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DOI: Models for Adapting Business Strategies in Manufacturing Enterprises Amid Digital Technology Integration
Dmitrii Pshichenko , Associate Professor, Department of Business Informatics, Higher School of Business, National Research University Higher School of Economics Moscow, Russia.Abstract
This article explores current approaches to the digital transformation of business strategies in manufacturing enterprises, identifying the core prerequisites and influencing factors for successful adaptation in the context of Industry 4.0. The study provides a comprehensive review of discrete maturity models, platform-based and hybrid approaches, incorporating BIM frameworks and interregional partnerships. Six key catalysts of digital transformation are identified: the predominance of information exchange, the acceleration of communication processes, the restructuring of organizational models, the rise of enabling technologies (IoT, Big Data, AI), evolving competency requirements, and the emergence of digital ecosystems. A unified matrix of digital tools is presented, including IoT, Big Data, AI, robotics, ERP/MES/PLM systems, and 3D printing. The article also outlines organizational and managerial mechanisms for implementation, covering agile-based structures, digital functional domains, and project financing models. The insights presented will be of interest to researchers in strategic management and digital transformation, particularly those focused on the theoretical justification and empirical validation of adaptive business models within Industry 4.0 manufacturing environments. Additionally, the approaches discussed may prove valuable to industrial enterprise executives, digital integration consultants, and government experts involved in shaping regulatory frameworks that promote digitization in the manufacturing sector.
Keywords
digital business transformation, digital maturity, Industry 4.0, business strategy, manufacturing enterprises, IoT, big data, ERP, agile, ecosystem
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