Toma de decisiones con inteligencia artificial en procesos de gestión del sector alimenticio cárnico
Year: 2025
Type: article
Abstract: Introduction: This article analyzes the competitiveness of the Colombian meat sector and the need for innovative approaches in managerial decision-making in the face of AI and market disruptions. Objective: to evaluate innovative management strategies derived from the use of AI in this sector. Methodology: the methodology used is a reflective article based on the formative process of a Master's Degree in Management, which delves into innovation as a driver of organizational transformation. Reflection: it focuses on how AI drives innovative management strategies through agile metadata-driven decisions and organizational reconfiguration towards sustainability and efficiency, highlighting the ethical, social and technical challenges. Conclusion: the strategic and responsible adoption of AI can be a sustainable competitive advantage, improving the position of companies to respond to global demands, ensure quality and safety to a more resilient and innovative industry
Source: Ingente Americana
Institution: Corporación Universitaria Americana
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4414650647
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