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Authors: Carl Christophe Louis Søilen-Knutsen and Bjørnar Tessem

Affiliation: Department of Information Science and Media Studies, University of Bergen, Norway

Keyword(s): Data Sharing, Insurance, Fraud Detection, Innovation.

Abstract: Digital development has opened up new tools to enable innovation, one of the options being data sharing among businesses. This paper addresses data sharing in the insurance industry and its innovation potential through a case study from a Norwegian data sharing project. The goal of the studied project is to achieve cross-company data sharing and with that enabling more efficient insurance fraud detection. We look at what requirements need to be fulfilled for data sharing to be implemented and what kind of challenges such a data sharing project meets. We analyse interview data from project participants and systematize their opinions and impressions regarding possibilities and challenges for data sharing. The case shows that data sharing among competitors in the insurance industry is hard to realise, very much due to the lack of trust in how the others will use data, but also due to competition laws and other regulations.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Søilen-Knutsen, C. and Tessem, B. (2022). Data Sharing for Fraud Detection in Insurance: Challenges and Possibilities. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 93-99. DOI: 10.5220/0010982300003179

@conference{iceis22,
author={Carl Christophe Louis Søilen{-}Knutsen and Bjørnar Tessem},
title={Data Sharing for Fraud Detection in Insurance: Challenges and Possibilities},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2022},
pages={93-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010982300003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Data Sharing for Fraud Detection in Insurance: Challenges and Possibilities
SN - 978-989-758-569-2
IS - 2184-4992
AU - Søilen-Knutsen, C.
AU - Tessem, B.
PY - 2022
SP - 93
EP - 99
DO - 10.5220/0010982300003179
PB - SciTePress

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