Organizational structure is the most basic framework of an enterprise and an important part of enterprise management, and excellent enterprise culture is a huge intangible asset of an enterprise, which is a valuable spiritual wealth to unite all the employees and achieve excellence in the enterprise. The study summarizes the influencing factors of corporate culture reshaping and organizational structure adaptation, uses Spearman correlation coefficient to analyze the correlation of independent variables, and finally identifies 12 characteristic variables with insignificant correlation as independent variables. In order to improve the prediction accuracy of corporate culture remodeling and organizational structure fitness, this paper proposes a combined machine learning model based on SMOTE-XGBoost, comparing with logistic regression, KNN, decision tree, and random forest in machine learning, the SMOTE-XGBoost model for this paper has a better prediction effect in terms of the fitness precision rate, recall rate, and F1 score increased by 50%, 18%, and 38%, respectively. , with better prediction effect. The SHAP model is used to analyze the important influencing factors of corporate culture remodeling and organizational structure fitness, and it is concluded that behavioral performance, information technology enhancement, enterprise scale development strategy, market competition and skill mastery are the five characteristic indicators with the greatest influence.
