THE EFFECT OF USER-GENERATED CONTENT ON PURCHASE INTENTION FOR FASHION PRODUCTS: AN EVIDENCE FROM JIANGSU, CHINA

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Yipinghui Wu
Pongsiri Kamkankaew

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This study investigates the relationship between user-generated content (UGC) on social media and the purchase intention of fashion products among consumers in Jiangsu province, China. The main objective is to understand how credibility, quality, attractiveness, usefulness, and risk influence buying decisions in the fast-growing fashion e-commerce market. The research applied a quantitative method with a sample size of 385 respondents, chosen through convenience sampling. Data were collected using a structured questionnaire with a five-point Likert scale, and validity and reliability were confirmed with Cronbach’s alpha values above 0.70. Statistical analysis included correlation and multiple regression.


          The results show that perceived credibility (β = 0.1400, p < 0.05), perceived quality (β = 0.1371, p < 0.05), perceived attractiveness (β = 0.1290, p < 0.05), and perceived usefulness (β = 0.1374, p < 0.05) all have significant positive effects on purchase intention, while perceived risk (β = –0.1440, p > 0.05) shows a negative but insignificant effect. The regression model explains 40.7% of the variance in purchase intention (R² = 0.407), and the Durbin–Watson value of 1.09 confirms no autocorrelation. These findings highlight the importance of building credibility, quality, attractiveness, and usefulness in UGC to influence consumers’ decisions, while perceived risk remains a limiting factor in online shopping behavior.

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