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1.

Avoiding uncertainty by measuring the impact of perceived risk on the intention to use financial artificial intelligence services Pages 1427-1436 Right click to download the paper Download PDF

Authors: Jassim Ahmad Al-Gasawneh, Amjed Alfityani, Saleh Al-Okdeh, Bisan Almasri, Hasan Mansur, Nawras M. Nusairat, Yousef Abu Siam

DOI: 10.5267/j.uscm.2022.6.013

Keywords: Artificial Intelligence, Perceived Risk, Perceived Monetary Benefit, Influencer Endorsements

Abstract:
The moderating role of influencer endorsement and perceived monetary benefits on the relationship between perceived risk and financial artificial intelligence services was explored in this study. Data were obtained through questionnaires distributed to 200 respondents who were selected using a purposive sampling method. The respondents were customers receiving financial artificial intelligence services in Jordan. Analysis was performed using a structural equation modeling approach run by Smart-partial least squares (PLS) 3.2.9 involving data from 138 returned questionnaires. The results show a negative impact of perceived risk on financial artificial intelligence services, and a moderation effect of influencer endorsement and perceived monetary benefits on the relationship between perceived risk and financial artificial intelligence services. The findings can assist companies in their strategies of decreasing perceived risks that individuals could be encouraged to utilize business intelligence applications, for instance, financial technology services.
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Journal: USCM | Year: 2022 | Volume: 10 | Issue: 4 | Views: 2677 | Reviews: 0

 

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