An empirical study on user buying behaviour in fashion industry using logistic regression

被引：0

作者：

Chauhan, Shaifali ^{[1
]}

Banerjee, Richa ^{[2
]}

Mittal, Mohit ^{[3
]}

Bhakar, Sher Singh ^{[2
]}

机构：

[1] Jiwaji Univ, Gwalior 474001, Madhya Pradesh, India

[2] Prestige Inst Management, Dept Management, Gwalior, India

[3] INRIA, CRIStAL, Lille, Nord Europe, France

来源：

INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION | 2021年 / 12卷 / 04期

关键词：

buying behaviour; logistic regression; support vector machine; fashion apparels; PLS-SEM; HEDONIC CONSUMPTION; IMPULSE; MODEL; TENDENCY; IMPACT; COLLINEARITY; INVOLVEMENT; INTENTIONS; CONSUMERS;

D O I：

10.1504/IJESMS.2021.119870

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The potential growth in technology is very high from past two decades. Due to this, every field of life is connected to internet. Nowadays, millions of people use internet and do shopping online. The fashion industry has opened new gates for online users by providing various offers. In this paper, a model is proposed for analysing impulse buying (IB) towards apparels based on consumers' shopping behaviour. The data of 569 responses is collected and evaluated by using partial least square-structural equation modelling framework. Further, for analysing and identification of exact parameters that is highly important which affect user buying behaviour has used statistical approaches such as logistic regression. Based on results, hedonic and positive emotions (PE) have a significant impact on impulse buying, whereas involvement and sales promotion have an insignificant relationship.

引用

页码：252 / 263

页数：12

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