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Sustainable Digital Transformation for Inclusive Growth: Green Transition Strategies

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: 31 March 2027 | Viewed by 531

Special Issue Editors


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Guest Editor
Cardiff School of Management, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
Interests: sustainability; inclusive growth; green strategies

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Guest Editor
Greenwich Business School, University of Greenwich, Park Row, London SE10 9LS, UK
Interests: circular economy; digital innovation; supply chain sustainability

Special Issue Information

Dear Colleagues,

In an era marked by urgent climate challenges and accelerating technological disruption, the intersection of sustainability, digitalisation, and inclusive economic development presents critical opportunities and complex trade-offs. This Special Issue seeks to advance scholarly and practical understanding of how digital transformation can be harnessed to drive regional inclusive economic growth while ensuring a just and ecologically responsible green transition. We invite interdisciplinary research that integrates natural resource economics, environmental valuation, data analytics, lean sustainability, and green transition strategies to address the complex relationships between digitalisation, sustainability, and regional development.

Digital technologies promise efficiency and innovation, yet carry significant environmental costs, from mineral extraction for hardware to data centre energy demands and e-waste. Simultaneously, digital tools offer unprecedented opportunities to optimise resource use, monitor ecosystem services, and accelerate circular economic models. Green transition strategies, policy mixes, investment frameworks, and institutional reforms for low-carbon, resource-efficient pathways provide essential context for situating digital transformation. Lean sustainability applies waste reduction and continuous improvement principles to minimise ecological footprints while maximising value. Data analytics, including machine learning and spatial analysis, enables sophisticated modelling of ecological-economic trade-offs. Environmental valuation methods, enhanced by digital data streams, allow meaningful integration of ecological considerations into decision-making. Supply chains serve as critical leverage points for embedding sustainability, tracing resource flows, and enabling circular economy transitions. Regional inequalities risk exacerbation without deliberate strategies addressing resource access, benefit distribution, data capacity, and differential environmental impacts on vulnerable communities.

We welcome theoretical, empirical, and policy-oriented contributions that address, but are not limited to, the following themes:

  • Green transition strategies aligning digital transformation with decarbonisation, biodiversity, and circular economy goals at regional scales
  • Lean sustainability principles in digital system design and infrastructure operations
  • Data analytics applications in sustainable agriculture, water management, extractive industries, ecosystem monitoring, and low-carbon logistics
  • Environmental valuation methodologies using high-resolution digital data for regional planning
  • Spatial analytics for natural resource allocation and environmental compliance monitoring
  • Lean-digital synergies enabling circular economies and industrial symbiosis
  • Sustainable supply chain management in the digital age, supply chain resilience and regional vulnerability
  • Governance models steering digitalisation toward sustainable resource use and inclusive access within transition frameworks
  • Just transition in resource-dependent regions, addressing digital divides and equitable benefit-sharing
  • Lifecycle analysis and environmental footprints of digital infrastructure
  • Metrics and predictive modelling for evaluating sustainable digital transformation outcomes
  • Regional case studies where digital transformation, resource management, and green transitions intersect
  • Sectoral analyses of digital green transitions in energy, mining, agriculture, manufacturing, and transportation
  • Behavioural and participatory dimensions of green transitions in digitally mediated environments
  • Financing green transitions through climate fintech and digital-green infrastructure investment
  • Trade-offs between digitalisation and sustainability, including rebound effects and resource competition

We encourage diverse disciplinary perspectives, including natural resource economics, environmental economics, data science, circular economy, innovation studies, economic geography, information systems, operations management, and transition studies. High-quality research articles, reviews, and policy analyses are invited.

We look forward to receiving your contributions.

Dr. Khine S. Kyaw
Dr. Zheng Liu
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 digital transformation
  • inclusive growth
  • natural resource economics
  • environmental valuation
  • green innovation
  • data analytics
  • lean sustainability
  • circular economy
  • digital economy
  • supply chain resilience
  • green transition strategies

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Published Papers (1 paper)

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Research

22 pages, 936 KB  
Article
Driving the Green Transition in the Digital Economy: How Leader Prosocial Motivation and Workplace Digitalization Shape Employee Green Innovation Intention
by Yue Sui, Xiaohu Zhou, Hui Zhang and Yucai Jia
Sustainability 2026, 18(9), 4600; https://doi.org/10.3390/su18094600 - 6 May 2026
Viewed by 252
Abstract
As organizations globally pursue the twin transitions of digitalization and sustainability, whether digital tools inherently facilitate green objectives remains a critical debate. Drawing on Social Information Processing (SIP) theory, this study develops an affective–cognitive dual-path model, examining how perceived leader prosocial motivation catalyzes [...] Read more.
As organizations globally pursue the twin transitions of digitalization and sustainability, whether digital tools inherently facilitate green objectives remains a critical debate. Drawing on Social Information Processing (SIP) theory, this study develops an affective–cognitive dual-path model, examining how perceived leader prosocial motivation catalyzes employees’ green innovation intention. Utilizing a mixed-methods design in China, we first conducted a scenario-based experiment (Study 1, N = 184) to establish internal validity, followed by a two-wave, multi-source field survey (Study 2, N = 428) across diverse industries to enhance ecological validity. Regression analyses confirm that perceived leader prosocial motivation positively relates to employees’ green innovation intentions. This relationship is mediated by green organizational identity and green mindfulness, underscoring the pivotal role of individual affective and cognitive factors in translating organizational green visions into employee innovation. Crucially, we reveal a critical signal interference effect: high workplace digitalization acts as a negative boundary condition that weakens the positive influence of leader motivation. Our findings highlight the necessity for leaders to cultivate and signal prosocial motivation to effectively inspire employees’ green innovation intentions. Furthermore, our study challenges the synergy myth of the twin transition. We provide critical insights for digital governance by revealing that excessive digital embedding can trigger cognitive overload and attention fragmentation among employees, ultimately stifling the organizational green transition. Full article
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