A structural-functional model for managing digital maturity in a cluster-based, innovation-active industrial ecosystem within Industry 5.0

Abstract

The rapid advancement of technologies in the context of Industry 5.0 necessitates profound changes and transformations in managing digital maturity within industrial enterprises and clustered industrial ecosystems. This consequently necessitates the creation of adaptive models to ensure sustainable development and improve competitiveness. Effective digital maturity management is a crucial factor in the successful integration of technology into business processes, emphasizing the scientific novelty and relevance of this study. Therefore, this study aimed to develop a structural-functional model for managing digital maturity in clustered innovation-active industrial ecosystem (CIAIE). To achieve this objective, contextual analysis and case study methods were used to analyze the characteristics of Industry 5.0, identify features specific to CIAIEs, and examine the nature of digital maturity in industrial enterprises. Furthermore, system analysis methods served as the foundation for developing a structural-functional model, and modeling methods were used to create an original strategy for evaluating digital maturity. This study identified an expanded terminology in industrial economics and digital economy, based on the interpretations of the concepts "clustered innovation-active industrial ecosystem" and "digital maturity of clustered innovation-active industrial ecosystem", the development of a structural-functional model for managing digital maturity of CIAIE, and a corresponding evaluation method. The results showed that achieving a "very high digital maturity" level in CIAIE required an average investment increase of 25%. This increase significantly improved key parameters such as technical equipment, organizational structure, human resources, product customization, and cybersecurity, based on the principles of Industry 5.0.