{"title":"Developing sustainable global value chain: role of multi-stakeholder collaborations and digitalization","authors":"Sina Mirzaye Shirkoohi, Muhammad Mohiuddin","doi":"10.1016/j.clscn.2025.100271","DOIUrl":"10.1016/j.clscn.2025.100271","url":null,"abstract":"<div><div>Global value chains (GVCs) channel roughly two-thirds of world trade, yet the efficiency they create is increasingly offset by climate risk, social inequity, and governance gaps. To clarify how digitalisation and multi-stakeholder collaboration might reverse this trajectory, we conducted a PRISMA-guided systematic review of 59 peer-reviewed articles published between 2014 and 2024, retrieved with a five-item quality checklist. Thematic coding, bibliometric mapping, and mechanism-focused process tracing reveal three persistent blind spots: scant causal evidence connecting specific digital tools—blockchain traceability, AI-driven analytics, industrial digital twins—to triple-bottom-line outcomes; under-specified governance mechanisms for scaling collaboration beyond tier-one suppliers; and weak integration of sustainability-linked finance with real-time traceability data. To bridge these gaps, we advance <strong>the conceptual model of the Enhanced Sustainable GVCs Framework</strong> in which digital infrastructures make social and environmental externalities auditable. At the same time, coalitions of buyers, suppliers, investors, regulators, and NGOs convert that visibility into collective action. The framework extends GVC governance and stakeholder theories by incorporating algorithmic coordination, radical visibility, and data-liquidity capabilities. Policy implications point to pairing mandatory due diligence laws with investments in open data standards; managerial guidance emphasises interoperable architectures and sector-wide standards alliances; and a future research agenda calls for quasi-experimental causal identification, cross-level data integration, and boundary-condition analysis. Together, these insights outline an evidence-based pathway for transforming GVCs from vectors of ecological externality into engines of inclusive, low-carbon growth.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100271"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Mokhtari-Moghadam , Pourya Pourhejazy , Xinan Yang , Abdella Salhi
{"title":"Multi-echelon open location-routing problem with time window and mixed last-mile delivery for optimizing food supply chains","authors":"Ali Mokhtari-Moghadam , Pourya Pourhejazy , Xinan Yang , Abdella Salhi","doi":"10.1016/j.clscn.2025.100266","DOIUrl":"10.1016/j.clscn.2025.100266","url":null,"abstract":"<div><div>The pandemic experience made online grocery shopping the new normal. The perishable and Fast-Moving Consumer Goods (FMCG) supply chain should be adjusted to extend their distribution capabilities and adapt to the new business environment. This study introduces the Three-Echelon Open Location-Routing Problem with Time Windows (3E-OLRPTW) with simultaneous home delivery and store pickup services for optimizing last-mile delivery operations. A Mixed-Integer Non-Linear Programming (MINLP) formulation and an improved metaheuristic, the Hybrid Genetic Algorithm (HGA), are developed using a customized local search method. The objective is to minimize total operating costs while accounting for the time window and capacity constraints. Numerical experiments are conducted to evaluate the performance of the developed solution method, comparing it with the improved hybrid variants of the Genetic Algorithm (GA), Artificial Bee Colony (ABC), Simulated Annealing (SA), and Imperialist Competitive Algorithm (ICA) algorithms. Statistical tests confirm that the HGA algorithm outperforms the benchmarks in terms of solution quality and convergence.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100266"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Enna Hirata , Varsolo Sunio , Russell G. Thompson , Greg Foliente
{"title":"Toward greener logistics: uncovering key enablers of the physical internet using AI-powered theme analysis","authors":"Enna Hirata , Varsolo Sunio , Russell G. Thompson , Greg Foliente","doi":"10.1016/j.clscn.2025.100263","DOIUrl":"10.1016/j.clscn.2025.100263","url":null,"abstract":"<div><div>Transitioning to a zero-carbon, sustainable logistics ecosystem requires a fundamental shift in how physical, digital, and organizational systems interact. The Physical Internet (PI) presents a transformative vision for logistics and supply chain management by providing a blueprint for decarbonized, circular, and resilient operations. However, the complex, interdisciplinary nature of its knowledge base presents challenges for coordinated global implementation. This study introduces a dual-model natural language processing (NLP) approach combining transformer-based topic modeling (BERTopic) with maximal marginal relevance (MMR) and generative pretrained transformer (GPT) techniques. This hybrid approach enables the extraction and synthesis of key research themes from over 2600 scientific publications on PI. Thematic analysis revealed eight critical domains, ranging from smart infrastructure and energy systems to cybersecurity and governance that are foundational to PI’s sustainable development and adoption. Furthermore, we evaluated the alignment of these themes with the PI roadmaps and the UN sustainable development goals (SDGs), especially SDG 9 (Industry, Innovation and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action). Results highlight the importance of interoperability, digital twin technologies, renewable energy integration, and secure data exchange for achieving greener and more adaptive logistics networks. This work provides a scalable, data-driven methodology for strategic decision-making and knowledge synthesis, thereby supporting the sustainable transformation of logistics and supply chains.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100263"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pranto Chakrabarty , Sanjoy Kumar Paul , Andrea Trianni , Suvash C. Saha
{"title":"Designing and long-term planning for household hydrogen supply chain in Australia","authors":"Pranto Chakrabarty , Sanjoy Kumar Paul , Andrea Trianni , Suvash C. Saha","doi":"10.1016/j.clscn.2025.100283","DOIUrl":"10.1016/j.clscn.2025.100283","url":null,"abstract":"<div><div>This study presents the development of the long-term Household Hydrogen Supply Chain (HHSC) model, aimed at supporting the decarbonisation of household energy consumption. Structured across three strategic phases: foundation, expansion, and maturation, the model facilitates the systematic phase-out of liquefied petroleum gas (LPG) by 2045 and natural gas (NG) by 2080. Employing demand estimation methodologies grounded in historical data and exponential decay functions, the study forecasts long-term hydrogen adoption trajectories and allocates regional demand to optimise infrastructure placement. A network optimisation model identifies the optimal locations and capacities of national, regional, and local distribution centres (NDCs, RDCs, and LDCs). This staged development ensures operational scalability, geographic equity, and financial viability. A key finding is the substantial increase in profitability from $479 million in 2026 to $88.26 billion by 2090, driven by infrastructure growth and increasing hydrogen demand. Sensitivity analyses indicate that the adoption during the mid years (2040–2060) is particularly vulnerable to cost fluctuations. The model supports net-zero 2050 goals and aligns with several Sustainable Development Goals (SDGs), including SDGs 7, 9, and 13. While the HHSC provides a structured pathway for long-term hydrogen transition, future research should focus on enhancing the resilience of the HHSC by incorporating real-time data integration, assessing vulnerability to supply chain disruptions, and developing risk mitigation strategies to ensure continuity and scalability in hydrogen delivery under uncertain operating conditions.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100283"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rafael Arevalo-Ascanio , Annelies De Meyer , Milena Janjevic , Roel Gevaers , Ruben Guisson , Wouter Dewulf
{"title":"A strategic assessment of first-mile post-consumer textile collection strategies","authors":"Rafael Arevalo-Ascanio , Annelies De Meyer , Milena Janjevic , Roel Gevaers , Ruben Guisson , Wouter Dewulf","doi":"10.1016/j.clscn.2025.100273","DOIUrl":"10.1016/j.clscn.2025.100273","url":null,"abstract":"<div><div>The study of traditional supply chains has evolved to incorporate reverse logistics into closed-loop supply chains in the pursuit of sustainability. The recovery of used materials at the consumer level involves first-mile logistics operations for collection and transport to sorting and recycling centres. In the case of post-consumer materials, multiple collection strategies with distinct challenges may be implemented, alongside the critical role of consumer participation, an aspect that has not been sufficiently modelled. This study proposes an assessment of three collection strategies for post-consumer textiles: collection via outdoor containers, door-to-door collection, and collection through local stores. In some of these strategies, consumer mobilisation to drop off textiles is a key component. Through a case study in Antwerp, Belgium, this research evaluates the costs, emissions, and external costs of transport, as well as the effects of consumer behaviour on modal share and drop-off frequency. The results indicate that collection via dedicated containers is the most economically, environmentally, and socially efficient option in total terms. Door-to-door collection is found to be the most costly and polluting strategy due to its transport intensity. In contrast, collection in local stores yields the best indicators per tonne of reusable textiles. This outcome highlights the strong influence of material quality on the overall performance of collection strategies. As a direction for future research, the analysis of consumer willingness to participate is proposed, in order to rebalance the performance assessment of more convenient strategies.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100273"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahmoud Abdulhadi Alabdali , Muhammad Zafar Yaqub , Josef Windsperger
{"title":"Algorithmic management and green technologies: enhancing supply chain resilience through transformation","authors":"Mahmoud Abdulhadi Alabdali , Muhammad Zafar Yaqub , Josef Windsperger","doi":"10.1016/j.clscn.2025.100281","DOIUrl":"10.1016/j.clscn.2025.100281","url":null,"abstract":"<div><div>Contemporary supply chains face unprecedented pressures to become both sustainable and resilient as digital transformation and environmental concerns intensify. However, organizations often struggle to integrate advanced digital tools with green practices to enhance supply chain adaptability and performance. This study was conducted to address this gap by examining how algorithmic management, green disruptive technologies, and green digital absorptive capacity interact to drive green digital supply chain transformation and resilience. Using partial least squares structural equation modeling on survey responses from 324 supply chain and technology professionals in Saudi Arabia, this study reveals significant direct and serial mediation effects among the study’s constructs. The results demonstrate that green digital absorptive capacity mediates the impact of algorithmic management on both digital transformation and supply chain resilience, while green disruptive technologies and absorptive capacity together serially mediate these links. These findings have practical implications for companies striving to improve data throughput and real-time responsiveness, key factors in staying competitive amid volatile markets and environmental regulations. By strategically investing in green disruptive technologies and building strong absorptive capacities, organizations can achieve more agile, transparent, and robust supply chains. Theoretically, the study advances understanding of how digital and green initiatives synergistically foster resilience, providing actionable insights for both practitioners and scholars seeking to navigate and shape the future of sustainable supply chains.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100281"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pritidipto Paul Chowdhury, Mohammad Muhshin Aziz Khan, Ahmed Sayem, Md Abidur Rahman Asif, Akash Roy
{"title":"Assessment of organizations’ maturity towards circular economy practice in manufacturing industries: Evidence from a developing economy","authors":"Pritidipto Paul Chowdhury, Mohammad Muhshin Aziz Khan, Ahmed Sayem, Md Abidur Rahman Asif, Akash Roy","doi":"10.1016/j.clscn.2025.100286","DOIUrl":"10.1016/j.clscn.2025.100286","url":null,"abstract":"<div><div>Circular Economy (CE) is emerging as a potential solution to ongoing global environmental and economic issues, particularly for the manufacturing industries around the world. A pertinent maturity model is required for evaluating and guiding them toward the implementation of circular practices. This study intends to adapt a reference maturity model to make it suitable for the manufacturing industries and assess the status of circular practices of the manufacturing organizations of a developing economy like Bangladesh. This study analyzed the relative importance of dimensions and associated activities, identified by literature review and experts’ opinions, using Analytic Hierarchy Process (AHP) model. The findings show that <em>Value Creation</em> dimension is significant to the explanation of CE maturity status, in which ‘R-related activities’ exhibit the<!--> <!-->most crucial effect. Furthermore, it examines the CE maturity status of the<!--> <!-->manufacturing sector in the developing economy through a multi-level fuzzy comprehensive evaluation technique. The data indicate that approximately 51% of the studied industries are still in the initial levels of circular transition. They have just started to either comprehend the importance or adopt pilot projects to judge the potential of implementing circular practices within their value chain. In contrast, remaining industries surpassed this threshold level. In addition, <em>Explorative</em> was the most frequently obtained level among the studied industries. Within this scope, the paper urges the decision-makers to take CE practice on board as a strategic problem in managerial decision-making. That would not only improve the overall status, but it would also benefit the economy and society.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100286"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sharing, technology, and resilience in agricultural SMEs: pathways to sustainable supply chains under VUCA conditions","authors":"Konpapha Jantapoon, Krittapha Saenchaiyathon","doi":"10.1016/j.clscn.2025.100285","DOIUrl":"10.1016/j.clscn.2025.100285","url":null,"abstract":"<div><div>This study examines the way in which information sharing, technology implementation, and supply chain resilience (SCR) support sustainable supply chain management (SSCM) under volatile, uncertain, complex, and ambiguous (VUCA) conditions in agricultural SMEs. The structural model, which utilizes data from 756 agricultural businesses across five northern Thai provinces, explains 65.7 % of the variance in SCR and 71.3 % of the variance in SSCM. Results show that the implementation of technology improves SCR by 44.1 % and information sharing increases SCR by 42.2 %. Additionally, SCR confirms its essential function in SSCM by strongly promoting sustainability outcomes (β = 0.695, p < 0.001). This link is negatively moderated by VUCA conditions, though, since high VUCA intensity reduces SCR’s sustainability efficacy by 73.6 %. According to these results, although robust resilience (stability during disruptions) and adaptive resilience (responsiveness to changes in the business environment) approaches are essential, they must be supplemented with context-specific dynamic skills during extreme volatility. For agricultural SMEs with limited resources, the study offers practical insights that help managers and policymakers create resilience-driven sustainability strategies suited to unstable conditions.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100285"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fleet deployment and freight allocation for cleaner maritime logistics under demand uncertainty","authors":"Xiuwen Wang, Lu Zhen","doi":"10.1016/j.clscn.2025.100269","DOIUrl":"10.1016/j.clscn.2025.100269","url":null,"abstract":"<div><div>Maritime shipping accounts for the majority of global trade but remains one of the largest contributors to greenhouse gas emissions. In response to increasingly stringent environmental regulations, ship operators are adopting various green technologies, including scrubber-equipped vessels, dual-fuel retrofitted vessels, and biofuel single-fuel vessels, each with distinct implications for cost, capacity, and environmental performance. At the same time, shipping demand is subject to considerable uncertainty due to volatile trade flows, geopolitical shocks, and supply chain disruptions. This paper addresses the problem of fleet deployment and freight allocation for cleaner maritime logistics under demand uncertainty. We develop a two-stage stochastic programming model, where first-stage decisions determine the deployment of heterogeneous green vessels on network arcs before demand is realized, and second-stage recourse decisions allocate freight flows through predefined transportation plans after demand scenarios are observed. The objective aims to minimize the total expected cost, consisting of vessel deployment costs and shipping costs, while ensuring full demand satisfaction and compliance with capacity constraints. To evaluate model performance, we design a series of computational experiments that reflect the characteristics of trunk maritime shipping networks. Results demonstrate the tractability of the model for small- to large-scale cases, reveal the trade-offs among different green vessel types. The study contributes to the literature on sustainable shipping optimization and provides practical guidance for the design of cleaner maritime logistics networks under uncertainty.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"17 ","pages":"Article 100269"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}