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| Title: | 伺服器新產品開發之模組化轉型:以 A 公司為例
Modularization Transformation in New Product Development of Server: A Case Study of Company A |
| Authors: | 朱怡璇
Chu, Yi-Hsuan |
| Contributors: | 吳豐祥
Wu, Feng-Shang
朱怡璇
Chu, Yi-Hsuan |
| Keywords: | 伺服器產業
新產品開發管理
新產品開發流程
整體式新產品開發模式
模組式新 產品開發模式
模組化
技術創新
組織變革管理
Server industry
new product development management
new product development process
Integrated New Product Development model
Modularized New Product Development model
modulization
technological innovation
organizational change management |
| Date: | 2024 |
| Issue Date: | 2024-09-04 14:00:04 (UTC+8) |
| Abstract: | 隨著物聯網的快速成長及2023年ChatGPT所激起人工智慧商用化的風潮，伺服器產業正面臨著市場需求變動和技術創新快速演進的挑戰，也隨著科技產業中市場需求和技術創新的快速變遷，傳統的整體式新產品開發模式（Integrated New Product Development）已難以應對多樣化的市場需求，相反地，模組式新產品開發模式（Modularized New Product Development）則越來越受到各界的重視（包括與AI發展相
關的伺服器產業）。然而，儘管2023年以來人工智慧技術及商業應用的爆發性成長，有關伺服器產業的新產品開發流程轉型卻少有學術界的探討，此外，過往研究多只關注於模組化設計對技術和產品層面的影響之探討，而對於模組化轉型的過程及其如何影響企業內部不同部門的協作和整合的相關研究卻是非常少，另外，過往文獻對模組式新產品開發轉型的效益探討也缺乏長短期觀點之區分，再者，有關新產品開發模式模組化與研發績效之間的關係的實證研究也是非常少。為了填補上述研究的缺口，本研究從組織變革的角度切入，探討伺服器企業從傳統整體式新產品開發模式轉型至模組是新產品開發模式的過程，並檢視此一過程對於研發績效的影響。由於本研究屬於探索性質，故採用單一個案研究法，選擇伺服器產業中的一家領導廠商做為研究個案的對象。究資料來源包括初級資料和次級資料，前者主要透過半結構式的訪綱設計深入訪談個案公司的相關人員，後者則參考期刊、報紙以及個案公司的年報及內部資料等。最後本研究得到了以下的主要結論：
結論一、企業在模組式開發的轉型過程中，會透過溝通效率的提升、協同合作的加強與大量資源的投入等作為，來提升轉型的效益、開發的效率、新產品的品質以及應對市場變化的靈活性和競爭力。
結論二、企業模組式新產品開發的流程上，會在初期概念階段中允許採用粗略的設計，隨著開發的進展則會允許計畫的變更，以期達到開發週期縮短、靈活設計變更與迅速回應市場變化的目標。
結論三、企業模組式新產品開發的流程上，會透過模組式設計的採用與組件共用性的提升，來降低開發的成本，並提升開發的靈活性和效率。
結論四、企業在推動模組式新產品開發的轉型過程中，會面對初期高度資源的投入、精細化管理的需求、高技術的門檻、團隊協作的減少以及設計和生產流程的變革等挑戰，惟這些挑戰卻也同時會帶來機會與競爭優勢。
結論五、企業在進行模組式新產品開發時，會導入具高度靈活性和可追溯性的協作平台，以調適不同模組獨立開發和管理的需求，同時也會允許各模組靈活地與其他多種組件進行配對，以確保產品開發過程的靈活性和高效性。
本研究並在最後提出學術上的貢獻，以及實務上與後續研究上的建議。
With the rapid growth of the Internet of Things（IoT）and the commercial rise of artificial intelligence driven by ChatGPT in 2023, the server industry is grappling with swiftly changing market demands and technological advancements. Traditional Integrated New Product Development（NPD）models have struggled to keep pace with these evolving market needs, prompting a growing interest in modularity NPD within the server industry.
Despite the explosive growth in AI technology and its commercial applications since 2023, there has been a notable lack of academic discussion regarding the transformation of NPD processes in the server industry. Previous research has largely focused on modularity development in personal computers, emphasizing the impact of modular design on technology and products. However, studies on how modularization affects internal departmental collaboration and integration are sparse. Additionally, there is a gap in research distinguishing the short-term and long-term benefits and risks of modularity NPD transformation, and no empirical studies have examined the relationship between modularity NPD models and R&D performance.
To address these research gaps, this study delves into branded server manufacturers, analyzing organizational behaviors during the modularization process and examining its impact on product characteristics, development processes, and team dynamics. Given the exploratory nature of this research, a single case study method is employed, utilizing both primary and secondary data sources. Primary data were gathered through in-depth interviews with three key roles in new product development at the case company, while secondary data were sourced from journals, newspapers, and internal company documents.
This study yields the following findings:
During the transition to module development, companies enhance the transformation's effectiveness, development efficiency, new product quality, and market responsiveness by improving communication efficiency, strengthening collaboration, and investing substantial resources.
In the modulated new product development process, companies adopt rough designs during the initial concept stage and allow plan modifications as development progresses. This approach aims to shorten the development cycle, facilitate flexible design changes, and swiftly respond to market changes.
By adopting module design and enhancing component commonality, companies reduce development costs while increasing flexibility and efficiency in the module development process.
Companies face challenges such as significant initial resource investment, the need for meticulous management, high technical barriers and costs, reduced team collaboration, and changes in design and production processes during the transition to module new product development. However, these challenges also present opportunities and competitive advantages.
When undertaking module new product development, companies must adapt to the demands of independent module development and management while allowing each module to flexibly integrate with various other components, ensuring the flexibility and efficiency of the product development process.
Finally, this study provides suggestions for both academia and industry practitioners, offering directions for future research. |
| Reference: | 一、 外文文獻
Abernathy, W. J., & Utterback, J. M. (1978). Patterns of industrial innovation. Technology Review, 80(7), 40–47.
Adhabi, E., & Anozie, C. B. (2017). Literature review for the type of interview in qualitative research. International Journal of Education, 9(3), 86-97.
Adler, P. S., & Shenhar, A. (1990). Adapting your technological base: The organizational challenge. Sloan Management Review, (32)1, 25–37
Allen, K. R., & Carlson-Skalak, S. (1998, September). Defining product architecture during conceptual design. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 80333, p. V003T03A018). American Society of Mechanical Engineers.
Badri, M.,A. and DAVIS, D. (1995). A study of measuring the critical factors of quality management. International Journal of Quality & Reliability Management, 12 (2), 36-53.
Balachandra, R., & Friar, J. H. (1997). Factors for success in R&D projects and new product innovation: a contextual framework. IEEE Transactions on Engineering management, 44(3), 276-287.
Baldwin, C. Y., & Clark, K. B. (2000). Design Rules, Volume 1: The Power of Modularity. MIT press.
Baldwin, C. Y., & Clark, K. B. (2006). Between Knowledge and The Economy: Notes on the Scientific Study of Designs.
Baldwin, C. Y., & Clark, K. B. (2006). Modularity in the Design of Complex Engineering Systems. Springer Berlin Heidelberg.
Barczak, G. (1995), New product strategy, structure, process, and performance in the Telecommunications Industry, Journal of Product Innovation Management, 12(2), 224-234.
Booz, Allen, & Hamilton. (1982). New Products Management for the 1980s. New York, Booz Allen Hamilton Inc.
Bovey, W. H. & Hede, A. (2001). Resistance to organizational change: the role of cognitive and affective processes. Leadership & Organization Development Journal, 22 (8), 372-382.
Campagnolo, D., & Camuffo, A. (2010). The concept of modularity in management studies: a literature review. International journal of management reviews, 12(3), 259-283.
Christensen, C. M. (2013). The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press.
Collier, D. A. (1981). The measurement and operating benefits of component part commonality. Decision Sciences, 12(1), 85-96.
Cooper R. G. (2019). The drivers of success in new-product development. Industrial Marketing Management, 76, 36-47.
Cooper, A. C. (1993). Challenges in predicting new firm performance. Journal of Business Venturing, 8(3), 241-253.
Cooper, R. G. (1990). Stage-gate systems: a new tool for managing new products. Business Horizons, 33(3), 44-54.
Cooper, R. G., & Kleinschmidt, E. J. (1993). Major new products: what distinguishes the winners in the chemical industry?. Journal of Product Innovation Management, 10(2), 90-111.
Cooper, R. G., & Kleinschmidt, E. J. (2000). 2 new product performance: what distinguishes the star products. Australian Journal of Management, 25(1), 17-46.
Damanpour, F. (1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. The Academy of Management Journal, 34(3), 555–590.
Danese, P., & Romano, P. (2004). Improving inter‐functional coordination to face high product variety and frequent modifications. International Journal of Operations & Production Management, 24(9), 863-885.
De Toni, A., & Tonchia, S. (2001). Performance measurement systems-models, characteristics and measures. International Journal of Operations & Production management, 21(1/2), 46-71.
Deloitte. (2018). The cloud is here: Embrace the transition How organizations can stop worrying and learn to "think cloud".
Eppinger, S. D., & Ulrich, K. (1995). Product Design and Development.McGraw-Hill Irwin.
Erwin, D. G., & Garman, A. N. (2010). Resistance to organizational change: Linking research and practice. Leadership & Organization Development Journal, 31(1), 39-56.
Feitzinger, E., & Lee, H. L. (1997). Mass customization at Hewlett Packard: the power of postponement. Harvard Business Review, 75(1), 116-122.
Fixson, S. K., & Park, J. K. (2008). The power of integrality: Linkages between product architecture, innovation, and industry structure. Research Policy, 37(8), 1296-1316.
Frandsen, T. (2017). Evolution of modularity literature: a 25-year bibliometric analysis. International Journal of Operations & Production Management, 37(6), 703-747.
Galvin, P., & Morkel, A. (2001). The effect of product modularity on industry structure: the case of the world bicycle industry. Industry and Innovation, 8(1), 31.
Garud, R., & Kumaraswamy, A. (1993). Changing competitive dynamics in network industries: An exploration of Sun Microsystems' open systems strategy. Strategic Management Journal, 14(5), 351-369.
Garud, R., & Kumaraswamy, A. (1995). Technological and organizational designs for realizing economies of substitution. Strategic Management Journal, 16(S1), 93-109.
Gershenson, J. K., Prasad, G. J., & Zhang, Y. (2003). Product modularity: Definitions and benefits. Journal of Engineering Design, 14(3), 295-313.
Ghalayini, A. M., Noble, J. S., & Crowe, T. J. (1997). An integrated dynamic performance measurement system for improving manufacturing competitiveness. International Journal of Production Economics, 48(3), 207-225.
Gobeli, D. H., & Brown, D. J. (1987). Analyzing product innovations. Research Management, 30(4), 25-31.
Gosselin, M. (2005). An empirical study of performance measurement in manufacturing firms. International Journal of Productivity and Performance Management, 54(5/6), 419-437.
Guan Q, Zheng W, Tang S, Liu X, Zinkel RA, Tsui K-W, et al. (2006) Impact of nonsense-mediated mRNA decay on the global expression profile of budding yeast. PLoS Genet 2(11): e203
Gupta, A. K., Raj, S. P., & Wilemon, D. (1986). A model for studying R&D–marketing interface in the product innovation process. Journal of Marketing, 50(2), 7-17.
Hayes, R.H., & Wheelwright, S.C. (1984). Restoring Our Competitive Edge: Compet-ing Through Manufacturing. Wiley, New York.
Henderson, R. M., & Clark, K. B. (1990). Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Administrative Science Quarterly, 9-30.
Holweg, M. (2005). The three dimensions of responsiveness. International Journal of Operations & Production Management, 25(7), 603-622.
Hox, J. J., & Boeije, H. R. (2005). Data collection, primary vs. secondary. Encyclopedia of Social Measurement, 1(1), 593-599.
Hubka, V., Eder, W. E., Hubka, V., & Eder, W. E. (1988). Applications of the Theory of Technical Systems. Theory of Technical Systems: A Total Concept Theory for Engineering Design, 211-232.
IDC Future Scape: Artificial Intelligence Will Reshape the IT Industry and the Way Businesses Operate. Retrieved Aug 12 2024, from: https://www.idc.com/getdoc.jsp?containerId=prUS51335823
IDC（2024）. Worldwide Quarterly Server Tracker, 23Q4 (2024.03)
Isern, J., & Pung, C. (2007). Driving radical change. The McKinsey Quarterly,4, 1–12.
Ishaq Bhatti, M., Awan, H. M., & Razaq, Z. (2014). The key performance indicators (KPIs) and their impact on overall organizational performance. Quality & Quantity, 48, 3127-3143.
Ittner, C.D. and Larcker, D.F. (1998) Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction. Journal of Accounting Research, 36, 1-35.
Jackle, A. (2008). Dependent interviewing: effects on respondent burden and efficiency of data collection. Journal of Official Statistics, 24(3), 411.
Jacobs, M., Vickery, S. K., & Droge, C. (2007). The effects of product modularity on competitive performance: do integration strategies mediate the relationship?. International Journal of Operations & Production Management, 27(10), 1046-1068.
Kotter, J. P. (1995) Leading change: Why transformation efforts fail. Harvard Business Review, 73, 59-67.
Kusiak, A. (2002). Integrated product and process design: a modularity perspective. Journal of Engineering Design, 13(3), 223-231.
Lampel, J., & Mintzberg, H. (1996). Customizing customization. MIT Sloan Management Review.
Leavitt, H. J. (1964). Applied organizational change in industry: Structural, technical and human approaches. In W. W. Cooper, H. J. Leavitt and M. W. Shelly (Eds.), New Perspectives in Organization Research. New York: Wiley.
Leavitt, H. J., & Bass, B. M. (1964). Organizational psychology. Annual Review of Psychology, 15(1), 371-398.
Lee, L., Wong, P. K., Der Foo, M., & Leung, A. (2011). Entrepreneurial intentions: The influence of organizational and individual factors. Journal of Business Venturing, 26(1), 124-136.
Lester, D. H. (1998). Critical success factors for new product development. Research-Technology Management, 41(1), 36-43.
Lewin, K. (1947). Frontiers in group dynamics: II. Channels of group life; social planning and action research. Human Relations, 1(2), 143-153.
Lewin, K. (1947). Group decision and social change. Readings in social psychology, 3(1), 197-211.
Liao, Shu-Hsien & Fei, Wu-Chen & Chen, Chih-Chiang. (2007). Knowledge sharing, absorptive capacity, and innovation capability: An empirical study of Taiwan's knowledge-intensive industries. J. Information Science. 33. 340-359.
Lin, H. (2007), Knowledge sharing and firm innovation capability: an empirical study, International Journal of Manpower, 28(3/4), 315-332.
Lorenzi, S., & Lello, A. D. (2001). Product modularity theory and practice: the benefits and difficulties in implementation within a company. International Journal of Automotive Technology and Management, 1(4), 425-448.\
Merriam, S. B. (1998). Qualitative Research and Case Study Applications in Education. San Francisco, CA: Jossey-Bass.
Meyer, M. H. and Lehnerd, A. P., 1997, The Power of Product Platforms, New York: The Free Press.
Meyers, P. W., & Tucker, F. G. (1989). Defining roles for logistics during routine and radical technological innovation. Journal of the Academy of Marketing Science, 17(1), 73-82.
Neely, A., Gregory, M., & Platts, K. (2005). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 25(12), 1228-1263.
Nevins, James L. and Whitney Daniel E. (1989), Concurrent Design of Products and Processes, McGraw-Hill.
Novak, S., & Eppinger, S. D. (2001). Sourcing by design: Product complexity and the supply chain. Management Science, 47(1), 189-204.
Novak, S., & Eppinger, S. D. (2001). Sourcing by design: Product complexity and the supply chain. Management Science, 47(1), 189-204.
Onkvisit, S., & Shaw, J. J. (1989). Service marketing: Image, branding, and competition. Business Horizons, 32(1), 13-19.
Opdenakker, R. J. G. (2006). Advantages and disadvantages of four interview techniques in qualitative research. In Forum Qualitative Sozialforschung= Forum: Qualitative Social Research (Vol. 7, No. 4, pp. art-11). Institut fur Klinische Sychologie and Gemeindesychologie.
Open Compute Project, Retrieved May 10 2024, from: https://www.opencompute.org/about
Parmenter, D. (2015). Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. John Wiley & Sons.
Parylo, O. (2012) Qualitative, quantitative, or mixed methods: An analysis of research design in articles on principal professional development (1998-2008). International Journal of Multiple Research Approaches, 6, 297-313.
Phillips, D. C., & Burbules, N. C. (2000). Postpositivism and Educational Research. Rowman & Littlefield.
Pine, B. J., Victor, B., & Boynton, A. C. (1993). Making mass customization work. Harvard Business Review, 71(5), 108-11.
Prochaska, J. O., & Norcross, J. C. (2001). Stages of change psychotherapy: Theory, research, practice, training, 38(4), 443.
Reuters (2023). ChatGPT sets record for fastest-growing user base - analyst note, Retrieved June 12 2024, from: https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/
Robertson, T. S. (1967). The process of innovation and the diffusion of innovation. Journal of Marketing, 31(1), 14-19.
Salvador, F., Forza, C., & Rungtusanatham, M. (2002). Modularity, product variety, production volume, and component sourcing: theorizing beyond generic prescriptions. Journal of Operations Management, 20(5), 549-575.
Sanchez, R. (1995). Strategic flexibility in product competition. Strategic Management Journal, 16(S1), 135-159.
Schilling, M. A. (2000). Toward a general modular systems theory and its application to interfirm product modularity. Academy of Management Review, 25(2), 312-334.
Schramm, W. (2001). How communication works. Marketing: Critical perspectives on business and management. 1st ed. London: Taylor and Francis Group, 357-367.
Schumpeter, J., Backhaus, U. (2003). The theory of economic development. In: Backhaus, J. (eds) Joseph Alois Schumpeter. The European Heritage in Economics and the Social Sciences, vol 1. Springer, Boston, MA. 61–116
Simon, H. A. (1962). New Developments in the theory of the firm. The American Economic Review, 52(2), 1-15.
Skinner W. (1974). The focused factory. Harvard Business Review 52 (3), 113–121.
Souder WE (1988) Managing relations between R&D and marketing in new product development projects. Journal of Product Innovation Management 5(1):6–19
Souder, William E. and Shrivastava, Paul, (1985), Towards a scale for measuring technology in new product innovations, Research Policy, 14(3), 151-160.
Stake, R. E. (2008). Qualitative case studies. In N.K. Denzin & Y.S.Lincolns(eds) Strategic Qualitative Inquiry, 119-149, Sage Publication.
Sullivan, J. R. (2012). Skype: An appropriate method of data collection for qualitative interviews?. The Hilltop Review, 6(1), 10.
Suzik, H. A. (1999). Solectron tells its tale. Quality, 38(5), 53.
U.S. Karmarkar and P. Kubat(1987), Modular replacement in product support, European Journal of Operation Resources. 29. 74–82.
Ulrich, K. (1995). The role of product architecture in the manufacturing firm. Research Policy, 24(3), 419-440.
Ulrich, K. T., & Seering, W. P. (1989). Synthesis of schematic descriptions in mechanical design. Research in Engineering Design, 1(1), 3-18.
Ulrich, K., & Eppinger, S. (2011). EBOOK: Product Design and Development. McGraw Hill.
Von Hippel, E. (1990). Task partitioning: An innovation process variable. Research Policy, 19(5), 407-418.
White, G. P. (1996). A survey and taxonomy of strategy‐related performance measures for manufacturing. International Journal of Operations & Production Management, 16(3), 42-61.
Worren, N., Moore, K., & Cardona, P. (2002). Modularity, strategic flexibility, and firm performance: a study of the home appliance industry. Strategic Management Journal, 23(12), 1123-1140.
Worren, N., Moore, K., & Cardona, P. (2002). Modularity, strategic flexibility, and firm performance: a study of the home appliance industry. Strategic Management Journal, 23(12), 1123-1140.
Yoon, E., & Lilien, G. L. (1985). New industrial product performance: The effects of market characteristics and strategy. Journal of Product Innovation Management, 2(3), 134-144.
二、 中文文獻
小島敏彥（1996），新製品開發管理，日刊工業新聞社。
王亭均（2020），客戶知識管理與客戶知識於新產品開發流程中的角色之研究，國立政治大學科技管理與智慧財產研究所。
李嘉俞（2022），雲端伺服器產業平台生態系中的競合策略 —以HPE GreenLake平台生態為例，國立政治大學科技管理與智慧財產研究所。
吳秉恩（1993）。組織行為學. 台北：華泰書局。
許士軍（1993）。管理學. 台北：東華書局。
樓孝剛（2022），企業人工智慧平台的開發管理之研究—以 F 公司為例，國立政治大學科技管理與智慧財產研究所。
Alex Huang（2022年4月8日），【關鍵報告】雲端服務商機！白話文解構「伺服器產業」，富果直送 白話投資好文。檢索日期：2024年6月8日，取自：https://blog.fugle.tw/server-report-2022/
Digitimes（2024）. 生成式AI非泡沫 2030年1.5兆美元商機可期 , 上網日期2024年6月15日，檢自:https://www.digitimes.com.tw/col/article.asp?id=14640
優分析（2024）， AI伺服器需求第二波：品牌伺服器，鴻海傳拿下HPE數十億美元訂單， 檢索日期：2024年6月3日，檢自：https://uanalyze.com.tw/articles/357544815
勤業眾信 （2019），半導體：未來浪潮，24-28頁。
吳麗珍、黃惠滿、李浩銑（2014）。方便取樣和立意取樣之比較。護理雜誌，61(3)，105-111。https://doi.org/10.6224/JN.61.3.105 |
| Description: | 碩士
國立政治大學
科技管理與智慧財產研究所
111364134 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111364134 |
| Data Type: | thesis |
| Appears in Collections: | [科技管理與智慧財產研究所] 學位論文
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