Since consumers have expanded their interest in global countries with the ease of access to global content through online platforms such as YouTube, marketing practitioners endeavor to uncover an underlying mechanism on how consumers’ interest in global countries would prompt their digital shopping behavior. However, prior literature has not concentrated on the influence of watching videos about global countries on consumers’ digital shopping intentions. By scrutinizing a proprietary dataset regarding consumers’ YouTube watching history and shopping website/app usage behavior, we find that watching global content could increase consumers’ digital shopping duration. In addition, we also find that consumers watching more global content have variety-seeking tendencies when they use shopping websites and apps. Furthermore, we investigate the moderating factors such as social media search and consumers’ sentiment toward different countries on digital shopping. Our findings contribute to the international marketing literature and provide managerial implications to digital media platforms and global companies that utilize target recommendations strategy for marketing communication.

This study was conducted to investigate the effect of relationship and service marketing on the brand interest and behaviors among Korean and Chinese active senior consumers and whether this effect differed between the two groups. A survey was conducted by having participants complete questionnaires administered by a research firm. For empirical analysis, frequency, EFA, CFA, SEM, the metric invariance test, and multiple-group comparison analysis were performed. The analysis results revealed that relationship marketing positively affected both brand interest and consumer behavior. Although service marketing positively affected brand interest, it did not have a significant effect on consumer behavior. In other words, brand interest positively affected consumer behavior through relationship and service marketing. Multiple-group comparison analysis demonstrated that no difference existed between Korean and Chinese active consumers in terms of how relationship marketing affected their brand interest, but a difference existed in how it affected their behavior. Service marketing had a greater influence on Chinese active senior consumers’ brand interest than on Korean active senior consumers. However no difference existed between the two groups with respect to how service marketing affected their behaviors. Finally, brand interest had a positive effect only on Korean active senior consumers’ behavior through relationship and service marketing, but not on Chinese active senior consumers. In conclusion, relationship and service marketing should be used to enhance the brand interest among Korean active senior consumers, and business activities should be planned by building relationships with Chinese active senior consumers to affect their behavior.

Google Trends is a useful tool not only for setting search periods, but also for providing search volume to specific countries, regions, and cities. Extant research showed that the big data from Google Trends could be used for an on-line market analysis of opinion sensitive products instead of an on-site survey. This study investigated the market share of tumor necrosis factor-alpha (TNF-α) inhibitor, which is in a great demand pharmaceutical product, based on big data analysis provided by Google Trends. In this case study, the consumer interest data from Google Trends were compared to the actual product sales of Top 3 TNF-α inhibitors (Enbrel, Remicade, and Humira). A correlation analysis and relative gap were analyzed by statistical analysis between sales-based market share and interest-based market share. Besides, in the country-specific analysis, three major countries (USA, Germany, and France) were selected for market share analysis for Top 3 TNF-α inhibitors. As a result, significant correlation and similarity were identified by data analysis. In the case of Remicade’s biosimilars, the consumer interest in two biosimilar products (Inflectra and Renflexis) increased after the FDA approval. The analytical data showed that Google Trends is a powerful tool for market share estimation for biosimilars. This study is the first investigation in market share analysis for pharmaceutical products using Google Trends big data, and it shows that global and regional market share analysis and estimation are applicable for the interest-sensitive products.