Women perspective of shifting paradigms towards online shopping

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES Pub Date : 2022-10-03 DOI:10.1080/02522667.2022.2128517
Nisha Singh, Archana Bhatia
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Abstract

Abstract Online shopping is a method of purchasing goods and services from the comfort of one’s own home, office, or any other location with internet access. It is the shifting paradigm of offline to online shopping scenario, specially in the Covid era when everybody in the whole world were forced to stay at their homes to be safe and movement was allowed only to buy groceries for stipulated period. The purpose of this study is to analyze the shifting paradigm of shopping from offline to online from the women perspective. The judgmental non probability sampling approach was used to gather cross-sectional primary data from online and offline women shoppers of the country. The questionnaire is prepared with the help of a literature review and experts. In order to understand the preferences of customer, discriminant analysis is applied on the collected responses of 200 women customers from metro cities of the country using SPSS software. The response data consists of the ratings provided by the women consumers for the different mode of shopping. It is compared with the help of Descriptive Statistics, Discriminant Analysis, Wilks Lambda, F stats and its p value. In the study the fifteen attributes are considered for comparing the preferences of women for shopping and found that out of fifteen attributes eight attributes are considered by women customers for online shopping, six for offline and in one attributes their preferences for online and offline shopping is almost same.
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女性对网络购物模式转变的看法
摘要网上购物是一种在自己舒适的家、办公室或任何其他有互联网接入的地方购买商品和服务的方法。这是线下购物模式向网上购物模式的转变,尤其是在新冠肺炎时代,全世界的每个人都被迫呆在家里以确保安全,行动只允许在规定的时间内购买食品杂货。本研究的目的是从女性的角度分析购物模式从线下到线上的转变。使用判断性非概率抽样方法收集了该国在线和离线女性购物者的横断面初级数据。调查问卷是在文献综述和专家的帮助下编制的。为了了解顾客的偏好,使用SPSS软件对来自全国大都市的200名女性顾客的回答进行了判别分析。响应数据包括女性消费者对不同购物模式的评分。并与描述性统计、判别分析、Wilks-Lambda、F统计及其p值进行了比较。在这项研究中,为了比较女性的购物偏好,考虑了15个属性,发现在15个属性中,女性顾客对网上购物考虑了8个属性,对线下购物考虑了6个属性,其中一个属性中她们对网上和线下购物的偏好几乎相同。
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来源期刊
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-
自引率
21.40%
发文量
88
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