点击次数：

论文类型：期刊论文

发表时间：2017-09-01

发表刊物：ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS

收录刊物：Scopus、SCIE、EI、SSCI

卷号：25

页面范围：16-28

ISSN号：1567-4223

关键字：Return-freight insurance; Online product review; Product fit uncertainty; Return policy

摘要：To resolve online shopping disputes with product return, some insurance companies have developed a new type of insurance called return-freight insurance to compensate consumers' loss of return-freight fees. Traditional insurance-premium determination (such as support vector machines) has not fully merged all e-commerce factors, such as the product-fit uncertainty of online shopping, that could affect both insurance demand and return quantity. Based on these traits, we develop a profit-maximization model in terms of certain market-reaction parameters, especially product-fit uncertainty, and calculate the optimal pricing strategy, including both the insurance premium and the compensation. Using prospect theory, we explain why online product review could influence insurance applicants' risk-averse behavior in the e-commerce situation. Then we solve for the reasonable premium and compensation given online product reviews from the insurance company's perspective and obtain a number of managerial guidelines for using marketing and operational-strategy variables to influence those reaction parameters so as to obtain the maximum benefit from the market. Interestingly, when consumers' sensitivity to product-fit uncertainty is moderate, an increase in product-fit uncertainty moves insurance premium and compensation in the opposite direction. (c) 2017 Elsevier B.V. All rights reserved.