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Investment Intention Towards Online Peer-to-Peer Platform: A Data Mining Approach Based on Perceived Value Theory

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Parallel and Distributed Computing, Applications and Technologies (PDCAT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 931))

Abstract

The financial industry has experienced a wide range of changes and innovations that bring from technology and Internet. The online Peer-to-Peer (P2P) lending platform is a relatively new phenomenon that thoroughly change the finance and e-commerce industries. In fact, in China the number of P2P online lending platforms has grown rapidly and will probably continue to increase over the next decade. However, researches in this field is still in its infant stage. Deeply understanding this business pattern has significant implications both theoretically and practically. We studied the investors’ investment intention towards P2P platform based on perceived value theory. Unlike most empirical researches that employ questionnaire to collect data, this paper crawled data from WDZJ (www.wdzj.com) which is a third-party online loan information platform. We collected 517 platforms data to investigate the relationship between platform characteristics and investment intention. Results derived from data suggest that simply offering higher return rate is less attractive for investors. Those platforms which possess high registered capital and have successful financing history along with low risk are more favored by investors.

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Authors and Affiliations

  1. Shanghai University, Shanghai, China

    Xizi Wang & Li Wang

Authors
  1. Xizi Wang
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  2. Li Wang
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Correspondence to Xizi Wang .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    Jong Hyuk Park

  2. School of Computer Science, University of Adelaide, Adelaide, SA, Australia

    Hong Shen

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Yunsick Sung

  4. School of ICT, Griffith University, Gold Coast, Australia

    Hui Tian

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Wang, X., Wang, L. (2019). Investment Intention Towards Online Peer-to-Peer Platform: A Data Mining Approach Based on Perceived Value Theory. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_10

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  • DOI: https://doi.org/10.1007/978-981-13-5907-1_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5906-4

  • Online ISBN: 978-981-13-5907-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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