Leonardo Fontoura , Daniel Luiz de Mattos Nascimento , Julio Vieira Neto , Rodrigo Goyannes Gusmão Caiado
{"title":"Energy Gen-AI technology framework: A perspective of energy efficiency and business ethics in operation management","authors":"Leonardo Fontoura , Daniel Luiz de Mattos Nascimento , Julio Vieira Neto , Rodrigo Goyannes Gusmão Caiado","doi":"10.1016/j.techsoc.2025.102847","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102847"},"PeriodicalIF":10.1000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25000375","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.