Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 創業創新管理碩士在職專班(EiMBA)
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95487
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳家麟zh_TW
dc.contributor.advisorChia-lin Chenen
dc.contributor.author鐘紫瑋zh_TW
dc.contributor.authorTzu-Wei Chungen
dc.date.accessioned2024-09-10T16:19:35Z-
dc.date.available2024-09-11-
dc.date.copyright2024-09-10-
dc.date.issued2024-
dc.date.submitted2024-08-08-
dc.identifier.citation一、 中文文獻(以筆畫多寡順序排列)
1. 兆豐產物保險. 《兆豐保險用心守護安全有顧》. 兆豐產物保險出版, 2022.
2. 李志明. 《金融科技創新對保險業未來發展與影響之研究》. 國立中山大學碩士學位論文, 2019.
3. 和泰產險. 《和泰產險以數位創新實踐綠色金融願景》. 和泰產險出版, 2023.
4. 周明達. 《網路保險:數位時代的保險創新》. 中華民國保險學會, 2021.
5. 吳明哲. 《我國保險業金融科技發展趨勢之風險管理及監理機制研究》. 國立臺灣大學博士學位論文, 2020.
6. 產險業的大變革-談金融科技異業合作的契機. KPMG, 2024
7. 經濟部. 《2022年台灣整體零售業銷售額統計報告》. 經濟部出版, 2023.
8. 劉子瑜. 《數位金融對銀行經營網路投保之影響與研究》. 國立政治大學碩士學位論文, 2020.

二、 英文文獻(以第一個英文字母順序排列)
1. Accenture. "Blockchain in Insurance: Risk Not, Reap More." Accenture, 2021.
2. Chen, Cha-Lin, Ph.D. "The Impact of digital FinTech on the Business Model Innovation of Property and Casualty Insurance Industry: A Case of Online Insurance." National Taiwan University, 2024.
3. Deloitte. "The Future of Insurance: How Technology Will Transform the Industry." Deloitte Insights, 2021.
4. FinTech Times. "FinTech Innovations and Challenges in the Insurance Industry." FinTech Times, 2021.
5. Insurance Journal. "InsurTech: Disrupting the Insurance Industry." Insurance Journal, 2020.
6. McKinsey & Company. "Insurance 2030: The Impact of AI on the Future of Insurance." McKinsey & Company, 2020.
7. Osterwalder, Alex, and Yves Pigneur. "Value Proposition Design: How to Create Products and Services Customers Want." Wiley, 2014.
8. PwC. "Global FinTech Report: Redrawing the Lines." PwC, 2020.
9. World Economic Forum. "The Future of Financial Services: How Disruptive Innovations are Reshaping the Way Financial Services are Structured, Provisioned and Consumed." World Economic Forum, 2018.

三、 網站資料
1. 中華民國保險學會. "保險科技的未來發展趨勢".
https://www.tii.org.tw/tii/
2. 經濟部統計處. "2022年台灣整體零售業銷售額".
https://www.moea.gov.tw/Mns/populace/home/Home.aspx
3. 和泰產險. "和泰產險官方網站".
https://www.hotains.com.tw/
4. STP分析全攻略
5. https://slasherspace.com/the-complete-guide-to-stp-marketing/
6. 兆豐產物保險. "兆豐產物保險官方網站".
https://www.cki.com.tw/
7. 商業模式九宮格
https://blog.daoteng.org/
8. 保險產業數位轉型力
https://medium.com/@Alfred_Lo
9. FinTech Times. "FinTech Innovations and Challenges in the Insurance Industry".
https://www.fintech-times.com/
10. Insurance Journal. "InsurTech: Disrupting the Insurance Industry".
https://www.insurancejournal.com/
11. Deloitte Insights. "The Future of Insurance: How Technology Will Transform the Industry".
https://www2.deloitte.com/tw/tc.html
12. PwC. "Global FinTech Report: Redrawing the Lines".
https://www.pwc.com/gx/en.html
13. McKinsey & Company. "Insurance 2030: The Impact of AI on the Future of Insurance".
https://www.mckinsey.com/
14. Accenture. "Blockchain in Insurance: Risk Not, Reap More".
https://www.accenture.com/jp-ja
15. World Economic Forum. "The Future of Financial Services: How Disruptive Innovations are Reshaping the Way Financial Services are Structured, Provisioned and Consumed".
https://www.weforum.org/
-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95487-
dc.description.abstract隨著數位金融科技的迅速發展,全球各行各業都在經歷深刻的變革,保險業也不例外。本研究旨在探討數位金融科技對台灣產物保險網路投保商業模式創新的影響。由於保險業是一個高度監管且保守的行業,創新性相對較低,因此,本研究的動機在於利用數位金融科技提升保險業務的便捷性、安全性和客戶滿意度,推動保險業務模式的創新與轉型。
首先,本研究首先在緒論部分介紹了研究的動機、範圍與目的,以及研究方法與架構。研究方法包括田野調查法、文件蒐集法和半結構式訪談,以全面了解數位金融科技在保險業中的應用現狀及其影響。在文獻探討部分,我們回顧了數位金融科技的發展歷程,分析了保險科技(InsurTech)的興起及其對產物保險業的影響,並探討了數位金融科技驅動的網路投保創新模式及其未來發展趨勢。
在研究方法部分,本研究採用了PEST分析法從政治法律、經濟、社會和技術環境四個方面分析數位金融科技在產物保險中的應用背景。通過SWOT分析法,探討了數位金融科技應用於產物保險的優勢、劣勢、機會和威脅。STP市場目標定位分析幫助確定了數位金融科技應用的目標市場和定位,而價值主張圖則詳細分析了數位金融科技如何為保險公司和客戶創造價值。
在實證研究部分,提出了四個主要假設,探討數位金融科技在提升投保便捷性、客戶滿意度、降低運營成本及提升風險管理能力方面的作用。研究通過問卷調查、專家訪談和文獻蒐集方法收集了大量數據,並使用描述性統計、相關分析和迴歸分析等方法進行全面分析,驗證了研究假設。結果表明,數位金融科技顯著提升了產物保險網路投保的便捷性和客戶滿意度,降低了運營成本,並提升了風險管理能力。
透過在EiMBA的學習,了解到如何利用設計思考去理解消費者,接觸消費者,並挖掘到消費者的洞察力,以及拿到以上資料之後針對先前假設之痛點與解決方案不斷修正價值主張與商業模式,以達到產品市場契合度(Product-Market Fit,PMF)。
在第四章中,詳細探討了數位金融科技在產物保險中的具體應用,包括網路投保平台的架構設計、大數據在風險管理中的應用、人工智慧在理賠處理中的應用及區塊鏈技術在數據安全中的應用。這些技術應用不僅提升了保險服務的便捷性和安全性,還推動了商業模式的創新。通過實際案例分析,展示了和泰產險、兆豐產物保險及國際保險公司的成功經驗,證明了數位金融科技在保險業中的巨大潛力。
在結論部分,我們總結了本研究的主要發現,並針對產物保險公司和政策制定者提出了具體建議。保險公司應積極推動數位化轉型,利用數位技術提供更加便捷和個性化的服務,加強風險管理能力,提升客戶體驗,並強化數據安全和隱私保護。政策制定者應支持保險業數位化轉型,制定相關政策和措施,提供資金支持,加強數據安全監管,推動技術創新和應用,促進行業交流合作。最後,本研究指出未來應擴大資料收集範圍,增加樣本數量,進一步探討其他數位技術的應用,並採用多元化的研究方法,深入分析數位金融科技應用過程中的挑戰和解決方案。
總結來說,數位金融科技在保險業中的應用前景廣闊,保險公司和政策制定者應積極推動數位化轉型,提升服務質量和運營效率,實現業務的持續增長和發展。本研究希望能為保險業的數位化轉型提供有價值的參考,推動產物保險業務模式的創新。

關鍵詞:數位金融科技、產物保險、網路投保、商業模式創新、InsurTech、數位轉型、風險管理、客戶滿意度、大數據、人工智慧、區塊鏈技術
zh_TW
dc.description.abstractWith the rapid development of digital financial technology, various industries worldwide are undergoing profound transformations, and the insurance industry is no exception. This study aims to explore the impact of digital financial technology on the business model innovation of online property insurance in Taiwan. Given that the insurance industry is highly regulated and conservative, with relatively low innovation, the motivation of this research is to leverage digital financial technology to enhance the convenience, security, and customer satisfaction of insurance services, thereby driving the innovation and transformation of insurance business models.
Firstly, the introduction section of this study presents the research motivation, scope, and objectives, along with the research methods and framework. The research methods include field research, document collection, and semi-structured interviews to comprehensively understand the current status and impact of digital financial technology in the insurance industry. In the literature review section, we review the development history of digital financial technology, analyze the rise of InsurTech and its impact on the property insurance industry, and explore the innovation models of online insurance driven by digital financial technology and their future development trends.
In the research methodology section, this study employs PEST analysis to examine the application background of digital financial technology in property insurance from the perspectives of political, economic, social, and technological environments. Using SWOT analysis, the advantages, disadvantages, opportunities, and threats of applying digital financial technology to property insurance are discussed. The STP market segmentation, targeting, and positioning analysis helps determine the target market and positioning for the application of digital financial technology, while the value proposition canvas details how digital financial technology creates value for insurance companies and customers.
In the empirical research section, four main hypotheses are proposed to explore the role of digital financial technology in enhancing the convenience of insurance, customer satisfaction, reducing operational costs, and improving risk management capabilities. The study collects extensive data through surveys, expert interviews, and document collection methods, and uses descriptive statistics, correlation analysis, and regression analysis to comprehensively analyze and verify the hypotheses. The results show that digital financial technology significantly enhances the convenience and customer satisfaction of online property insurance, reduces operational costs, and improves risk management capabilities.
Through learning at EiMBA, I have understood how to use design thinking to understand consumers, engage with them, and uncover their insights. With the data collected, I constantly revise value propositions and business models to achieve product-market fit by addressing previously hypothesized pain points and solutions.
In Chapter Four, the study delves into the specific applications of digital financial technology in property insurance, including the architectural design of online insurance platforms, the application of big data in risk management, artificial intelligence in claims processing, and blockchain technology in data security. These technological applications not only improve the convenience and security of insurance services but also drive business model innovation. Through case studies, the success stories of Hotai Insurance, Chung Kuo Insurance, and international insurance companies are showcased, demonstrating the significant potential of digital financial technology in the insurance industry.
In the conclusion, we summarize the main findings of this study and provide specific recommendations for property insurance companies and policymakers. Insurance companies should actively promote digital transformation, use digital technology to offer more convenient and personalized services, enhance risk management capabilities, improve customer experience, and strengthen data security and privacy protection. Policymakers should support the digital transformation of the insurance industry by formulating relevant policies and measures, providing financial support, strengthening data security regulation, promoting technological innovation and application, and facilitating industry exchanges and cooperation. Finally, the study suggests expanding the scope of data collection, increasing sample size, further exploring the application of other digital technologies, and adopting diverse research methods to deeply analyze the challenges and solutions of digital financial technology applications.
In summary, the application prospects of digital financial technology in the insurance industry are broad. Insurance companies and policymakers should actively promote digital transformation to enhance service quality and operational efficiency, achieving sustained business growth and development. This study hopes to provide valuable references for the digital transformation of the insurance industry, driving innovation in property insurance business models.
I hope this research provides valuable references for property insurance companies during their digital transformation process and promotes the sustainable development of the insurance industry.

Keywords:Digital Financial Technology, Property Insurance, Online Insurance, Business Model Innovation, InsurTech, Digital Transformation, Risk Management, Customer Satisfaction, Big Data, Artificial Intelligence, Blockchain Technology.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-09-10T16:19:35Z
No. of bitstreams: 0
en
dc.description.provenanceMade available in DSpace on 2024-09-10T16:19:35Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents口試委員會審定書 i
感言與誌謝 ii
中文摘要 iv
ABSTRACT vi
目次 ix
圖次 xii
表次 xiii
第一章、緒論 1
第一節、研究動機 1
第二節、研究的範圍與目的 2
第三節、研究範圍與資料蒐集流程法 4
第四節、研究限制 5
第五節、研究方法與架構 5
一、田野調查法 5
二、文件蒐集法 5
三、半結構式訪談 6
四、問卷調查 9
第二章、文獻探討 13
第一節、PEST分析 13
一、政治法律環境(Political Factors) 13
二、經濟環境(Economic Factors) 15
三、社會環境(Social Factors) 16
四、技術環境(Technological Factors) 17
第二節、SWOT 分析 19
第三節、STP 市場目標定位分析 20
第四節、價值主張圖 22
第三章、產業分析 26
第一節、數位金融科技與產險產業的-PEST分析 27
一、政治法律環境(Political Factors) 27
二、經濟環境(Economic Factors) 32
三、社會環境(Social Factors) 37
四、技術環境(Technological Factors) 40
第二節、數位金融科技(Financial Technology, FinTech)的時代 45
第三節、保險科技(InsurTech)的興起 46
第四節、網路投保的創新模式 47
第四章、個案A公司分析與討論 49
第一節、A公司簡介 49
第二節、A公司產物保險電商的創新應用 49
一、網路投保平台的架構設計 51
二、大數據在風險管理中的應用 52
三、人工智慧在理賠處理中的應用 53
四、區塊鏈技術在數據安全中的應用 54
第三節、A公司產物保險-競爭能力SWOT 分析 55
一、內部環境分析 55
二、外部環境分析 57
第四節、A公司產物保險電商_STP 市場目標定位分析 60
一、半結構式訪談 60
二、問卷調查 61
三、市場區隔(Segmentation) 62
四、目標市場(Targeting) 63
五、市場定位(Positioning) 64
第五節、A公司產物保險電商-價值主張-用戶畫像與分析 65
一、A公司產物保險電商之用戶素描 66
二、A公司產物保險電商之價值主張 70
三、A公司產物保險電商之價值適配分析 75
第六節、未來展望 76
第五章、結論與建議 79
第一節、研究結論 79
第二節、對產物保險公司的建議 81
第三節、對政策制定者的建議 83
參考文獻 84
附錄一 受訪者背景概要與訪談問題 88
附錄二 問卷調查樣本 89
-
dc.language.isozh_TW-
dc.subject數位轉型zh_TW
dc.subject區塊鏈技術zh_TW
dc.subject人工智慧zh_TW
dc.subject大數據zh_TW
dc.subject客戶滿意度zh_TW
dc.subject數位金融科技zh_TW
dc.subject產物保險zh_TW
dc.subject網路投保zh_TW
dc.subject商業模式創新zh_TW
dc.subject保險科技zh_TW
dc.subject風險管理zh_TW
dc.subjectBig Dataen
dc.subjectBlockchain Technologyen
dc.subjectBusiness Model Innovationen
dc.subjectOnline Insuranceen
dc.subjectProperty Insuranceen
dc.subjectDigital Financial Technologyen
dc.subjectArtificial Intelligenceen
dc.subjectInsurTechen
dc.subjectDigital Transformationen
dc.subjectRisk Managementen
dc.subjectCustomer Satisfactionen
dc.title數位金融科技驅動產物保險電商創新之研究 —以A公司為例zh_TW
dc.titleResearch on Digital FinTech Driving Innovation in Property and Casualty Insurance E-commerce—A Case Study of Company Aen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree碩士-
dc.contributor.coadvisor簡睿哲zh_TW
dc.contributor.coadvisorRuey-Jer Jeanen
dc.contributor.oralexamcommittee余峻瑜;林益全zh_TW
dc.contributor.oralexamcommitteeJiun-Yu Yu;YI-QUAN LINen
dc.subject.keyword數位金融科技,產物保險,網路投保,商業模式創新,保險科技,數位轉型,風險管理,客戶滿意度,大數據,人工智慧,區塊鏈技術,zh_TW
dc.subject.keywordDigital Financial Technology,Property Insurance,Online Insurance,Business Model Innovation,InsurTech,Digital Transformation,Risk Management,Customer Satisfaction,Big Data,Artificial Intelligence,Blockchain Technology,en
dc.relation.page91-
dc.identifier.doi10.6342/NTU202402744-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2024-08-10-
dc.contributor.author-college管理學院-
dc.contributor.author-dept創業創新管理碩士在職專班-
dc.date.embargo-lift2029-07-31-
顯示於系所單位:創業創新管理碩士在職專班(EiMBA)

文件中的檔案:
檔案 大小格式 
ntu-112-2.pdf
  此日期後於網路公開 2029-07-31
3.49 MBAdobe PDF
顯示文件簡單紀錄


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。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved