An Insurtech for the Online Insurance: A Customer Repurchasing Behavior Study in Taiwan

Autor:	Hsin-Neng Hsieh, Ching-Chih Wu, Yun-Chiang Tai
Rok vydání:	2021
Předmět:	Knowledge management Work (electrical) Computer science Statistical learning business.industry Decision tree Decision rule Cluster analysis business Purchasing Visualization
Zdroj:	Modern Economy. 12:1213-1231
ISSN:	2152-7261 2152-7245
DOI:	10.4236/me.2021.128063
Popis:	This study explores online insurance ventures by customers’ behavioral profiles from data mining and visualization. First, we employ a simple decision-tree statistical learning method on unique hand-collected and processed data in Taiwan. This method considers first-time online insurance subscribers as new ones without a proper marketing connection after six months. Second, using advanced clustering technique and decision tree statistical learning on first-time purchasing customers, we find they repurchase online travel insurance for different purposes varying periods. Finally, we get robust results engaging different segmentations of customer data. In these ways, we enable marketing strategies to work with generating decision rules.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7a5d5732fc20be460f92fe13ec79ca90 https://doi.org/10.4236/me.2021.128063 Zobrazit plný text záznamu