2026-04-17T22:49:45Zhttps://recercat.cat/oai/requestoai:recercat.cat:2445/2217372025-12-05T10:40:26Zcom_2072_1057col_2072_478811col_2072_478917
RECERCAT
author
Fontoura, Leonardo F
author
Nascimento, Daniel Luiz de Mattos
author
Vieira Neto, Julio
author
Caiado, Rodrigo Goyannes Gusmão
2025-06-25T10:28:22Z2025-06-25T10:28:22Z2025-06-012025-06-25T10:28:22Z
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.
cc-by-nc-nd (c) Elsevier, 2025 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess
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
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion