IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v18y2020i4d10.1007_s10257-019-00404-z.html
   My bibliography  Save this article

RETRACTED ARTICLE: Big data and financial information analytics ecosystem: strengthening personal information under legal regulation

Author

Listed:
  • Shuai Li

    (East China Normal University)

  • Hao Yu

    (East China Normal University)

Abstract

In order to cope with the urgent need of legal regulation on the use of personal information by financial consumers under the background of big data, through the methods of literature study, empirical research and legal interpretation, the problems that the traditional rules are not applicable to China’s financial information platform, and financial information is exposed to a wide range of implications are discussed. In addition, the issues that it is difficult for financial consumers to relieve their rights, the scope of consumer’s personal information is unclear, and the obligation of financial institutions to inform is non-specific are analyzed. It is found that under the background of big data, the improper use of financial consumer’s personal information is very harmful. It is necessary to define the scope of personal information of financial consumers, specify the obligation of initial and continuous disclosure of financial institutions, set up comprehensive regulatory bodies, improve the preventive regulatory system for format contracts and big data processing, and enhance the effectiveness of accountability mechanisms.

Suggested Citation

  • Shuai Li & Hao Yu, 2020. "RETRACTED ARTICLE: Big data and financial information analytics ecosystem: strengthening personal information under legal regulation," Information Systems and e-Business Management, Springer, vol. 18(4), pages 891-909, December.
    • Handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-019-00404-z
    DOI: 10.1007/s10257-019-00404-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-019-00404-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10257-019-00404-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ilias O. Pappas & Patrick Mikalef & Michail N. Giannakos & John Krogstie & George Lekakos, 2018. "Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, Springer, vol. 16(3), pages 479-491, August.
    2. Jiaqi Yan & Wayne Yu & J. Leon Zhao, 2015. "How signaling and search costs affect information asymmetry in P2P lending: the economics of big data," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Raed A.I. Abueed & Mehmet Aga, 2019. "Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    3. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    4. Xueru Chen & Xiaoji Hu & Shenglin Ben, 2021. "How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 21(4), pages 1055-1082, December.
    5. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    6. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    7. Zhao Wang & Cuiqing Jiang & Huimin Zhao, 2022. "Know Where to Invest: Platform Risk Evaluation in Online Lending," Information Systems Research, INFORMS, vol. 33(3), pages 765-783, September.
    8. Ying Yang, 2020. "RETRACTED ARTICLE: Research on the optimization of the supplier intelligent management system for cross-border e-commerce platforms based on machine learning," Information Systems and e-Business Management, Springer, vol. 18(4), pages 851-870, December.
    9. Di Vaio, Assunta & Palladino, Rosa & Pezzi, Alberto & Kalisz, David E., 2021. "The role of digital innovation in knowledge management systems: A systematic literature review," Journal of Business Research, Elsevier, vol. 123(C), pages 220-231.
    10. Dömötör, Barbara & Ölvedi, Tímea, 2021. "A személyközi hitelezés létjogosultsága a pénzügyi közvetítésben [The relevance of peer-to-peer lending in financial intermediation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 773-793.
    11. Benjamin Käfer, 2016. "Peer-to-Peer Lending – A (Financial Stability) Risk Perspective," MAGKS Papers on Economics 201622, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    12. Ahmet F. Aysan & Zhamal Nanaeva, 2022. "Fintech as a Financial Disruptor: A Bibliometric Analysis," FinTech, MDPI, vol. 1(4), pages 1-22, December.
    13. Yinqiao Li & Renée Spigt & Laurens Swinkels, 2017. "The impact of FinTech start-ups on incumbent retail banks’ share prices," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-16, December.
    14. Chotia, Varun & Cheng, Yue & Agarwal, Reeti & Vishnoi, Sushant Kumar, 2024. "AI-enabled Green Business Strategy: Path to carbon neutrality via environmental performance and green process innovation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    15. Battisti, Sandro & Agarwal, Nivedita & Brem, Alexander, 2022. "Creating new tech entrepreneurs with digital platforms: Meta-organizations for shared value in data-driven retail ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    16. Fan, Min & Lu, Zhixi & Zhou, Yun & Wang, Jian, 2024. "Threshold and spillovers effects of fintech on China's energy dependence on fossil fuel," Resources Policy, Elsevier, vol. 91(C).
    17. Tijan, Edvard & Jović, Marija & Aksentijević, Saša & Pucihar, Andreja, 2021. "Digital transformation in the maritime transport sector," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    18. David Soto Setzke & Tobias Riasanow & Markus Böhm & Helmut Krcmar, 2023. "Pathways to Digital Service Innovation: The Role of Digital Transformation Strategies in Established Organizations," Information Systems Frontiers, Springer, vol. 25(3), pages 1017-1037, June.
    19. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
    20. Paolo Petralia, 2023. "Position paper Digitalizzazione e innovazione," MECOSAN, FrancoAngeli Editore, vol. 2023(127), pages 103-110.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-019-00404-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.