APJIS Asia Pacific Journal of Information Systems

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The Journal for Information Professionals

Asia Pacific Journal of Information Systems (APJIS), a Scopus and ABDC indexed journal, is a
flagship journal of the information systems (IS) field in the Asia Pacific region.

ISSN 2288-5404 (Print) / ISSN 2288-6818 (Online)

Editor : Byounggu Choi / One-Ki (Daniel) Lee

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Current Issue

Date September 2022
Vol. No. Vol. 32 No. 3
DOI https://doi.org/10.14329/apjis.2022.32.3.496
Page 496~513
Title Application of AI-based Customer Segmentation in the Insurance Industry
Author Kyeongmin Yum, Byungjoon Yoo, Jaehwan Lee
Keyword Customer Segmentation, Artificial Intelligence, Interview, Guideline Proposal
Abstract Artificial intelligence or big data technologies can benefit finance companies such as those in the insurance sector. With artificial intelligence, companies can develop better customer segmentation methods and eventually improve the quality of customer relationship management. However, the application of AI-based customer segmentation in the insurance industry seems to have been unsuccessful. Findings from our interviews with sales agents and customer service managers indicate that current customer segmentation in the Korean insurance company relies upon individual agents’ heuristic decisions rather than a generalizable data-based method. We propose guidelines for AI-based customer segmentation for the insurance industry, based on the CRISP-DM standard data mining project framework. Our proposed guideline provides new insights for studies on AI-based technology implementation and has practical implications for companies that deploy algorithm-based customer relationship management systems.


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