Study on Consumers' Purchase Intention of 3D-Printed Deformable Women's Clothing and Its Influencing Factors

Abstract

Against the backdrop of consumption upgrading and technological innovation, 3D-printed transformable clothing, as an emerging clothing category, has attracted attention from both academic and industrial circles. This study comprehensively adopts methods such as literature research, questionnaire survey, and the Value-Attitude-Behavior (VAM) model to conduct an in-depth exploration of consumers' purchase intention toward such clothing and its influencing factors. Theoretically, based on the VAM model and consumer behavior theory, a conceptual framework is constructed to analyze dimensions including individual characteristics, product attributes, social influences, and environmental factors.The empirical results show that consumers' individual traits—such as consumer innovativeness, fashion sensitivity, and environmental awareness—and product attributes—including the degree of personalized customization, functional innovation, material comfort, and price rationality—have a significant impact on purchase intention. Meanwhile, social factors such as reference group attitudes and social fashion trends, as well as environmental factors like macro-policy orientation and economic environment stability, also play a moderating role in the purchase decision-making process.This study provides a theoretical basis and practical guidance for expanding the 3D-printed clothing market and promoting industrial innovation and development, helping clothing enterprises accurately grasp market demand and optimize product design and marketing strategies.