Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/221737
Title: Energy Gen-AI Technology Framework: A perspective of energy efficiency and business ethics in operation management
Author: Fontoura, Leonardo F
Nascimento, Daniel Luiz de Mattos
Vieira Neto, Julio
Caiado, Rodrigo Goyannes Gusmão
Keywords: Empreses
Política energètica
Tecnologia
Ètica
Gestió financera
Business enterprises
Energy policy
Technology
Ethics
Financial management
Issue Date: 1-Jun-2025
Publisher: Elsevier
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.techsoc.2025.102847
It is part of: Technology In Society, 2025, vol. 81, p. 1-19
URI: https://hdl.handle.net/2445/221737
Related resource: https://doi.org/10.1016/j.techsoc.2025.102847
ISSN: 0160-791X
Appears in Collections:Articles publicats en revistes (Empresa)

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