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| Title: | 以綠色創新的觀點探討企業人工智慧伺服器新產品專案的開發流程
A Study of the New Product Development Process of AI Servers in Server Companies from a Green Innovation Perspective |
| Authors: | 林微妮
Lin, Wei-Ni |
| Contributors: | 吳豐祥
Wu, Feng-Shang
林微妮
Lin, Wei-Ni |
| Keywords: | 伺服器產業
AI 伺服器
綠色產品創新
開放式創新
國際環保法規
永續發展
新產品開發
Server Industry
AI Servers
Green Product Innovation
Open Innovation
International Environmental Regulations
New Product Development |
| Date: | 2024 |
| Issue Date: | 2024-08-05 13:06:20 (UTC+8) |
| Abstract: | 隨著人工智能技術的快速發展，AI伺服器的需求顯著增加。特別是自2022年底OpenAI推出ChatGPT以來，全球對高效能AI伺服器的需求進一步擴大，不僅為企業帶來了新的市場機會，也帶來企業在AI伺服器新產品開發和遵守環保法規的新挑戰。然而，AI伺服器在高能耗的特性，導致資料中心客戶對其碳排放增加的擔憂，促使企業在新產品開發的策略上更注重融合永續價值。
本研究基於Booz Allen & Hamilton（1982）的新產品開發（NPD）理論，探討新產品開發的七個階段：新產品開發策略、產品創意發想、篩選與評估、商業分析、開發、測試以及商業化 。在供應商合作方面，Kamath & Liker（1994）將供應商在新產品開發中的角色分為合作夥伴、成熟供應商、孩童以及契約供應商等四種，每種角色根據技術能力、設計責任和產品複雜度等的不同有所差異 。同時，客戶需求在新產品開發過程中扮演著重要角色。Cole & Wayland（1997）提出了一個客戶知識管理（CKM）的封閉迴路模型，其中CKM的核心過程包括規畫、鎖定正確客戶、產生客戶知識和運用客戶知識等。企業透過與客戶的密切合作，能夠在產品開發初期就了解和預測市場需求，並將這些需求納入設計考量，提高產品的市場競爭力和客戶滿意度。Cronin et al.（2011）認為大眾對環境議題的認識不斷提高，綠色產品的開發受到越來越多的關注，企業開發環保產品和服務，以滿足消費者日益增強的環保意識，亦成為企業成功的關鍵 。因此，企業在新產品開發的專案上如何融合綠色創新觀點，乃成為本研究的聚焦主題。
本研究結合研究目的與文獻探討的結果，提出了一個包括國際環保觀泛；綠色創新策略、新產品開發專案管理、與新產品開發專案績效等四個構面的研究架構，做為研究的基礎框架。本研究採用多重個案研究法（Multiple Case Study），選擇了三家伺服器產業指標企業作為研究對象：S公司、I公司和F公司 。資料蒐集包括初級研究和次級研究兩部分。初級研究主要透過深度訪談法進行，訪談對象包括各公司的產品經理和協理 。次級研究則包括企業的ESG報告書、年度報告、第三方研究報告等 。
本研究發現到的重點包括：企業在AI伺服器新產品開發的過程中，面對日益嚴格的國際環保法規時會積極採取綠色產品創新策略，不僅提升產品能效並減少環境影響，還增強企業的市場競爭力。透過與供應商和客戶的緊密合作，以及與外部利害關係人的協作，伺服器企業確保其新產品符合環保要求，滿足市場需求，推動了整個產業的綠色轉型 。基於以上研究發現，本研究最後所得到的研究結論如下：
一、企業在開發AI伺服器時，會透過綠色產品創新策略，來協助資料中心客戶遵守國際環保法規。
二、企業在 AI伺服器新產品開發的過程中，會在產品創意發想的階段即結合永續價值，以確保後續的開發階段皆符合其綠色創新的策略目標。
三、企業在AI伺服器新產品的開發過程中，會於開發與測試階段中採用創新的方法，以確保 AI 伺服器的品質及效率並取得綠色產品創新的商業成功。
四、企業為了達成AI 伺服器的綠色產品創新目標，會優先採購符合國際環保標準的零組件，並透過進料檢查，來減少新產品對環境的負面影響。
五、企業在AI伺服器新產品開發的過程中，會與客戶密切合作並將客戶對永續的相關需求納入設計考量，以確保綠色產品能夠滿足客戶期望。
本論文最後也進一步闡述本研究的學術貢獻，並提出對實務上與後續研究上的建議。
With the rapid development of artificial intelligence technology, the demand for AI servers has significantly increased. Particularly since OpenAI launched ChatGPT at the end of 2022, the global demand for high-performance AI servers has further expanded. This has not only brought new market opportunities for enterprises but also introduced new challenges in developing AI server products and complying with environmental regulations. The high energy consumption characteristic of AI servers raises concerns among data center clients about increased carbon emissions, prompting companies to incorporate sustainability values into their new product development strategies.
This study is based on Booz Allen & Hamilton's (1982) NPD theory, exploring the seven stages of new product development: new product strategy, idea generation, screening and evaluation, business analysis, development, testing, and commercialization. In terms of supplier collaboration, Kamath & Liker (1994) categorize suppliers' roles in new product development into partners, mature suppliers, child suppliers, and contract suppliers, with each role differing based on technical capabilities, design responsibilities, and product complexity. Additionally, customer needs play a critical role in the new product development process. According to Cole & Wayland’s (1997) closed-loop model, the core processes of customer knowledge management include planning, targeting the right customers, generating customer knowledge, and leveraging customer knowledge. Through close collaboration with customers, companies can understand and predict market demand in the early stages of product development, incorporating these demands into design considerations to enhance product competitiveness and customer satisfaction. According to Cronin et al. (2011), public awareness of environmental issues is steadily increasing, and the development of green products is receiving more attention. Developing environmentally friendly products and services and creating new products to meet consumers' growing environmental consciousness are keys to business success. Therefore, integrating green innovation perspectives into new product development projects has become the research topic of this study.
This study employs a multiple case study method, selecting three leading companies in the server industry as research subjects: S Company, I Company, and F Company. Data collection includes both primary and secondary research. Primary research is mainly conducted through in-depth interviews with product managers and associates from each company. Secondary research includes companies' ESG reports, annual reports, and third-party research reports.
In the process of developing new AI server products, companies actively adopt green product innovation strategies to comply with increasingly stringent international environmental regulations. This not only improves product efficiency and reduces environmental impact but also enhances market competitiveness. Through close cooperation with suppliers and customers, as well as collaboration with external stakeholders, server companies ensure that their new products meet environmental requirements and market demands, promoting green transformation across the industry. Based on the above findings, the conclusions of this study are as follows:
1. When developing AI servers, companies will implement proactive green product innovation strategies to help data center customers comply with international environmental regulations.
2. During the process of new AI server product development, companies will integrate sustainable values at the product ideation stage to ensure that all subsequent development phases align with their green innovation strategy goals.
3. In the development process of new AI server products, companies will adopt innovative methods during the development and testing phases to ensure the quality of AI servers and achieve commercial success in green product innovation.
4. To achieve green product innovation goals for AI servers, companies will prioritize the procurement of components that meet international environmental standards and perform incoming inspections to reduce the negative environmental impact of new products.
5. During the development of new AI server products, companies will work closely with customers and incorporate their sustainability-related needs into the design considerations to ensure that green products can meet customer expectations.
Finally, this thesis further elaborates on the academic contributions of the study and provides practical and future research recommendations. |
| Reference: | 一、英文文獻
Aekyati, A., Khantanapha, N., & Piriyakul, R. (2016). Green supply chain management: procurement context. International Journal of Economics & Management Sciences, 5(6), 1-4.
Albino, V., Balice, A., & Dangelico, R. M. (2009). Environmental strategies and green product development: An overview on sustainability‐driven companies. Business Strategy and the Environment, 18(2), 83-96.
Babbie, E. (2001). The Practice of Social Research (9th ed.). CA: Wadsworth.
Bose, R., & Sugumaran, V. (2003). Application of knowledge management technology in customer relationship management. Knowledge and Process Management, 10(1), 3-17. https://doi.org/10.1002/kpm.163
Chang, C. H. (2011). The influence of corporate environmental ethics on competitive advantage: The mediation role of green innovation. Journal of Business Ethics, 104, 361-370.
Chen, Y. S., Chang, C. H., & Wu, F. S. (2012). Origins of green innovations: The differences between proactive and reactive green innovations. Management Decision, 50(3), 368-398.
Chen, Y. S., Lai, S. B., & Wen, C. T. (2006). The influence of green innovation performance on corporate advantage in Taiwan. Journal of Business Ethics, 67(4), 331-339.
Chesbrough, H. (2012). Open innovation: Where we’ve been and where we’re going. Research-Technology Management, 55(4), 20-27. doi:10.5437/08956308X5504085
Chesbrough, H. (2012). Why companies should have open business models. MIT Sloan Management Review, 48(2).
Chesbrough, H. W. (2003). Open Innovation: The New Imperative for Creating and Profiting from Technology. Harvard Business School Press.
Chiou, T. Y., Chan, H. K., Lettice, F., & Chung, S. H. (2011). The influence of greening the suppliers and green innovation on environmental performance and competitive advantage in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 47(6), 822-836. https://doi.org/10.1016/j.tre.2011.05.016
Chris, G., & Emma, G. (1999). Knowledge management: The way forward. Total Quality Management, 10, S554-560.
Cole, P. M., & Wayland, R. E. (1997). Customer Connections: New Strategies for Growth. Harvard Business School Press.
Cronin, J. J., Smith, J. S., Gleim, M. R., Ramirez, E., & Martinez, J. D. (2011). Green marketing strategies: An examination of stakeholders and the opportunities they present. Journal of the Academy of Marketing Science, 39, 158-174.
de Oliveira, U. R., Espindola, L. S., da Silva, I. R., da Silva, I. N., & Rocha, H. M. (2018). A systematic literature review on green supply chain management: Research implications and future perspectives. Journal of Cleaner Production, 187, 537-561.
Drucker, P. F. (1999). Knowledge worker productivity – the biggest challenge. California Management Review, 41(2), 79-94.
Fontana, A., & Frey, J. H. (2003). The interview: From structured questions to negotiated text. In Denzin, N. K., & Lincoln, Y. S. (Eds.), Collecting and Interpreting Qualitative Materials (pp. 61-106). London: Sage.
Freeman, C. (1991). The Nature of the Innovation and the Evolution of the Productive System. Elsevier.
García-Granero, E. M., Piedra-Muñoz, L., & Galdeano-Gómez, E. (2018). Eco-innovation measurement: A review of firm performance indicators. Journal of Clean Production, 191, 304-317.
Gartner (2019). Preparing for 2029, when consumer product supply chains cannot produce waste. Gartner. Retrieved September 15, 2022, from https://www.gartner.com/en/documents/3956095
Irma, B. F., & Rajiv, S. (2001). Organizational knowledge management: A contingency perspective. Journal of Management Information Systems, 18(Summer), 23-55.
Kamath, R. R., & Liker, J. K. (1994). A second look at the Japanese product development. Harvard Business Review, 72(6), 154-170.
Lameras, P. (2015). Best practices in open innovation. 10.13140/RG.2.1.2472.8482.
Nasir, F., Abdul Rahim, A., & Hamzah, H. S. (2016). Supply chain management framework development for new multiple life cycle product development. IEEM, 779, 812-816. https://doi.org/10.1109/IEEM.2016.7797989
Österle, H. (2001). Enterprise in the information age. In Österle, H., Fleisch, E., & Alt, R. (Eds.), Business Networking: Shaping collaboration between Enterprises (pp. 17-54). Berlin: Springer.
Patton, M. (1990). Qualitative Evaluation and Research Methods. Beverly Hills, CA: Sage.
Rubin, H. J., & Rubin, S. I. (1995). Qualitative Interviewing: The Art of Hearing Data. London: Sage.
Srivastava, S.K. (2007). Green Supply-Chain Management: A State-of-the-Art Literature Review. IO: Regulation.
Super Micro Computer, Inc. (2022). Green computing: Top ten best practices for a green data center. Super Micro Computer, Inc. https://www.supermicro.com/GreenComputing
Super Micro Computer, Inc. (2023). SMC 2023 annual report. https://ir.supermicro.com/financials/annual-reports/default.aspx
Super Micro Computer, Inc. (2024). Supermicro lot 9 compliance. Super Micro Computer, Inc. https://www.supermicro.com/zh_tw/support/compliance_Lot_9
Tapscott, D. (2006). Winning with the Enterprise 2.0. New Paradigm Learning Corporation.
Xie, X., Huo, J., & Zou, H. (2019). Green process innovation, green product innovation, and corporate financial performance: A content analysis method. Journal of Business Research, 101.
Yin, R. K. (2009). Case Study Research: Design and Methods (Vol. 5). Sage.
二、中文文獻
TechNews （2023）。AI 需求持續看漲。2023 年全球 AI 伺服器出貨量年增近四成。TechNews Taiwan。檢索日期：2024年4月10日，取自 https://technews.tw/2023/05/29/2023-ai-server/ 。
朱延麒（2007）。創新網路經營模式-無名小站之個案研究。國立陽明交通大學碩士論文。
吳思華（1999）。《策略九說》。台北：麥田出版股份有限公司。
林彥斌（2015）。探討漂綠對於綠色購買意願之影響：以綠色信任及產品之環境友善程度為中介變數。國立台北大學企業管理學系碩士論文。
英業達股份有限公司 （2023）。民國一一一年永續報告書。英業達股份有限公司。檢索日期：2024年4月25日，取自https://www.inventec.com/tw/csr-3
英業達股份有限公司 （2023）。民國一一一年年報。英業達股份有限公司。檢索日期：2024年4月25日，取自https://doc.twse.com.tw/pdf/2022_2356_20230613F04_20240425_192501.pdf。
殷奇煌（2014）。論台灣 PLC 廠商對歐盟 ErP 指令的因應與影響。南華大學碩士論文。
向子慧、余昀澄（2023）。電子硬體產業報告。凱基投顧。
產品綠色驗證平台 （2024）。EPEAT 驗證介紹。檢索日期：2024年4月30日，取自 https://cogp.greentrade.org.tw/Certificate/inside/115。
產葉永續發展整合資訊網 （2013）。歐盟ErP指令之電腦產品實施方法正式公告。檢索日期：2024年4月17日，取自 https://proj.ftis.org.tw/isdn/Message/MessageView?id=332 & mid=108。
郭芳義 （2016）。探討台灣工業品牌伺服器廠商的營運策略。淡江大學。
郭儀蕙、胡碧瑩、楊悅悅 （2020）。綠色經濟 點綠成金。經貿透視雙周刊第546期。
陳振銘 （2020）。在開放式運算盛行之環境下服務器代工廠的品牌發展策略 - 以廣達為例。國立成功大學碩士論文。
陳儀錚 （2012）。台灣伺服器代工產業價值鏈的破壞與重組。國立政治大學商管專業學院碩士學位學程（AMBA）論文。
程琪方（2010）。企業綠化程度對企業競爭力之影響-以綠色人力資本為中介變項。國立中央大學人力資源管理研究所碩士論文。
黃博文（2013）。 巨量資料生態雲端策略集群分析-以財務績效指標探討。國立交通大學管理學院經營管理學程碩士論文。
溫肇東、陳泰明（1997）。台灣的綠色創新組織初探。臺大管理論叢。8（2）。99-124。檢索日期：2024年4月2日，取自https://doi.org/10.6226/NTURM1997.8.2.99。
葉建良（2014）。開放式創新之關鍵成功因素-以台積電開放式創新平台為例。國立雲林科技大學碩士企業管理研究所論文。
劉常勇 （1999）。對於知識管理的基本認識。國立中山大學企管系碩士學位論文。
鴻海精密工業股份有限公司 （2023）。 2022 ESG Insight 永續報告書。檢索日期：2024年5月1日，鴻海精密工業股份有限公司。https://demo3.honhai.com/zh-tw/CSR/esg-insight
鴻海精密工業股份有限公司 （2023）。民國一一二年年報。鴻海精密工業股份有限公司。檢索日期：2024年5月1日，https://demo3.honhai.com/zh-tw/investor-relations/financial-information/annual-reports |
| Description: | 碩士
國立政治大學
科技管理與智慧財產研究所
111364119 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111364119 |
| 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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