Abstract: 【Purpose/significance】Explore the impact of cultural differences on the motivation of consumers' information contribution behavior, provide reference basis for e-commerce enterprises and platforms to understand the driving mechanism of consumers' knowl⁃ edge sharing in different cultures, and to enhance the willingness of consumers' feedback participation and information quality. 【Method/process】Based on motivational crowding theory, a motivational research model of user information contribution behaviour in online feedback systems is constructed, and partial least squares structural equation modelling (PLM-SEM) is used for model testing. The cultural values dimension is introduced, and the fuzzy set qualitative comparison approach (fsQCA) is used to analyse the motiva⁃ tional crowding effects and combinations of consumer information contribution behaviors in different cultural contexts.【Result/conclu⁃ sion】The results of PLM-SEM analysis show that both extrinsic and intrinsic motivation have significant positive effects on consum⁃ ers' information contribution behavior; with extrinsic motivation as a moderator, financial rewards weaken the relationship between en⁃ joyment and consumers' information contribution behavior, leading to a "motivation crowding out effect", and external expectations positively moderating the relationship between helping others and information contribution. External expectations can positively regu⁃ late the relationship between helping others and information contribution behavior, and there is a "motivation crowding-in effect". The fsQCA analysis revealed the existence of four groupings of intrinsic and extrinsic motivations for consumers' information contribution behaviors, reflecting motivational combinations and crowding effects under different cultural influences.【Innovation/limitation】The study focuses on analyzing the motivation of consumers to contribute information to online feedback systems in the dominant culture of the sample countries, longitudinal studies could be used to track the evolution of individual motivation based on differences in cultural values across individuals, and adopting longitudinal studies to track the evolution of individual motivation.