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研究生:李軒丞
研究生(外文):Hsuan-Cheng Lee
論文名稱:台灣中小型製造業的數位轉型研究 -以V個案公司為例
論文名稱(外文):Research on the Digital Transformation of Small and Medium-Sized Manufacturing Industry in Taiwan-Taking Case V Company as an Example
指導教授:葉穎蓉葉穎蓉引用關係
指導教授(外文):Ying-Jung Yeh
口試委員:鄭仁偉呂志豪
口試委員(外文):Jen-Wei ChengShih-Hao Lu
口試日期:2022-06-28
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:管理學院MBA
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2022
畢業學年度:110
語文別:中文
論文頁數:45
中文關鍵詞:中小型製造業數位轉型組織變革關鍵成功因素
外文關鍵詞:Small and medium-sized manufacturing industryDigital transformationOrganizational changeCritical success factor
相關次數:
  • 被引用被引用:1
  • 點閱點閱:140
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
台灣經濟成長高度依賴出口,而中小型製造產業曾經造就了台灣出口外銷的輝煌,之後台灣製造業憑藉著技術優勢,在全球生產代工的體系中佔有一席之地,進而帶動經濟成長與出口。在全球性的策略佈局上,台灣的製造廠商過去以工廠立足中國,放眼國際客戶的策略取得很大的競爭優勢,不過近年來新興經濟體憑藉廣大的市場規模以及更低廉的勞動力崛起,全球的製造版圖也因此有了不小的波動。
台灣有九成以上為中小企業,在全球產業的角力下,紛紛出現成長率下滑以及利潤空間減少的情況,而台灣的中小型製造業則希望藉由數位轉型的手段,讓自身良率、流程優化、品質穩定。本研究希望藉由分析個案公司在面對衝擊時的數位轉型歷程,去推導出相似規模與模式的企業在面對數位轉型時,會遭遇到的問題、與轉型的方式。
本研究期盼透過質化研究的方式,尋找適用於中小型製造業進行數位轉型的管理意涵。
本研究選擇單一個案進行,運用訪談法作為深入研究的手段,並透過質化研究的章程去歸納出中小型製造業欲進行數位轉型時,能透過以下幾點訪談中所得出的結果,獲得對企業進行數位轉型時可供參考的重點項目。

一、 中小型製造業需要進行數位轉型的因素
二、 數位轉型的評估
三、 在數位轉型中所遭遇的組織調整
四、 數位轉型的標準流程
五、 數位轉型的成功因素
Taiwan's economic growth is highly dependent on exports. The small and medium-sized manufacturing industry once created the glory of Taiwan's export. After that, Taiwan's manufacturing industry took a place in the global OEM system with its technological advantages. It has driven Taiwan's economic growth and exports. In terms of global strategic layout, Taiwanese manufacturers are used to base on their factories in China and gain a great competitive advantage by focusing on international customers. However, in recent years, emerging economies have risen by virtue of their vast market size and cheaper labor, and the global manufacturing layout has also fluctuated a lot.
More than 90% of Taiwan's enterprises are small and medium-sized. Under the competition of global industries, there have been cases of declining growth rates and reduced profit margins. Taiwan's small and medium-sized manufacturing industries hope to make their products better, also their processes more optimized, and even their qualities more stable by practicing digital transformation. This research is mainly expected to analyze when the case company encountering the impact of digital transforming, what kind of dilemmas they may have and how to solve the problems by simulating similar sized companies or patterns which fit to solve this situation in manufacturing industry as reference.
This research hopes to find the management implications of digital transformation for small and medium-sized manufacturing industry through qualitative research.
This research chooses one single case to executive the practical research by using practical and complete interview and qualitive research steps to finalize, when manufacturing industry facing digital transforming stage, there will be some important cores to consider as below mentioned:

1. Factors which needed digital transforming for small and medium-sized manufacturing industry
2. Evaluation of digital transformation
3.Organizational adjustment in digital transforming dilemma situation
4. Standard process for digital transformation
5. Success factors for digital transformation
摘要 i
Abstract ii
誌謝 iv
目錄 v
圖/表目錄 vi
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究流程 3
第二章 文獻探討 4
第一節 中小型製造業 4
第二節 數位轉型 7
第三節 組織變革 14
第三章 研究方法 17
第一節 研究架構 17
第二節 研究設計 18
第四章 研究結果與分析 26
第一節 營運面 26
第二節 結構面 28
第三節 人員面 30
第五章 結論與建議 33
第一節 研究結論與建議 33
第二節 研究限制與未來研究建議 35
參考文獻 37
中文文獻 37
英文文獻 37
網站資料 39
潘淑滿(2003),質性研究理論與應用 台北市:心理出版。
潘明宏、陳志偉譯(2003),最新社會科學研究方法 台北市:韋伯文化出版
鄭弘岳(2003)。組織內衝突與衝突管理研究之回顧與前瞻。應用心理研究,
20期,p.53-82
詹文男、李震華、周維忠、王義智、數位轉型研究團隊(2020)。數位轉型力:
最完整的企業數位化策略50間成功企業案例解析。台北市:商周出版。
經濟部中小企業處(2021),2021中小企業白皮書。

Aniruddha Wagire (2020). Development of maturity model for
assessing the implementation of Industry 4.0: learning from theory
and practice,
Berghaus, S., & Back, A. (2016, September). Stages in Digital
Business Transformation: Results of an
Empirical Maturity Study. In MCIS (p. 22).
Bharadwaj, A. S. (2000). A resource-based perspective on
information technology capability and firm performance: an
empirical investigation. MIS quarterly, 169-196.
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N.
(2013). Digital business strategy:
toward a next generation of insights. MIS Quarterly, 471-482.
Bogner, E., Voelklein, T., Schroedel, O., & Franke, J. (2016). Study
based analysis on the current digitalization degree in the
manufacturing industry in Germany. Procedia Cirp, 57,14-19.
Brown, S. T. and Duguid, P. (1991) Organizational Learning and
Communities-of -Practice: Toward a unified view of working,
learning, and innovation. Organizational Science, 2(1), pp. 40-57.
Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation:
Information technology, organizational transformation and
business performance. Journal of Economic perspectives, 14(4),
23-48.
Caiado, R. G. G., Scavarda, L. F., Gavião, L. O., Ivson, P., de Mattos
Nascimento, D. L., & Garza-Reyes, J. A. (2021). A fuzzy rule
based industry 4.0 maturity model for operations and supply chain
management. International Journal of Production.Economics,231,
107883.
Ganzarain,J & Errasti,N(2016). Three stage maturity model in
SME’s toward industry 4.0
Knezevich, S. J. (1984). Administration of public education: A
sourcebook for the leadership and management of educational
institutions. Harpercollins College Division.
Kotter, J. P. and Cohen, D. S.(2002) The heart of change: Real-life story of how
people change their organizations. Boston: Harvard Business School.
Lee, J., Jun, S., Chang, T. W., & Park, J. (2017). A smartness assessment framework
for smart factories using analytic network process. Sustainability, 9(5), 794.
Mike Walsh (2022), How to Navigate the Ambiguity of a Digital Transformation, Harvard
Business Review.
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry
4.0 readiness and maturity of manufacturing enterprises. Procedia Cirp, 52, 161-
166.
Schumacher, A., Nemeth, T., & Sihn, W. (2019). Road mapping towards industrial
digitalization based on an Industry 4.0 maturity model for manufacturin
enterprises. Procedia Cirp, 79, 409-414.
Scremin, L., Armellini, F., Brun, A., Solar-Pelletier, L., & Beaudry, C. (2021).
Towards a framework for assessing the maturity of manufacturing companies in
Industry 4.0 adoption. In Research Anthology on Cross-Industry Challenges of
Industry 4.0 (pp. 895- 925). IGI Global.
Wagire, A. A., Joshi, R., Rathore, A. P. S., & Jain, R. (2021). Development of
maturity model for assessing the implementation of Industry 4.0: learning from
theory and practice. Production Planning & Control, 32(8), 603-622.
Wischnevsky, J. D., & Damanpour, F. (2006). Organizational transformation and
performance: An examination of three perspectives. Journal of Managerial Issues,
104-128.
Willis, K. (2005). Theories and Practices of Development. London: Routledge.
Zheng, M., & Ming, X. (2017). Construction of cyber-physical system–integrated smart
manufacturing workshops: A case study in automobile industry. Advances in
Mechanical Engineering, 9(10), 1687814017733
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