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This master thesis explores the divergent consumer preferences within e-commerce sales funnels in China and Germany, two of the world's leading e-commerce markets. This comparative study explores the complexities of website design preferences, the influence of cultural elements on consumer decision-making, and the drivers of consumer loyalty and repeat purchases, with China's rapid adoption of digital technology and innovative marketing strategies set against Germany's mature market and consumer trust.
A mixed-methods approach is used in the research, combining quantitative and qualitative analysis. Insights into consumer behaviors and preferences influenced by cultural, economic, and technical aspects are provided by a thorough analysis of scholarly literature, case studies, and consumer surveys from both nations. The report highlights the distinctive features of each market by examining important elements such as digital innovation, sustainability, social integration, data protection, and mobile commerce in e-commerce practices.
Remarkably, the thesis seeks to provide practical insights to German e-commerce practitioners. German businesses can learn more about properly aligning their marketing and operational goals with consumer expectations by studying the successful techniques employed in China. This research contributes to academic understanding while also having implications for marketers and e-commerce platforms looking to improve user engagement, conversion rates, and the overall online shopping experience in the dynamic global e-commerce world.
Understanding how consumers choose between alternatives and how they use the context in doing so is the aim of numerous consumer behaviour studies. The effect of extremeness aversion has been found to be a replicable phenomenon in this field. According to this context effect, alternatives with extreme numerical attributes are less likely to be chosen than the alternative with intermediate attributes in a choice set. A new research direction regarding extremeness aversion considers not only these numerical attributes of a choice set but also the implications of the spatial dimension. Therefore, it has been hypothesized that there could also be a preference for the spatial middle in a choice set. As the phenomenon of extremeness aversion corresponds with decision uncertainty, this research aimed to investigate numerical and spatial extremeness aversion in a product class of high uncertainty and complexity. Thus, consumer preferences regarding the product class of wine were analysed in different choice architectures. Interviews in a wine specialist store and an online survey were conducted with a total number of 924 participants. The study’s results are not consistent over both data collection methods. However, independently of each other, they support the notion that consumer choices may be partly influenced by a preference for the numerical middle option, as well as by a preference for the spatial middle option.