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Digital Transformation Strategies and AI Gen for Sustainable Business Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 1 July 2025 | Viewed by 479

Special Issue Editors


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Guest Editor
Science and Technology Department & REMIT & IJP, Portucalense University, Porto, Portugal
Interests: digital transformation; applied statistics; business
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Economics and Management, Universidade Portucalense, Porto, 4200-027, Portugal
Interests: Management and International Business.
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Science and Technology Department & REMIT & IJP, Portucalense University, 4200-072 Porto, Portugal
Interests: ICT in higher education; mobile learning; social business and digital transformation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue "Digital Transformation Strategies and AI Gen for Sustainable Business Development" delves into the pivotal role that digital transformation and artificial intelligence (AI) play in fostering sustainable business practices. This Special Issue explores the intersection of cutting-edge AI technologies and digital strategies, highlighting their potential to drive sustainability in various business sectors. Emphasis is placed on how these technologies can be leveraged to enhance efficiency, reduce environmental impact, and create innovative business models that prioritize long-term ecological balance. The articles within this Special Issue examine case studies, theoretical frameworks, and practical implementations of AI and digital transformation, providing a comprehensive overview of their benefits and challenges. Key topics include the integration of AI in supply chain management, the development of smart cities, the role of big data in sustainability, and the ethical considerations of AI deployment. This collection aims to provide valuable insights for academics, industry professionals, and policymakers interested in the sustainable evolution of businesses through advanced technological interventions.

Dr. Carla Santos Pereira
Dr. Carla Azevedo Lobo
Prof. Dr. Fernando Moreira
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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • digital transformation
  • artificial intelligence (AI)
  • sustainable business development
  • AI strategies
  • environmental impact
  • efficiency enhancement
  • smart cities
  • big data
  • ethical AI
  • supply chain management

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Published Papers

This special issue is now open for submission.
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