在线和离线
数据库事务
打破
繁荣
结构方程建模
交易数据
计算机科学
离线学习
业务
营销
万维网
数据库
机器学习
工程类
操作系统
环境工程
在线学习
作者
Yingzhao He,Yan Yu,Meiyun Zuo
出处
期刊:Internet Research
[Emerald (MCB UP)]
日期:2021-10-21
卷期号:32 (3): 843-874
被引量:2
标识
DOI:10.1108/intr-07-2020-0385
摘要
Purpose Drawing on open systems theory, this study aims to investigate the direct and moderating effects of information collaboration in the pre-sale stage, transaction management collaboration in the transaction stage and customer service collaboration in the post-sale stage on the linkages of the online–offline store image and the market performance of small sellers. Design/methodology/approach Data were collected from multiple sources, including self-reported and online objective data from 148 small restaurants that simultaneously sell online and offline, for validating the developed research model. Partial least squares-based structural equation modeling was used for data analysis. Findings This study illustrates the direct effects of an online store’s image and online–offline collaborations on the market performance of small stores. This study further reveals the boom-bust moderating effects of different collaborations between online–offline images and market performance. Practical implications Small stores should be aware of the importance of information congruence and functional integration concerning online–offline collaboration. They should also recognize the paradoxical intervening effects of online–offline collaboration on different channels and arrange appropriate collaboration tactics. Originality/value This study presents a significant contribution to the open systems theory by revealing both constructive and destructive properties of the online–offline collaborative system with offline-to-online targeting. Vertically differentiated online–offline collaboration may strengthen one side of the store image but weaken the other side for promoting the market performance of small stores.
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