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Association between shopping habit and demographics of m-commerce user's in India using two way ANOVA

机译:使用两种方差分析在印度购物习惯和移动商务用户的人口统计之间的关联

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India has the second highest mobile phone users after China. In India using touch screen mobile device is fashion. All age group people now used touch screen handheld device to do shopping for daily need. Mobile commerce provides personalization and location based services to users. For those demographics of users plays an important role. In this paper authors try to find association between shopping habit and demographics of Indian mobile commerce users. For that authors conduct a online survey and collect data of 335 users. To conduct this experiment authors chose two demographics factors of Mobile commerce user's 1. Gender 2. yearly income. Through two way analysis of variance (ANOVA) we identified that 1) Gender and yearly income of customer are significant at 95% and 9999% confidence level respectively on shopping habit. 2) There is interaction between gender and yearly income towards shopping habit.
机译:印度拥有仅次于中国的第二大手机用户。在印度使用触摸屏的移动设备是时尚。现在,所有年龄段的人都使用触摸屏手持设备进行日常购物。移动商务为用户提供个性化和基于位置的服务。对于那些用户的人口统计起着重要的作用。在本文中,作者试图找到购物习惯与印度移动商务用户的人口统计之间的关联。为此,作者进行了在线调查,并收集了335位用户的数据。为了进行该实验,作者选择了移动商务用户1.性别2.年收入的两个人口统计学因素。通过方差的两种方法分析(ANOVA),我们发现:1)客户的性别和年收入分别对购物习惯的置信度分别为95%和9999%。 2)性别和年收入之间存在着购物习惯的相互作用。

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