{"title":"政府对供应链中人工智能投资和能源泄漏缓解技术的影响:二元模型和情景分析","authors":"Jafar Hussain , Benjamin Lev , Jifan Ren","doi":"10.1016/j.sftr.2025.100853","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the economic dynamics within a supply chain management (SCM) involving manufacturers, agents, and retailers. It focuses on strategies to mitigate energy leakage (EL) through the integration of artificial intelligence (AI) technology and the imposition of EL taxes. A simulation-based optimization model is used to find different optimal scenarios. Through a series of optimized scenarios, the research examines the impacts of these interventions on SCM efficiency, profitability, and sustainability. The findings reveal that while the introduction of EL taxes initially increases operational costs, it effectively causes an improvement in energy efficiency. At the same time, significant investments in AI technology reduce energy wastage, leading to enhanced profitability and sustainability across the SCM. The research concludes with recommendations for SCM entities to actively invest in AI technology and for governments to impose taxes as a penalty. Additionally, it suggests further exploration of collaborative investments and emerging technologies to enhance SCM sustainability.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"10 ","pages":"Article 100853"},"PeriodicalIF":4.9000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Government Influence on AI investment and energy leakage mitigation technology in SCM: Duality modeling and scenario analysis\",\"authors\":\"Jafar Hussain , Benjamin Lev , Jifan Ren\",\"doi\":\"10.1016/j.sftr.2025.100853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates the economic dynamics within a supply chain management (SCM) involving manufacturers, agents, and retailers. It focuses on strategies to mitigate energy leakage (EL) through the integration of artificial intelligence (AI) technology and the imposition of EL taxes. A simulation-based optimization model is used to find different optimal scenarios. Through a series of optimized scenarios, the research examines the impacts of these interventions on SCM efficiency, profitability, and sustainability. The findings reveal that while the introduction of EL taxes initially increases operational costs, it effectively causes an improvement in energy efficiency. At the same time, significant investments in AI technology reduce energy wastage, leading to enhanced profitability and sustainability across the SCM. The research concludes with recommendations for SCM entities to actively invest in AI technology and for governments to impose taxes as a penalty. Additionally, it suggests further exploration of collaborative investments and emerging technologies to enhance SCM sustainability.</div></div>\",\"PeriodicalId\":34478,\"journal\":{\"name\":\"Sustainable Futures\",\"volume\":\"10 \",\"pages\":\"Article 100853\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Futures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666188825004186\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Futures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666188825004186","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Government Influence on AI investment and energy leakage mitigation technology in SCM: Duality modeling and scenario analysis
This study investigates the economic dynamics within a supply chain management (SCM) involving manufacturers, agents, and retailers. It focuses on strategies to mitigate energy leakage (EL) through the integration of artificial intelligence (AI) technology and the imposition of EL taxes. A simulation-based optimization model is used to find different optimal scenarios. Through a series of optimized scenarios, the research examines the impacts of these interventions on SCM efficiency, profitability, and sustainability. The findings reveal that while the introduction of EL taxes initially increases operational costs, it effectively causes an improvement in energy efficiency. At the same time, significant investments in AI technology reduce energy wastage, leading to enhanced profitability and sustainability across the SCM. The research concludes with recommendations for SCM entities to actively invest in AI technology and for governments to impose taxes as a penalty. Additionally, it suggests further exploration of collaborative investments and emerging technologies to enhance SCM sustainability.
期刊介绍:
Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.