Assessing the intellectual maturity of industrial systems: integration of concepts and tools

Increasing the level of production intellectualization is a current trend and a strategic priority of modern industrial development. Managing the development of intellectual production requires appropriate tools, one of which is a maturity assessment model. Research for defining intellectual maturity was conducted for several decades within various scientific disciplines. Therefore, the aim of this article is to develop a methodological approach for assessing the intellectual maturity of industrial systems in the data economy, based on the analysis and integration of various assessment concepts and tools. The evolution and specific features of various approaches and models for assessing intellectual maturity are presented: concepts of intellectual capital and knowledge management, maturity assessment models for Industry X.0, smart manufacturing, artificial intelligence, prospects for the development of industrial metaverses and ecosystems. The most common assessment areas within each approach are identified. The feasibility of building a model of an industrial system’s intellectual maturity in the form of a dynamic complex of sub-models is substantiated, allowing for its structure to be customized depending on the context of a specific enterprise. The strategic goals of the enterprise are highlighted as a key contextual factor determining the priority areas and depth of assessment for each of them. Specific principles for assessing intellectual maturity are formulated: strategic alignment, hierarchy, continuity, integration, redundancy, faceted choice, contextual intellectualization of design, quantification, convergence, and proactivity. A conceptual model for assessing the intellectual maturity of industrial systems is proposed.

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