学术信息 首页 - 学术信息 - 正文
珞珈营销科学学术论坛第35期
时间:2017-06-08  阅读:

  讲座主题:Sensor Data, Privacy, and Behavioral Tracking: Does Usage-Based Auto Insurance Benefit Drivers?

  主讲人:诸婷

  讲座地点:B131

  讲座时间:2017年6月15日(周四)上午9:30-11:30

  讲座摘要: Usage-Based Insurance (UBI) is a recent auto insurance innovation that enables insurance companies to collect individual-level driving data, provide feedback on driving performance, and offer individually targeted price discounts based on each consumer’s driving behavior. In this paper, using detailed information on insurance premiums, retention rates of customers, and individual driving behavior (from sensor data) for the UBI adopters, we examine and estimate the effect of the UBI policy on changing the customers’ driving behavior, which is a potential source of profit improvement for the insurance company beyond better selection among customers and higher retention rates. The key results of our analysis show that after UBI adoption, motorists improve their driving behavior, resulting in being safer drivers, providing a meaningful benefit for both the driver and the insurance company. We find that not all components of the UBI measure appear to change over time. In particular, we find that customers decrease their daily average hard brake frequency by an average of 21% after using UBI for six months, but we cannot find any significant effects on the mileage

  driven by customers after UBI adoption. We also find heterogeneous effects across different demographic groups. For example, younger drivers are more likely to adopt UBI and they also improve their UBI scores faster than older drivers after UBI adoption; and females show more improvement than males. We also find that economic incentives lead to higher adoption rates of UBI and greater improvements in driving behavior. Our results suggest that by sharing private consumer information with the insurance company, UBI is notonly beneficial to the company, but also to consumers who become better drivers.

  个人简介:诸婷,普渡大学Krannert学院市场营销学副教授,Marketing Science编委会成员。诸婷教授的研究领域主要集中在零售竞争、定价、博弈论、进入模型。在过去几年中,诸婷教授曾在顶级国际期刊Marketing Science, Journal of Marketing Research, Quantitative Marketing and Economics等期刊上发表多篇论文。并且多次获得国际营销界顶级学报、加拿大社会科学和人类研究委员会和芝加哥大学等颁发的学术荣誉及奖励。她曾受邀在国内外十几所商学院讲学,以及多个国际营销学术界会议进行论文演讲。

  

  

  

Baidu
map