The Study of Big Data Influenced Purchase of Medical Insurance From Consumers

碩士 === 銘傳大學 === 風險管理與保險學系碩士班 === 105 === The development of technology has changed the structure of many industries. The Insurance industry is no exception; it is at the state of technology transformation. The big data has its advantages in its part in the Insurance industry. One, Insurance runs...

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Bibliographic Details
Main Authors: CHAO, FANG-TSEN, 趙芳岑
Other Authors: CHIU, JHIH-LING
Format: Others
Language:en_US
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/14050634435859636707
Description
Summary:碩士 === 銘傳大學 === 風險管理與保險學系碩士班 === 105 === The development of technology has changed the structure of many industries. The Insurance industry is no exception; it is at the state of technology transformation. The big data has its advantages in its part in the Insurance industry. One, Insurance runs based on big data. Second, insurance company has its own numeric database. And finally, the Bureau of National Health Insurance established an Information Integration Application Service Center, qualified institutions will be able to send applications and when accepted they can analyze disease data according to regulations. Therefore, insurance companies can improve their ways of operations through big data analyzation. This contains the different strategies used to respond to the changes in the environment, such as marketing methods, product services, product pricing, and administrative management. This study is based on two aspects, literature review and survey. Discussing the impact that big data analyzation brings to Medical Insurance and also the changes that would bring to the consumers if operating medical insurance using big data. Then designing a survey through the points discussed above, asking consumers whether they know about the impact. The results were; 1. There are obvious differences of the two concepts in population statistic variables 2. There are obvious differences of the two concepts in Insurance purchasing variables. 3. There are obvious differences of the two concepts in the level of understanding big data.