Аннотация
In the digital consumption era, ACG (Animation, Comic, and Game) derivative products are highly favored by Generation Z. This study investigates the influencing factors behind consumer purchases of secondary ACG derivatives. A structured questionnaire was conducted, and the data were analyzed using logistic regression to identify key predictors. To enhance analytical rigor, computing techniques such as Natural Language Processing (NLP) and K-means clustering were integrated. High-frequency keywords from online reviews were visualized via word clouds, while clustering revealed major concerns like authenticity, emotional attachment, and pricing. These computational insights supported the quantitative results, showing that emotional identity, product quality, and brand trust significantly affect consumer behavior. The study combines traditional statistical methods with intelligent computing tools, offering new perspectives for ACG marketing strategies and digital engagement.