{"title":"技术网络中的人工智能:实现可持续发展目标的催化剂","authors":"Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, Mauro Caputo","doi":"10.1016/j.technovation.2025.103398","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid adoption of artificial intelligence (AI) and other digital technologies is profoundly transforming business processes and activities, enhancing various aspects of sustainability. These technological developments offer new opportunities to address complex sustainability challenges and contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). This study aims to investigate the networked value of AI within an ecosystem of digital technologies for achieving the SDGs. While extensive literature is based on the individual contributions of AI and other digital technologies to enhance sustainable development, there is a gap in understanding the networked value of AI when integrated with other technologies for sustainability. Based on a comprehensive dataset of 2161 sustainable business practices drawn from scientific literature, social network analysis was applied to map the relationships between AI within a technology ecosystem for achieving the SDGs. The results reveal that AI plays a central role, particularly in supporting SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), and SDG 12 (Responsible Consumption and Production). Moreover, AI is closely connected to key digital technologies such as the Internet of Things, computing, and digital applications. These findings reveal the importance of strategically leveraging AI in conjunction with other technologies to enhance sustainability performance. In contrast to much of the existing literature, which is largely concentrated on environmental aspects, this research demonstrates that AI holds untapped potential to address socially oriented SDGs. It also identifies current gaps in the integration of AI with immersive environments and proximity technologies.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"151 ","pages":"Article 103398"},"PeriodicalIF":12.0000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in technology networks: A catalyst for achieving the SDGs\",\"authors\":\"Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, Mauro Caputo\",\"doi\":\"10.1016/j.technovation.2025.103398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid adoption of artificial intelligence (AI) and other digital technologies is profoundly transforming business processes and activities, enhancing various aspects of sustainability. These technological developments offer new opportunities to address complex sustainability challenges and contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). This study aims to investigate the networked value of AI within an ecosystem of digital technologies for achieving the SDGs. While extensive literature is based on the individual contributions of AI and other digital technologies to enhance sustainable development, there is a gap in understanding the networked value of AI when integrated with other technologies for sustainability. Based on a comprehensive dataset of 2161 sustainable business practices drawn from scientific literature, social network analysis was applied to map the relationships between AI within a technology ecosystem for achieving the SDGs. The results reveal that AI plays a central role, particularly in supporting SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), and SDG 12 (Responsible Consumption and Production). Moreover, AI is closely connected to key digital technologies such as the Internet of Things, computing, and digital applications. These findings reveal the importance of strategically leveraging AI in conjunction with other technologies to enhance sustainability performance. In contrast to much of the existing literature, which is largely concentrated on environmental aspects, this research demonstrates that AI holds untapped potential to address socially oriented SDGs. It also identifies current gaps in the integration of AI with immersive environments and proximity technologies.</div></div>\",\"PeriodicalId\":49444,\"journal\":{\"name\":\"Technovation\",\"volume\":\"151 \",\"pages\":\"Article 103398\"},\"PeriodicalIF\":12.0000,\"publicationDate\":\"2026-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technovation\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0166497225002305\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technovation","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166497225002305","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Artificial intelligence in technology networks: A catalyst for achieving the SDGs
The rapid adoption of artificial intelligence (AI) and other digital technologies is profoundly transforming business processes and activities, enhancing various aspects of sustainability. These technological developments offer new opportunities to address complex sustainability challenges and contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). This study aims to investigate the networked value of AI within an ecosystem of digital technologies for achieving the SDGs. While extensive literature is based on the individual contributions of AI and other digital technologies to enhance sustainable development, there is a gap in understanding the networked value of AI when integrated with other technologies for sustainability. Based on a comprehensive dataset of 2161 sustainable business practices drawn from scientific literature, social network analysis was applied to map the relationships between AI within a technology ecosystem for achieving the SDGs. The results reveal that AI plays a central role, particularly in supporting SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), and SDG 12 (Responsible Consumption and Production). Moreover, AI is closely connected to key digital technologies such as the Internet of Things, computing, and digital applications. These findings reveal the importance of strategically leveraging AI in conjunction with other technologies to enhance sustainability performance. In contrast to much of the existing literature, which is largely concentrated on environmental aspects, this research demonstrates that AI holds untapped potential to address socially oriented SDGs. It also identifies current gaps in the integration of AI with immersive environments and proximity technologies.
期刊介绍:
The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.