| dc.contributor.advisor | 鄭至甫 | zh_TW |
| dc.contributor.advisor | Jeng, Jyh-Fu | en_US |
| dc.contributor.author (Authors) | 吳志清 | zh_TW |
| dc.contributor.author (Authors) | Wu, Chih-Ching | en_US |
| dc.creator (作者) | 吳志清 | zh_TW |
| dc.creator (作者) | Wu, Chih-Ching | en_US |
| dc.date (日期) | 2023 | en_US |
| dc.date.accessioned | 6-Jul-2023 15:13:18 (UTC+8) | - |
| dc.date.available | 6-Jul-2023 15:13:18 (UTC+8) | - |
| dc.date.issued (上傳時間) | 6-Jul-2023 15:13:18 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0109932080 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/145688 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 經營管理碩士學程(EMBA) | zh_TW |
| dc.description (描述) | 109932080 | zh_TW |
| dc.description.abstract (摘要) | 近年來隨著人工智慧技術的快速發展，這些利用人工智慧技術開始發展各種產品與服務，並結合至各種產業應用，如自動化生產、自駕車、人臉辨識、語音辨識等相關應用，開始在原有的系統產品上加入人工智慧元素來符合各種不同的人工智慧的應用，在這趨勢之下，如何把握這人工智慧商機將原有產品、銷售、路通，重新檢視利用新的思維與商業模式來創造這波新趨勢的奇蹟。本研究宜鼎國際公司(Innodisk Corporation)以下簡稱為「宜鼎」，從原有工業電市場走向人工智慧市場，希望藉由商業模式金三角模型來分析，以人工智慧產業客戶為中心，重新尋找出對於新興產業的客戶價值主張，面對與以往截然不同的新客戶群如何尋到與客戶之間的共存共榮的價值，並能在新商業模式能夠協助宜鼎再創獲利新高。宜鼎過去的銷售產品以「硬體元件」為主要產品線，然而，面對以人工智慧產業以系統為主的產品，公司在產品研發設計上的思維已與原有的元件模式不同且複雜度亦不同，如何建立產品的獨特性有別於現有市場競爭對手，是否能提出依人工智慧技術來解決現有應用客戶上的痛點，亦或在原有通路商需要調整或新增服務項目，亦或在產品的銷售策略能夠滿足客戶上的需求，本研究將會一一找這些問題的解答。希望透過以理論基礎的架構之下，梳理出能夠結合與實務操作並實落在未來宜鼎營經策略上的方針。 | zh_TW |
| dc.description.abstract (摘要) | In recent years, with the rapid development of artificial intelligence (AI) technology, various products and services utilizing AI have been developed and integrated into various industries, such as automated production, autonomous vehicles, facial recognition, speech recognition, and other related applications. Under this trend, companies are adding AI elements to their existing products and services to meet different AI applications. In this context, how to seize the AI business opportunities and re-examine the use of new thinking and business models to create a miracle in this new trend.This study focuses on Innodisk Corporation (hereafter referred to as "Innodisk"), a company that has transitioned from the industrial electronics market to the artificial intelligence (AI) market. Using the Business Model Canvas, this research aims to analyze the "golden triangle" model and identify the value propositions for emerging customers in the AI industry. Facing a significantly different customer base, the study seeks to identify strategies for achieving mutual benefits and value creation with these new clients, while leveraging the new business model to help Innodisk achieve higher profits.Innodisk has been selling hardware components as its main product line in the past. However, facing the system-oriented products in the AI industry, the company`s design thinking has changed from the original component model, and the complexity is also different. Therefore, the study aims to explore how to establish product uniqueness that is different from existing market competitors. The study also explores whether AI technology can solve pain points in existing application customers, whether adjustments or new service items are needed in existing distribution channels, and whether the sales strategy can meet customer needs.Through a theoretical framework, this study aims to provide practical guidelines for Innodisk future business strategies. | en_US |
| dc.description.tableofcontents | 第一章 緒論 2第一節 研究背景 2第二節 研究動機 3第三節 研究目的與問題 5第四節 研究流程 6第二章 產業分析與探討 7第一節 全球市場工業電腦發展 7第二節 台灣工業電腦市場概況 10第三節 人工智慧技術發展 16第四節 人工智慧應用整合探討 21第三章 研究方法 26第一節 個案研究 26第二節 分析架構 26第三節 樣本選擇 28第四節 個案簡介 29第四章 研究分析 31第一節 個案介紹 31第二節 個案分析 36第五章 結論和建議 42第一節 研究發現 42第二節 研究結論 46第三節 研究限制 51參考文獻 53附錄：訪談大綱 56 | zh_TW |
| dc.format.extent | 3511920 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0109932080 | en_US |
| dc.subject (關鍵詞) | 人工智慧 | zh_TW |
| dc.subject (關鍵詞) | 工業電腦 | zh_TW |
| dc.subject (關鍵詞) | 新商業模式 | zh_TW |
| dc.subject (關鍵詞) | Artificial intelligence | en_US |
| dc.subject (關鍵詞) | Industrial computers | en_US |
| dc.subject (關鍵詞) | New business models | en_US |
| dc.title (題名) | 傳統工業電腦企業邁向人工智慧產品發展與挑戰 -以宜鼎國際為例 | zh_TW |
| dc.title (題名) | The product development and challenges of traditional industrial computers enterprises with artificial intelligence technology: A case study of Innodisk Corporation | en_US |
| dc.type (資料類型) | thesis | en_US |
| dc.relation.reference (參考文獻) | 一、中文文獻：書籍1.亞歷山大．奧斯瓦爾德(2012)，獲利世代：自己動手，畫出你的商業模式，早安財經文化有限公司網際網路1.AVNET Silica (2021), FPGA、GPU 與 CPU – 人工智慧應用程式的硬體選擇, https://www.avnet.com/wps/portal/silica/resources/article/fpga-vs-gpu-vs-cpu-hardware-options-for-ai-applications/2.Digitimes 2021 ,工業電腦營收與占比，https://www.digitimes.com.tw/iot/article.asp?cat=158&cat1=20&cat2=&id=6259853.Global Information (2023), AI 基礎設施市場 - COVID-19 的增長、趨勢、影響和預測 (2023-2028), https://www.gii.tw/report/moi1195622-ai-infrastructure-market-growth-trends-covid.html4.內政部2022，出生率及死亡率趨勢 ， https://pop-proj.ndc.gov.tw/chart.aspx?c=1&uid=61&pid=605.行政院主計總處2022，勞動人口與年齡分析，https://theme.ndc.gov.tw/manpower/Content_List.aspx?n=85BEFE8D2EC9630F6.陳俊宇(2021.7.5), 2021年台灣工業電腦產業回顧與展望，資策會，https://mic.iii.org.tw/aisp/ReportS?docid=CDOC202107010137.華南好神資訊，工業電腦的獲利分析圖，https://events.entrust.com.tw/news/smart-factory-2888.黃馨(2022.7.10), PC三大利基市場分析，聯合新聞網，https://udn.com/news/story/6903/64439739.侯良儒、王子承、譚偉晟(2022.4.13) ,兩年八起併購案，他們為何對它情有獨鍾？ , 今周刊，https://www.businesstoday.com.tw/article/category/183015/post/202204130039/10.趙慶翔 (2019), 伺服器晶片競合與趨勢，台廠扮演什麼角色? , MoneyDJ新聞，https://tw.stock.yahoo.com/news/dj%E5%9C%A8%E7%B7%9A-%E4%BC%BA%E6%9C%8D%E5%99%A8%E6%99%B6%E7%89%87%E7%AB%B6%E5%90%88%E8%88%87%E8%B6%A8%E5%8B%A2-%E5%8F%B0%E5%BB%A0%E6%89%AE%E6%BC%94%E4%BB%80%E9%BA%BC%E8%A7%92%E8%89%B2-020400918.html11.蕭佑和(2018), 完整解析AI人工智慧：3大浪潮＋3大技術＋3大應用, https://meet.bnext.com.tw/blog/view/322012.科技產業資訊室(2017)，未來 AI 發展八大新趨勢，https://lubida.com.tw/%E6%9C%AA%E4%BE%86-ai-%E7%99%BC%E5%B1%95%E5%85%AB%E5%A4%A7%E6%96%B0%E8%B6%A8%E5%8B%A2/13.數位時代(2022)，AI醫療是什麼？一篇掌握台灣智慧醫療現況與5大應用範圍，https://www.bnext.com.tw/article/68429/itri04060314.行政院農業委員會(2006)，以智慧科技邁向農業4.0時代，https://www.coa.gov.tw/ws.php?id=250513915.經濟部工業局(2022)，人工智慧促進產業升級轉型，http://www.twcloud.org.tw/files/file_pool/1/0M179506890532846837/1-20200615%E4%BA%BA%E5%B7%A5%E6%99%BA%E6%85%A7%E8%99%95%E9%80%B2%E7%94%A2%E6%A5%AD%E5%8D%87%E7%B4%9A%E8%BD%89%E5%9E%8B.pdf16.電子商務時報，【專題報導】顛覆傳統的商業模式：訂閱經濟，https://www.ectimes.org.tw/2021/02/%E3%80%90%E5%B0%88%E9%A1%8C%E5%A0%B1%E5%B0%8E%E3%80%91%E9%A1%9B%E8%A6%86%E5%82%B3%E7%B5%B1%E7%9A%84%E5%95%86%E6%A5%AD%E6%A8%A1%E5%BC%8F%EF%BC%9A%E8%A8%82%E9%96%B1%E7%B6%93%E6%BF%9F/二、英文文獻：期刊論文1. Chris Smith(2006,Dec), The History of Artificial Intelligence, University of Washington，Page4-5網際網路1.Forbes official (2023), Notional strategies and action plans in AI, https://www.forbes.com/sites/cognitiveworld/2019/11/27/the-artificial-intelligence-industry-and-global-challenges/?sh=1bb0c1b73deb2. Grand View Research (2017), Artificial Intelligence Chipset Market Size, Share & Trends Analysis Report By Vertical, By Chipset Type, By Workload Domain (Training, Inference), By Computing Technology, And Segment Forecasts, 2019 – 2025, https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-chipset-market3. Precedence Research (2023), Artificial Intelligence (AI) Chip Market Size to Surpass USD 227.48 BN by 2032, https://www.globenewswire.com/en/news-release/2023/02/08/2604091/0/en/Artificial-Intelligence-AI-Chip-Market-Size-to-Surpass-USD-227-48-BN-by-2032.html4.Tim Dutton (2018), An Overview of National AI Strategies， https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd | zh_TW |
