无人超市顾客群体分析研究——基于2018年北京地区调查数据  

Analysis of Customers for Unmanned Supermarket——Based on data of 2018 survey in Beijing

作　　者：尚华 李强丽 王晓元 王艳 SHANG Hua;LI Qiangli;WANG Xiaoyuan;WANG Yan(College of Science,North China Institute of Science and Technology,Yanjiao,065201,China)

机构地区：[1]华北科技学院理学院,北京东燕郊065201

出　　处：《华北科技学院学报》2019年第1期115-120,共6页Journal of North China Institute of Science and Technology

基　　金：中央高校基本科研业务费资助(3142017005;3142015042);教育科学研究课题(HKJYZD201724);河北省科技计划项目(162176438);华北科技学院概率论与数理统计重点学科支持(06DV09)

摘　　要：本文通过交叉分析、卡方检验、相合性检验,说明男性相对女性对无人超市的了解程度更高;年轻人相对老年人更加了解无人超市;学历越高越愿意去光顾体验无人超市;月收入越高也越愿意去光顾体验无人超市。通过建立二项logistic回归和多项有序回归模型,说明人们的收入高低是影响其是否接触无人超市的显著影响因素,收入越高,其接触无人超市的概率也会显著的增大。Through cross-analysis, chi-square test and consistency test, this paper shows that males have a higher understanding of unmanned supermarkets than females;young people know more about unmanned supermarkets than older people;the higher the education and the monthly income of people, the more willing to go to experience unmanned supermarkets. By establishing binomial logistic regression and multiple ordered regression models, it is shown that people’s income is a significant factor affecting their exposure to unmanned supermarkets. The higher the income, the higher the probability of contact with unmanned supermarkets.

关 键 词：无人超市 交叉分析 卡方检验 相合性检验 LOGISTIC回归模型 

分 类 号：F721[经济管理—产业经济]