期刊文献+

考虑新产品观测与体验特征的播种营销策略研究 被引量:3

Research on seeding marketing strategy considering the observation and experience characteristics of new product
原文传递
导出
摘要 本文研究垄断厂商线上线下分期销售背景下,向消费者发放试用品以消除新产品不确定性,进而通过试用者评价影响其他消费者的播种策略,建立了考虑产品观测特征与体验特征的播种模型,分析了商家在不同定价策略和市场环境下的最优播种量和收益,并进一步对商家决策播种影响力模型展开研究.结果表明:1)商家是否播种与线下目标消费者定位、消费者分布、产品的体验品特性程度有关;2)线下渠道服务全部潜在消费者时播种的益处更明显,且高估值消费者比例越大或产品越倾向于体验品,播种范围应该越大;3)当商家在线下渠道只服务高估值消费者为更优策略时不应播种;4)当商家决策播种影响力且线下服务全部消费者时,商品越倾向体验品,越有动机提高影响力并减少播种量来增加受播种影响的消费者. Under the background of online and offline phased sales,this paper studies the seeding strategy of a monopoly seller who eliminates consumers'uncertainty about new product and influences other consumers through ratings by distributing free trial.This paper establishes a seeding model considering the product's observation and experience characteristics,analyzes the optimal seeding amount and income of seller under different pricing strategies and market environments,and further studies the model of seller controlling seeding influence.The results show that:1)whether the seller seeds or not is related to the positioning of offline target consumers,the distribution of consumers,and the proportion of experience characteristics;2)the benefit of seeding is more obvious when serving all potential consumers offline,and the larger the proportion of consumers with high value or the more products tend to experience products,the larger the seeding scope should be;3)the seller shouldn't seed when serving only high valued consumers offline better;4)when seller decide the seeding influence and serve all consumers offline,the more product tends to experience good,the more motivated the seller is to improve influence and reduce seeding to increase the consumers affected by seeding.
作者 毛照昉 张悦晴 MAO Zhaofang;ZHANG Yueqing(College of Economics and Management,Tianjin University,Tianjin 300072,China)
出处 《系统工程理论与实践》 EI CSSCI CSCD 北大核心 2022年第10期2740-2756,共17页 Systems Engineering-Theory & Practice
基金 国家自然科学基金(71872125,92167206) 科技部创新方法工作专项(2020IM030300)。
关键词 体验品 播种策略 在线评论 社交影响 experience goods seeding strategy online rating social influence
  • 相关文献

参考文献12

二级参考文献82

  • 1XUJiuping HUMinan.ANALYSIS OF THE MECHANISM MODELS OF TECHNOLOGICAL INNOVATION DIFFUSION[J].Journal of Systems Science & Complexity,2004,17(3):369-376. 被引量:4
  • 2盛亚.新产品扩散中免费商品问题的研究[J].科技进步与对策,1997,14(5):40-41. 被引量:9
  • 3胡知能.创新产品扩散的免费商品问题分析[J].系统工程理论与实践,2005,25(3):96-100. 被引量:8
  • 4Vijay Mahajan,Robert A Peterson. Models for innovation diffusion[R]. Sage University Paper Series on Quantiative Applications in the Social Sciences. Beverly Hills and London: Sage Pubns,1985.
  • 5Mahajan V,E Muller,F M Bass. New product diffusion models in marketing: A review and directions for research[J]. Journal of Marketing,1990,54(1): 1-26.
  • 6James T, C Teng, Varun Grover,Wolfgang Güttler. Information technology innovations: General diffusion patterns and its relationships to innovation characteristics[J]. IEEE Transactions on Engineering Management, 2002,49(1): 13-27.
  • 7YU Yumei. An innovation diffusion model for three competitive products[J]. Computers and Mathematics with Applications,2003,46: 1473-1481.
  • 8Chang Pingteng,Chang Ching hsiang. A stage characteristic-preserving product life cycle modeling[J]. Mathematical and Computer Modelling,2003,37: 1259-1269.
  • 9Bass F M. A new product growth model for consumer durables[J]. Management Sciencec,1969,15: 215-227.
  • 10Dipak Jain,Vijay Mahajan,Eitan Muller. An approach for determining optimal product sampling for the diffusion of a new product[J]. Journal of Production Innovation Management,1995,12: 124-135.

共引文献102

同被引文献22

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部