影响孟加拉国网上购物行为的因素:人口统计学视角

M. K. Hossain, Md Abdus Salam, Sheikh Sakib Jawad
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引用次数: 1

摘要

孟加拉国先前的研究考察了几种非人口因素如何影响消费者的在线购买行为。然而,没有专门的研究来检验消费者的人口因素与孟加拉国买家的网上购物行为之间的关系。因此,本研究旨在探讨网上购物行为与孟加拉买家的人口特征之间的关系。研究了消费者的年龄、性别、收入、教育程度、职业、婚姻状况等6个人口统计变量与网络购物行为之间的关系,并以网络购物频率为代表。通过结构化问卷,通过线下和在线调查,从孟加拉国七个省城市和农村地区的547名受访者中收集了主要数据。使用卡方检验来检验消费者人口统计学特征与网上购物行为之间的关系。研究发现,受教育程度较高、工作类别较高的男性和已婚消费者更倾向于在网上购物。然而,消费者的年龄和收入水平并没有显著影响他们的网上购物行为。这项研究的结果有望为在线零售商和商家提供有关买家行为的关键信息。关键词:联想,网上购物行为,人口统计学特征,卡方检验,cramsamrs V,电子商务JEL分类:M31, M39, L81
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors affecting online shopping behavior in Bangladesh: A demographic perspective
Prior studies in Bangladesh examined how several non-demographic factors influenced consumers' online buying behavior. However, no specific research has been conducted to examine an association between consumers' demographic factors and the online shopping behavior of Bangladeshi buyers. Therefore, this study aimed to examine the association between online shopping behavior and the demographic characteristics of Bangladeshi buyers. The association between six consumers' demographic variables, such as age, gender, income, education, occupation, and marital status, and online shopping behavior, proxied by the frequency of online shopping, was examined. Primary data through a structured questionnaire was collected from the 547 respondents in urban and rural areas of seven divisions in Bangladesh through offline and online surveys. The chi-square test was used to examine the association between consumers' demographic characteristics and online shopping behavior. The study found that male and married consumers with a higher level of education and higher-category jobs have a higher propensity to shop online. However, consumers' age and income level do not significantly impact their online shopping behavior. The study's outcomes are expected to provide online retailers and merchants with critical information about buyer behavior. Keywords: Association, online shopping behavior, demographic characteristics, chi-square test, Cramér’s V, e-commerce. JEL Classification: M31, M39, and L81
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