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

Deadline for manuscript submissions: 20 June 2026 | Viewed by 11709

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Special Issue Editors

Dr. Giulio Marcucci

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Guest Editor

Faculty of Technology and Innovation Sciences, Universitas Mercatorum, 00185 Rome, Italy
Interests: supply chain resilience; sustainable supply chain
Special Issues, Collections and Topics in MDPI journals

Dr. Raquel Sanchis

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Guest Editor

Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, 46022 Valencia, Spain
Interests: supply chain resilience; sustainable supply chain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Climate change, resource scarcity, and social responsibility challenges have intensified the emphasis on sustainable supply chain management and logistics. Conventional supply chains are under heightened examination due to their substantial resource usage, emissions, and ecological effects. All of this is leading to a transition towards models that emphasize sustainable practices. This Special Issue aims at enhancing both theoretical and practical comprehension of sustainable supply chain management in relation to sustainable development and operations. In accordance with the journal's focus, it aims to connect academic research with industry practices, investigating how sustainable supply chain management can improve competitiveness while reducing and minimizing ecological impacts. This Issue invites submissions that demonstrate interdisciplinary research, linking environmental science, operations research, and economics to tackle the complex challenges in sustainable logistics and supply chains.

Specific topics of the Special Issue include, but are not limited to, the following:

Green and circular supply chains; digitalization and sustainable supply chains; risk management and resilience in sustainable supply chain management.

We look forward to receiving your contributions.

Dr. Giulio Marcucci
Dr. Raquel Sanchis
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

green and circular supply chains
digitalization and sustainable supply chains
risk management and resilience in sustainable supply chain management

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Published Papers (5 papers)

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Research

23 pages, 4397 KB

Open AccessArticle

Optimization of Last-Mile Logistics Delivery Routes for Ground-Vehicle and Drone Parallel Distribution from Pre-Warehouses Considering Customer Priorities

by Hui Wang, Zuning Zhang, Manzhi Liu, Lingxuan Liu, Zhongjin Wang, Shuyu Long, Li Huang, Xiaohan Liu, Jie Tian and Sen Yan

Sustainability 2026, 18(6), 2679; https://doi.org/10.3390/su18062679 - 10 Mar 2026

Viewed by 546

Abstract

Pre-warehouse last-mile delivery is currently constrained by service radiuses and intense delivery pressures. Meanwhile, national policies are increasingly promoting a transition toward green logistics. By undertaking deliveries to remote or dispersed locations, UAVs can streamline truck routes and minimize the fuel consumption and emissions typically exacerbated by urban traffic congestion. Accordingly, this paper establishes a Ground-Vehicle and Drone Parallel Distribution Model with Priorities (PW-PDSVRP-P), quantifying customer priorities via delivery delay functions to align efficiency with social service requirements. A master–slave hybrid Large Neighborhood Search algorithm is developed and validated through a Hema Fresh case study in Xuzhou. Results define a clear “economic advantage zone” for drone adoption and reveal an adaptive assignment strategy: drones serve as mass-delivery tools in low-cost scenarios but act as “surgical tools” to prune inefficient truck segments in high-cost environments. These findings confirm that air–ground collaboration fosters a more resilient urban distribution system by balancing operational costs with environmental and social sustainability goals. Full article

(This article belongs to the Special Issue Advances in Sustainable Supply Chain Management and Logistics)

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27 pages, 2832 KB

Open AccessArticle

How to Optimize Data Sharing in Logistics Enterprises: Analysis of Collaborative Governance Model Based on Evolutionary Game Theory

by Tongxin Pei, Xu Lian and Wensheng Wang

Sustainability 2025, 17(24), 11064; https://doi.org/10.3390/su172411064 - 10 Dec 2025

Viewed by 595

Abstract

Data, as a key production factor in modern logistics systems, plays a crucial role in enhancing industry efficiency and promoting supply chain coordination. To address challenges in data sharing among logistics enterprises—such as conflicts of interest, unequal risk allocation, and insufficient security governance—this study develops a tripartite evolutionary game model involving logistics enterprises, data partners, and supervisory institutions. The payoff matrix incorporates prospect theory to account for risk attitudes, loss–gain perceptions, and subjective judgments. Stable equilibrium points are derived using the Jacobian matrix, and numerical simulations examine strategic evolution under varying parameters. Results indicate that increased returns for data partners reduce their motivation to provide truthful data, while higher enterprise profits suppress logistics enterprises’ willingness to share. Compensation levels have limited impact, whereas excessively high supervision subsidies weaken participation and oversight across all parties. Stronger penalties and higher-level enforcement significantly promote compliance and positive system evolution. Enterprise investment positively correlates with data-sharing behavior, and risk preferences of all parties accelerate convergence to stable equilibria. Conversely, excessively low risk preference in supervisory institutions may lead to an unstable “sharing–false data–non-regulation” pattern. These findings provide theoretical support and policy guidance for designing a dynamic governance mechanism that balances incentives, constraints, and collaboration, thereby facilitating secure and effective logistics data sharing and informing the development of the data factor market. Full article

(This article belongs to the Special Issue Advances in Sustainable Supply Chain Management and Logistics)

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28 pages, 1331 KB

Open AccessArticle

How Can Digital Transformation Drive a Green Future?—Intermediary Mechanisms for Supply Chain Innovation: Evidence from Chinese A-Share Listed Companies

by Lingling Tan, Kangjie Li and Manli Liu

Sustainability 2025, 17(18), 8298; https://doi.org/10.3390/su17188298 - 16 Sep 2025

Viewed by 2286

Abstract

Against the backdrop of stricter global carbon emission policies, corporate green transition performance has become a key driver for advancing sustainable development. Based on data from A-share listed companies in China from 2015 to 2022, this study empirically examines the mechanisms by which digital transformation impacts corporate green transformation performance. The findings reveal that (1) Digital transformation significantly promotes corporate green transformation, with supply chain innovation serving as a critical mediating factor; (2) The environmental awareness of senior executives and the strategic proactiveness of enterprises exert a significant moderating effect on this relationship. Enhanced environmental awareness among executives drives enterprises to leverage digital tools for green transformation; conversely, excessive strategic proactiveness exerts a constraining influenc; (3) Heterogeneity analysis indicates that firm-specific characteristics, industry attributes, and regional disparities produce differentiated effects. State-owned enterprises, benefiting from their policy support and resource advantages, are more likely to advance green innovation through enterprise digital transformation. Non-high-tech industries tend to optimize production processes, control pollution, and improve operational efficiency through digitalization. Moreover, in regions with stringent environmental regulations, the positive impact of digitalization on both innovation performance and environmental outcomes becomes particularly pronounced. This study enriches theoretical understanding of the integration between digitalization and greening, and by uncovering the pivotal role of supply chain innovation provides practical guidance and policy insights for enterprises advancing sustainable development. Full article

(This article belongs to the Special Issue Advances in Sustainable Supply Chain Management and Logistics)

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18 pages, 1429 KB

Open AccessArticle

Blockchain-Based Risk Management in Cross-Border Data Supply Chains: A Comparative Analysis of Alibaba and Infosys

by Snovia Naseem and Tang Yong

Sustainability 2025, 17(17), 7704; https://doi.org/10.3390/su17177704 - 27 Aug 2025

Cited by 2 | Viewed by 4300

Abstract

Cross-border data flows are critical to the operation of global supply chains, particularly for digital enterprises such as Alibaba and Infosys. However, these flows introduce substantial challenges related to digital supply chain risk and cybersecurity management. This study examines how blockchain technology addresses these challenges within the operational contexts of Alibaba and Infosys. Unlike earlier research that often focused on sector-specific implementations or conceptual models, this study positions its findings within broader empirical evidence on blockchain-enabled supply chain governance, offering a comparative perspective that has been largely absent in prior work. Using an explanatory mixed-methods approach, the research combines thematic analysis of 85 peer-reviewed studies with in-depth case evaluations of the two firms. NVivo-based qualitative coding was applied to supporting sources, including GDPR audit reports, blockchain transaction records, and company disclosures. The findings demonstrate that blockchain adoption reduces cybersecurity breaches, enhances data integrity, and improves supply chain resilience. The study further shows how blockchain integration strengthens digital collaboration and regulatory alignment, enabling secure and uninterrupted data flows that support operational continuity and innovation. Overall, the research offers practical insights for digital enterprises and contributes to a deeper understanding of blockchain’s strategic role in cross-border data risk management. Full article

(This article belongs to the Special Issue Advances in Sustainable Supply Chain Management and Logistics)

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21 pages, 470 KB

Open AccessArticle

Impact of Supply Chain Risk Management on Product Innovation Performance of Omani SMEs: Synergetic Moderation of Technological Turbulence and Entrepreneurial Networking

by Ali Mohsin Salim Ba Awain, Muzaffar Asad, Mohammed Ali Bait Ali Sulaiman, Muhammad Uzair Asif and Khalid Salim Al Shanfari

Sustainability 2025, 17(7), 2903; https://doi.org/10.3390/su17072903 - 25 Mar 2025

Cited by 22 | Viewed by 3175

Abstract

Considering the continuous diversity of the supply chain and the increasing risks involved, small and medium enterprises are overly concerned about managing related risks because these firms hardly have the capacity to bear major shocks. Furthermore, considering the resource scarcity of these firms, the moderating roles of entrepreneurial networking, and the current pace of change in technology, the moderating effect of technological turbulence has also been added to the research. Quantitative methods have been applied in this research. The data have been collected using adapted questionnaires from prior studies. A purposive sampling technique has been applied to collect the data. A sample of 99 small and medium enterprises was chosen, and their owners and managers were chosen as representatives. The framework has been evaluated using Structural equation modelling with the help of SMART PLS-3. The findings drawn from the analysis of the empirical data confirmed that supply chain risk management holds a significant impact on product innovation performance and sustainability in SMEs. Additionally, entrepreneurial networking and technological turbulence both hold a significant direct impact on product innovation performance and sustainability as well. Moreover, entrepreneurial networking and technological turbulence hold a significant moderating effect on the relationship between supply chain risk management and product innovation performance. Full article

(This article belongs to the Special Issue Advances in Sustainable Supply Chain Management and Logistics)

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