Characterization of consumers’ behavior in medical insurance market with agent parameters’ Estimation process using Bayesian network

Ren Suzuki, Yoko Ishino, Shingo Takahashi*

*この研究の対応する著者

    研究成果: Conference contribution

    抄録

    In medical insurance market as well as other markets, it is not straightforward for an institution to develop effective marketing strategies because consumers’ preferences and the environment surrounding consumers are constantly changing. This paper develops an agent-based model (ABM) of consumer’s behavior in purchasing medical insurance products and analyzes the characterization of consumers’ behavior to establish effective marketing strategies for the products. In general, the information propagation model of purchasing behavior has difficulty estimating the values of parameters only from ordinary marketing surveys, especially in the case of products that require a person to conduct advanced information processing, such as an insurance policy. To tackle this problem, this paper developed a method of estimating the probability parameters of agent’s behavior using Bayesian network based on questionnaire survey data, and then evaluated the effectiveness of the method by applying it to the actual insurance market. In the analysis using ABM constructed, we mainly focus on the power of influence of the sales activity using word-of-mouth communication between consumers. As the result we obtained several key findings regarding marketing strategies that can be utilized in the real marketing of insurance products.

    本文言語English
    ホスト出版物のタイトルNew Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers
    出版社Springer-Verlag
    ページ112-128
    ページ数17
    ISBN(印刷版)9783319937939
    DOI
    出版ステータスPublished - 2018 1 1
    イベント9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017 - Tsukuba, Japan
    継続期間: 2017 11 132017 11 15

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    10838 LNAI
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    Other

    Other9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017
    国/地域Japan
    CityTsukuba
    Period17/11/1317/11/15

    ASJC Scopus subject areas

    • 理論的コンピュータサイエンス
    • コンピュータ サイエンス(全般)

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