The University of Southampton
University of Southampton Institutional Repository

A model of trust in Fintech and trust in Insurtech: how Artificial Intelligence and the context influence it

A model of trust in Fintech and trust in Insurtech: how Artificial Intelligence and the context influence it
A model of trust in Fintech and trust in Insurtech: how Artificial Intelligence and the context influence it
Finance and insurance are being transformed by Artificial Intelligence (AI). Nevertheless, the consumer is not passive in this process and there is some inhibition to trust. This research models trust in Fintech and trust in Insurtech. The two models are then compared to evaluate if trust in both is similar. Multigroup Structural Equation Modelling is used to evaluate if the model is equally valid for Fintech and Insurtech. The model presented here shows that trust in both Fintech and Insurtech are formed by (1) Individuals psychological disposition to trust, (2) Sociological factors influencing trust, (3) Trust in either the financial organization or the insurer and (4) Trust in AI and related technologies. The results of the multigroup analysis show that the model is equally valid for Fintech and Insurtech. This is particularly useful as these services are often offered by the same organization, or even the same mobile application.
Fintech, Insurtech, artificial intelligence (AI), Trust, Finance, Insurance
2214-6350
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df

Zarifis, Alex and Cheng, Xusen (2022) A model of trust in Fintech and trust in Insurtech: how Artificial Intelligence and the context influence it. Journal of Behavioral and Experimental Finance, 36, [100739]. (doi:10.1016/j.jbef.2022.100739).

Record type: Article

Abstract

Finance and insurance are being transformed by Artificial Intelligence (AI). Nevertheless, the consumer is not passive in this process and there is some inhibition to trust. This research models trust in Fintech and trust in Insurtech. The two models are then compared to evaluate if trust in both is similar. Multigroup Structural Equation Modelling is used to evaluate if the model is equally valid for Fintech and Insurtech. The model presented here shows that trust in both Fintech and Insurtech are formed by (1) Individuals psychological disposition to trust, (2) Sociological factors influencing trust, (3) Trust in either the financial organization or the insurer and (4) Trust in AI and related technologies. The results of the multigroup analysis show that the model is equally valid for Fintech and Insurtech. This is particularly useful as these services are often offered by the same organization, or even the same mobile application.

Text
A model of trust in Fintech and trust in Insurtech How Artificial Intelligence and the context influence it 1-s2.0-S2214635022000661 - Version of Record
Available under License Creative Commons Attribution.
Download (644kB)

More information

Accepted/In Press date: 24 August 2022
e-pub ahead of print date: 1 September 2022
Published date: 12 September 2022
Keywords: Fintech, Insurtech, artificial intelligence (AI), Trust, Finance, Insurance

Identifiers

Local EPrints ID: 490005
URI: http://eprints.soton.ac.uk/id/eprint/490005
ISSN: 2214-6350
PURE UUID: 096ffd95-e65b-42a9-9c52-18319dc040a4
ORCID for Alex Zarifis: ORCID iD orcid.org/0000-0003-3103-4601

Catalogue record

Date deposited: 13 May 2024 16:31
Last modified: 06 Jun 2024 02:21

Export record

Altmetrics

Contributors

Author: Alex Zarifis ORCID iD
Author: Xusen Cheng

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×