在个体绿色价值观和性别的调节模型中预测消费者购买环保运动服的意愿

Nisar Ahmed Channa, Beenish Tariq, A. Samo, N. Ghumro, N. Qureshi
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引用次数: 13

摘要

目的运用有机整合理论(OIT)、价值观-信念-规范理论(VBN)和性别图式理论(GST)三个理论视角,研究环境因素(环境态度、环境关注、感知环境责任和同伴影响)对消费者购买环保运动服意愿的影响。设计/方法/方法采用n = 380名巴基斯坦消费者的样本来检验假设的关系。使用SmartPLS 3.3.3版本,通过偏最小二乘结构方程建模(PLS-SEM)技术对数据进行分析。研究结果表明,环境态度、环境关注、感知环境责任和同伴影响与绿色购买行为呈正相关。个体绿色价值观对同伴影响与绿色购买行为的调节作用具有显著的统计学意义。环境态度、环境关注、同伴影响和环境责任感知对绿色购买行为的影响在性别上存在差异。原创性/价值本研究首次运用OIT、VBN和GST理论探讨环境激励因素对消费者购买环保运动服意愿的影响。本研究采用先进的分析方法进行多组分析,并建立模型的预测相关性,将PLS-SEM应用于体育管理和营销情境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting consumers' intentions to purchase eco-friendly athletic wear in a moderated model of individual green values and gender
PurposeUsing three theoretical lenses − organismic integration theory (OIT), theory of values-belief-norm (VBN) and gender schema theory (GST) − this study aims to examine the effect of environmental factors (environmental attitude, environmental concerns, perceived environmental responsibility and peer influence) on consumers' intentions to purchase eco-friendly athletic wear.Design/methodology/approachA sample of n = 380 Pakistani consumers was used to test hypothesized relationships. Data were analyzed through the partial least square structural equation modeling (PLS-SEM) technique using SmartPLS version 3.3.3.FindingsFindings suggest that environmental attitude, environmental concerns, perceived environmental responsibility and peer influence are positively associated with green purchase behavior. The moderating effects of individual green values were found statistically significant between peer influence and green purchase behavior. The data further revealed that the effect of environmental attitude, environmental concerns, peer influence and perceived environmental responsibility on green purchase behavior varies across the gender.Originality/valueThis research is one of the first attempts to explore the effect of environmental motivational factors on consumers' intentions to purchase eco-friendly athletic wear using theories of OIT, VBN and GST. This study employs advanced analytical methods to perform multi-group analysis and establish the predictive relevance of the model, using PLS-SEM in sports management and marketing context.
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