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Digital Transformation in Sustainable Development: The Role of Artificial Intelligence in Global Governance

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 30 September 2026 | Viewed by 1300

Special Issue Editors


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Guest Editor
School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: artificial intelligence; intelligent systems; high-order complex networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
International Business School, Beijing Foreign Studies University, Beijing 100089, China
Interests: international business: social computation and global governance; digital economy and green economy; artificial intelligence and business analytics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: smart economy and innovation management; digital trade and network science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The emergence of new technologies has advanced sustainable development into a new stage. Digital transformation has ushered in an era of smart environmental governance, where AI is applied to enhance energy efficiency and reduce pollution, supporting further progress in sustainability. At the same time, AI is driving profound socioeconomic transformations that broaden our understanding of sustainable development. In addition to the efficient use of natural resources, sustainability accords greater attention to human-oriented factors, emphasizing the role of technology in advancing public well-being. Furthermore, to address global challenges, sustainable development should be promoted through global governance, with coordination across energy, environment, ecology, and health, which are important for the future of society. By strengthening knowledge linkages and regional cooperation, AI creates new opportunities for sustainability governance. Therefore, given the rapid pace of digital transformation and its socioeconomic impacts, examining the role of AI in advancing global governance has become essential.

In light of these concerns, for this Special Issue, we invite studies on the role of AI in driving digital transformation for sustainable development, offering new insights for global governance towards broader sustainability. We expect that the contributions will highlight managerial implications to promote sustainable development within digital transformation, as well as offer practical guidance for the general public engaged in and benefiting from technology-driven AI advancement.

Topics of interest include, but are not limited to, the following:

  • Digital transformation, green innovation, and smart technology;
  • Artificial intelligence in global governance and sustainable development;
  • Smart cities and sustainable development of urban economy;
  • Environment, health, and data science;
  • Knowledge network of artificial intelligence and global ESG;
  • Business policy of artificial intelligence and sustainable development.

Prof. Dr. Peng Zhu
Prof. Dr. Da Huo
Prof. Dr. Yan Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable development
  • digital transformation
  • artificial intelligence
  • global governance

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Published Papers (1 paper)

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Research

34 pages, 7034 KB  
Article
The Impact of Digitalized All-Electric Aircraft on the Sustainable Development of the Aviation Industry: A Dynamic Differential Game Study Considering Delayed Effects
by Lijuan Tong, Qingyin Wei, Xiaoni Wen, Kang Wang and Jiahui Ding
Sustainability 2025, 17(22), 10288; https://doi.org/10.3390/su172210288 - 17 Nov 2025
Viewed by 817
Abstract
To meet the sustainable development goals of the aviation industry, promoting digitalized all-electric aircraft (AEA) is a critical path. However, during the dynamic popularization process of digitalized AEA, the interests among manufacturers, airlines, and governments vary, coupled with a notable time delay in [...] Read more.
To meet the sustainable development goals of the aviation industry, promoting digitalized all-electric aircraft (AEA) is a critical path. However, during the dynamic popularization process of digitalized AEA, the interests among manufacturers, airlines, and governments vary, coupled with a notable time delay in digitalized technological R&D and market promotion. Therefore, this study establishes differential game models for popularizing AEA and investigates dynamic optimal strategies of potential benefits, levels of digitalized R&D, consumer preferences, and market demand, under three game modes: Nash non-cooperative, cost-sharing, and collaborative cooperation. The research finds that: (1) When the promotion cost of AEA is lower than a certain threshold, the cost-sharing model can effectively enhance digital R&D. (2) In the case of ignoring time lag, the initial value of the battery life level and consumer preference becomes the decisive factor that significantly affects its dynamic evolution trajectory. Under the cost-sharing model, the battery life level and consumer preference reached 107.13 and 15.26, respectively. This is significantly higher than the collaborative model and the NASH non-cooperative model. (3) When the delay effect exceeds the thresholds of 4.58 and 5.49, respectively, the Nash non-cooperative model becomes the most effective promotion model. This paper provides an important decision-making reference for promoting the digital transformation and sustainable development of the aviation industry. Full article
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