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Sustainable Digital Transformation: Pathways to Resilient Enterprises, Regions, and Nations

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 761

Special Issue Editor


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Guest Editor
Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Saulėtekio al. 11-618, LT-10223 Vilnius, Lithuania
Interests: ICT development; ICT adaptation; knowledge driven innovations; virtual teams; remote work; telework; e-logistic; e-government; e-behavior
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The twin transition—digital and green—holds transformative potential for industrial value chains, enabling significant reductions in waste and pollution. As organizations embrace digitalization and sustainability, these shifts become critical not only for environmental protection but also for business innovation and the advancement of circular economy principles. However, the transition is complex and fraught with uncertainty, requiring socially responsible, adaptive, and innovative management approaches.This Special Issue invites scholarly contributions that explore the challenges and opportunities of the digital transformation. We seek research that proposes novel frameworks, classification systems, evaluation methodologies, and decision-making models to support the evolution of business models toward sustainability. While Horizon Europe (2021–2027) prioritizes technologies such as advanced manufacturing, materials, micro/nano-electronics, photonics, AI, and connectivity, the human, organizational, and societal dimensions of transformation remain underexplored.We welcome studies in areas including, but not limited to, innovative technologies, social innovation, circular economy solutions, green business transformation, smart home technologies, Industry 5.0, and evolving societal behaviors and needs. These topics contribute to building a resilient and sustainable future. Contributions may include comprehensive reviews, empirical research, or case studies.All submissions will undergo rigorous peer review to ensure high-quality dissemination of findings that can inform resilient and sustainable development across enterprises, regions, and nations.

Prof. Dr. Vida Davidavičienė
Guest Editor

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

  • digital transformation
  • digital economy
  • sustainable innovation
  • resilient enterprises
  • changing work models
  • remote work
  • value chain transformation
  • green transition
  • digital sustainability
  • green business models
  • circular economy
  • Industry 5.0

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Published Papers (1 paper)

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Research

23 pages, 1296 KB  
Article
Sustainable Bridge Construction Decisions Using Fuzzy MCDM: A Comprehensive Comparison of AHP–VIKOR, BWM–VIKOR, and TOPSIS
by Alaa ElMarkaby and Ahmed Elyamany
Sustainability 2026, 18(8), 4013; https://doi.org/10.3390/su18084013 - 17 Apr 2026
Viewed by 299
Abstract
The selection of bridge construction systems significantly influences the sustainability of infrastructure projects, encompassing both economic and environmental dimensions. This study presents a comparative assessment of three hybrid fuzzy Multi-Criteria Decision-Making (MCDM) techniques, Fuzzy AHP–VIKOR, Fuzzy TOPSIS, and Fuzzy BWM–VIKOR, for choosing optimum [...] Read more.
The selection of bridge construction systems significantly influences the sustainability of infrastructure projects, encompassing both economic and environmental dimensions. This study presents a comparative assessment of three hybrid fuzzy Multi-Criteria Decision-Making (MCDM) techniques, Fuzzy AHP–VIKOR, Fuzzy TOPSIS, and Fuzzy BWM–VIKOR, for choosing optimum bridge construction system during the preliminary design phases. Each method was applied consistently, integrating project-specific criteria and construction alternatives. The comparison extended beyond the final rankings to assess computational efficiency, sensitivity to input variations, ease of implementation, and stability. Expert opinions were gathered using semi-structured interviews and questionnaires to reflect the practical circumstances of bridge engineering in the field. The results show distinct strengths and trade-offs among the techniques, offering valuable insights for researchers and industry professionals alike. This study contributes to the knowledge base by explaining how different fuzzy MCDM methods are used in real-world bridge construction projects. These outcomes improve the methodological rigor of decision science and support more robust decision-making frameworks in bridge engineering. Full article
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