STRATEGIC GUIDELINES FOR INNOVATIVE MANAGEMENT DECISION-MAKING IN THE CONTEXT OF DIGITAL TRANSFORMATION

Abstract

The article provides a comprehensive analysis of the transformation of management decision-making processes in a digital environment characterized by high dynamics, growing data volume, multifactorial uncertainty and increased cyber threats. The study is aimed at identifying strategic guidelines that ensure effective innovative management of enterprises in the context of digitalization and technological changes. It is determined that digital transformation is not limited to the implementation of new IT solutions, but involves a deep rethinking of management approaches, structures and the cultural paradigm of the organization. The feasibility of transitioning to modular, dynamic strategies based on the principles of data-driven, agile and anticipatory management is substantiated. An integrated approach to management in the digital age is proposed, which combines digital platforms, adaptive organizational structures, big data analytics, artificial intelligence (AI), the Internet of Things and cloud computing as key factors of efficiency. Particular attention is paid to generative models, which are increasingly integrated into strategic management, acting as tools for decision support, automated analysis of alternatives, risk assessment and scenario forecasting. Separately, the risks and limitations associated with the use of AI in management are investigated, in particular cybersecurity issues, ethical dilemmas, the risk of excessive automation and the emergence of new forms of cyber threats. In the context of increasing the adaptability of organizations to change. Significant emphasis is placed on building a flexible digital infrastructure that includes ERP, CRM, BI platforms and other digital ecosystems for integrated management, as well as the formation of a digital culture focused on continuous learning, innovation and openness to change. The results of the study allowed us to form a model of digital management that takes into account risk factors, uncertainty, cyber threats and ethical challenges. The author emphasizes that such a model should provide enterprises with adaptability, competitiveness and strategic sustainability in a dynamic digital space. The conclusion is made about the need for further interdisciplinary research in the field of digital strategy, data analytics, cyber management and the impact of AI on the transformation of management practices.