A Comprehensive Methodology for Evaluating R&D Projects on the Valorisation of Big Data in the Field Open Innovation According to the Frascati Manual

ABSTRACT In the dynamic landscape of Research and Development (R&D), there is still a gap in the evaluation of projects dealing with big data and open innovation. Integrating the resource‐based view (RBV) as a theoretical basis and the Frascati Manual principles to bridge theory and practice, this paper aims to provide a methodology for analyzing in a quantitative way the value of R&D projects dealing with big data. Leveraging Analytic Hierarchy Process (AHP) and Fuzzy Set Theory (FST), the proposed approach provides a hierarchical structure that measures the relative significance of the resources. The findings underscore a comprehensive evaluation methodology that captures the nuanced challenges of R&D projects in big data and open innovation fields, thus improving the capacity for strategic decision‐making by enabling companies to optimize their projects. Policymakers can employ the insights from this contribution to develop policies that encourage innovation and the efficient use of resources in R&D investments.