Models for Adapting Business Strategies in Manufacturing Enterprises Amid Digital Technology Integration

Аннотация

This article explores current approaches to CITATION the digital transformation of business strategies in Alexandr Hacicheant. manufacturing enterprises, identifying the core COPYRIGHT © 2025 Original content from this work may be used under the terms prerequisites and influencing factors for successful of the creative commons attributes 4.0 License. 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. The American Journal of Engineering and Technology 159 https://www.theamericanjournals.com/index.php/tajet Keywords: digital business transformation, digital formation, and continuous refinement of the business maturity, Industry 4.0, business strategy, manufacturing model. Favoretto C. et al. [2] note that the shift from enterprises, IoT, big data, ERP, agile, ecosystem. traditional to digital business models in manufacturing passes through a stage of rethinking the value Introduction: The relevance of this topic lies in the fact proposition, which imposes new demands on process that, in the era of the Fourth Industrial Revolution, architecture and customer relationship systems. digital change has evolved beyond isolated IT solutions and now requires a full-scale rethinking of strategic Finally, a third group of studies focuses on the strategic management in manufacturing enterprises. aspects of digital transformation in international and Accelerated information exchange, increasing demands logistics contexts. Meyer K. E. et al. [7] analyze for agile decision-making, and intensified global “international business in the digital age,” where digital competition have significantly elevated the need to platforms and national institutional environments integrate digital technologies at the level of business create a paradox: global strategies must account for models and management processes [1, 2]. local regulatory and cultural distinctions, complicating the creation of a unified digital business model. Academic studies on the adaptation of business Shevchenko D. A. et al. [8] illustrate how integrating strategies in manufacturing organizations under digital intelligent logistics systems accelerates industrial integration fall into several major thematic clusters, restructuring by acting as a bridge between digital each reflecting distinct methodological and subject- ecosystems and physical manufacturing processes. oriented approaches. Kagermann H. [9] examines a cyber-physical systems First, within the theoretical foundations of digital integration model that highlights the interplay between transformation, key emphasis is placed on the concept digital services and traditional manufacturing of dynamic capabilities and the alignment of digital processes. He argues that moving to a hybrid strategy with the organization’s overall direction. infrastructure demands a rethink not only of Canhoto A. I. et al. [3] emphasize the importance for operational workflows but also of management small and medium-sized enterprises (SMEs) to develop practices, in order to secure a sustainable competitive flexible digital capabilities that can rapidly respond to edge through the synergy of data and hardware. evolving market and technological demands. Ghosh S. et al. [6] analyze the mechanisms by which enterprises Ajayi M. O. and Laseinde O. T. [10] adapt Porter’s value- cultivate “digital dynamic capabilities” that drive chain framework to pinpoint both opportunities and transformation both at the strategic and operational shortcomings in digital-technology adoption. They levels. Shen L., Zhang X., and Liu H. [4], drawing on the show how each of the five primary activities—and all textile sector, show that the impact of digital four support activities—ca