A CROSS-DISCIPLINARY STUDY ON THE APPLICATIONS OF THE LOGISTIC GROWTH MODEL

As a classic mathematical model describing growth processes under limited resources, the Logistic growth model is widely applied in biology, sociology, economics, management, and other fields due to its ability to accurately depict the -shaped growth curve characterized by "slow initial growth, accelerated middle growth, and stable late growth". This paper systematically sorts out the basic principles of the Logistic model, elaborates on its specific application scenarios in various fields, and analyzes the model's advantages and limitations, providing references for related research and practice.