Guiying, Lyu. Expectancy confirmation model for consumer satisfaction of Hema Fresh. Master's Degree(Digital Innovation and Financial Technology). Chiang Mai University. Library. : Chiang Mai University, 2568.
Expectancy confirmation model for consumer satisfaction of Hema Fresh
แบบจำลองการยืนยันความคาดหวังสำหรับความพึงพอใจของผู้บริโภคต่อ Hema Fresh
Abstract:
Drawing upon an enhanced version of the Expectation Confirmation Model (ECM), the present research investigates the influence of perceived value alongside logistics service quality on customer satisfaction and ongoing engagement within fresh produce online retailing. Data was gathered through a questionnaire administered offline in-store and in public areas to 500 participants at Hema Fresh outlets in Kunming, Yunnan Province. Employing a five-point Likert scale, the framework yielded an R² of 0.306 for satisfaction and 0.293 for continuance intention, accounting for 30.6% of the variation in satisfaction levels and 29.3% in sustained usage. Notably, logistics service quality (β = 0.318, 0.001) and perceived value (β = 0.266, 0.001) both contribute significantly to satisfaction, while satisfaction (β = 0.186, 0.001), perceived value (β = 0.223, 0.001), and logistics service quality (β = 0.267, 0.001) influence continuance intention. Such outcomes reinforce ECM's robustness for perishable goods scenarios, pinpointing perceived value and logistics efficacy as key drivers. Practical recommendations emerge for optimizing omnichannel strategies in localized fresh markets. Constraints encompass the cross-sectional approach ; subsequent studies are advised to incorporate time-series or inter-urban analyses.