A conceptual model of a digital adaptive industrial ecosystem within the context of Industry 4.0 and its contribution to sustainable development

The convergence of Industry 4.0 technologies and sustainable development goals fundamentally transforms digital ecosystems, yet the theoretical mechanisms and operational boundaries of this intersection remain under-researched. This study aims to conceptually substantiate an adaptive digital ecosystem model and develop a theoretical-methodological framework for evaluating its potential impact on sustainable development. The proposed approach is anchored in the decomposition and operationalization of parameters within an extended Cobb–Douglas production function. Based on a thematic literature review, the paper delineates the concepts of "digital platforms," "organizational networks," "integrated systems," and "adaptive ecosystems," thereby resolving existing terminological ambiguity. It outlines a conceptual scheme for integrating Industry 4.0 principles through recursive, synergistic processes that support sustainability across three vectors: minimizing energy losses, optimizing resource utilization, and reducing material waste. To provide an operational foundation for future testing, the study proposes a specification of an extended Cobb–Douglas function, hypothetically incorporating variables for digital integration (D), service autonomy (S), community responsiveness (C), and their interaction term. This mathematical apparatus is designed to translate environmental and social targets into measurable managerial decisions comparable with economic metrics. To guide future validation of the model, four categories of sector-specific barriers (technological, organizational, economic, and regulatory) are systematized, and the deployment potential of the framework is differentiated—ranging from full-scale application in high-tech sectors (automotive, energy) to adapted configurations in industries with different levels of digital maturity (agriculture, mining, pharmaceuticals).