 Deposit AI as the “invisible hand†to make the resale easier: A moderated mediation modelLeiqing Peng, Mengting Luo and Yulang Guo Journal of Retailing and Consumer Services, 2023, vol. 75, issue C Abstract: While existing works pay little attention to price setters and the application of artificial intelligence (AI) agents in second-hand trading, the current research examines whether, and how, price setter (AI VS. seller)affects buyers' willingness to pay (WTP)in the case of second-hand trading on P2P platform. 25 interviews and 3 online studies have been conducted to demonstrate the results: (i) compared with goods priced by sellers, buyers are more willing to pay for goods priced by platform AI (Studies 1&2), (ii) buyers' perceived objectivity mediates the relationship between price setter and buyers' WTP (Study 2), (iii) perceived reductionistic of AI eliminates the effect of price setter on WTP (Study 3), and (iv) augmented intelligence (vs. AI)can have equal effect on buyers’ WTP (Study 4). These findings offer considerable implications for practitioners on how to build an AI pricing agent that is superior to humans on P2P second-hand trading platforms while ensuring the well-being of platform traders. Keywords: Second-hand goods; AI pricing agent; Perceived objectivity (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:75:y:2023:i:c:s0969698923002278 DOI: 10.1016/j.jretconser.2023.103480 Access Statistics for this article Journal of Retailing and Consumer Services is currently edited by Harry Timmermans More articles in Journal of Retailing and Consumer Services from Elsevier |
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