技术网络中的人工智能:实现可持续发展目标的催化剂

IF 12 1区 管理学 Q1 ENGINEERING, INDUSTRIAL
Technovation Pub Date : 2026-03-01 Epub Date: 2025-10-25 DOI:10.1016/j.technovation.2025.103398
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, Mauro Caputo
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引用次数: 0

摘要

人工智能(AI)和其他数字技术的迅速采用正在深刻地改变业务流程和活动,增强可持续性的各个方面。这些技术发展为解决复杂的可持续性挑战提供了新的机遇,并有助于实现联合国可持续发展目标(sdg)。本研究旨在调查人工智能在数字技术生态系统中实现可持续发展目标的网络价值。虽然广泛的文献是基于人工智能和其他数字技术对促进可持续发展的个人贡献,但在理解人工智能与其他可持续性技术相结合时的网络价值方面存在差距。基于从科学文献中提取的2161个可持续商业实践的综合数据集,应用社会网络分析来绘制实现可持续发展目标的技术生态系统中人工智能之间的关系。结果显示,人工智能发挥着核心作用,特别是在支持可持续发展目标7(可负担和清洁能源)、可持续发展目标9(工业、创新和基础设施)和可持续发展目标12(负责任的消费和生产)方面。此外,人工智能与物联网、计算和数字应用等关键数字技术密切相关。这些发现揭示了战略性地利用人工智能与其他技术相结合以提高可持续性绩效的重要性。现有的许多文献主要集中在环境方面,与之相反,这项研究表明,人工智能在解决面向社会的可持续发展目标方面具有未开发的潜力。它还指出了目前人工智能与沉浸式环境和接近技术集成方面的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Technovation
Technovation 管理科学-工程:工业
CiteScore
15.10
自引率
11.20%
发文量
208
审稿时长
91 days
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.
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