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Harnessing Internet finance with innovative cyber credit management

Author

Listed:
  • Zhangxi Lin

    (Texas Tech University
    Southwestern University of Finance and Economics)

  • Andrew B. Whinston

    (The University of Texas at Austin, Austin)

  • Shaokun Fan

    (West Texas A & M University)

Abstract

In the last two decades, Internet technologies, such as cloud computing, mobile communications, social media, and big data analytics, have brought tremendous changes to our society and reshaped the business in various industries. Specifically, the mushrooming innovations in the financial area fertilized by information and communication technologies indicates the advent of the Internet finance era. Applying the exploratory research approach, we investigate major innovative Internet-based financial services and classify them into five categories, as of e-commerce, e-payment, e-money market, online loan services, and digital currencies. Then we propose a market structure of Internet finance extended from the traditional financial market. We claim that credit management is the key issue in the marketplace of Internet finance, characterized by big data analytics, in which cyber credit appears as whole-process, multi-dimensional, and holographic. We further suggest that cyber credit be represented in the form of vector to overcome the limits of traditional single-value measure in cyber credit management. Based on this framework, we raise main research issues in Internet finance from the perspectives of theory, technology, and governance.

Suggested Citation

  • Zhangxi Lin & Andrew B. Whinston & Shaokun Fan, 2015. "Harnessing Internet finance with innovative cyber credit management," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-24, December.
  • Handle: RePEc:spr:fininn:v:1:y:2015:i:1:d:10.1186_s40854-015-0004-7
    DOI: 10.1186/s40854-015-0004-7
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    2. Shaofeng Zhang & Wei Xiong & Wancheng Ni & Xin Li, 2015. "Value of big data to finance: observations on an internet credit Service Company in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-18, December.
    3. João Carneiro & Diogo Martinho & Goreti Marreiros & Paulo Novais, 2019. "Arguing with Behavior Influence: A Model for Web-Based Group Decision Support Systems," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 517-553, March.
    4. Rulong Zhuang & Kena Mi & Menglu Zhi & Chaoyang Zhang, 2022. "Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences," IJERPH, MDPI, vol. 19(24), pages 1-21, December.
    5. Paulo Cesar Schotten & Leydiana Sousa Pereira & Danielle Costa Morais, 2022. "Credit granting sorting model for financial organizations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    6. Gai, Zhiqiang & Guo, Yunxia & Hao, Yu, 2022. "Can internet development help break the resource curse? Evidence from China," Resources Policy, Elsevier, vol. 75(C).
    7. Paulo Cesar Schotten & Danielle Costa Morais, 2019. "A group decision model for credit granting in the financial market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-19, December.
    8. 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.
    9. Wang, Ronghui & Nan, Guofang & Kou, Gang & Li, Minqiang, 2023. "Separation or integration: The game between retailers with online and offline channels," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1348-1359.
    10. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    11. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
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