Study on the determinants of decision-making in peer-to-peer lending in South Korea

Dongwoo Kim, Kyuho Maeng, Youngsang Cho

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


In order to investigate the influences of borrower information on the decision-making, we collected data for 35,485 individual loan requests from Moneyauction, the largest P2P lending platform in South Korea, and analyzed the determinants of borrower and lender decision-making, adopting a logistic regression model. Specifically, we included various linguistic variables, generated by Korean Linguistic Inquiry and Word Count software, in order to analyze the effect of language use. Our research findings show that while a borrower’s demographic traits and linguistic style do have influential effects on participants’ decision-making, their relative importance is much lower than that of financial and loan request profiles.

Original languageEnglish
Pages (from-to)558-576
Number of pages19
JournalAsia-Pacific Journal of Accounting and Economics
Issue number5
Publication statusPublished - 2020 Sept 2

Bibliographical note

Publisher Copyright:
© 2018 City University of Hong Kong and National Taiwan University.

All Science Journal Classification (ASJC) codes

  • Accounting
  • Finance
  • Economics and Econometrics


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