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Article Dans Une Revue Journal of Decision Systems Année : 2023

Herding behaviour in peer-to-peer lending: the elaboration likelihood during the COVID-19 crisis

Résumé

North American consumers can usually act as borrowers or lenders using peer-to-peer (P2P) lending platforms to assess creditworthiness and mitigate information asymmetries on their own. However, as in many sectors, the COVID-19 crisis has also affected the finance industry. Overall, consumer decision-making on P2P lending platforms has changed dramatically resulting in a decrease in the number of transactions. P2P lending platforms can exploit people’s behavioural biases associated with hype whereas mediated information about COVID-19 crisis is beyond the control of these platforms. This research work aims at providing greater knowledge on how consumers build their decision-making under fuzzy information environment. A two-way ANOVA enables to strengthen this approach with data collected from a P2P lending platform between January 2019 and December 2020. This paper demonstrates that the elaboration likelihood model is a strong framework to explain consumer herding behaviour on online lending platforms.
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Dates et versions

hal-04512869 , version 1 (20-03-2024)

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Wafa Bouaynaya, Jacques-Marie Vaslin. Herding behaviour in peer-to-peer lending: the elaboration likelihood during the COVID-19 crisis. Journal of Decision Systems, 2023, pp.1-12. ⟨10.1080/12460125.2023.2215083⟩. ⟨hal-04512869⟩

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