Examining the role of receptivity to green communication, altruism and openness to change on young consumers’ intention to purchase green apparel: A multi-analytical approach

开放的体验 计划行为理论 利他主义(生物学) 结构方程建模 心理学 社会心理学 营销 多级模型 业务 控制(管理) 经济 统计 数学 管理
作者
Alok Tewari,Smriti Mathur,smriti srivastava,Divya Gangwar
出处
期刊:Journal of Retailing and Consumer Services [Elsevier]
卷期号:66: 102938-102938 被引量:77
标识
DOI:10.1016/j.jretconser.2022.102938
摘要

The current study aims to examine the impact of receptivity to green communication, altruism and openness to change on young consumers' purchase intention towards green apparel in India. Using a two stage approach, the research model is assessed with data collected through an online survey from a sample of 549 young consumers. In the first step, structural equation modeling (SEM) is used to determine the linear relationship among factors in the theoretical model. In the second step, artificial neural network (ANN) analysis is used to determine the predictive accuracy of the significant factors obtained from the SEM. The results from the SEM analysis reveal that receptivity to green communication, altruism and openness to change, along with the three predictors of the theory of planned behavior (TPB) significantly affect consumers’ purchase intention towards green apparel. Further, there is an indirect effect of altruism and openness to change on purchase intention through attitude supporting the value-attitude-behavior cognitive hierarchy (VABH). Besides, perceived behavioral control is found to mediate the impact of openness to change on intention to purchase green apparel. The root mean square of error (RMSE) values obtained from the ANN analysis suggest that the models show good predictive accuracy. The study contributes to the existing literature by confirming the applicability of the TPB and the VABH as well as suggesting a robust predictive framework by using ANN for green apparel purchase intention.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
林夕发布了新的文献求助10
刚刚
脑洞疼应助欢喜冷S亦A采纳,获得10
刚刚
KP完成签到,获得积分10
1秒前
Orange应助路过采纳,获得10
2秒前
2秒前
3秒前
3秒前
北辰关注了科研通微信公众号
4秒前
奥沙利楠完成签到,获得积分10
4秒前
建建发布了新的文献求助10
5秒前
6秒前
张柔完成签到,获得积分10
6秒前
7秒前
王志鹏完成签到 ,获得积分10
7秒前
8秒前
饱满完成签到,获得积分10
9秒前
9秒前
10秒前
11秒前
Diliam应助小米粥24采纳,获得30
11秒前
11秒前
852应助munire采纳,获得10
11秒前
12秒前
科研通AI6.3应助lysbor采纳,获得10
12秒前
12秒前
香蕉觅云应助研友_LaV1xn采纳,获得10
12秒前
13秒前
Wind应助hhhhh采纳,获得10
13秒前
独特小凡发布了新的文献求助10
13秒前
13秒前
14秒前
Wind应助苏大壮实采纳,获得20
14秒前
15秒前
Baelfire完成签到,获得积分10
15秒前
15秒前
QDL发布了新的文献求助10
15秒前
南风不竞发布了新的文献求助10
15秒前
老虎油发布了新的文献求助10
15秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
晋绥日报合订本24册(影印本1986年)【1940年9月–1949年5月】 1000
Social Cognition: Understanding People and Events 1000
Polymorphism and polytypism in crystals 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6032705
求助须知:如何正确求助?哪些是违规求助? 7722753
关于积分的说明 16201263
捐赠科研通 5179362
什么是DOI,文献DOI怎么找? 2771782
邀请新用户注册赠送积分活动 1755051
关于科研通互助平台的介绍 1640057