Abstract:Different from traditional retailer store brand, online retailers, have accumulated a large amount of consumer data in the sales process, who can make use of big data resources to make customized efforts in the development store brands. However, how does the power structure differences and customization efforts impact the decision-making of e-commerce store brand introduction is still unclear. This paper uses the Stackelberg game theory to establish three kinds of game situations: not introducing store brands, strong e-commerce platforms introducing store brands, weak e-commerce platforms introducing store brands. By comparing the price, demand and profit of three scenarios, this paper finds that: first, the conditions for e-commerce platforms to introduce store brands are that the potential demand coefficient of store brands and the cost efficiency of customized technology are higher than a certain value, and the threshold for weak e-commerce platforms to introduce store brands is higher. Second, the introduction of e-commerce store brands can improve the profits of manufacturers and channels under certain parameters. For manufacturers, the introduction of store brands by strong e-commerce platforms is more favorable, while from the perspective of the whole channel, the introduction of store brands by weak e-commerce platforms is more favorable with a low substitution degree between brands.