This study contributes to use both symmetric and asymmetric data analysis methods to examine the relationships within the research dimensions. Specifically, the symmetric data analysis method (i.e., SEM, Structural equation modeling) aims to explore the net effects of brand image, consumer opinion leader, perceived value, and WOM intention. On the other hand, the asymmetric data analysis method (i.e., fsQCA, Fuzzy-set qualitative comparative analysis) focuses on investigating whether a fuzzy set composed of brand image, consumer opinion leader, and perceived value as antecedent variables forms sufficient conditions leading to a high level of WOM intention. A quantitative research approach is employed in this study, utilizing a questionnaire survey conducted through online survey (Google form) to collect the empirical data. Multivariate analysis including descriptive statistical analysis, factor analysis, reliability analysis, SEM, and fsQCA, are sequentially applied. The results of SEM indicate that both enhancing brand image and strengthening consumer opinion leadership contribute to increasing perceived value. Additionally, improving consumer opinion leadership and perceived value further reinforce word-of-mouth intention. Moreover, the findings from fsQCA reveal three distinct sufficient conditions that lead to a high level of word-of-mouth intention.