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RETRACTED ARTICLE: Big data and financial information analytics ecosystem: strengthening personal information under legal regulation

Author

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  • 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 "RETRACTED ARTICLE: Big data and financial information analytics ecosystem: strengthening personal information under legal regulation," Information Systems and e-Business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
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    References listed on IDEAS

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    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.
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