The impact of e-retail usage on relative retail patronage formation

Narimasa Yokoyama, Nobukazu Azuma, Woonho Kim
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Abstract

PurposeDespite retail digitisation and research efforts focussed on online and omnichannel shopping, there is insufficient knowledge regarding retail patronage formation in the grocery category, where in-store sales dominate. This study analyses the retail patronage formation in grocery in-store fill-in shopping.Design/methodology/approachThe authors designed a questionnaire to measure retail patronage behaviour, consumer satisfaction (CS), store attributes evaluation and e-retail usage. Then, the authors analysed the path structure for retail patronage behaviour formation using structural equation modelling. Additionally, they performed a mediation analysis using the bootstrap method and a moderation analysis based on a chi-square difference test.FindingsThis study provides three main findings. First, the authors' model has two ways to increase Share-of-Wallet (SOW). One is to increase Share-of-Visits (SOV) and another is to increase CS amongst non-users of e-retailing. Second, the results of the moderation analysis suggest the influence of customers' use or non-use of e-retailing on SOW formation. Third, service evaluation plays an interesting role in the overall model: the lower the assessment of service, the higher the SOV; the higher the evaluation of service, the greater the CS; the greater the CS, the higher the SOV.Originality/valueThe authors proposed the framework for the relative retail patronage formation in grocery fill-in shopping to examine the relationship between two relative patronage indicators (SOW and SOV) in the path structure and the mediating effect of CS and the moderating effect of e-retailing usage on retail patronage formation.
电子零售使用对相对零售惠顾形成的影响
尽管零售数字化和研究工作集中在在线和全渠道购物上,但在店内销售占主导地位的杂货类别中,关于零售惠顾形成的知识不足。本研究分析了食品杂货店内补货购物中零售惠顾的形成。设计/方法/方法作者设计了一份调查问卷来衡量零售惠顾行为、消费者满意度(CS)、商店属性评估和电子零售使用情况。然后,作者利用结构方程模型分析了零售惠顾行为形成的路径结构。此外,他们还使用自举法进行了中介分析,并基于卡方差异检验进行了适度分析。研究结果本研究提供了三个主要发现。首先,作者的模型有两种增加钱包份额(Share-of-Wallet, SOW)的方法。一个是增加访问份额(SOV),另一个是增加非电子零售用户的CS。第二,适度分析的结果表明顾客使用或不使用电子零售对SOW形成的影响。第三,服务评价在整个模型中发挥着有趣的作用:服务评价越低,SOV越高;服务评价越高,CS越大;CS越大,SOV越高。本文提出了杂货填充购物中相对零售惠顾形成的框架,考察了路径结构中两个相对惠顾指标(SOW和SOV)之间的关系,以及CS的中介作用和电子零售使用对零售惠顾形成的调节作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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