The Impact of Involvement of Domestic Fashion Brands on Cultural Identity: A XGBoost Artificial Intelligence Algorithm

This study combines psychological theories and utilizes structural equation modeling and the XGBoost artificial intelligence algorithm to explore the mechanism of how involvement with domestic fashion brands affects cultural identity. Through a questionnaire survey of 827 participants aged 18 to 65 years, it was found that involvement with domestic fashion brands has a significant positive impact on cultural identity, with nostalgia partially mediating this relationship. Authenticity positively moderates the influence of involvement with domestic fashion brands on nostalgia, while Western cultural exposure positively moderates the influence of nostalgia on cultural identity. Additionally, this study further analyzes the influence of demographic variables and questionnaire items on cultural identity behavior using the XGBoost algorithm. With 90% of the data used as a training set, an algorithm model is established to predict the remaining 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> of the data, and the results show an accuracy of 95.18% in predictions. Furthermore, XGBoost can rank the importance of independent variables, allowing for more timely and effective prediction and adjustment of cultural identity based on important factors.