Digital transition of industrial enterprises into the “smart” ecosystem

Abstract

Digital transformation is the foundation for the development of industrial enterprises and inevitably leads to interconnected changes in products, services, strategies, business processes and relations between enterprises and market segments. Smart production cannot develop effectively in the form of isolated projects since development is required in the context of market sectors. So industrial enterprises expand their ecosystems, and thanks to coordinated innovations, the active introduction and dissemination of their digital transformation processes begins. In the context of digitalization, the “smart” ecosystem is becoming a global and growing multisectoral environment not only for industrial enterprises, but also for all market participants – suppliers, partners, public organizations, customers, etc. These associations contribute to faster adoption of innovative technologies, connecting resources for maximum results, flexible response to sharp changes in the market, which, in the context of digital transformation, require enterprises to achieve comprehensive results. The purpose of this study is to identify and identify the features of the digital transition of industrial enterprises to the smart ecosystem. The author determined what conditions contribute to the emergence of fundamentally new ecosystems of industrial enterprises that initiate the active development of innovative technologies and products, as well as the emergence of new opportunities for expanding the sphere of activity. An analysis of the stages of creating an effective “smart” ecosystem of industrial enterprises was carried out, and the characteristics of each of them were identified. It is noted that this smart ecosystem development plan will allow industrial enterprises to make more effective preparations for active external cooperation even in limited industry conditions. The study identifies six key factors, which include: synchronization of the life cycles of the enterprise; providing intelligent software and network connectivity for traditional industrial products; use analytics to take stock of production activities and make decisions based on data from a variety of sources, including products connected to the network; in-house production should be flexible; the transition to a smart ecosystem should start with an all-as-a-service business model; creating and managing smart ecosystems. These factors affect the successful and efficient functioning of the smart ecosystem of industrial enterprises in modern conditions, which will subsequently allow the provision of personalized, contextual, innovative services that generate regular revenues.