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Abstract- This quantitative research aimed to 1) examine the influence of e-commerce delivery factors—delivery speed (DS), delivery accuracy (DA), real-time tracking availability (RTTA), perceived delivery cost (PDC), and delivery reliability (DR)—on consumer satisfaction (CS) among students at Guangxi Industrial Technician College, and 2) analyze the relative importance of each delivery factor in affecting students' satisfaction with e-commerce delivery services. The research population comprised students enrolled at Guangxi Industrial Technician College, and the sample included 400 respondents selected using a stratified random sampling approach across six academic departments, with gender balance considered to enhance representativeness. Data were collected using a 5-point Likert-scale questionnaire measuring the five delivery factors and CS. Content validity was evaluated by the Index of Item-Objective Congruence (IOC), with IOC values exceeding 0.6, and internal consistency reliability was assessed using Cronbach's alpha, indicating good content validity and internal consistency. The data were statistically analyzed using descriptive statistics, Pearson correlation, and multiple regression analysis. Regression diagnostics included variance inflation factors (VIF) and the Durbin–Watson statistic. The results revealed that DS, DA, RTTA, and DR showed significant positive relationships with CS, while PDC showed a significant negative relationship. DA was identified as the most influential predictor of CS (β = 0.184, p < 0.001), followed by DR (β = 0.166, p < 0.01), RTTA (β = 0.149, p < 0.01), DS (β = 0.145, p < 0.01), and PDC (β = -0.147, p < 0.01). The regression model accounted for 33.2% of the variance in CS (R² = 0.332, Adjusted R² = 0.324). Diagnostic tests indicated no serious multicollinearity (VIF: 1.399-1.543) and no problematic autocorrelation (D-W = 1.904) in the regression model.

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