2018
DOI: 10.21512/comtech.v9i1.4287
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A Model for Lender-Borrower Trust in Peer-To-Peer Lending

Abstract: This research examined factors that influenced lender’s trust towards the borrower. The peerto-peer lending platform facilitated lending mechanism between lender and borrower. However, the loan was often considered as an unsecured loan, since there was a lack of traditional financial data. Using literature review, this research analyzed the determinant factor to establish trust between borrower and lender. Based on Elaboration Likelihood Model (ELM), the result of this research proposes a model for trust build… Show more

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Cited by 8 publications
(6 citation statements)
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“…For borrowers, disclosing more effective information can attract investors to a certain degree and increase the loan success rate (Chen, Huang & Shaban, 2020). Information disclosed by borrowers can be divided into hard information and soft information (Iyer, Khwaja, Luttmer & Shue, 2016), which contribute to the establishment of trust relationship between lenders and borrowers (Sukmaningsih, 2018). Hard information refers to information that can be expressed by accurate hard indexes, for example, assets, income, and credit rating.…”
Section: Introductionmentioning
confidence: 99%
“…For borrowers, disclosing more effective information can attract investors to a certain degree and increase the loan success rate (Chen, Huang & Shaban, 2020). Information disclosed by borrowers can be divided into hard information and soft information (Iyer, Khwaja, Luttmer & Shue, 2016), which contribute to the establishment of trust relationship between lenders and borrowers (Sukmaningsih, 2018). Hard information refers to information that can be expressed by accurate hard indexes, for example, assets, income, and credit rating.…”
Section: Introductionmentioning
confidence: 99%
“…Another reason trust may not have a direct effect is that the trust-building process in P2P lending can be influenced by various factors, including the platform's design and the information provided to users. A study on a model for lender-borrower trust in P2P lending proposed that trust can be built through the use of hard information, soft information, and social capital, which are all factors that can be influenced by the platform's design and user interactions (Sukmaningsih, 2018). Additionally, the impact of trust on P2P lending can be influenced by the specific context in which the technology is used.…”
Section: Figure1 Hypothesis Testing Resultsmentioning
confidence: 99%
“…In an attempt to build trust and reputation among the users of the P2P lending platform is required to establish strong and reliable social networks to mitigate the trust issue and perceived institutional risks (Chen, Lai & Lin, 2014). Sukmaningsih (2018) suggested trust can be established among borrowers by offering full access to borrowers' information online, for example, photo, age, gender, national ID through social networks. Mohammadi and Broström (2018) disclosed that distrust is greatly correlated with larger amounts of loans, longer payment cycles, and greater geographical distance between lenders and borrowers.…”
Section: Perceived Risks and Trustmentioning
confidence: 99%