Leveraging Location Intelligence for Enhanced Damage Insurance Underwriting in the Context of Climate Change

Simple item page
dc.contributor.author Chamberland-Tremblay, Daniel
dc.contributor.author Caron, Claude
dc.contributor.author Morin, Jean-François
dc.date.accessioned 2023-12-26T18:47:33Z
dc.date.available 2023-12-26T18:47:33Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 849d1ab8-97c9-4732-91a8-739db4837770
dc.identifier.uri https://hdl.handle.net/10125/107068
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Location Intelligence Research in System Sciences
dc.subject climate change
dc.subject damage insurance underwriting
dc.subject design science research
dc.subject location intelligence
dc.title Leveraging Location Intelligence for Enhanced Damage Insurance Underwriting in the Context of Climate Change
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract This study presents the contribution of location intelligence to property damage risk evaluation in the insurance industry through a decision support system prototype. We followed a standard design science research methodology for the design and development of the prototype and its evaluation by 11 industry experts. The results indicate that underwriters, the intended primary users of the prototype, had a positive perception of the prototype, while actuaries and managers expressed concerns about data and process integration to existing practices. Overall, the prototype highlights the potential of geospatial data, emphasizes the need for standardized risk evaluation processes for underwriters, and underscores the competitive advantage gained through access to quality data. These findings contribute to the understanding of how location intelligence can enhance risk assessment in the insurance industry.
dcterms.extent 10 pages
prism.startingpage 5671
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0556.pdf
Size:
674.84 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Location Intelligence Research in System Sciences