业务
适度
营销
调解
独创性
顾客满意度
广告
结构方程建模
质量(理念)
调解
心理学
哲学
认识论
统计
社会心理学
数学
法学
政治学
创造力
作者
Kara Xiaohui,Damien Mather,Dana L. Ott,Eddy S. Fang,Phil Bremer,Miranda Mirosa
出处
期刊:International Journal of Retail & Distribution Management
[Emerald (MCB UP)]
日期:2021-12-04
卷期号:50 (2): 206-228
被引量:48
标识
DOI:10.1108/ijrdm-04-2021-0184
摘要
Purpose The purpose of this study is to investigate consumers' post–purchase experience when buying fresh food online. It examines the key dimensions of post–purchase online customer experience (post–purchase OCE) that impact customer satisfaction and repurchase intention. It also explores the role of corporate image as a moderator. Design/methodology/approach An online survey was conducted in China to capture participants' post–purchase OCE, satisfaction, repurchase intention and perceived corporate image. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyse data collected from 317 Chinese fresh food online shoppers. Moderated mediation analysis was conducted to analyse the moderating effect of corporate image. Findings Four post–purchase OCE dimensions “product-in-hand”, “customer support”, “benefits” and “packaging” significantly drive customers' repurchase intention by enhancing customer satisfaction. “Delivery” is not influential. Additionally, for firms with a good corporate image, customer repurchase intention is more easily affected by post–purchase OCE than firms with a lower level of corporate image. Practical implications The findings inform fresh food e-commerce firms of the critical post–purchase OCE dimensions that mostly drive customer satisfaction and help retain customers. Furthermore, it implies that firms with a good corporate image must provide high-quality post–purchase OCE that matches the image because the consequences associated with a poor post–purchase OCE can be severe. Originality/value This research is among the first to investigate fresh food post–purchase OCE. It also introduces the previously underexplored moderating role of corporate image.
科研通智能强力驱动
Strongly Powered by AbleSci AI