This study aims to synthesize the most frequently used economic variables in economic feasibility studies for large asset investments. By consolidating these variables, the research provides a unified framework to support decision makers and stakeholders in making informed investment decisions in the context of competitiveness and globalization. A bibliometric analysis was conducted using journal articles related to economic feasibility studies. The analysis identified, categorized, and compared the economic parameters most frequently applied in prior research for evaluating large asset investments. The results reveal 11 commonly used economic variables: risk assessment, Monte Carlo simulation, sensitivity analysis, net present value (NPV), cost–benefit analysis, cost estimating, operating cost, payback period, profitability, life cycle, and uncertainty. These variables represent the most prevalent considerations for evaluating the financial viability and risk of investment projects. The study focuses exclusively on published journal articles, potentially omitting variables from industry reports or unpublished sources. Future research could integrate broader datasets and sector-specific analyses to enhance applicability. Unlike prior studies that employed differing sets of economic variables, this research offers a comprehensive synthesis, resulting in a unified reference framework. The findings can assist decision makers in selecting the most relevant parameters for robust and reliable investment evaluations.