数字可持续发展的人工智能:对特定领域研究和未来方向的洞察

IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Shan L. Pan , Rohit Nishant
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引用次数: 11

摘要

最近的研究呼吁对数字可持续发展研究采取行动,这可能有助于实现联合国可持续发展目标(SDG)。在这篇评论文章中,我们特别关注人工智能(AI)作为一种可以帮助实现数字可持续性的技术。我们根据过去的文献确定了与人工智能相关的六个维度:语义构建、供应链中参与者之间的关系、绿色创意技能、指标、战略和人工智能工具改进。我们对这六个维度的几个命题进行了概念化,强调了与人工智能相关的数字可持续性的细微差别,为未来的研究提供了明确的方向。
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 for digital sustainability: An insight into domain-specific research and future directions

Recent research call for action on digital sustainability research could potentially contribute to achieving United Nations (UN) Sustainable Development Goals (SDG). In this opinion piece, we specifically focus on artificial intelligence (AI) as a technology that could help achieve digital sustainability. We identify six dimensions related to AI grounded in past literature: sensemaking, relationships among actors in the supply chain, green creativity skills, metrics, strategies, and AI tool improvement. We conceptualize several propositions for these six dimensions, highlighting the nuances associated with AI for digital sustainability to provide clear directions for future research.

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来源期刊
International Journal of Information Management
International Journal of Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
53.10
自引率
6.20%
发文量
111
审稿时长
24 days
期刊介绍: The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include: Comprehensive Coverage: IJIM keeps readers informed with major papers, reports, and reviews. Topical Relevance: The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues. Focus on Quality: IJIM prioritizes high-quality papers that address contemporary issues in information management.
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