| ABSTRACT |
The contemporary business environment is characterized by unprecedented volatility, uncertainty, complexity, and ambiguity (VUCA), rendering traditional, intuition-based strategic management and forecasting models increasingly inadequate. The emergence of Artificial Intelligence (AI), particularly machine learning (ML), natural language processing (NLP), and deep learning, presents a paradigm shift, offering the potential to augment and transform strategic decision-making. This research paper develops and proposes a novel integrated framework for embedding AI throughout the strategic management process, from environmental scanning and strategy formulation to implementation, evaluation, and dynamic forecasting. Through a systematic literature review, we trace the evolution of strategic tools and establish the theoretical foundation for AI as a strategic capability. The study employs a mixed-method methodology, combining a qualitative multiple-case study analysis of four firms recognized as AI leaders with a quantitative simulation modeling the impact of AI-driven forecasting on supply chain performance. The case studies reveal that successful AI integration hinges on a symbiotic "Human-AI Hybrid Intelligence" model, where AI handles high-volume data processing and pattern recognition, and humans provide contextual judgment, ethical oversight, and creative synthesis. The simulation results demonstrate that an AI-powered predictive forecasting model reduced supply chain forecast errors by an average of 32% and improved inventory turnover by 18% compared to traditional statistical methods. Furthermore, the study identifies key organizational prerequisites for success, including data governance maturity, algorithmic literacy among leadership, and an agile strategic planning culture. The results also highlight critical challenges, such as algorithmic bias, the "black box" problem, and strategic dependency risks. The paper concludes that AI is not merely a tactical tool but a foundational component of modern strategic management, enabling a shift from reactive, episodic planning to proactive, continuous, and evidence-based strategy. We posit that the future competitive landscape will be defined by an organization's ability to effectively leverage this cognitive partnership, transforming the role of the strategist from a solitary visionary to a conductor of human and machine intelligence. |
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