Financial Decision-Making Methods and Their Impact on Project Management

This review article examines the influence of financial decision-making techniques on project management. Through the application of cost-benefit analysis, financial modeling, and cash flow forecasting, this study investigates how to pinpoint the best strategies to optimize financial outcomes in projects. Furthermore, sensitivity analysis is emphasized as a valuable method for evaluating economic and financial fluctuations within project management. Considering the intricacies and obstacles tied to these approaches, the integration of innovative solutions like artificial intelligence and big data analytics is proposed to enhance these decision-making processes. The aim of this research is to formulate more robust and accurate models that support project management professionals in navigating financial difficulties. This article critiques the existing literature to uncover gaps and suggest novel avenues for future studies in the realm of project management.

کلیدواژه ها:

cost-benefit analysis ، financial modeling ، sensitivity analysis ، big data analytics ، project management