Fontoura, Leonardo FNascimento, Daniel Luiz de MattosVieira Neto, JulioCaiado, Rodrigo Goyannes Gusmão2025-06-252025-06-252025-06-010160-791Xhttps://hdl.handle.net/2445/221737Considering the mounting request for viable energy solutions emphasising sustainability, this study addresses the context by positioning Generative Artificial Intelligence (Gen-AI) as a pivotal remedy for improved process efficiency. Concerns about its uncontrolled use and ethical implications prompted a thorough examination of problems and gaps in this domain. This study innovates by positioning Gen-AI as a critical solution for improving energy efficiency amidst rising demand for sustainable energy at the operation and supply chain management levels. Based on technological determinism, it introduces an Energy Gen-AI Technology Framework (EnGen-AI) that integrates Gen-AI, energy efficiency, Business Ethics (BE), and Corporate Social Responsibility (CSR) principles for implementing Gen-AI to enhance sustainable energy management. The methodology includes a scoping review, a multi-criteria analysis, and a technology framework. The study harmonises BE-CSR with Gen-AI practices, offering essential guidance for management implementing Gen-AI in sustainable energy solutions whilst observing its impacts on ethical and social aspects.19 p.application/pdfengcc-by-nc-nd (c) Elsevier, 2025http://creativecommons.org/licenses/by-nc-nd/3.0/es/EmpresesPolítica energèticaTecnologiaÈticaGestió financeraBusiness enterprisesEnergy policyTechnologyEthicsFinancial managementinfo:eu-repo/semantics/article7586452025-06-25info:eu-repo/semantics/openAccess