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  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学
  • 主  编:
  • 庄松林
  • 地  址:
  • 上海市军工路516号
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55277251
  • 电子邮件:
  • xbzrb@usst.edu.cn
  • 国际标准刊号:
  • 1007-6735
  • 国内统一刊号:
  • 31-1739/T
  • 邮发代号:
  • 4-401
  • 单  价:
  • 15.00
  • 定  价:
  • 90.00
智路平.基于信息技术的消费者购物行为对零售模式布局的影响机理研究[J].上海理工大学学报,2020,42(5):488-496.
基于信息技术的消费者购物行为对零售模式布局的影响机理研究
Influence mechanism of consumers’ shopping behaviors on the layout of retail model based on information technology
投稿时间:2020-01-18  
DOI:10.13255/j.cnki.jusst.20200118001
中文关键词:  信息技术  购物行为  传统零售  网购  新零售
英文关键词:information technology  shopping behavior  traditional retail  online shopping  new retail
基金项目:国家自然科学基金资助项目(71801150)
作者单位
智路平 上海理工大学 管理学院上海 200093 
摘要点击次数: 16
全文下载次数: 19
中文摘要:
      由于信息技术的发展,零售模式在实体购物之外产生了网购,其后随着线上线下同步技术和需求的发展,新零售应运而生。关于未来各类零售模式的存续性存在诸多争议,为了能够较为清晰地对该问题进行判断,从消费者视角入手,通过调查,分析影响3种零售业态的消费者购物行为要素,建立要素结构方程模型,形成要素指标体系,并从泛函分析角度构建三维欧氏空间模型进行消费者购物行为偏好判断及零售模式选择。要素模型能够反映消费者购物行为的主要特征,空间模型能够较为准确地对消费者购物行为偏好进行判别,有效处理了多变量条件下的对象识别问题。研究结果能够为区域零售业态发展布局提供目标消费者群体购物行为偏好判别的依据。
英文摘要:
      Due to the development of information technology, the retail model has produced online shopping in addition to physical shopping. Later, with the development of online and offline synchronization technology and demand, new retail has emerged. There are many controversies about the continuity of various retail models in the future. In order to make a clearer judgment on this issue, starting from the consumers’ perspective, through investigations, consumers’ shopping behaviors elements that affect the three retail formats were analyzed. The factor structure equations model were established to form an element index system, and construct a three-dimensional Euclidean space model from the perspective of functional analysis to judge the preferences of consumers’ shopping behavior and to select the retail mode. The element model can reflect the main characteristics of consumers’ shopping behaviors, and the spatial model can more accurately discriminate consumers' shopping behavior preferences, and effectively deal with the problem of object recognition under multivariate conditions. The results can provide the basis for the judgment of the shopping behavior preference of target consumer groups for the development layout of regional retail formats.
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