Competitive Intelligence in Renewable Energy Systems: A Strategic Framework for Achieving Sustainable Development Goal 7
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Palabras clave

Renewable energy sources
Energy efficiency
environmental sustainability
Energy security
Clean energy
Transition to green energy

Cómo citar

Makedon, V., Politykin , M., Hromyak, S., Novosad, I., & Doronina, I. (2026). Competitive Intelligence in Renewable Energy Systems: A Strategic Framework for Achieving Sustainable Development Goal 7. Journal of Sustainable Competitive Intelligence , 16, e0654. https://doi.org/10.37497/eagleSustainable.v16i.654

Resumen

Purpose: To develop and validate a competitive intelligence framework that transforms renewable energy data into strategic decision-making tools for achieving Sustainable Development Goal 7 and creating sustainable competitive advantage.

Methodology/approach: The study follows the full competitive intelligence cycle and applies statistical analysis, content analysis, and econometric modeling (linear regression) to secondary data. Elasticity and correlation coefficients were calculated.

Originality/Relevance: The research introduces a novel competitive intelligence conceptual model that links raw renewable energy data directly to actionable intelligence, integrating smart grids, synchronization standards, and AI as strategic tools.

Key findings: Renewable energy significantly reduces CO₂ emissions and stimulates GDP growth, with differentiated elasticities by source (hydropower: 3.3758; solar: 0.2431). Main barriers remain high investment costs, infrastructure deficits, and regulatory constraints.

Theoretical/methodological contributions: The study proposes a replicable CI framework and evidence-based recommendations for policy and investment prioritization, advancing the integration of Competitive Intelligence into sustainable energy transition.

https://doi.org/10.37497/eagleSustainable.v16i.654
PDF (English)

Citas

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