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Evaluating if trust and personal information privacy concerns are barriers to using health insurance that explicitly utilizes AI

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journal contribution
posted on 2020-10-22, 12:41 authored by Alex Zarifis, Peter KawalekPeter Kawalek, Aida Azadegan
Trust and privacy have emerged as significant concerns in online transactions. Sharing information on health is especially sensitive but it is necessary for purchasing and utilizing health insurance. Evidence shows that consumers are increasingly comfortable with technology in place of humans, but the expanding use of AI potentially changes this. This research explores whether trust and privacy concern are barriers to the adoption of AI in health insurance. Two scenarios are compared: The first scenario has limited AI that is not in the interface and its presence is not explicitly revealed to the consumer. In the second scenario there is an AI interface and AI evaluation, and this is explicitly revealed to the consumer. The two scenarios were modeled and compared using SEM PLS-MGA. The findings show that trust is significantly lower in the second scenario where AI is visible. Privacy concerns are higher with AI but the difference is not statistically significant within the model.

History

School

  • Business and Economics

Department

  • Economics

Published in

Journal of Internet Commerce

Volume

20

Issue

1

Pages

66 - 83

Publisher

Taylor & Francis (Routledge)

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Taylor and Francis under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2020-09-30

Publication date

2020-10-19

Copyright date

2020

ISSN

1533-2861

eISSN

1533-287X

Language

  • en

Depositor

Dr Alex Zarifis Deposit date: 20 October 2020

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