营销科学学报 ›› 2013, Vol. 9 ›› Issue (2): 1-12.

• 论文 •    下一篇

产品退市决策研究:基于Cox生存模型的实证分析

周静,李季,江明华   

  1. 周静,北京大学光华管理学院市场营销系博士研究生,Emailjing.zhou@pku.edu.cn。
    李季,中央财经大学商学院市场营销系副教授,通讯作者,Email:lijigsmpku@hotmail.com。
    江明华,北京大学光华管理学院市场营销系教授,Email:jmh@gsm.pku.edu.cn。
  • 出版日期:2013-06-01 发布日期:2013-08-09
  • 基金资助:

    本研究得到教育部人文社会科学基金项目“构建产品退市决策的客观标准——基于Cox模型的实证研究”(09YJC630241)、国家自然科学基金项目“体育赞助对品牌资产的提升及其作用机制研究”(71172030)、国家自然科学基金“谁来推荐更有效?顾客的社会网络对口碑推荐效果的影响机制研究”(71102127)三个基金的资助。非常感谢两名匿名评审专家提出的宝贵意见。

Research on Decision Making of Product Elimination: An Empirical Study Based on Cox Survival Model

Zhou Jing, Li Ji, Jiang Minghua   

  1. Zhou Jing, Department of Marketing, Guanghua School of Management, Peking University.
    Li Ji, Department of Marketing, Business School, Central University of Finance and Economics.
    Jiang Minghua, Department of Marketing, Guanghua School of Management, Peking University.
  • Online:2013-06-01 Published:2013-08-09

摘要:

本文通过对影响产品退市的因素进行研究,运用生存分析模型确定了对产品退市有显著影响的两大因素及其影响机制,他们分别是:上市前期的销量变化率和退市前期的平均销量。具体而言:上市前期的销量增长率越高,退市的危险性越小,生存时间越长;退市前期的平均销量越高,退市的危险性越小,生存时间越长。同时本研究还验证了市场份额对两大影响因素的调节作用。另外本研究还发现了与人们通常的直觉不同的一个结果,市场份额低的产品比市场份额高的产品有更长的生存时间,对此我们运用“替代效应”进行解释。本文的研究结果为企业进行产品退市决策提供了理论指导。

关键词: 产品退市, 生存分析, Cox模型

Abstract:

Through our research based on survival model, we identify two major factors that significantly influence our decision making on product elimination, as well as their impact mechanisms. These two factors are, namely, the changing rate of sales in the early stage and the average sales in pre-elimination stage. Specifically speaking, the higher these figures are, the less likely it is for products to be eliminated, which also means the longer these product may survive. The results of our research also demonstrate that brands with different market shares serving as a moderator in this model are impacted by different factors. Different from our stereotyped understanding, results of our research show that products with lower market share actually survive longer (than those with larger market share), which can be explained by substitution effect. Overall, findings of our research have laid a theoretical foundation for companies' decision making on product elimination.

Key words: product elimination, survival analysis, Cox model