SKRIPSI DIGITAL
Effects Of Logistics Service Quality and Price Fairness on Repurchase Intention with Customer Satisfaction as A Mediating Variable in E-Commerce Shein (Case Study of Fashion Items of Taiwanese Gen Z University Students) = Effects Of Logistics Service Quality and Price Fairness on Repurchase Intention with Customer Satisfaction as A Mediating Variable in E-Commerce Shein (Case Study of Fashion Items of Taiwanese Gen Z University Students)
              The explosive growth of cross-border e-commerce (CBEC) has not only revolutionized global retail but also redefined consumer expectations particularly among Generation Z, a digitally native and highly demanding consumer segment. Platforms like Shein have surged in popularity by offering ultra prices and trend-driven fashion. However, this competitive pricing often comes at the cost of slower international shipping. Are they still sustaining customer satisfaction and making purchasing intentions?
This study investigates how logistics service quality (LSQ) and perceived price fairness (PF) influence customer satisfaction (CS) and repurchase intention (RI), focusing on Taiwanese Generation Z users of Shein. The research adopts the Stimulus-Organism-Response (SOR) framework to explain how external stimuli (LSQ and PF) influence internal psychological responses (CS), which then drive behavioral outcomes (RI). Additionally, Expectancy Disconfirmation Theory (EDT) is used to examine how satisfaction arises when actual service performance meets or exceeds customer expectations.
Using a quantitative approach, data from 100 respondents were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that both logistics service quality and price fairness significantly enhance customer satisfaction and repurchase intention. Moreover, customer satisfaction partially mediates the relationship between the independent variables and repurchase behavior.
This research makes several key contributions. Theoretically, it enriches CBEC literature by integrating SOR and EDT frameworks to model consumer behavior in a cross-border, fast-fashion context. Methodologically, it demonstrates the applicability of PLS-SEM in examining relationships among latent variables. Practically, the study offers valuable insights for CBEC platforms like investing in efficient logistics and transparent pricing strategies is essential to meet the expectations of Gen Z consumers and ensure long-term customer retention.            
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