請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80569完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 曹承礎(Seng-Cho Timothy Chou) | |
| dc.contributor.author | 企業管理碩士專班 | zh_TW |
| dc.contributor.author | Andy Wang | en |
| dc.contributor.author | 王尹辰 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:09:35Z | - |
| dc.date.available | 2021-11-03 | |
| dc.date.available | 2022-11-24T03:09:35Z | - |
| dc.date.copyright | 2021-11-03 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-10-27 | |
| dc.identifier.citation | “A Quarter of Taiwanese Companies Are Well into Their AI Journey.” Venture Beat, 16 Jul.2021,https://venturebeat.com/2021/07/16/a-quarter-of-taiwanese-companies- are-well-into-their-ai-journey/. Aisyah, Kirana. “AI is Future of Health Care in Taiwan.” Open Gov Asia, 15 Jun. 2021, https://opengovasia.com/ai-is-future-of-health-care-in-taiwan/. “Arterys.” Arterys, 2021, https://www.arterys.com/. Ashkenas, Ron. “Are You Adapting your Leadership strategy As Your Startup Grows?” Harvard Business Review, 2 Dec 2019, https://hbr.org/2019/12/are-you-adapting-your-leadership-strategy-as-your-startup-grows. Chang, Eric. “35,000 Taiwanese Visited the Doctor More Than 90 Times Last Year.” Taiwan News, 5 Jun. 2020, https://www.taiwannews.com.tw/en/news/3945070. Chang, Ming-Hsuan and Pei-Ju Teng. “Linkou Chang Gung Hospital Most Profitable Medical Facility in Taiwan.” Focus Taiwan, 30 Mar. 2021, https://focustaiwan.tw/ business/202103300021. Dadge, Amond. “How Soon Should a Startup be Profitable?” LinkedIn, 30 Jun. 2020, https://www.linkedin.com/pulse/how-soon-should-startup-profitable-amod-dandge/. Everington, Keoni. “Taiwan Reports Highest Unemployment Rate in 10 Years Amid Lockdown.” Taiwan News, 22 Jul. 2021, https://www.taiwannews.com.tw/ en/news/4255191. Feigenbaum, Evan A. “Assuring Taiwan’s Innovation Future.” Carnegie Endowment for International Peace, 29 Jan. 2020, https://carnegieendowment.org/2020/01/29/ assuring-taiwan-s-innovation-future-pub-80920. Jennings, Ralph. “How Taiwan is Becoming a Top Destination for Artificial Intelligence in Asia.” Forbes, 29 Sep. 2018, https://www.forbes.com/sites/ralphjennings/ 2018/09/29/how-taiwan-is-becoming-a-top-destination-for-artificial-intelligence-in- asia/?sh=76c2ea2540a0. Kachaner, Nicolas, Kermit King, and Sam Stewart. “Four Best Practices for Strategic Planning.” BCG, 14 Apr. 2016, https://www.bcg.com/publications/2016/growth- four-best-practices-strategic-planning. Koh, Dean. “Taipei’s Wan Fang Hospital Collaborates with HTC DeepQ to Build VR Patient Education Room.” Healthcare IT News, 23 Jan. 2019, https://www.health careitnews.com/news/asia/taipei-s-wan-fang-hospital-collaborates-htc-deepq-build- vr-patient-education-room. Nall, Rachel. “Liver Fibrosis.” Healthline, 13 Nov. 2018, https://www.healthline.com/ health/liver-fibrosis#diagnosis. Rickards, Jane. “Taiwan Hospitals Controlling Costs While Fighting Disease.” AmCham Taiwan, 2020 Nov. 22, https://topics.amcham.com.tw/2020/11/taiwan-hospitals-controlling-costs-fighting-covid/. Strong, Matthew. “Taiwan Uses AI to Promote Smart Healthcare Efficiency.” Taiwan News, 27 Oct. 2020, https://www.taiwannews.com.tw/en/news/4038766. Sumant, Gamage and Rupali Swain. “Healthcare Artificial Intelligence Market.” Global Market Insights, Dec. 2020., https://www.gminsights.com/industryanalysis/ healthcare-artificial-intelligencemarket?utm_source=GoogleAds utm_ medium=Adwords utm_campaign=HealthcarePPC gclid=Cj0KCQjwjo2JBhCRA RIsAFG667VMGY4V7WYPCh8I0qOilW8Nko3nO9rlUjy1oEVQ7Ywyf1HsoejPv caAt2zEALw_wcB. Sun, Maggie. “6 Facts About Healthcare in Taiwan.” Borgen Project, 23 Sep. 2020, https://borgenproject.org/facts-about-healthcare-in-taiwan/. “Taiwan Economic Outlook.” Focus Economics, 21 Sep 2021, https://www.focus- economics.com/countries/Taiwan. “Taiwan Gains Global Recognition for its Competitive and Cost-Effective Medical Services.” Bio Spectrum Asia, 20 Dec 2019, https://www.biospectrumasia.com/ news/30/15119/taiwan-gains-global-recognition-for-its-competitive-and-cost- effective-medical-services-.html. “Taiwan’s Guidance on Registration of Artificial Intelligent/Machine Learning-Based Software as a Medical Device (AI/ML-Based SaMD)”. Pharma to Market, 12 Dec. 2020, https://www.pharmatomarket.com/taiwan-guidance-on-registration-of- artificial-intelligent-machine-learning-based-software-as-a-medical-device-ai-ml- based-samd/. “The Taiwanese MedTech Transforming Healthcare.” BBC, 2020, http://www.bbc.com /storyworks/future/transforming-taiwan/the-taiwanese-medtech-transforming- healthcare. Toews, Rob. “These Are the Startups Applying AI to Transform Healthcare.” Forbes, 20 Aug. 2020, https://www.forbes.com/sites/robtoews/2020/08/26/ai-will- revolutionize-healthcare-the-transformation-has-already-begun/?sh=6f0deafc722f. Wang, Shu-Lin and Ding-Kuo Chien. “Legal Problems Faced by Hospitals Seeking to Implement Artificial-Intelligence-Based Medical Treatments in Taiwan.” AME Publishing Company, Dec 2020, https://ht.amegroups.com/article/view/6435/html. Watt, Louise. “Taiwan’s Healthcare Gets Boost from AI.” AmCham Taiwan, 24 Sep. 2020, https://topics.amcham.com.tw/2020/09/taiwan-healthcare-ai/. Wilson, Tim. “No Longer Science Fiction, AI and Robotics are Transforming Healthcare.” PricewaterhouseCoopers, Jun. 2017, https://www.pwc.com/ gx/en/industries/ healthcare/publications/ai-robotics-new-health/transforming-healthcare.html. Wu, Tai-Yin, Azeem Majeed, and Ken N Kuo. “An Overview of the Healthcare System in Taiwan.” US National Library of Medicine National Institutes of Health, Dec 2010, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3960712/. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80569 | - |
| dc.description.abstract | "Ever Fortune.AI is a Taiwanese medical artificial intelligence (AI) company founded in 2018 with the goal of increasing the speed, efficiency, and accuracy of medical diagnosis by leveraging deep learning technologies to transform big data into functional models to be applied to a variety of medical scenarios. Simply put, Ever Fortune.AI aggregates and analyzes a massive amount of anonymized patient data to provide 2 types of offerings to clients: 1) out-of-the-box medical AI technology solutions and 2) customized medical AI offerings tailored to the customer’s specific scope and built on Ever Fortune.AI’s biomedical cloud big data platform. Ultimately, both types of services bring benefits to hospitals, medical providers, and patients by providing quicker access to more accurate medical data and recommendations. Through this thesis paper, I will ultimately propose a short-term, mid-term, and long-term plan for Ever Fortune.AI’s growth given the company’s current growth trajectory as well as analysis around both external and internal factors impacting Ever Fortune.AI’s expansion. As Ever Fortune.AI is already an established company with 3+ years of experience since 2018, I will first introduce key background information concerning Ever Fortune.AI’s vision statement and history for an understanding of the company’s current state status. Then, I will proceed with my analysis on the 4 key external factors I believe are influencing Ever Fortune.AI’s growth, and these factors include market, customer, competitors, and government regulations and certifications. Next, I will introduce the 4 key internal factors I believe are impacting Ever Fortune.AI by highlighting Ever Fortune.AI’s products and business, organization, marketing, and financials. After explaining how all 8 of these external and internal factors have and will continue to impact Ever Fortune.AI, I will then use my analysis as inputs to conclude this paper with my proposed high-level strategic plan for Ever Fortune.AI. The purpose of this high-level plan is not to detail out all the key milestones Ever Fortune.AI will need to achieve in the next 5+ years. Instead, the purpose of the high-level plan is to drive large, company-wide initiatives for Ever Fortune.AI to focus on every 1-2 years to ensure the company continues its fast pace of innovation and growth. " | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:09:35Z (GMT). No. of bitstreams: 1 U0001-2510202111445400.pdf: 5675404 bytes, checksum: 25eddb67e34c57c25708139caf9654e2 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 1. Purpose 1 2. Introduction 2 2.1 Vision Statement 2 2.2 History 3 2.3 PEST Analysis 4 3. External Factors Analysis 7 3. 1 Market 7 3.1.1 Current State Status 7 3.1.2 Key Takeaways for Ever Fortune.AI 11 3. 2 Customer 13 3.2.1 Current State Status 13 3.2.2 Key Takeaways for Ever Fortune.AI 18 3. 3 Competitors 19 3.3.1 Current State Status 19 3.3.2 Porter’s Five Forces Analysis 21 3.3.3 Key Takeaways for Ever Fortune.AI 24 3.4 Government Regulations Certifications 26 3.4.1 Current State Status 26 3.4.2 Key Takeaways for Ever Fortune.AI 28 4. Internal Factors Analysis 30 4.1 Products and Business Model 30 4.1.1 Current State Status 30 4.1.1.1 Product Introduction 30 4.1.1.2 Product Pricing 38 4.1.2 Key Takeaways for Ever Fortune.AI 39 4.2 Organization 40 4.2.1 Current State Status 40 4.2.2 Key Takeaways for Ever Fortune.AI 43 4.3 Marketing 45 4.3.1 Current State Status 45 4.3.2 Key Takeaways for Ever Fortune.AI 48 4.4 Financials 49 4.4.1 Current State Status 49 4.4.2 Key Takeaways for Ever Fortune.AI 55 5. Recommendation: High-Level Strategic Plan 56 5.1 Overall Summary (SWOT Reverse SWOT Analysis) 56 5.2 Ever Fortune.AI’s Recommended Short-Term Strategic Plan (1-2 years) 61 5.3 Ever Fortune.AI’s Recommended Mid-Term Strategic Plan (3-5 years) 63 5.4 Ever Fortune.AI’s Recommended Long-Term Strategic Plan (5+ years) 65 References 67 List of Figures and Illustrations Figure 1: % of Taiwan Science Engineering PhDs Remaining in the United States 11 Figure 2: Ever Fortune.AI's Core Working Team 13 Figure 3: 2018 Taiwan Medical Tourists by Country 16 Figure 4: 2019 Top Taiwan Hospitals by Revenue (in billions NTD)) 17 Figure 5: Porter's 5 Forces Analysis 26 Figure 6: Bone Age Assessment Product Overview 31 Figure 7: Breast Ultrasound Tumor Classification System Overview 32 Figure 8: Computer Tomography Liver Cancer Metastatic Risk Assessment System Overview 33 Figure 9: Liver Fibrosis Assessment System Overview 34 Figure 10: Atrial Fibrillation Detection System Heart Arrhythmia Types 35 Figure 11: Arterys MICA Examples 36 Figure 12: Biomedical Cloud Big Data Platform Dashboard 37 Figure 13: Ever Fortune.AI’s Organization Chart 40 Figure 14: Ever Fortune.AI's Partnerships 46 Figure 15: Ever Fortune.AI's Sharing at the 2021 AWS Taipei Summit 47 List of Tables Table 1: Ever Fortune.AI's Historical Timeline 5 Table 2: PEST Analysis 8 Table 3: Ever Fortune.AI's Top Competitors (2021) 21 Table 4: Ever Fortune.AI Business Model Overview 38 Table 5: Ever Fortune.AI's Business Units 42 Table 6: Financial Ratio Analysis on Ever Fortune.AI 50 Table 7: Major Financial Changes (Past 2 Years) 54 Table 8: External and Internal Factors Analysis Summary 57 Table 9: SWOT Analysis 58 Table 10: TOWS Analysis 59 | |
| dc.language.iso | en | |
| dc.subject | 長佳智能 | zh_TW |
| dc.subject | ever fortune | en |
| dc.title | 長佳智能商業企劃書 | zh_TW |
| dc.title | A Strategic Plan for Ever Fortune.AI’s Growth | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳建錦(Hsin-Tsai Liu),盧信銘(Chih-Yang Tseng) | |
| dc.subject.keyword | 長佳智能, | zh_TW |
| dc.subject.keyword | ever fortune, | en |
| dc.relation.page | 70 | |
| dc.identifier.doi | 10.6342/NTU202104125 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-10-28 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| 顯示於系所單位： | 管理學院企業管理專班(Global MBA) | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-2510202111445400.pdf 授權僅限NTU校內IP使用（校園外請利用VPN校外連線服務） | 5.54 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。