Table './tdc/tbl_dc_meta_control_57' is marked as crashed and last (automatic?) repair failed
Wang, Lingyi. Live streaming sales on consumer decision-making behavior based on the AISAS model. Master's Degree(Digital Innovation and Financial Technology). Chiang Mai University. Library. : Chiang Mai University, 2025.
Live streaming sales on consumer decision-making behavior based on the AISAS model
Abstract:
In recent years, live streaming e-commerce has rapidly emerged as a transformative force in the digital retail sector, reshaping the way consumers interact with products and make purchasing decisions. This study uses the AISAS model (attention, interest, search, action, sharing) as an analytical framework to explore the impact of emotional marketing on consumer decision-making behavior in the live streaming environment. The study incorporates emotional stimulation into the attention stage of the AISAS model to explore how real-time interaction, visual and auditory cues, and the charm of the anchor affect consumer engagement and impulse buying. This study collected empirical data on consumer engagement and impulse buying through research questionnaires. A total of 400 valid questionnaires were collected and analyzed using reliability analysis, exploratory factor analysis (EFA), and structural equation modeling (SEM). The results show that emotional marketing significantly increases consumers attention and interest, which in turn has a positive impact on purchasing behavior and post-purchase sharing behavior. By incorporating the variable of emotional marketing into the AISAS model, this study provides practical suggestions for digital marketers and live streaming platforms seeking to improve consumer engagement and conversion rates. In addition, this study also explores the limitations of the study and future research directions.