Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/159247
|
Title: | 韌性動態:艾司摩爾的供應鏈創新 Resilience Dynamics: ASML’s Supply Chain Innovation |
Authors: | 李家安 Lee, Chia-An |
Contributors: | 蕭瑞麟 Hsiao, Ruey-Lin 李家安 Lee, Chia-An |
Keywords: | 供應鏈韌性 動態資源重組 風險辨識 敏捷回應 半導體產業 Supply Chain Resilience Dynamic Resource Risk identification Agile Response Semiconductor Industry |
Date: | 2025 |
Issue Date: | 2025-09-01 16:06:11 (UTC+8) |
Abstract: | 在全球供應鏈面臨愈趨頻繁且複雜的破壞性衝擊之際,韌性已成為企業維持營運與競爭優勢的核心能力。然而,過往學術與實務討論多聚焦於穩定性或敏捷性兩種典型策略,未能有效解釋企業如何在資源受限的現實情境中,進行創造性重組以應對連鎖性危機。本研究以半導體設備製造商艾司摩爾(ASML, Advanced Semiconductor Materials Lithography)為研究對象,藉由質性研究方法,深入分析其在COVID-19疫情、柏林工廠火災以及地緣政治出口限制三大危機下的韌性展現。本研究設計採取「風險辨識-資源重組-動態回應」之分析架構,解釋艾司摩爾如何超越靜態防禦,轉向動態重組的韌性策略。研究結果指出,艾司摩爾展現三種不同的風險感知模式:面對出口限制的預警型感知、柏林火災的反射型感知,以及疫情的轉化型感知。在資源重組層面,企業透過差異化調度、轉移型備援與跨部門整合,將危機壓力轉化為組織能力升級的動力。在動態回應方面,艾司摩爾建立制度內嵌型、制度轉化型與分散式應變三種回應機制,將臨時應變升級為組織的日常能力。本研究的核心貢獻在於提出供應鏈韌性的另一路徑:「動態重組韌性」,超越傳統穩定導向與調適導向的思維框架,強調企業應將危機視為制度創新的觸媒,透過預判式風險感知、模組化資源配置與跨域動態整合,實現從「撐過危機」到「借力危機」的典範轉移。此研究發現不僅為供應鏈韌性理論提供新的分析視角,也為高科技產業提供可行的管理啟發:競爭優勢不在於擁有更多資源,而在於能夠比別人更快、更準確地重新安排有限資源,在不確定中創造秩序。 As global supply chains confront increasingly complex disruptive shocks, resilience has emerged as a core capability for enterprises to maintain operations and competitive advantage. However, previous academic and practical discussions have predominantly focused on stability or agility as two archetypal strategies, failing to adequately explain how enterprises conduct creative reorganization under resource-constrained circumstances to address cascading crises. This study examines ASML (Advanced Semiconductor Materials Lithography), a semiconductor equipment manufacturer, through qualitative research methods to analyze its resilience performance during three major crises: the COVID-19 pandemic, the Berlin factory fire, and geopolitical export restrictions. The research design employs a “risk identification–resource reorganization–dynamic response” analytical framework to explain how ASML transcends static defense mechanisms and adopts dynamic resilience strategies. The findings reveal that ASML demonstrates three distinct risk perception modes: anticipatory sensing for export restrictions, reflective sensing for the Berlin fire, and transformative sensing for the pandemic. In resource reconfiguration, the company transforms crisis pressure into organizational capability enhancement through differentiated deployment, transferable redundancy, and cross-departmental integration. Regarding dynamic responses, ASML establishes three response mechanisms: institutionally embedded, institutionally transformative, and distributed emergency responses, upgrading temporary adaptations into routine organizational capabilities. The core contribution of this study lies in proposing an alternative pathway for supply chain resilience: “dynamic reconfiguration resilience.” This approach transcends traditional stability-oriented and adaptation-oriented frameworks by emphasizing that enterprises should view crises as catalysts for institutional innovation. Through anticipatory risk sensing, modularized resource allocation, and cross-domain dynamic integration, companies can achieve a paradigm shift from surviving crises to leveraging crises. These findings not only provide new analytical perspectives for supply chain resilience theory but also offer actionable insights for firms in general. Competitive advantage no longer depends on possessing more resources but on the ability to redeploy limited resources faster and more accurately than competitors, creating order within uncertainty. |
Reference: | 中文文獻 林福仁、林煜基,2003,「資訊分享以強化時基競爭力:臺灣半導體產業供應鏈資訊整合之研究」,《中山管理評論》,第 11 卷,第 3 期,第 533–570 頁。 屠益民、侯君溥、鄧祖漢,2006,「供應商代管庫存與跨國供應鏈模式之探討:以緊固件產業為例」,《中山管理評論》,第 14 卷,第 1 期,第 271–296 頁 姚成彥,2015,「虛實整合:特力屋電子商務的服務創新」,《中山管理評論》,第 23 期,第 1 卷,第 377-409 頁 陳信宏,2011,「科技採用的吸收困難:組織實務對制度環境的依存性」,《資訊管理學報》,第 18 卷,第 1 期,第 105–131 頁
英文文獻 Ambulkar, S., Blackhurst, J., & Grawe, S. 2015. Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33-34: 111-122. Bode, C., & Wagner, S. M. 2015. Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. Journal of Operations Management, 36: 215-228. Brusset, X., Ivanov, D., Jebali, A., La Torre, D., & Repetto, M. 2023. A dynamic approach to supply chain reconfiguration and ripple effect analysis in an epidemic. International Journal of Production Economics, 263: 108935. Chopra, S., & Sodhi, M. S. 2004. Managing risk to avoid supply-chain breakdown. Sloan Management Review, 46(1): 53-61. Christopher, M., Lowson, R., & Peck, H. 2004. Creating agile supply chains in the fashion industry. International Journal of Retail & Distribution Management, 32(8): 367-376. Christopher, M., & Peck, H. 2004. Building the resilient supply chain. The International Journal of Logistics Management, 15(2): 1-13. Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. 2007. The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1): 131-156. Duchek, S. 2020. Organizational resilience: A capability-based conceptualization. Business Research, 13(1): 215-246. Eckstein, D., Goellner, M., Blome, C., & Henke, M. 2015. The performance impact of supply chain agility and supply chain adaptability: The moderating effect of product complexity. International Journal of Production Research, 53(10): 3028-3046. Fischer, T., Geissdoerfer, M., & Güldenberg, S. 2020. Combining agility and standardization in crisis response: A paradox perspective on organizational resilience. Journal of Applied Behavioral Science, 56(3): 336-360. Goumagias, N., Fernandes, K. J., Nucciarelli, A., & Li, F. 2022. How to overcome path dependency through resource reconfiguration. Journal of Business Research, 145: 78-91. Ivanov, D., & Dolgui, A. 2020. Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10): 2904-2915. Kim, Y., Chen, Y., & Linderman, K. 2015. Supply network disruption and resilience: A network structural perspective. Journal of Operations Management, 33-34: 43-59. Klueter, T., Monteiro, F., & Dunlap, D. 2023. How firms contribute to collective resilience: Evidence from open innovation responses to the COVID-19 crisis. Academy of Management Journal. Lee, H. L. 2004. The triple-A supply chain. Harvard Business Review, 82(10): 102-112. Lee, N. 2021. Reconciling integration and reconfiguration management approaches in the supply chain. International Journal of Production Economics, 242(1): 108288. Malhotra, A., Gosain, S., & El Sawy, O. A. 2007. Leveraging standard electronic business interfaces to enable adaptive supply chain partnerships. Information Systems Research, 18(3): 260-279. Müller, M., & Fransoo, J. C. 2022. Ad-hoc supply chains during the COVID-19 pandemic: Cases, challenges and future directions. International Journal of Operations & Production Management, 42(13): 1-25. Paul, S. K., & Saad, S. M. 2005. A strategic approach to managing supply chain risks. Industrial Management & Data Systems, 105(6): 682-695. Rha, J. 2013. Ambidextrous supply chain Management as a dynamic capability: Building a resilient supply chain. Management Decision, 54(1): 2-23. Sheffi, Y. 2005. The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage. Cambridge, MA: MIT Press. Sheffi, Y., & Rice, J. J. 2005. A supply chain view of the resilient enterprise. Sloan Management Review, 47(1): 41-48. Shen, Z., & Sun, Y. 2021. Strengthening supply chain resilience during COVID ‐19: A case study of JD .com. Journal of Operations Management, 69: 359–383. Sonenshein, S., & Nault, K. 2023. When the symphony does jazz: How resourcefulness fosters organizational resilience during adversity. Academy of Management Journal, 67(3). Tang, C. S. 2006. Perspectives in supply chain risk management. International Journal of Production Economics, 103(2): 451-488. Teece, D. J., Pisano, G., & Shuen, A. 1997. Dynamic capabilities and strategic management. Strategic Management Journal, 18(7): 509–533. Thomas, D. C., & Douglas, A. 2021. Resource orchestration under network failure: Adaptive responses in supply chain resilience. Journal of Supply Chain Management, 57(3): 3-18. Wong, K. K. F., Tan, K. H., Ooi, K. B., Lin, B., & Dwivedi, Y. K. 2022. The rise of artificial intelligence in supply chains: A digital resilience perspective. International Journal of Production Economics, 245: 108391. Xiong, W., Wu, D. D., & Yeung, J. H. Y. 2024. Semiconductor supply chain resilience and disruption: Insights, mitigation and future directions. International Journal of Production Research. Zhao, X., Huo, B., Sun, L., & Zhao, X. 2013. The impact of supply chain risk on supply chain integration and company performance: A global investigation. Journal of Operations Management, 31(5): 306-318. |
Description: | 碩士 國立政治大學 科技管理與智慧財產研究所 112364109 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0112364109 |
Data Type: | thesis |
Appears in Collections: | [科技管理與智慧財產研究所] 學位論文
|
Files in This Item:
File |
Description |
Size | Format | |
410901.pdf | | 3906Kb | Adobe PDF | 1 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|