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March 10, 2026Electronic Commerce Research0 citationsOpen Access

Revisiting the shifting landscape of P2P lending: a systematic review based on the affordance actualization perspective

CHChen-Hao HuangVNVan-Tan Nguyen

Key Points

  • This research aims to explore the evolution and challenges of P2P lending through the affordance actualization perspective.
  • Conducted a systematic review of P2P lending literature
  • Applied Main Path Analysis (MPA) to trace intellectual developments
  • Examined factors influencing trust, risk, and governance in P2P platforms
  • Identified key shifts in P2P lending from borrower-lender dynamics to algorithmic credit scoring
  • Highlighted the importance of technological affordances in reducing information asymmetry
  • Noted regulatory inconsistencies and emerging risks affecting sustainability

Abstract

Peer-to-peer (P2P) lending has disrupted traditional financial intermediation, offering an alternative credit system that enhances financial inclusion and investment accessibility. Despite its rapid growth, challenges related to trust formation, risk mitigation, and platform governance persist, raising concerns about its long-term sustainability. This study conducts a systematic review of P2P lending through the affordance actualization perspective, examining how digital platforms facilitate trust-building via transparency mechanisms, algorithmic risk assessments, and regulatory governance. Employing Main Path Analysis (MPA), we trace the intellectual evolution of P2P lending research, identifying key shifts from borrower-lender dynamics to machine learning-driven credit scoring and platform regulation. Our findings highlight the role of technological affordances in reducing information asymmetry and strengthening lending ecosystems. However, regulatory inconsistencies and emerging risks necessitate further research. This study provides a comprehensive synthesis of P2P lending’s development, offering insights into trust actualization and future directions for sustainable digital lending models.

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Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69af94c970916d39fea4bb61https://doi.org/10.1007/s10660-026-10110-x
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