Figure 1.
The process flow diagram shows four sequential stages for evaluating company projects. Stage one presents case selection, including presenting research to project management, defining critical success factors, and setting return on investment parameters. Stage two shows data augmentation, where an augmented dataset is created by increasing records up to 5400 projects and applying error calculation and optimisation cycles. Stage three shows supervised machine learning, where past projects and known success labels train machine learning classifiers to generate predictive models for future projects. Stage four shows results analysis, including accuracy evaluation, overfitting reduction, comparison with final project return on investment, and comparison with company weighted average cost of capital, concluding the process.Flowchart of the research design
Source: Authors’ own work