Beyond Net Present Value: A Practical Framework for De-Risking Strategic Technology Investments

Engineering managers in capital-intensive industries face a critical challenge: how to select high-risk, high-reward innovation projects when traditional tools like Net Present Value (NPV) are unreliable. NPV encourages anchoring on financial forecasts that are often the least reliable part of a proposal, pushing managers to either reject transformative projects because their value is hard to quantify, or fund weak projects based on overly optimistic numbers. This article introduces a practical, four-step decision framework—integrating DEMATEL, the Analytic Network Process (ANP), and Fuzzy TOPSIS—designed for corporate venture capital (CVC) and strategic technology investments. The framework first maps causal relationships among investment criteria to separate root causes from downstream effects, then derives interdependency-based weights, ranks candidate portfolios under linguistic uncertainty, and produces a transparent, defensible recommendation. Through a 48-month longitudinal case study at a ${\$}$100 million CVC fund, validated by a 27-member expert panel spanning financial, technical, and strategic perspectives, we demonstrate the framework's real-world efficacy. A key insight for managers is that upstream risks, such as technology disruption and regulatory compliance, are far more influential on project success than downstream financial projections, which the analysis confirmed account for only a small share of the overall decision weight. The portfolio selected using this framework achieved a 23% higher success rate, together with a higher average ROI, stronger strategic score, and faster time to value, compared to the firm's historical baseline. These results provide a validated methodology to de-risk strategic innovation, offering practical value to large enterprises and resource-constrained SMEs alike.