From Mind to Market: How Artificial Intelligence Reshapes Sustainable Business and Education
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Education and Approaches".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 140
Special Issue Editors
Interests: AI-enhanced education; e-commerce
Special Issue Information
Dear Colleagues,
The rapid evolution of artificial intelligence (AI) is transforming both industrial practices and educational systems, offering unprecedented opportunities to advance sustainability. AI-driven innovations in business operations, supply chain management, and consumer behavior analysis are enabling more efficient resource use and reduced environmental footprints. Simultaneously, AI is transforming education by personalizing learning experiences and fostering critical thinking about sustainability. This convergence presents a critical opportunity to explore how AI can bridge the gap between theoretical sustainability goals and practical market applications.
Understanding the role of AI in sustainable business and education is essential for addressing complex global challenges. Research in this area can uncover actionable insights for policymakers, educators, and business leaders to integrate AI responsibly, ensuring equitable benefits and mitigating risks.
This Special Issue invites interdisciplinary contributions that examine how AI reshapes in sustainable business and education. We welcome empirical and theoretical research, perspective papers, and review articles. Research areas may include (but are not limited to) the following:
- AI-driven sustainable business models and innovation pathways;
- Digital and intelligent transformation of enterprises to enhance sustainability performance;
- AI-driven tools for measuring, forecasting, and managing corporate sustainability performance;
- Digital transformation frameworks integrating AI to support sustainable operations and green competitiveness;
- Human–AI collaboration models that enhance sustainability-oriented decision-making and innovation capacity;
- AI-enhanced teaching, learning, and assessment approaches for sustainability education;
- AI-enhanced pedagogical models for sustainability education;
- AI-driven sustainable curriculum design;
- AI-enabled experiential and immersive learning;
- Case studies on AI integration in sustainable learning platforms.
Dr. Chih-Hung Yuan
Dr. Zhao-Hong Cheng
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
- artificial intelligence
- AI in sustainable business
- AI-driven sustainable business practices
- digital transformation
- AI in sustainable education
- human–AI collaboration
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