Cleaner Logistics and Supply Chain最新文献

{"title":"Smart packaging as a digital enabler for circularity in sustainable supply chains","authors":"Małgorzata Fiałkowska-Filipek ,&nbsp;Justina Karpavičė ,&nbsp;Promporn Wangwacharakul","doi":"10.1016/j.clscn.2026.100299","DOIUrl":"10.1016/j.clscn.2026.100299","url":null,"abstract":"<div><div>Transitioning from linear to circular packaging is critical for sustainable supply chains yet faces significant implementation challenges. This study investigates how Smart Packaging (SP) acts as a digital enabler to overcome these challenges and support the circular economy (CE) transition. Adopting an embedded case study approach, the research synthesizes empirical data from six Scandinavian manufacturers with expert insights from SP technology providers. The analysis identifies six core challenges hindering the adoption of circular packaging: material innovation resistance, supply chain redesign and complexity, financial uncertainties and cost implications of change, regulatory fragmentation and uncertainty, consumer resistance and behavior, and fragmented collaboration and stakeholder misalignment. The findings demonstrate that SP technologies address these hurdles by transforming packaging from passive containers into active and connected data interfaces. Specifically, SP facilitates the transition by enhancing end-to-end traceability, enabling data-driven compliance with emerging regulations, and facilitating information sharing between stakeholders. The study concludes that successful CE transition cannot rely on material innovation alone; it requires a parallel digital infrastructure and managerial systemic change. By reframing packaging as a dynamic boundary object, this research highlights how SP resolves trade-offs between logistics efficiency and circularity. Practically, SP is positioned as a strategic asset for regulatory resilience and compliance with mandates.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100299"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077808","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":"From transaction to partnership: Relational commitment as a moderator of collaborative interaction and SME supply chain resilience","authors":"Julien Bazile,&nbsp;Said Toumi,&nbsp;Zhan Su","doi":"10.1016/j.clscn.2026.100303","DOIUrl":"10.1016/j.clscn.2026.100303","url":null,"abstract":"<div><div>This article explores the conditions under which collaborative interaction (CI) enhances the supply chain resilience (SCR) of small and medium-sized enterprises (SMEs) in the context of systemic crises. Drawing on a survey of 150 Canadian manufacturing SMEs and using structural equation modelling (PLS-SEM), the study investigates the moderating role of relational commitment in the relationship between CI and SCR. CI is conceptualized through three dimensions—communication, cooperation, and integration—while relational commitment includes structural relational investment, transcendence of individual interests, and shared values.</div><div>Results show that communication and integration have significant positive effects on SCR, whereas cooperation does not. These findings suggest that in environments marked by uncertainty and limited resources, operational and informational mechanisms matter more than cooperative intent alone. The study also finds differentiated moderating effects depending on the form of relational commitment. Some relational configurations reinforce the impact of CI on SCR, whereas others inhibit it.</div><div>This research contributes to the literature by demonstrating that SCR in SMEs is not only a function of collaborative capabilities, but also of how these capabilities interact with deeper relational conditions to enable both SCR and sustainability. It challenges the assumption that CI is inherently beneficial, highlighting instead the contingent value of social capital. The article extends dynamic capabilities theory by introducing a relational perspective more attuned to SMEs’ structural vulnerabilities and the complexity of managing partnerships under systemic crisis.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100303"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395754","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":"Developing a framework of key performance indicators for Dhaka Metropolitan’s vegetable supply chain: a digitalization approach to sustainability","authors":"Muhommad Azizur Rahman ,&nbsp;Md. Zahidul Anam ,&nbsp;Md. Shahnewaz Bhuiyan ,&nbsp;Mozammel Mia ,&nbsp;Nusrat Hafiz ,&nbsp;Ibnat Tasrin","doi":"10.1016/j.clscn.2025.100293","DOIUrl":"10.1016/j.clscn.2025.100293","url":null,"abstract":"<div><div>The vegetable supply chain (VSC) in the Dhaka Metropolitan Area (DMA), an urban center of an emerging economy Bangladesh, faces challenges related to sustainability, efficiency, and digitalization. This study aims to develop a comprehensive framework of Key Performance Indicators (KPIs) to evaluate and improve the performance of the VSC from the perspective of digitalization-driven sustainability. Using a triangulation approach that includes a field survey among VSC stakeholders, literature review with expert validation, and an analysis of the regulatory policies, 19 critical KPIs were identified. Subsequently, the study applied Interpretive Structural Modeling (ISM), a multi-criteria decision making (MCDM) tool, to explore the interdependence among the KPIs and develop a hierarchical framework. Furthermore, the Matrice d’Impacts Croisés-Multiplication Appliquée et Classement (MICMAC) analysis categorized the KPIs into four groups based on their driving and dependence power. The results show that inter-organizational partnerships, followed by energy efficiency in logistics, compliance with food safety regulations, supply chain digital literacy, and transportation effectiveness, are the most significant KPIs driving the overall framework toward achieving environmental, economic, and social sustainability simultaneously. The findings further suggest that digital transformation (DT) can significantly enhance the performance of the developed KPI framework by increasing transparency, reducing waste, and promoting collaboration among stakeholders. This study provides policymakers, industry stakeholders, and researchers with a structured approach to leveraging digitalization for an efficient and resilient VSC in the Dhaka Metropolitan area.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100293"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147396433","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":"Conceptualizing sustainable leadership for the future of supply chains","authors":"Melissa Demartini ,&nbsp;Devika Kannan","doi":"10.1016/j.clscn.2026.100301","DOIUrl":"10.1016/j.clscn.2026.100301","url":null,"abstract":"<div><div>Sustainable leadership is a management approach that embraces environmental, social and financial aspects into decision making and focuses on long term perspective. This study explores sustainable leadership within the context of sustainable supply chains, which is a novel and infant field of research. Sustainable supply chains aim at minimizing environmental and social impacts while maintaining economic viability across all tiers of the network. Therefore, to improve the understanding of this field, a framework based on eight core elements is conceptualized to support scholars approaching and studying this topic. A qualitative literature review is performed to analyze the current state of research and develop the framework. The study also provides insight and key elements to shape sustainable leadership for supply chains by analyzing managerial levers and contextual factors. Finally, future research directions are presented, these include theoretical and methodological opportunities as well as emerging thematic area to guide scholars approaching this field.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100301"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147396434","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":"Driving the circular economy: How artificial intelligence could empower transportation and logistics companies to lead the transition","authors":"Alinda Kokkinou ,&nbsp;Ondrej Mitas","doi":"10.1016/j.clscn.2026.100300","DOIUrl":"10.1016/j.clscn.2026.100300","url":null,"abstract":"<div><h3>Purpose</h3><div>Artificial Intelligence (AI) has great potential to contribute to the operational, environmental, and social performance of supply chains. The purpose of this study is to examine the implications of AI adoption and implementation for the supply chains of logistics-intensive companies, with the aim of stimulating discussion on the future of transportation and logistics.</div></div><div><h3>Design/methodology/approach</h3><div>A systematic review of the literature, following the PRISMA protocol, was conducted to identify AI applications in supply chains. A distinction was made between logistics-intensive companies for which transportation and logistics are a supporting function, and transportation and logistics companies for which this is their main business model. We extrapolated from the existing literature to identify opportunities for digital transformation for transportation and logistics companies.</div></div><div><h3>Findings</h3><div>Of the 244 studies retained for analysis, the majority were review studies or focused on developing Machine Learning algorithms and models. The few articles documenting AI applications in supply chains focused on digitalization, neglecting opportunities for digital transformation. The study argues that the adoption of AI has the potential to negatively impact the current business model of transportation and logistics companies by (1) reducing the need for transportation and warehousing activities, and (2) increasing competition from other logistics-intensive companies that use AI to develop the capabilities to insource their transportation, warehousing, and other logistic activities.</div></div><div><h3>Originality</h3><div>The study illustrates how AI could create opportunities for digital transformation in transportation and logistics companies, enabling them to become orchestrators of the circular transition, and proposes a corresponding agenda for future research.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100300"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395756","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":"Circular supply chain and the circular economy: key criteria for green value creation","authors":"Abdelsalam Adam Hamid ,&nbsp;Akram Shaabani ,&nbsp;Nur Hazwani Karim ,&nbsp;Mohamed Battour","doi":"10.1016/j.clscn.2025.100291","DOIUrl":"10.1016/j.clscn.2025.100291","url":null,"abstract":"<div><div>The future of sustainable business practices lies in the transition towards integrating circular supply chains (CSC) and circular economy (CE). While this shift promises significant benefits, it also requires organizational transformation and a commitment to continuous learning and adaptation. To ensure a successful transition, it is crucial to understand the key factors that drive green value creation. This research intends to identify and prioritize the most important metrics for developing a green value chain that supports the CE and CSC. To address this challenge, the study introduces an innovative approach of the integration between hierarchical structure and fuzzy logic into the Best-Worst Method. A hierarchy fuzzy best-worst method (HFBWM) is proposed to more accurately capture expert judgements and rank most important criteria in developing green value creation. The applicability and validity of the proposed approach are demonstrated to five different circulars: supplier, product, packaging, logistics, and consumer. The findings reveal that in our model, packaging and supplier as part of early stage of the value chain are substantially crucial for establishing the foundation of green value chain. This study supports the integration of CE and CSC driven by important factors of the green value chain creation through reuse-oriented design, environmentally raw materials, and circular technologies.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100291"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791809","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":"A systematic risk assessment approach to develop a fuzzy bow-tie model for third-party collaboration supporting circular economy: Application to electronic industry","authors":"Jyoti Dhingra Darbari ,&nbsp;Shiwani Sharma ,&nbsp;Mark Christhian Barrueta Pinto ,&nbsp;Richard Daniel Cunyas Romero ,&nbsp;P.C. Jha","doi":"10.1016/j.clscn.2025.100292","DOIUrl":"10.1016/j.clscn.2025.100292","url":null,"abstract":"<div><div>Reverse Logistics (RL) plays a pivotal role in the Indian electronics industry as it enables products to be recovered, refurbished, recycled, and disposed of in an eco-friendly manner thus gradually bringing the sector to circular economy (CE) practices. In order to manage these intricate and resource-demanding RL processes effectively, manufacturers increasingly collaborate with third-party reverse logistics providers (3PRLPs). On the contrary, such partnerships are naturally subjected to numerous risks due to the inefficiencies in operations, the differences in behaviours, and the strategic uncertainties. Despite previous research having highlighted various risk factors in RL, there remains a distinct and unfilled gap when it comes to the systematic identification and interlinking of these risks with the corresponding mitigation barriers and the potential consequences of collaboration failure, especially in the Indian electronic industry. In order to fill this gap, the current study utilizes a fuzzy bow-tie (BT) model to identify, scrutinize, and map the key risks associated with 3PRLP collaboration to preventive and mitigative barriers along with the cascading consequences of failure. The novelty of this study is in the thorough and detailed mapping of the cause-barrier-consequence relationships which provides a complete and profound understanding of risk propagation in reverse supply chain (RSC) partnerships. The fuzzy BT model is particularly suitable for this purpose as it manages the uncertainty and subjectivity that come with expert-based evaluations while enabling quantitative estimation of risk probabilities. The findings of the study highlight the pressing necessity for proactive and organized risk governance mechanisms to ensure continuous and resilient partnerships in RL. The analysis shows that the absence of timely risk management measures causes 6% probability of failure during collaboration with 3PRLPs. Moreover, if this failure takes place, there is a strong possibility of minor operational hindrances, and lack of responsiveness from RSC actors; a moderate possibility of productivity and revenue loss, and loss of customers and reputation; and a low possibility of major RL disruptions or total financial burden on the manufacturer. Hence, decision-support framework developed in the study can be an effective tool for SC practitioners for strengthening the risk resilience of RL collaboration with 3PRLPs and attainment of sustainability and CE goals.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100292"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926563","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":"Global value chains and carbon intensity across economic phases","authors":"Wei Zhao ,&nbsp;Hao Chen ,&nbsp;JunKang Zhang ,&nbsp;Aldis Bulis","doi":"10.1016/j.clscn.2025.100294","DOIUrl":"10.1016/j.clscn.2025.100294","url":null,"abstract":"<div><div>This study examines the evolving relationship between global value chains and carbon emissions from 2000 to 2014 from a historical economic perspective, using a framework that integrates distinct economic phases and major global events. Based on panel data from 52 countries, the analysis identifies heterogeneous effects across three periods. Global value chain participation reduced carbon intensity during the Technology Diffusion phase (2001–2007) through efficiency improvements, increased carbon intensity during the Crisis Disruption phase (2008–2009) amid economic shocks, and exhibited a weakened impact during the Policy Realignment phase (2010–2014) under changing regulatory conditions. The results further reveal a U-shaped relationship, whereby initial global value chain integration lowers carbon intensity, while excessive participation leads to higher emissions. Additional analyses highlight differences between developed and developing economies, as well as evidence of regional convergence in Asia. Drawing on international trade, climate, and economic datasets, the study applies advanced econometric techniques to ensure robust estimation. The findings support differentiated policy implications, including development-adjusted carbon pricing, national green technology requirements, and enhanced corporate emissions transparency, offering integrated insights into balancing trade integration with climate objectives during the study period.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100294"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926562","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":"Sustainable economic policies for a VMI-CS-based closed-loop supply chain with quality control measures under the carbon cap-and-trade regulation","authors":"Ayesa Khatun ,&nbsp;Sahidul Islam ,&nbsp;Rimi Karmakar ,&nbsp;Arindam Garai","doi":"10.1016/j.clscn.2025.100280","DOIUrl":"10.1016/j.clscn.2025.100280","url":null,"abstract":"<div><div>The present study evaluates the effects of making various initial investments on the economic and environmental sustainability of a closed-loop supply chain (CLSC), comprising a single manufacturer and multiple retailers, who are tied under the vendor-managed inventory with consignment stock (VMI-CS) framework, along with a single supplier and multiple collectors, who ensure the continuous availability of resources for the manufacturer. Unlike established articles, this study considers the initial green investment of each and every chain-partner for reducing carbon emissions under the cap-and-trade regulation of the Paris Accord. Another key aspect of this study is collectors’ inspection-related investments, which aim to reduce costs of sorting recyclable products from used ones, whereas this study emphasizes quality control by including the reworking of both the defective fresh and defective remanufactured products. Employing one novel algorithm, integrating atomic orbital search-based metaheuristic and fuzziness, this study optimally determines ten decision variables of the proposed model. Current results showed that increasing the number of shipments of remanufactured products relative to fresh manufactured ones significantly enhanced the total profit of the proposed VMI-CS-based CLSC model. Even while defective rates had a relatively minor impact on total profit, the sale price of remanufactured products could critically affect the profitability of the proposed model. Thus, this study pleaded managers to strategically balance the inflow of raw materials and fresh products across chain-partners with the return flow of recyclable used items. Also, this study seeks to stimulate the demand of fresh products while maintaining a moderate demand of remanufactured products and thus boost the total profit of current model.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100280"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694808","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":"Exploring the development of Scope 3 emissions reporting: Evidence from global logistics companies","authors":"René Bauer ,&nbsp;Tijana Radojcic ,&nbsp;David M. Herold ,&nbsp;Sebastian Kummer","doi":"10.1016/j.clscn.2026.100304","DOIUrl":"10.1016/j.clscn.2026.100304","url":null,"abstract":"<div><div>This study explores the development of Scope 3 emissions reporting in the logistics industry from 2020 to 2023, focusing on indirect emissions that occur across the value chain. As such, Scope 3 emissions represent the largest share of corporate carbon footprints, their accurate and transparent reporting is essential for effective decarbonization strategies. Drawing on reporting data from 469 global logistics firms submitted to the Carbon Disclosure Project (CDP) over a four-year period, the study applies a quantitative multi-year approach to examine how reporting practices evolved in terms of category coverage and emissions intensity. It further investigates how company size, reporting frequency, use of emissions accounting standards, and third-party verification influence reporting outcomes. The results show that Scope 3 reporting by logistics companies has steadily improved, reflected in broader and more consistent coverage of emission categories. Firm size, the adoption of established accounting standards, and independent verification emerge as previously underexplored, yet statistically significant factors linked to more comprehensive reporting. At the same time, downstream categories focused on customers remain underreported, while upstream categories tied to logistics hotspots like fuel and equipment show stronger disclosure. Drawing from multiple theories, this research provides a more in-depth understanding of Scope 3 reporting in a high-emission sector and contributes to the broader understanding of how corporate practices evolve in response to sustainability development. The results provide insights for companies seeking to improve their reporting, for regulators aiming to enhance reporting standards, and for stakeholders promoting greater accountability and climate action across global supply chains.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"18 ","pages":"Article 100304"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395755","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}