Drawing on signaling theory and a relational perspective, this study examines how perceived influencer credibility is associated with e-loyalty intentions in influencer-mediated social commerce. Rather than claiming that each individual path is theoretically unexpected, this study positions its contribution in specifying a conditional signal-to-relationship process. Specifically, perceived influencer credibility is conceptualized as a credibility-based digital promotional signal, brand trust and customer engagement are examined as sequential relational mechanisms, and perceived brand authenticity is positioned as an identity-consistency boundary condition in the customer engagement–e-loyalty intention relationship. Using survey data from 372 consumers with influencer-mediated social commerce experience, the data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that perceived influencer credibility is positively associated with brand trust, brand trust is positively associated with customer engagement, and customer engagement is positively associated with e-loyalty intentions. The bootstrapped serial indirect association through brand trust and customer engagement is significant, indicating a trust–engagement pathway linking influencer-mediated promotional credibility to e-loyalty intentions. Perceived brand authenticity also positively moderates the customer engagement–e-loyalty intention relationship. Descriptive conditional indirect estimates further suggest that the indirect association through brand trust and customer engagement is stronger at higher levels of perceived brand authenticity; however, this conditional indirect pattern is interpreted conservatively because bootstrapped confidence intervals for the low and high conditional estimates were not directly available. These findings extend influencer marketing research by shifting attention from isolated credibility effects to a theory-driven process explaining how influencer credibility is associated with e-loyalty intentions through trust, engagement, and authenticity-based boundary conditions.
Ming-Hsuan Wu (Mon,) studied this question.