A strategy optimization method for technology companies combining SWOT matrix model and decision tree analysis

Abstract

In the face of the complex and severe international situation and heavy development and reform tasks, it is urgent to establish an efficient organization system of strategic scientific and technological forces, and give full play to the key role of scientific and technological enterprises in the system of strategic scientific and technological forces. In order to enhance the strategic optimization and selection ability of science and technology enterprises, this paper establishes the strategic decision-making index system of science and technology enterprises and uses principal component analysis to obtain its common factors and index weights. Then we take Y Science and Technology Company as the research object, analyze the influence of its internal and external environment by combining the SWOT matrix model, and input the strategic decision indicators into the decision tree model to predict the strategic optimization choice ability of science and technology enterprises. It is found that the decision tree model's prediction accuracy is up to 76.04%, which is 13.89% higher than the logistic regression model's accuracy in the whole model. The decision tree model can provide multiple feasible paths for the strategic optimization choice of science and technology enterprises, and the enterprises can make reasonable choices according to their own situation, thus enhancing the science and technology enterprises to gain a foothold in the increasingly fierce market.