Abstract
This research aims to explore decision-making strategies in organizational processes and their relevance in today's business environment, using a comprehensive methodology based on a review of the scientific literature. Different approaches and methodologies used for decision making are presented, such as data-driven decision making, multi-criteria decision making, collaborative decision making and decision making based on artificial intelligence and machine learning. In addition, recent applications of these strategies in various organizational contexts, such as manufacturing, logistics and supply chain, project management, and product innovation and development, are discussed.
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