Following the causal complexity theory, fsQCA has emerged as an advanced methodology in examining hypotheses and creating new theories in social science. However, fsQCA falls short dealing with structural associations and with latent variables when multi-faceted scales are combined into a single indicator by mean. To extend the application of fsQCA, the study demonstrates an approach to investigate a multi-layered problem of eWOM, social influence, and product adoption intention. The findings from fsQCA successfully confirmed the results from the statistical approach that eWOM and social influence have structural associations with customer adoption intentions of new high-tech products.