2026-04-05T10:53:34Zhttps://recercat.cat/oai/request

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

Energy Gen-AI Technology Framework: A perspective of energy efficiency and business ethics in operation management Fontoura, Leonardo F Nascimento, Daniel Luiz de Mattos Vieira Neto, Julio Caiado, Rodrigo Goyannes Gusmão Empreses Política energètica Tecnologia Ètica Gestió financera Business enterprises Energy policy Technology Ethics Financial management 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. 2025-06-25T10:28:22Z 2025-06-25T10:28:22Z 2025-06-01 2025-06-25T10:28:22Z info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Reproducció del document publicat a: https://doi.org/10.1016/j.techsoc.2025.102847 Technology In Society, 2025, vol. 81, p. 1-19 https://doi.org/10.1016/j.techsoc.2025.102847 cc-by-nc-nd (c) Elsevier, 2025 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Elsevier Articles publicats en revistes (Empresa)