論文。
陳添枝、顧瑩華(2020)。COVID-19對全球產業供應鏈的影響及臺灣的挑戰。經濟前瞻,191,28-34。
陳鴻達(2020)。嚴重特殊傳染性肺炎疫情後全球產業版圖變 化對臺灣產業及銀行業之影響。台灣金融研訓院109年研究計畫。
温蓓章、張乃瑄(2020)。再區域化趨勢下,協助廠商從技術面提升製造供應鏈的韌性。經濟前瞻,189,78-83。
黃士滔、楊婷詒 (2014),運用 ANP 與階層式灰關聯探討未分類其他金屬製品製造業之供應商評選,工程科技與教育學刊,11(1),113-130。
黃士滔、楊婷詒(2014)。運用ANP 與階層式灰關聯探討未分類其他金屬製品製造業之供應商評選。工程科技與教育學刊,11(1),113-130。
黃營芳、林文慶(2008)。以 AHP 法分析海生館委外經營模式之關鍵成功因素。工程科技與教育學刊,5(2),200-222。
楊欣倫(2020)。後疫情時期廠商如何因應全球供應鏈重組。兩岸經貿網,後疫情時期廠商如何因應全球供應鏈重組
楊建平(2020)。新冠肺炎對拉丁美洲的衝擊與中國的防疫外交。拉丁美洲經貿季刊,42,6-24
楊書菲(2020)。後疫情時代全球產經趨勢及企業的因應策略。經濟前瞻 ,191 ,35-41。
楊筱筠(2020),星展下修臺灣GDP成長預測,經濟日報,2020年2月1日。
經濟日報(2021)。台積電衝刺美國佈局要蓋六個廠。https://money.udn.com/money/story/5612/5284669
鉅亨網(2020)。星展:美中貿易角力白熱化 恐衝擊我半導體產業優勢。https://news.cnyes.com/news/id/4503078
榮泰生(2011)。Expert Choice在分析層級程序法(AHP)之應用,台北市,五南出版社。
劉佩真(2020a)。中國重整供應鏈之去美國化趨勢下的台灣科技商機。台灣經濟研究院產經資料庫。
劉佩真(2020b)。台美MOU半導體將列為優先項目 國家戰略地位確立。台灣經濟研究院產經資料庫。
謝承評(2020)。COVID-19(武漢肺炎)對兩岸與全球供應鏈影響分析。展望與探索月刊,18(4),30-37。
簡俊諒(2011)。運用DEMATEL與ANP方法探討直 升機飛安管理。中華大學科技管理學系碩士論文。
簡竣諒(2011),運用DEMATEL與ANP方法探討直升機飛安管理,中華大學科技管理學系碩士倫文。
顧瑩華(2020)。美中衝突對全球產業供應鏈的影響及臺灣的角色。經濟前瞻,190,99-103。
Bown(2020). How the United States marched the semiconductor industry into its trade war with China. Peterson Institute for International Economics Working Paper, 20-16, 1-34.
Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289.
Mayor, V. L. I. Khalid, F. & Ahmed, N. M. (2021). EU–Asian–American Partnership for a Third Industrial Revolution: Transitioning to High Productivity, Sustainable Infrastructures in the Age of COVID‐19. Global Policy, 2021, 1-12
Moench, L. Uzsoy, R. & Fowler, J. W. (2018). A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment. International Journal of Production Research, 56(13). 4565-4584.
Nunnally, J. C. (1978). Psychometric Theory. New York: Mcgraw-Hill.
Patrick, H. & Eugene, K. (2020). E-strategies for aftermarket facilitation in the global semiconductor manufacturing industry. Journal of Enterprise Information Managemen. https://www.researchgate.net/publication/339934504_E-strategies_for_aftermarket_facilitation_in_the_global_semiconductor_manufacturing_industry
Polit, D. F. & Beck, C. T. (2006). The validity index: Are you sure you know what''s being reported? Critique and recommendation. Research in Nursing & Health, 29, 489-497.
Reilly, M. & Lee, C. Y. (2021). Brexit, Supply Chains and the Contest for Supremacy: The Case of Taiwan and the Semiconductor Industry. A New Beginning or More of the Same? 183–203.
Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operation Research, 48(1), 9-26.
Saaty, T. L. (1996). The analytic network process. Pittsburgh: RWS Publications.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
Shin, N. Kraemer, K. L. & Dedrick, J. (2017). R&D and firm performance in the semiconductor industry. Industry and Innovation, 24(3), 280-297.
Uzsoy, R. Fowler, J. W. & Moench, L. (2018). A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning. International Journal of Production Research, 56(13). 4546-4564.
Varas, A. Varadarajan, R. Goodrich, J. & Yinug, F. (2020). Government Incentives and US Competitiveness in Semiconductor Manufacturing. BCG X Semiconductor Industry Association. https://www.semiconductors.org/resources/government-incentives-and-u-s-competitiveness-in-semiconductor-manufacturing/
Waltz, C., Strickland, O., & Lenz, E. (1991). Measurement in Nursing Research. Philadelphia: F.A. Davis Company.
Wang, C. H. & Chen, J. Y. (2019). Demand forecasting and financial estimation considering the interactive dynamics of semiconductor supply-chain companies. Computers & Industrial Engineering, 138.
https://www.sciencedirect.com/science/article/abs/pii/S036083521930573X?via%3Dihub
Yu, Z. Asif Razzaq, A. Abdul Rehman, A. Adeel Shah, A. Jameel, K. & Mor, R. S.(2021). Disruption in global supply chain and socio-economic shocks: a lesson from COVID-19 for sustainable production and consumption. Operations Management Research,18, 1-16