Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 15, 2024


Pages


DOI

Article

Construction of Insurance Consumers' Purchasing Behavior Model Based on Big Data Analysis

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Authors

Huanhuan Ding Affiliation:
Business School, Guangdong Polytechnic, 528041, Foshan, Guangdong, China.
and Xiangbin Zuo Affiliation:
Faculty of Law, The National University of Malaysia, 43600, Bangi, Selangor, Malaysia.


Abstract

The social capital theory is selected as the theoretical basis, and the decision-making of household commercial insurance purchase is taken as the research object. By using the frontier theory of big data, an improved K-means clustering algorithm is proposed to segment customers first, then the results of the segmentation are predicted and analyzed. Finally, an insurance consumer purchase behavior model is proposed, and an empirical test is carried out according to the proposed model. Social capital and its three dimensions can promote the possibility in family commercial insurance, thus ultimately promoting residents' families to make purchase decisions on commercial insurance.


Keywords

Big data, Insurance, Purchasing behavior, 94A16


Citation

Ding, H. & Zuo, X. (2024). Construction of insurance consumers' purchasing behavior model based on big data analysis. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0006

Published by: Engineering Journals

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