2026-04-13T01:44:27Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2217372025-12-05T10:40:26Zcom_2072_1057col_2072_478811col_2072_478917

00925njm 22002777a 4500 dc Fontoura, Leonardo F author Nascimento, Daniel Luiz de Mattos author Vieira Neto, Julio author Caiado, Rodrigo Goyannes Gusmão author 2025-06-25T10:28:22Z 2025-06-25T10:28:22Z 2025-06-01 2025-06-25T10:28:22Z Considering 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. Empreses Política energètica Tecnologia Ètica Gestió financera Business enterprises Energy policy Technology Ethics Financial management Energy Gen-AI Technology Framework: A perspective of energy efficiency and business ethics in operation management