E-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping has received keen attention and fueled a rich strand of studies. To help managers and researchers synthesize this growing body of evidence, we conducted a comprehensive meta-analysis to unearth the factors that influence consumers’ online shopping. Our main takeaways reveal that the most important drivers of online shopping (a) conform to the TAM and TPB theories, in addition to (b) website characteristics and past experience. In particular, the multiple predictors are strongly related to online purchase intentions and purchase behavior, where attitude and convenience show the strongest impact. Furthermore, moderator analyses indicate that cultural traits have specific moderating effects on the links between purchase intention and some of its drivers. For instance, power distance and uncertainty avoidance have a positive effect, while individualism, indulgence and masculinity have a negative one. Finally, we apply meta-analytic structural equation modeling to test a conceptual framework including four groups of drivers (consumer–channel interactions, website characteristics, social influence, and consumer characteristics) and different aspects of online shopping. The findings provide valuable insights for online shopping research and practice.

电子商务极大地改变了消费者的购物流程和习惯。了解在线购物的主要驱动因素的需求受到了强烈关注，并推动了丰富的研究。为了帮助管理人员和研究人员综合这些不断增长的证据，我们进行了一项全面的元分析，以挖掘影响消费者在线购物的因素。我们的主要结论表明，除了 (b) 网站特征和过去的经验之外，网购最重要的驱动因素 (a) 符合 TAM 和 TPB 理论。特别是，多个预测因子与在线购买意图和购买行为密切相关，其中态度和便利性的影响最强。此外，调节者分析表明，文化特征对购买意愿与其某些驱动因素之间的联系具有特定的调节作用。例如，权力距离和不确定性规避具有积极作用，而个人主义、放纵和男子气概具有消极作用。最后，我们应用元分析结构方程模型来测试一个概念框架，包括四组驱动因素（消费者-渠道互动、网站特征、社会影响和消费者特征）和在线购物的不同方面。这些发现为在线购物研究和实践提供了宝贵的见解。我们应用元分析结构方程模型来测试概念框架，包括四组驱动因素（消费者-渠道互动、网站特征、社会影响和消费者特征）和在线购物的不同方面。这些发现为在线购物研究和实践提供了宝贵的见解。我们应用元分析结构方程模型来测试概念框架，包括四组驱动因素（消费者-渠道互动、网站特征、社会影响和消费者特征）和在线购物的不同方面。这些发现为在线购物研究和实践提供了宝贵的见解。