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Abstract
This paper presents an empirical study of the intercultural conflicts that Chinese migrants have experienced in Hungary, so far unexamined in the scientific literature. This study hypothesizes the wall theory, consisting of the visible wall and the invisible wall. The visible wall entails physical and spatial boundaries whereas the invisible wall refers to trust deficit. Our results suggest a visible wall is a ubiquitous concept in Hungarian culture, whereas the boundaries of the visible wall are obscure in Chinese culture. In contrast, the invisible wall is not prevalent in Hungarian culture, yet the invisible wall is a predominant concept in Chinese culture which alienates people in thinking. The concept of wall denotes different meanings in Chinese and Hungarian cultures. The study attempts to provide Chinese overseas with practical knowledge to be aware of the cultural differences and potential strategies to reduce intercultural conflicts.

AbstractExisting social media influencer marketing research mainly explores how to enhance followers purchase intentions through the mechanisms of improving the follower–influencer relationship, however leaves research gaps regarding how to design effective influencer recommendation information (IRI) to stimulate consumer purchase behaviors. To address the gaps, a research model was established based on the information adoption model. This study collected 2276 influencer recommendation posts from typical Chinese social media influencer marketing platform WeChat Shopping Circle. Text‐mining methods were used to develop measurements from influencer posts, and survey data were collected from 20 participants from a large Chinese university to validate measurements. Using negative binomial regression, the empirical study found that the number of consumers who purchase recommended products is determined by the usefulness of IRI, whereby being further affected by content expertise, content novelty, and platform endorsement to influencers. The type of recommended products moderates the relationship between these influencing factors and information usefulness. This study makes contributions by revealing the informational influence mechanism of IRI and identifying what factors can exert effective informational influence for different types of products. It also offers practical implications for the design of influencer recommendation strategies.