As the rapid economic growth and over-consumption within the largest population worldwide has resulted in harmful environment deterioration, a shift to more sustainable consumption behaviors is required in China. Although public interests in sustainability have increased and consumers’ attitudes are positive, their behavioral intentions are not consistent with attitudes. This study aims to uncover psychological drivers and barriers (consumption values, social norms, and attitudes to sustainable apparel products) of Chinese consumers’ behavioral intentions toward sustainable apparel products (SAP) by exploring the attitude–behavioral intention gap. Online survey data were used to examine the moderating impacts of consumption values and social norms on relationship between Chinese consumers’ attitudes and behavioral intentions toward SAP. Results from moderating regression analysis suggest that (1) Chinese consumers’ SAP attitudes had a strong positive effect on the purchase intention toward SAP, (2) aesthetic values positively moderated the relationship between the SAP attitude and purchase intention, whereas conspicuous values negatively moderated the relationship, and (3) utility values and social norms did not show any significant moderating influences on the relationship between the SAP attitude and purchase intention. Our study validates the attitude–behavior gap model in sustainable consumer behavior and discusses how the current findings can assist researchers and practitioners in the Clothing and Textiles field alike to fine-tune sustainable programs and marketing strategies in China.

Since fast fashion is often considered the opposite of sustainable fashion, this study was conducted to clarify the consumer brand associations with sustainable fashion by analyzing three fast fashion brands. Our research included two studies. First, we conducted in-depth interviews with 20 female consumers in Korea who had purchase experience with the sustainable fashion of three selected brands, H&M, Zara, and Uniqlo, to identify sustainable keyword associations. We then structured the keyword data using network analysis. The keyword associations for the three brands resulted in a network of 60 nodes and 629 links with the term “eco-friendly” as the most meaningful keyword. Second, we surveyed 200 women and quantitatively confirmed the association of “eco-friendly fabric” among the keywords suggestive of “eco-friendly” as the most important factor in building a sustainable fashion brand image. In addition, keywords, such as “marketing” and “campaign”, were ranked in the top ten in H&M and Zara, which may imply the opportunistic use of greenwash. This study contributes to the literature by applying in-depth analysis of consumer associations of fast fashion brands from a sustainability perspective through network analysis. We expect our findings to help fashion companies strategically build a sustainable fashion brand image.