The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

AI is transforming insurance with five emerging business models

AI is transforming insurance with five emerging business models
AI is transforming insurance with five emerging business models
This research found empirical support for five emerging AI-driven business models in insurance: (1) Focus and disaggregation, (2) absorb AI into the existing model, (3) incumbent expanding beyond model, (4) dedicated insurance disruptor and, (5) tech company disruptor. The following section is the literature review followed by the methodology section that explains how the case studies were identified and explored. Then the analysis of four exemplar cases is shown, a discussion on the validity and value of the business models is identified, and finally the conclusion is presented.
Artifical Intelligence, insurance, Finance, Insurtech, Fintech, business model (BM), Digital transformation
2086-2100
IGI Global
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Wang, John
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Wang, John

Zarifis, Alex and Cheng, Xusen (2023) AI is transforming insurance with five emerging business models. In, Wang, John (ed.) Encyclopedia of Data Science and Machine Learning. IGI Global, pp. 2086-2100. (doi:10.4018/978-1-7998-9220-5.ch124).

Record type: Book Section

Abstract

This research found empirical support for five emerging AI-driven business models in insurance: (1) Focus and disaggregation, (2) absorb AI into the existing model, (3) incumbent expanding beyond model, (4) dedicated insurance disruptor and, (5) tech company disruptor. The following section is the literature review followed by the methodology section that explains how the case studies were identified and explored. Then the analysis of four exemplar cases is shown, a discussion on the validity and value of the business models is identified, and finally the conclusion is presented.

Text
AI-Is-Transforming-Insurance-With-Five-Emerging-Business-Models - Version of Record
Available under License Creative Commons Attribution.
Download (810kB)

More information

Published date: 2023
Keywords: Artifical Intelligence, insurance, Finance, Insurtech, Fintech, business model (BM), Digital transformation

Identifiers

Local EPrints ID: 490123
URI: http://eprints.soton.ac.uk/id/eprint/490123
DOI: doi:10.4018/978-1-7998-9220-5.ch124
PURE UUID: 92ecfd13-b6f4-4435-88a7-2d15640ea587
ORCID for Alex Zarifis: ORCID iD orcid.org/0000-0003-3103-4601

Catalogue record

Date deposited: 14 May 2024 17:10
Last modified: 06 Jun 2024 02:21

Export record

Altmetrics

Contributors

Author: Alex Zarifis ORCID iD
Author: Xusen Cheng
Editor: John Wang

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

Library staff additional information
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.

×