Addressing Growth Stagnation in IT companies with Advanced Strategic Planning Methods
Open Access DepositedIT companies need structured data driven methods to plan their future growthbecause they are not expanding anymore. The study research looks at different performance drivers and competitive edge elements by combining both statistical and mathematical methods. The study exploratory research found NOI, Number of Cybersecurity Incidents, and Operating Expenses could predict a company's growth. The study built a complete organizational and operational database before running statistical and machine learning models to validate the study results. The study models achieved 0.8718 R² value which showed that NOI explained 60% of growth while cybersecurity stability explained 34.36% and expense efficiency explained 21.70% of growth variance. The study research shows that companies grow better when they make high profits from operations and protect their digital systems well but struggle when their operating costs run inefficiently. The study results aligned with the classification algorithms used to predict organizational success because regression analysis showed high accuracy in these findings. The research results show how to use strategic planning tools to overcome business slowdowns, and these methods need further testing with more data. The results give leaders specific directions to follow and create a base for future research projects about IT company growth.
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