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El Rol de la Inteligencia Artificial en la Gestión de Stakeholders en pro-yectos de generación con Fuentes renovables de Energía, caso Colombia: Una Revisión Sistemática de Literatura
The Role of Artificial Intelligence in Stakeholder Management in Renewable Energy Generation Projects, Colombia Case: A Systematic Review of the Literature
DOI:
https://doi.org/10.15446/sicel.v12.121379Palabras clave:
éxito de proyectos, gestión de stakeholders, Inteligencia Artificial, transformación digital, Revisión sistemática de literatura (es)Stakeholder Management, Project Success, Digital Transformation, Artificial Intelligence, Systematic Literature Review (en)
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La gestión de los Stakeholders se ha consolidado como un factor importante para de éxito en los proyectos de generación energética, especialmente aquellos que utilizan fuentes renovables. La creciente complejidad social, técnica y ambiental de estos proyectos exige enfoques innovadores para identificar, clasificar y comprometer a los actores clave. En este contexto, la inteligencia artificial (IA) se presenta como una herramienta emergente con potencial para optimizar dicha gestión. Este artículo presenta una revisión sistemática de literatura que analiza el papel de la IA en la gestión de Stakeholders en proyectos de energía renovable. Se identifican avances, brechas teóricas y oportunidades de investigación futura, destacando la necesidad de modelos integrados que articulen técnicas de IA con la realidad contextual de países como Colombia.
Stakeholder management has become a crucial success factor in energy generation projects, particularly those based on renewable energy sources. The increasing social, technical, and environmental complexity of these projects demands innovative approaches to identify, classify, and engage key actors. In this context, artificial intelligence (AI) emerges as a promising tool to enhance stakeholder management. This paper presents a systematic literature review that examines the role of AI in stakeholder management within renewable energy projects. It identifies current developments, theoretical gaps, and opportunities for future research, emphasizing the need for integrated models that align AI techniques with the contextual realities of countries such as Colombia.
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