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  1. NTU Theses and Dissertations Repository
  2. 法律學院
  3. 科際整合法律學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98289
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor楊岳平zh_TW
dc.contributor.advisorYueh-Ping Yangen
dc.contributor.author連梓芊zh_TW
dc.contributor.authorTzu-Chien Lienen
dc.date.accessioned2025-08-01T16:05:20Z-
dc.date.available2025-08-02-
dc.date.copyright2025-08-01-
dc.date.issued2025-
dc.date.submitted2025-07-29-
dc.identifier.citation一、中文參考文獻
(一)期刊論文
丁正中、李彥錚(2013),〈2013年美國FICO巨量資料分析研討會考察紀要〉,《金融聯合徵信雜誌》,23期,頁36-46。
吳馥秀(2022),〈金融科技發展路徑圖—聯徵中心之個人信用評分資料便捷轉交機制例〉,《金融聯合徵信雜誌》,40期,頁3-7。
李彥錚(2020),〈淺介聯徵中心Open Data〉,《金融聯合徵信雜誌》,36期,頁14-22。
李智仁、鄭少珏(2006),〈我國信用資訊機構之探索—沿革、法制與展望〉,《全國律師》,10卷1 期,頁52-67。
周秀霞、沈中華(2012),〈資訊科技、資訊分享與銀行授信〉,《經濟研究》,48卷2期,頁253-286。
林信宏(2008),〈論信用資料交換法制之基礎〉,《金融聯合徵信雙月刊》,3期,頁26-41。
林信宏(2011),〈聯徵中心與信用資料保護簡介〉,《金融聯合徵信雙月刊》,17期,頁3-10。
林建甫(2014),〈全球信用報告體制之分析——針對美國、德國、日本、中國大陸之信用體制〉,《金融聯合徵信雙月刊》,24期,頁2-29。
林郁潔(2024),〈「T93企業用電及欠費紀錄」及「T95企業用水及繳費記錄資訊」新增項目介紹〉,《金融聯合徵信雜誌》,45期,頁75-77。
莊永丞(2024),〈論我國P2P網路借貸平台法制之迷思—民間借貸或違法吸金?〉,《月旦法學雜誌》,350期,68-95頁。
陳宇翔、許淑翔、趙羽涵(2019),〈以信任為基礎的理性計算:臺灣P2P網路借貸交易〉,《臺灣社會學刊》,第66期,頁1-54。
彭金隆(2023),〈金融科技創新與監理〉,《金融聯合徵信雜誌》,42期,頁27-30。
黃盈棠(2019),〈Open Banking、普惠金融與聯徵中心〉,《金融聯合徵信雜誌》,35期,頁17-25。
黃健雄(2020),〈介接公務機關資料介紹及作業管理規範說明〉,《金融聯合徵信雜誌》,36期,頁65-71。
楊岳平(2021),〈重省我國法下資料資料的基本法律議題—以資料的法律定性為中心〉,《歐亞研究》,17期,頁31-39。
楊淑玲、陳獻儀、張巧宜、蕭宇倫(2019),〈外部信評報告對P2P借貸平台是否具有資訊價值?〉,《管理學報》,36卷1期,頁29-51。
臧正運(2020),〈開放銀行與消費者賦權〉,《消費者報導》,471期,頁15-18。
臧正運(2024),〈金融科技發展的法制創新〉,《金融聯合雙月刊》,44期,頁24-29。
蔡慶義(2020),〈無信用資料客群信用取得之情形與風險評估〉,《金融聯合徵信雜誌》,36期,頁51-64。
鄭聖儒(2021),〈美國信用資訊市場及信用評分發展現況簡介〉,《金融聯合徵信》,第38期,頁3-13。
駱叔君(2008),〈美國公平信用報告法〉,《金融聯合徵信雜誌雙月刊》,1期,頁58-60。
聯徵中心(2018),〈創新與金融,金融與生活〉,《金融聯合徵信雜誌》,32期,頁1-2。
(二)學位論文
洪靜怡(2020),《我國個人金融信用評分法制之研究》,國立交通大學科技法律研究所碩士在職專班碩士論文。
莊淑娟(2017),《金融機構如何因應金融科技(Fintech)之浪潮:以P2P網路借貸平台為例》,國立台灣大學管理學院財務金融組碩士論文。
陳妍沂(2008),《美國財務資訊隱私權保護規定之研究》,國立政治大學法學院碩士在職專班碩士論文。
陳建彰(2015),《兩岸徵信業管理制度之比較研究》,國立政治大學法律科際整合研究所碩士論文。
彭愛玲(2018),《銀行和P2P借貸平台合作之營運模式—以美國為鏡》,東吳大學企業管理學系碩士論文。
鄒宇穎(2021),《臺灣P2P網路借貸發展之探討》,國立臺灣大學社會科學院經濟學系在職專班碩士論文。
(三)計畫報告
中央銀行(2018),《主要國家P2P借貸之發展經驗與借鏡》,載於:https://knowledge.cbc.gov.tw/front/references/inpage/4CAC703E-A033-EB11-80EB-000C29A1B907。
金融監督管理委員會(2020),《金融科技發展路徑圖(1.0)》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=1139&parentpath=0,7,478。
金融監督管理委員會(2022),《金融科技發展路徑圖重要措施及成效》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=1139&parentpath=0,7,478。
(四)網路資料或其他
LnB信用市集網站,https://www.lnb.com.tw/borrow-lnb-rank.html(最後瀏覽日:03/26/2025)。
Mark Lin(04/09/2024),《BNPL潛藏大危機!?》,載於:https://www.markreadfintech.com/p/bnpl-6b9。
Mark Lin(05/11/2023),《Zest:AI信貸讓金融更公平!》,載於:https://www.markreadfintech.com/p/zestai。
Mark Lin(07/19/2022),《美國P2P 大評比:Upstart、SoFi、LendingClub》,載於:https://www.markreadfintech.com/p/p2p-upstartsofilendingclub。
Mark Lin(11/03/2022),《另類數據信用評分》,載於:https://www.markreadfintech.com/p/cba。
中央通訊社(03/02/2023),《銀行用聯徵資料精準行銷挨罰 金管會持續從嚴把關》,載於:https://www.cna.com.tw/news/afe/202303020420.aspx。
中華民國銀行公會(12/31/2024),《銀行與P2P業者之業務合作彙總表》,載於:https://www.ba.org.tw/PublicInformation/Detail/4727?enumtype=ConsumerType&type=Cashcardinfo。
台灣經濟新報(07/20/2023),《從鴻源案到今日的 im.B:如何避免淪為「低風險高報酬」下的金融難民?》,載於:https://www.tejwin.com/insight/imb-%E9%BE%90%E6%B0%8F%E9%A8%99%E5%B1%80/。
安怡芸(2024),《金融科技問題系列—借貸式群眾募資平臺相關問題研究》,載於:https://www.ly.gov.tw/Pages/Detail.aspx?nodeid=6586&pid=239755。
朱漢崙(01/24/2022),《董事長郭建中:銀行ESG授信 聯徵中心扮引路人》,載於:https://www.ctee.com.tw/news/20220124700221-430505。
李靜宜(07/30/2019),《3家全上!純網銀執照名單終於揭曉,將來銀行、LINE Bank、樂天銀行通通取得執照!各自優勢大比較》,載於:https://www.ithome.com.tw/news/132123。
林勁傑(01/13/2025),《P2P 網路借貸平臺公會獲准成立 強調不逾金管會四條紅線》,載於:https://money.udn.com/money/story/5613/8487826。
邱金蘭(07/30/2024),《開放銀行卡關/開放銀行有開沒有放 消費者為何還是拿不到金融資料主導權?》,載於:https://money.udn.com/money/story/123742/8127857。
金融監督管理委員會(01/16/2024),《金管會核備銀行公會及財金公司所報開放銀行第三階段交易面資訊規範》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=202401160003&dtable=News。
金融監督管理委員會(04/14/2016),《金管會對於國內網路借貸平臺發展現況之說明》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=201604140004&toolsflag=Y&dtable=News。
金融監督管理委員會(08/03/2022),《「金融科技業者應用金融聯合徵信雜誌中心資料作業」服務之辦理近況》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0&mcustomize=news_view.jsp&dataserno=202208030001&dtable=News。
金融監督管理委員會(1/22/ 2024),《金管會提醒民眾透過網路借貸平臺從事借貸或投資活動需留意相關風險》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=201604140004&toolsflag=Y&dtable=News。
金融監督管理委員會(12/07/2017),《金管會備查銀行與網路借貸平臺業者合作自律規範》,載於:https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=201712070001&toolsflag=Y&dtable=News。
阿爾發金融科技網站,https://www.alphaft.io/?page_id=716(最後瀏覽日:03/26/2025)。
張小玫、周意庭(09/29/2016),《Fintech金融科技新創公司(六):Credit Karma》,載於:https://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=12825。
麻布記帳網站,https://moneybook.com.tw/(最後瀏覽日:03/26/2025)。
彭禎伶、魏喬怡(11/19/2020),《擴大版Open Banking 聯徵三資料2021底開放查詢》,載於:https://www.ctee.com.tw/news/20201119700680-439803。
普匯金融科技(02/06/2020),《美國第一家收購銀行的P2P借貸金融科技公司—Lending Club》,載於:https://www.influxfin.com/articlepage/P2P-loan-Lending%20Club。
普匯金融科技(03/28/2022),《科技獨角獸Upstart是飆股還是韭菜?》,載於:https://www.influxfin.com/articlepage/Upstart-fintech-loan。
普匯金融科技網站,https://www.influxfin.com/(最後瀏覽日:03/22/2025)。
鄉民貸網站,https://www.lend.com.tw/bflow.html(最後瀏覽日:03/22/2025)。
楊卓翰(11/07/2018),《台灣之光移送檢調 櫻桃支付創辦人:過去為我鼓掌,現在沒人幫我》,載於:https://www.cw.com.tw/article/5092829(最後瀏覽日:05/28/2025)。
電商隨筆(08/10/2016),《Lending Club 個案分析—P2P Lending》,載於:https://hsienblog.com/2016/08/10/lending-club-%E5%80%8B%E6%A1%88%E5%88%86%E6%9E%90/。
廖君雅(10/18/2016),《網路借貸平台 大咖、新秀都來了 金管會開放銀行投資P2P「無上限」》,載於:https://grinews.com/news/%E7%B6%B2%E8%B7%AF%E5%80%9F%E8%B2%B8%E5%B9%B3%E5%8F%B0-%E5%A4%A7%E5%92%96%E3%80%81%E6%96%B0%E7%A7%80%E9%83%BD%E4%BE%86%E4%BA%86-%E9%87%91%E7%AE%A1%E6%9C%83%E9%96%8B%E6%94%BE%E9%8A%80%E8%A1%8C%E6%8A%95/(最後瀏覽日:05/28/2025)。
廖珮君(04/06/2021),《個資外洩疑慮!金管會開放金融科技業也能看「個人信用評分」》,載於:https://www.smartloan.com.tw/viewNewMessageDetail.do?new sId=653。
聯合新聞網(05/16/2018),《渣打攜手信用市集 創銀行P2P業結盟首例》,載於:https://www.lnb.com.tw/blog/mediapress/udnnews20180516/。
聯徵中心網站,https://www.jcic.org.tw/main_ch/index.aspx(最後瀏覽日:03/26/2025)。
顏理謙(12/15/2015),《Google也看好的線上信用評比:Credit Karma》,載於:https://www.bnext.com.tw/article/38224/BN-2015-12-15-101511-178。
魏喬怡、彭禎伶(01/26/2022),《個人信評資料 開放直傳P2P借貸》,載於: https://www.ctee.com.tw/news/20220126700244-430301。
二、英文參考文獻
(一)專書
DESHPANDE, ASHWINI (ed.)(2023), HANDBOOK ON ECONOMICS OF DISCRIMINATION AND AFFIRMATIVE ACTION.
Miller, Margaret J. (ed.)(2003), CREDIT REPORTING SYSTEMS AND THE INTERNATIONAL ECONOMY.
(二)期刊論文
Alesina, Alberto, Lotti, Francesca & Mistrulli, Pierangelo E (2013), Do Women Pay More for Credit? Evidence from Italy, 11 JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION 45.
Bartlett, Robert, Morse, Adair, Stanton, Richard & Wallace, Nancy (2022), Consumer-Lending Discrimination in the FinTech Era, 143 JOURNAL OF FINANCIAL ECONOMICS 30.
Claessens, Stijn, Frost, Jon, Turner, Grant & Zhu, Feng (2018), Fintech Credit Markets Around the World: Size, Drivers and Policy Issues, BIS QUARTERLY REVIEW, 29.
Disemadi, Hari Sutra, Saputra, Deny Setiawan & Hartanto, Andri (2020), The Problems of Consumer Protection in Fintech Peer to Peer Lending Business Activities in Indonesia, 3 SOCIOLOGICAL JURISPRUDENCE JOURNAL 91, https://doi.org/10.22225/scj.3.2.1798.91-97.
Emekter, Riza, Yilian Tu, Benjamas Jirasakuldech & Mark Lu (2015), Evaluating Credit Risk and Loan Performance in Online Peer-to-Peer (P2P) Lending, 47(1) APPLIED ECONOMICS 54.
Fracassi, Cesare & Magnuson, William (2021), Data Autonomy, 74 VANDERBILT LAW REVIEW 327.
Fuster, Andreas, Goldsmith-Pinkham, Paul, Ramadorai, Tarun & Walther, Tetyana (2021), Predictably Unequal? The Effects of Machine Learning on Credit Markets, 77(1) JOURNAL OF FINANCE 5.
Hunt, Robert M. (2002) , What’s in the File? The Economics and Law of Consumer Credit Bureaus, Q2 BUSINESS REVIEW (FEDERAL RESERVE BANK OF PHILADELPHIA) 17.
Jagtiani, Julapa & Lemieux, Catharine (2018), Do Fintech Lenders Penetrate Areas That Are Underserved by Traditional Banks?, 100 JOURNAL OF ECONOMICS AND BUSINESS 43.
Jagtiani, Julapa & Lemieux, Catharine (2019), The Roles of Alternative Data and Machine Learning in Fintech Lending: Evidence from the LendingClub Consumer Platform, 48(4) FINANCIAL MANAGEMENT 1027.
Müller, Marcus (2023), Exploring the Evolution and Impact of Credit Scoring in the European Union: An Analysis of Alternative Data, Individual Consumer Data, and Regulatory Frameworks, 4 unpublished essay, University of Twente.
Myers, Andreas (2022), Banks Are “Open” for Business: Recommended Revisions to Section 1033 of the Dodd-Frank Act, 24 NORTH CAROLINA JOURNAL OF LAW & TECHNOLOGY 70.
Pagano, Marco & Jappelli, Tullio (1993), Information Sharing in Credit Markets, 48 JOURNAL OF FINANCE 1693.
Schueffel, Patrick (2016), Taming the Beast: A Scientific Definition of Fintech, JOURNAL OF INNOVATION MANAGEMENT 32.
Singh, Jagjot (2023), The (Un)Fair Credit Reporting Act: How Courts Have Undermined the Protections of the FCRA, 97 ST. JOHN’S LAW REVIEW 273.
Vercammen, James A. (1995), Credit Bureau Policy and Sustainable Reputation Effects in Credit Markets, 62 ECONOMICA 461.
Weinberg, Jonathan (2018), “Know Everything That Can Be Known About Everybody”: The Birth of the Credit Report, 63 VILLANOVA LAW REVIEW 431.
(三)計畫報告
Bostic, Raphael W., Engelhardt, Gary V., McCarthy, George W. & Stoll, Michael A. (2004), Hitting the Wall: Credit as an Impediment to Homeownership, Joint Center for Housing Studies of Harvard University, BABC 04-5, https://www.jchs.harvard.edu/sites/default/files/babc_04-5.pdf.
Brodsky, Laura & Oakes, Liz (2017), Data Sharing and Open Banking, McKinsey & Company, https://www.mckinsey.com/industries/financial-services/our-insights/data-sharing-and-open-banking.
Consumer Financial Protection Bureau (2025), List of Consumer Reporting Companies, https://files.consumerfinance.gov/f/documents/cfpb_consumer-reporting-companies_list_2025.pdf.
Cooper, Cheryl R. (2023), Consumer Credit Reporting, Credit Bureaus, Credit Scoring, and Related Policy Issues, Congressional Research Service, R44125, https://crsreports.congress.gov/product/pdf/R/R44125.
Doerr, Sebastian, Frost, Jon, Gambacorta, Leonardo & Shin, Hyun Song (2023), Privacy Regulation and Fintech Lending, C.E.F.R. Discussion papers, Working Paper No. 4353798, https://ssrn.com/abstract=4353798.
Ejaz, Syed (2021), A Broken System: How the Credit Reporting System Fails Consumers and What to Do About It, Consumer Reports, https://advocacy.consumerreports.org/research/a-broken-system-how-the-credit-reporting-system-fails-consumers-and-what-to-do-about-it/.
Financial Stability Oversight Council (2016), 2016 Annual Report, https://home.treasury.gov/system/files/261/FSOC-2016-Annual-Report.pdf.
Jappelli, Tullio & Pagano, Marco (2000), Information Sharing in Credit Markets: A Survey, , Working Paper No. 36.
U.S. Department of the Treasury (2018), A Financial System That Creates Economic Opportunities: Nonbank Financials, Fintech, and Innovation, https://home.treasury.gov/sites/default/files/2018-07/A-Financial-System-that-Creates-Economic-Opportunities---Nonbank-Financi....pdf.
World Bank (2003), Doing Business in 2004: Understanding Regulation, https://www.doingbusiness.org/content/dam/doingBusiness/media/Annual-Reports/English/DB04-FullReport.pdf.
World Bank (2020), Doing Business 2020: Comparing Business Regulation in 190 Economies, http://hdl.handle.net/10986/32436.
World Bank (2025), The Use of Alternative Data in Credit Risk Assessment: Opportunities, Risks, and Challenges, https://openknowledge.worldbank.org/server/api/core/bitstreams/dde85d69-37ac-415e-bc9d-9d6990189da2/content.
(四)網路資料或其他
Board of Governors of the Federal Reserve System, Federal Fair Lending Regulations and Statutes: Equal Credit Opportunity (Regulation B), Consumer Compliance Handbook, http://www.federalreserve.gov/boarddocs/supmanual/cch/fair_lend_reg_b.pdf.
CaseGuard, The CCRRA: Establishing a New Standard for Credit Reporting (November 17, 2021), https://caseguard.com/articles/the-ccrra-establishing-a-new-standard-for-credit-reporting/.
Consumer Data Industry Association, About CDIA, https://www.cdiaonline.org/about/about-cdia/.
Consumer Data Industry Association, Credit FAQ, CDIA, https://www.cdiaonline.org/for-consumers/credit-faq/.
Consumer Data Industry Association, How Credit Reporting Works, https://www.cdiaonline.org/for-consumers/how-credit-reporting-works/.
Consumer Data Industry Association, Metro 2 Format for Credit Reporting, https://www.cdiaonline.org/resources/furnishers-of-data-overview/metro2-information/.
Consumer Financial Protection Bureau, CFPB to Supervise Credit Reporting (July 16, 2012), https://www.consumerfinance.gov/about-us/newsroom/consumer-financial-protection-bureau-to-superivse-credit-reporting/.
Consumer Financial Protection Bureau, Medical Debt Burden in the United States (March 01, 2022), https://www.consumerfinance.gov/data-research/research-reports/medical-debt-burden-in-the-united-states/.
Consumer Financial Protection Bureau, What is a FICO Score?, https://www.consumerfinance.gov/ask-cfpb/what-is-a-fico-score-en-1883/.
Consumer Financial Protection, Understanding Online Marketplace Lending (2016), Bureauhttps://files.consumerfinance.gov/f/201603_cfpb_understanding-online-marketplace-lending.pdf.
Cowley, Stacy, Left for Dead, the C.F.P.B. Inches Back to Life (March 15, 2025), The New York Times, https://www.nytimes.com/2025/03/15/business/trump-cfpb.html.
Dun & Bradstreet, https://www.dnb.com/en-us/.
Equifax, API Products, https://developer.equifax.com/products/apiproducts.
Equifax, Furnishing Consumer Data to Equifax, https://www.equifax.com/business/data-furnishers/consumer/.
Equifax, Furnishing Data to Equifax, https://www.equifax.com/business/data-furnishers.
Experian, 750 Credit Score: Is it Good or Bad?, https://www.experian.com/blogs/ask-experian/credit-education/score-basics/750-credit-score/.
Experian, Access Security Requirements for FCRA and GLB 5A Data, https://www.experian.com/content/dam/marketing/na/assets/im/consumer-information/general/Access-Security-Requirements-for-FCRA-and-GLB5A.pdf
Experian, Consumer Data Reporting Services, https://www.experian.com/business/solutions/data-furnisher-reporting/report-to-credit-bureau.
Experian, Do Insurance Companies Report to the Credit Bureaus?, https://www.experian.com/blogs/ask-experian/do-insurance-companies-report-to-credit-bureaus/.
Experian, Experian Boost: Raise Your Credit Score for Free, https://www.experian.com/credit/score-boost/.
Experian, Explore Our Solutions, https://www.experian.com/business/
Experian, Global Developer Portal Privacy Policy, https://developer.experian.com/privacy-policy.
Experian, Our Products, https://developer.experian.com/products.
Experian, Reach Your Credit and Money Goals, https://www.experian.com/.
Federal Trade Commission, Credit Reporting, https://www.ftc.gov/news-events/topics/consumer-finance/credit-reporting.
Federal Trade Commission, Free Credit Reports, https://consumer.ftc.gov/articles/free-credit-reports.
FICO, https://www.fico.com/en.
Huang, Elise, Rethinking Regulations for P2P Lending (2024) (Student Work No. 1498), https://scholarship.shu.edu/student_scholarship/1498.
INTUIT creditkarma, Free Credit Score, https://www.creditkarma.com/free-credit-score.
INTUIT creditkarma, https://www.creditkarma.com/.
Intuit, Global Privacy Statement, https://www.intuit.com/privacy/statement/.
Lemonade, Giveback, https://www.lemonade.com/giveback.
Lemonade, https://www.lemonade.com/.
Lemonade, Insurance Scores, Explained, https://www.lemonade.com/renters/explained/insurance-score/.
Lemonade, Security Center, https://securitytrust.lemonade.com/.
Lemonade, Terms of Service and Insurance Related Notices, https://www.lemonade.com/terms-of-service.
My FICO, https://www.myfico.com/.
Petal, Credit Report Authorization, https://www.petalcard.com/legals/credit-report-authorization.
Petal, https://www.petalcard.com/.
Petal, Petal Credit Cards, https://www.experian.com/credit-cards/partner/petal/.
Petal, What is a Cash Score, https://support.petalcard.com/hc/en-us/articles/360056749093-What-is-a-Cash-Score.
Prosper, https://www.prosper.com/.
Prosper, Prosper Privacy Policy & Federal Privacy Notice, https://www.prosper.com/legal/privacy-policy
Taulli, Tom, Upstart: Can AI Kill The FICO Score? (August 13, 2021), https://www.forbes.com/sites/tomtaulli/2021/08/13/upstart-can-ai-kill-the-fico-score/.
The Partnered Pen, I Learned the Hard Way: Credit Karma is a Scam (July 10, 2021), https://medium.com/the-partnered-pen/i-learned-the-hard-way-credit-karma-is-a-scam-89f67dd3140e.
TransUnion, Data Security, https://www.transunion.com/client-support/data-security.
United States Government, Learn about your credit report and how to get a copy, https://www.usa.gov/credit-reports.
Upstart, Data Security and Privacy, https://www.upstart.com/lenders/regulatory-compliance/data-security-and-privacy/.
Upstart, How Do I Apply for A Loan?, https://upstarthelp.upstart.com/application-process/apply-for-an-upstart-loan.
Upstart, Our Story, https://www.upstart.com/our-story.
Upstart, Unsecured Personal Loans: How They Work, https://upstarthelp.upstart.com/personal-loans/unsecured-personal-loans-how-they-work。
Upstart, Upstart Announces Fourth Quarter and Full Year 2024 Results (February 11, 2025, 4:05 PM), https://ir.upstart.com/news-releases/news-release-details/upstart-announces-fourth-quarter-and-full-year-2024-results/.
Upstart, Upstart Privacy Policy, https://www.upstart.com/privacy_policy.
Upstart, What is your credit score?, https://www.upstart.com/credit-score/.
ZEST AI , Zest AI Ranked as a Fastest-Growing Company in North America on the 2024 Deloitte Technology Fast 500™ (November 21, 2024), https://www.zest.ai/company/announcements/zest-ai-ranked-as-a-fastest-growing-company-in-north-america-on-the-2024-deloitte-technology-fast-500/.
Zest AI, https://www.zest.ai/.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98289-
dc.description.abstract個人信用資料之蒐集、處理與交換,為多數國家長期以來積極推動的制度。透過健全之信用資料體系,個人可掌握其信用狀況,金融機構亦能有效且正確評估個人信用情形,進而強化金融交易之信賴基礎,促進整體金融市場穩定運作。我國現行由財團法人金融聯合徵信中心(下稱聯徵中心)統籌個人信用資料之蒐集、處理與交換,並依據銀行間徵信資料處理交換服務事業許可及管理辦法、聯徵中心會員規約等規範運作,長期維持穩健之個人信用資料體系。
惟隨著金融科技(Financial Technology, FinTech)的快速發展,金融科技業者對於聯徵中心信用資料的需求日益增長,而對現行制度構成挑戰。為因應此一趨勢,本文擬以金融科技業者為中心,從比較法視角出發,探討美國所採行之私營信用報告機制之實務運作,並分析美國所制定之公平信用報告法(Fair Credit Reporting Act, FCRA)及金融科技業者使用信用資料之相關規範,探討其促進信用資料流通、維繫信用資料安全與強化金融監理之平衡機制。
綜整比較結果,本文建議我國未來應適度開放金融科技業者直接介接聯徵中心信用資料。考量金融科技業者之資源與規模限制,建議可採取漸進式調整政策,短期內先行開放金融科技業者得購買聯徵中心信用資料,長期則可制定明確之加入標準與風險控管機制,供金融科技業者得自願申請加入成為聯徵中心之會員機構,藉此兼顧創新發展與信用資料體系維護,促進我國個人信用資料制度之彈性。
zh_TW
dc.description.abstractThe collection, processing, and exchange of personal credit data have long been actively promoted in many countries as a fundamental institutional framework. A sound credit information infrastructure enables individuals to understand their credit status and allows financial institutions to assess credit risk accurately and efficiently, thereby strengthening the foundation of trust in financial transactions and promoting the stability of the overall financial market. In Taiwan, the Joint Credit Information Center (JCIC), a non-profit organization, is responsible for coordinating the collection, processing, and exchange of personal credit data. The JCIC operates in accordance with relevant regulations, including the Regulations Governing Authorization and Administration of Service Enterprises Engaged in Interbank Credit Information Processing and Exchange, as well as the JCIC Membership Rules. The JCIC has maintained a stable and reliable credit information system over the years.
However, with the rapid development of financial technology (FinTech), Fintech firms are increasingly demanding access to credit data managed by the JCIC, thereby posing challenges to the existing regulatory framework. In response to this trend, this paper focuses on FinTech firms and adopts a comparative legal approach to examine the operational practices of the private credit reporting system in the United States. It analyzes the structure of the federal Fair Credit Reporting Act (FCRA) and the relevant legal provisions governing the use of credit data by FinTech companies, exploring how the U.S. balances the goals of promoting data flow, ensuring data security, and enhancing financial supervision.
Based on a comprehensive comparative analysis, this paper recommends that Taiwan should gradually open access for fintech companies to directly connect with JCIC credit data. In light of the resource and scale limitations faced by fintech firms, a phased policy approach is advised. In the short term, fintech companies should be permitted to purchase credit data from the JCIC. In the long term, clear eligibility criteria and risk control mechanisms should be established, enabling fintech firms to voluntarily apply for membership in the JCIC. This dual approach aims to balance the promotion of financial innovation with the integrity of the credit data system, thereby enhancing the flexibility and effectiveness of Taiwan’s personal credit information framework.
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dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-01T16:05:20Z
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dc.description.tableofcontents摘要 i
ABSTRACT ii
目次 iv
圖次 vii
表次 viii
第一章 緒論 1
第一節 研究動機與目的 1
第二節 研究範圍與對象 2
第三節 研究方法 4
第四節 研究架構 4
第二章 聯徵中心之信用資料規範現況與疑慮 6
第一節 聯徵中心之功能與運作機制 6
第一項 聯徵中心之功能 6
第二項 聯徵中心信用資料之運作機制 8
第二節 聯徵中心之信用資料規範 9
第一項 銀行法、銀行間徵信資料處理交換服務事業許可及管理辦法 9
第二項 財團法人金融聯合徵信中心會員規約與相關規範 11
第三節 聯徵中心之信用資料規範疑慮 13
第一項 金融隱私權 13
第二項 信用資料之不當使用 14
第三項 法源之正當性 14
第四節 聯徵中心之信用資料與新興金融科技 15
第一項 電子支付機構 16
第二項 介接公務機關資料 17
第三項 替代性資料 18
第四項 金融科技業者 19
第五項 P2P網路借貸平台 20
第六項 小結 31
第三章 信用資料規範之文獻回顧 32
第一節 信用資料制度之規範理論 32
第一項 信用資料交換與分享之目的 32
第二項 信用資料制度之管理模式 34
第二節 金融科技業者對於信用資料的需求 36
第一項 金融科技與信用資料 36
第二項 信用資料制度之不平等問題 38
第三節 金融科技業者介接信用資料的疑慮 39
第一項 金融科技業者之經營風險 39
第二項 金融科技業者分享與交換信用資料之疑慮 40
第三項 小結 41
第四章 美國之信用資料規範 43
第一節 美國信用報告機構與信用評分機構 43
第一項 美國之信用報告機構 43
第二項 美國之信用評分機構 44
第三項 美國信用資料之運作 45
第四項 信用報告與信用評分之收費機制 46
第二節 美國之信用資料規範 46
第一項 美國公平信用報告法 47
第二項 其他相關規範 55
第三項 美國信用資料規範之主管機關 57
第四項 消費者資料產業協會 58
第三節 美國之信用資料規範疑慮 59
第一項 信用資料錯誤問題 59
第二項 信用資料爭議與更正機制不足 60
第三項 資料提供者缺乏足夠動機報送信用資料 61
第四項 小結 61
第四節 美國金融科技業者對於信用資料之需求 61
第一項 美國金融科技業者 62
第二項 美國金融科技業者如何取得與報送信用資料 68
第三項 小結 71
第五章 美國信用資料規範對於我國聯徵中心之啟示 72
第一節 我國信用資料制度之現況 72
第二節 我國與美國信用資料制度之異同 73
第三節 我國信用資料制度與金融科技業者之資料串接 74
第一項 現行運作機制 75
第二項 金融科技業者成為聯徵中心會員機構之疑慮 75
第三項 美國之運作機制 77
第四節 本文建議 78
第一項 允許金融科技業者購買聯徵中心之信用資料 79
第二項 允許金融科技業者加入聯徵中心會員 79
第五節 走向市場化? 85
第六章 結論 86
參考文獻 88
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dc.language.isozh_TW-
dc.subject信用報告zh_TW
dc.subject信用資料zh_TW
dc.subject信用評分zh_TW
dc.subject財團法人金融聯合徵信中心zh_TW
dc.subjectP2P網路借貸平台zh_TW
dc.subject金融科技zh_TW
dc.subject公平信用報告法zh_TW
dc.subjectCredit Reporten
dc.subjectFair Credit Reporting Agency (FCRA)en
dc.subjectFintechen
dc.subjectP2P Lending Platformen
dc.subjectJoint Credit Information Center (JCIC)en
dc.subjectCredit Scoringen
dc.subjectCredit Dataen
dc.title我國金融科技業者使用聯合徵信信用資料之規範研究—以美國信用資料規範為比較研究對象zh_TW
dc.titleRegulating the Use of JCIC Credit Data by FinTech Businesses in Taiwan: A Comparative Study of the U.S. Credit Data Regulationsen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee郭大維;鄭瑞健zh_TW
dc.contributor.oralexamcommitteeTa-Wei Kuo;Jui-Chien Chengen
dc.subject.keyword信用報告,信用資料,信用評分,財團法人金融聯合徵信中心,P2P網路借貸平台,金融科技,公平信用報告法,zh_TW
dc.subject.keywordCredit Report,Credit Data,Credit Scoring,Joint Credit Information Center (JCIC),P2P Lending Platform,Fintech,Fair Credit Reporting Agency (FCRA),en
dc.relation.page103-
dc.identifier.doi10.6342/NTU202502713-
dc.rights.note未授權-
dc.date.accepted2025-07-31-
dc.contributor.author-college法律學院-
dc.contributor.author-dept科際整合法律學研究所-
dc.date.embargo-liftN/A-
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