管理评论 ›› 2023, Vol. 35 ›› Issue (3): 183-195.

• 市场营销 • 上一篇    下一篇

考虑消费者信息处理过程的团购市场系统动力学仿真

祁玉青, 赵田东杰, 赵兴雷   

  1. 南京工业大学经济与管理学院, 南京 211816
  • 收稿日期:2020-11-04 出版日期:2023-03-28 发布日期:2023-04-28
  • 通讯作者: 祁玉青(通讯作者),南京工业大学经济与管理学院副教授,博士。
  • 作者简介:赵田东杰,南京工业大学经济与管理学院硕士研究生;赵兴雷,南京工业大学经济与管理学院硕士研究生。
  • 基金资助:
    国家自然科学基金面上项目(71873027);教育部人文社会科学研究项目(18YJA790063);中央高校基本科研业务费项目(N2006004)。

The Group Purchase Market System Dynamics Simulation Considering the Process of Consumer Information Processing

Qi Yuqing, Zhao Tiandongjie, Zhao Xinglei   

  1. School of Economics and Management, Nanjing Tech University, Nanjing 211816
  • Received:2020-11-04 Online:2023-03-28 Published:2023-04-28

摘要: (南京工业大学经济与管理学院,南京 211816) 消费者的购买决策除受价格、品牌等因素影响外,还受其所接收信息的影响,网络信息技术的发展更进一步加深了这一过程。实践中,消费者对所接收信息的处理过程如何影响其购买决策,仍有待进一步研究。本文从消费者信息处理过程视角出发,以团购消费者群体为研究对象,构建团购市场的系统动力学模型,分析及预测团购及非团购消费者规模、人均团购及非团购消费额等指标在30年(2006—2035年)间的发展。研究发现:(1)社群营销效果正向影响团购消费者的增长速率,并且缩短了团购规模达到峰值的时间,广告效果能缩短团购规模达到峰值的时间;(2)降低商品价格、提升商家信誉、增加商品种类和提高服务水平能够增大非团购消费者对商品信息的接收度,从而促进消费额的增长;(3)团购成功率正向影响团购平台规模和人均团购消费额。研究结果丰富了消费者信息处理过程的研究范畴,为网络平台和企业充分认识团购发展和调整营销策略提供了新的思路。

关键词: 网络团购, 信息处理过程, 系统动力学

Abstract: Consumers’ purchasing decisions are influenced not only by price, brand and other factors, but also by the information they receive. The development of network information technology further deepens this process. In practice, how consumers’ processing of the information they receive affects their purchasing decisions remains to be further studied. From the perspective of consumer information processing, this paper takes group-buying consumer groups as the research object, constructs a system dynamics model of group-buying market, analyzes and forecasts the development of indicators such as the size of group-buying and non-group-buying consumers, group-buying per capita and non-group-buying consumption amount in 30 years (2006-2035). The results show that: (1) the effect of community marketing has a positive impact on the growth rate of group-buying consumers, and shortens the time for group-buying scale to reach the peak, and advertising effect can shorten the time for group-buying scale to reach the peak; (2) lowering commodity prices, improving merchants’ reputation, increasing commodity categories and improving service level can increase non-group-buying consumers’ reception of commodity information, thus promoting the growth of consumption; and (3) the success rate of group-buying has a positive impact on the scale of group-buying platform and the amount of group-buying consumption per capita. The research results enrich the research scope of consumer information processing, and provide new ideas for network platforms and enterprises to fully understand the development of group buying and adjust their marketing strategies.

Key words: online group purchase, information processing process, system dynamics