Abstract:
With the popularity and growth of live streaming e-commerce, customers in China rely heavily on suggestions and recommendations from live streamers and peers in the live streaming e-commerce community when making purchase decisions. Enhancing customer engagement in the context of live streaming e-commerce is critical for operators looking to maximize traffic monetization. Applying the social support theory and Source model from endorser theory, I develop theoretical model to understand how live steamers and the community effect on customer engagement, which is tested by using 100 valid responses from customers in Taobao Live. The results show that credibility of live streamer (expertise, trustworthiness and attractiveness) and attractiveness of live streamer (familiarity, likeability, and similarity) had positively significant relationships with social support (emotional support and informational support) and customer engagement. Specially, the unexpected result that emotional support has negative effect on customer engagement provides a new perspective about community in live streaming context is totally different from s-commerce. It emphasises the significance of comprehending the implications of community formation from various perspectives in live streaming e-commerce.
