节点文献
基于顾客消费数据的市场创新时机侦测方法研究
Consumption Data-based Innovation Timing Detection Model
【摘要】 创新时机的侦测方法,分为三个主要过程:第一,通过EEMD方法对消费数据进行平滑处理;第二,侦测单个顾客消费习惯变化;第三,构建市场创新侦测矩阵,分析市场的有利创新时机。最后,利用某运营商的顾客消费数据进行创新时机侦测,侦测结果展现了本模型的有效性和实用性。
【Abstract】 This paper develops a model of detecting the timing of innovation with consumption data. There are three steps in this model. Firstly,smoothing consumption data through EEMD; secondly,detecting changes in consumption habits; thirdly,constructing the innovation opportunity matrix and finding out the optimal timing of innovation. Finally,an example is given to illustrate the practicality and effectiveness of the proposed method.
【关键词】 创新时机;
消费行为;
市场需求变化;
侦测算法;
EEMD;
【Key words】 timing of innovation; customer behavior; change in market demand; detection model; EEMD;
【Key words】 timing of innovation; customer behavior; change in market demand; detection model; EEMD;
【基金】 国家社会科学基金项目(12BGL017)
- 【文献出处】 软科学 ,Soft Science , 编辑部邮箱 ,2015年03期
- 【分类号】F274;F224
- 【被引频次】1
- 【下载频次】154