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Big Data-Based Peer-to-Peer Lending Fintech: Surveillance System through Utilization of Google Play Review

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  • Nika Pranata
  • Alan Ray Farandy

Abstract

Peer-to-peer lending (P2PL) FinTech is growing rapidly in Indonesia. With its flexibility and simplicity, P2PL reduces the gap in financing that cannot be fulfilled by banks. However, the rapid development of P2PL also raises a number of problems that burden users such as unethical debt collection methods, and the imposition of excessive interest rate and other costs that potentially threaten national financial system stability. Therefore, by utilizing big data, which in this case is 40,650 reviews from 110 P2PLs obtained from Google Play within the period of March 2016–August 2018, this research builds a big data-based P2PL surveillance system based on four aspects, namely legality, review rating, debt collection methods, and level of interest rates and other costs.

Suggested Citation

  • Nika Pranata & Alan Ray Farandy, 2019. "Big Data-Based Peer-to-Peer Lending Fintech: Surveillance System through Utilization of Google Play Review," Working Papers id:13037, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:13037
    Note: Institutional Papers
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    References listed on IDEAS

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    1. Gregor Dorfleitner & Lars Hornuf & Matthias Schmitt & Martina Weber, 2017. "FinTech in Germany," Springer Books, Springer, number 978-3-319-54666-7, January.
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    Cited by:

    1. Angela Tritto & Yujia He & Victoria Amanda Junaedi, 2020. "Governing the gold rush into emerging markets: a case study of Indonesia’s regulatory responses to the expansion of Chinese-backed online P2P lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-24, December.

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