Cuong Nguyen

TikTok is increasingly influential in promoting brand awareness and boosting purchase intention. From a social media marketing perspective, brand awareness significantly influences consumers’ purchasing decisions. The primary objective of this study is to investigate and measure the factors influencing the brand awareness of TikTok users through social media marketing communications. The paper employs exploratory factor analysis, Cronbach’s Alpha test, and regression analysis to test the hypotheses. 24 observed variables were divided into six groups. Each variable was assessed using a 5-point Likert scale. The sample size includes 240 valid responses from TikTok users collected via convenience sampling. The questionnaire was distributed to TikTok users from Vietnam via the link on Google Forms. The collected data were processed by SPSS 20 software. The results suggest that six independent variables positively affect brand recognition via social media marketing on TikTok, with a 95% confidence interval at Sig. = 0.000 (0.05). Each of the six variables positively impacts initial expectations and is statistically significant at 1%. The results show that trends (Beta = 0.299) are the most decisive factors impacting brand awareness of TikTok users. Besides, electronic word of mouth (Beta = 0.242), influencer (Beta = 0.220), entertainment (Beta = 0.206), interaction (Beta = 0.200), and storytelling (Beta = 0.179) also positively affect the brand awareness of TikTok users. Limitations and further research suggest that marketers should investigate the role of artificial intelligence (AI) in the consumer’s brand awareness-constructing process.

Peer-to-peer recommender systems play a critical role in online shopping in Vietnam. This paper aims to identify the relationship between Recommendation Quality and Purchase Intention and the moderating effects of Attitude and Trust on this relationship. Partial Least Squares Structural Equation Modeling was used as a research method. The sample consisted of 365 respondents who frequently use recommender system when shopping online. Data were collected using non-probability sampling method. The questionnaire is delivered to online customers who frequently rely on peer-to-peer recommender systems to make a purchase decision. The results show that Recommendation Transparency, Recommendation Accuracy, Recommendation Novelty, and Recommendation Diversity are positively related to Recommendation Quality. Consequently, Recommendation Quality has a positive impact on Attitude, Trust, and Purchase Intention. Besides, Attitude has a positive impact on online Purchase Intention. Trust also has a positive impact on online Purchase Intention. Practical implications are proposed to improve the impacts of peer-to-peer recommender systems on online shopping.