An integrated model of prosocial crowdfunding decision: Three utility components and three informational cues

Electronic Commerce Research and Applications(2023)

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摘要
•We proposed a conceptual framework that delineates the dynamic relationship between crowdfunding supporters’ three utilities and informational cues.•Four hypotheses were empirically tested with massive data (n = 142,578) from Kiva.•Borrowers’ facial expressions were detected and analyzed with Artificial Intelligence.•Funding success rate increases when a borrower in the picture smiles or the target loan amount is smaller.•Three-way interactions exist among smile, target loan amount, and social-tie words.
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关键词
Crowdfunding,Prosocial behaviors,Big data,AI (artificial intelligence),Facial expression detection,Kiva
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