Cleaner Logistics and Supply Chain最新文献

{"title":"Optimizing supply chain performance through sustainable manufacturing practices and capabilities in emerging markets: an integrated linear (PLS-SEM) and non-linear (fsQCA) approach","authors":"Jewel Rana ,&nbsp;Md Zubair Ahmad ,&nbsp;Mohammad Fakhrul Islam ,&nbsp;Md Nazmul Islam Jihad ,&nbsp;Md. Rashed ,&nbsp;Mohammed Kamruzzaman","doi":"10.1016/j.clscn.2025.100257","DOIUrl":"10.1016/j.clscn.2025.100257","url":null,"abstract":"<div><div>Supply chain uncertainties are a key managerial concern because of their adverse influences on organizations and supply chain operations. Supply chain firms must establish a strategic construct: the capability to reconfigure, adapt, and respond during disruptive events. This study aims to empirically examine the impact of the dimensions of supply chain analytics capability and sustainable manufacturing practices, thereby achieving high levels of supply chain performance in emerging markets. The study combines the theoretical framework using dynamic capability theory to reconfigure supply chain firms’ resources and capabilities to respond to disruptive events, thereby attaining a competitive advantage in dynamic markets. By employing the proposed questionnaires, participants are collected from 333 senior supply chain professionals involved in various manufacturing industries in Bangladesh. Accordingly, the study proposed five hypotheses to test the empirical validation using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). The results show that management capability, data-driven culture, supply chain management, and sustainable manufacturing process significantly impact supply chain performance using the PLS-SEM model. In the fsQCA model, the findings reveal that management capability and supply chain management are sufficient core conditions to achieve high supply chain performance. This substantial result identifies that deploying dynamic capabilities techniques for the implication of extant capabilities in combination with processes for expanding and employing new insights strengthens the supply chain’s capability to find potential uncertainties and respond to them rapidly.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100257"},"PeriodicalIF":6.8,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879227","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 big data analytics adoption for sustainable manufacturing supply Chains: Insights from a TOE-guided systematic review","authors":"Do Giang Huong ,&nbsp;Muhammad Azmat ,&nbsp;Reem Hadeed","doi":"10.1016/j.clscn.2025.100256","DOIUrl":"10.1016/j.clscn.2025.100256","url":null,"abstract":"<div><div>The importance of Big Data Analytics (BDA) has drawn much attention as the need for sustainability in manufacturing supply chains grows. However, a systematic understanding of the evolving landscape at the intersection of BDA, manufacturing supply chains and the Triple Bottom Line of sustainability is still missing. In response, the study aims to synthesise the existing literature to unearth the potential benefits of BDA to enhance sustainability and to clarify barriers constraining its widespread adoption. A systematic review of 64 peer-reviewed articles reveals a growing trend in BDA research related to sustainable manufacturing supply chains. The findings are thematically analysed and categorised according to how BDA influences ecological, social, and economic sustainability within these supply chains. Moreover, to comprehensively elucidate the landscape, the research leverages the Technology-Organisation-Environment framework to effectively frame organisations’ multifaceted challenges on their journey to embrace BDA. An integrated framework is proposed to elaborate holistically on BDA applications for sustainability. This review presents a vital reference for researchers, practitioners, and policymakers alike, facilitating a deeper understanding of how BDA can be harnessed to unlock sustainability in manufacturing supply chains and pave the way for more informed decisions in a rapidly changing environment.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100256"},"PeriodicalIF":6.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144851777","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":"Traceability principles in waste stakeholder discourse: Toward a general conceptual framework for plastics supply chain traceability","authors":"Laura McGillivray ,&nbsp;Hope Johnson ,&nbsp;Afshin Akhtar-Khavari ,&nbsp;Christopher Barner-Kowollik ,&nbsp;Mark Lauchs ,&nbsp;Lewis Chambers ,&nbsp;James Blinco","doi":"10.1016/j.clscn.2025.100254","DOIUrl":"10.1016/j.clscn.2025.100254","url":null,"abstract":"<div><div>Improving plastics traceability is often positioned as a key solution to plastics pollution in institutional, industry, and academic discourse. Correspondingly, the lack of traceability regarding various aspects of plastics including their specific content (i.e. the mix of polymers and additives used) and the flows of plastics from production through to waste (i.e. the difficulty of tracking where plastics start and end) are widely understood as key barriers to effective interventions. There is, however, no consolidated understanding of the fundamental conceptual aspects of plastics traceability, with most literature focusing on its technical challenges and opportunities and overlooking governance perspectives. Understanding the conceptual dimensions that inform plastics traceability can assist stakeholders in designing and implementing better traceability schemes. It can also help expand the technology-centric standpoint to recognise that traceability is also about values, norms, and systems. This paper seeks to contribute these perspectives to the development of a principles-based conceptual framework for plastics traceability. This conceptual framework is developed using a qualitative analysis of submissions to the (Australian) National Traceability Framework Consultation, interviews with plastic packaging stakeholders in the Australian context, and relevant industry and policy documents. The research approach is distinctive in its socio-legal perspective and systematic multi-source discourse analysis. The research identified circularity, data generation, assurance, transparency, responsibility, and adaptability as the principles that should, according to stakeholders, inform the design of plastics traceability. It also identifies best practice strategies and pressure points in operationalising these principles of traceability. These results can inform future scholarship towards a common conceptual framework for plastics traceability. The principles identified can also provide clarity and direction in the overarching goals, design, and governance of traceability systems for regulators and companies looking to advance supply chain governance.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100254"},"PeriodicalIF":6.8,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722344","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":"Impact of policies on carbon and lead emissions in a closed loop lead–acid battery supply chain","authors":"Nisha Sihag ,&nbsp;B. Vipin","doi":"10.1016/j.clscn.2025.100248","DOIUrl":"10.1016/j.clscn.2025.100248","url":null,"abstract":"<div><div>In this study, we investigate the impact of emission policies on the lead–acid battery (LAB) ecosystem in mitigating emissions. We develop a system dynamics model for the closed loop LAB supply chain in the Indian context. Next, we analyze the effect of policies such as carbon tax and green incentives on the lead and carbon emissions of LAB ecosystem. We find that the consequences of policies vary from the unfavorable case of increased carbon and lead emissions to the favorable case of decreased carbon and lead emissions. Our results show an emissions dilemma—a decrease in carbon emissions and an increase in lead excretion in the case of a carbon tax imposed on the organized sector manufacturers and recyclers and vice versa in the case of green incentives given to the organized sector recyclers. As an effective mechanism, we find that imposing a carbon tax only on organized sector manufacturers reduces lead and carbon emissions. Furthermore, from a long-term perspective, extending green incentives to organized manufacturers or simultaneously to both organized manufacturers and recyclers can effectively reduce carbon and lead emissions. Our study identifies the right policies for mitigating different types of emissions simultaneously.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100248"},"PeriodicalIF":6.9,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685752","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":"Leveraging industry 4.0 technologies for sustainable supply chain management: A systematic review","authors":"Hui Han ,&nbsp;Jingyue Li","doi":"10.1016/j.clscn.2025.100246","DOIUrl":"10.1016/j.clscn.2025.100246","url":null,"abstract":"<div><div>Integrating sustainability into supply chain management is both a challenge and a strategic necessity. This review aims to bridge the gap in the literature by examining how Industry 4.0 (I4.0) technologies can advance sustainable supply chain management (SSCM). By systematically analyzing 231 studies, this paper identifies major technological barriers, including eco-efficiency deficits, data privacy concerns, and compatibility issues, that hinder SSCM adoption. It systematically explores six key I4.0 technologies—Blockchain, Big Data Analytics, IoT, Additive Manufacturing, Cyber-Physical Systems, and Cloud Computing—demonstrating their capabilities to overcome these challenges and achieve sustainable outcomes. Furthermore, this review highlights critical research gaps and proposes a detailed roadmap for future exploration, emphasizing the development of integration frameworks, advanced data management, and the exploration of emerging technologies like AI and augmented reality. By offering a strategic framework on I4.0′s potential to drive sustainable practices, this study provides actionable insights for scholars, practitioners, and policymakers to leverage I4.0 technologies for sustainable innovation.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100246"},"PeriodicalIF":6.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653712","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":"Optimizing carbon reduction and vehicle routing for small-portion meal delivery under dual carbon goals","authors":"Guiqin Xue,&nbsp;Shaohui Zou","doi":"10.1016/j.clscn.2025.100253","DOIUrl":"10.1016/j.clscn.2025.100253","url":null,"abstract":"<div><div>The burgeoning trend of small-portion meals, offering two-thirds or less of a standard-portion, is a crucial strategy to reduce carbon emissions and food waste in the food delivery sector. This study introduces a comprehensive measurement framework encompassing meal preparation, packaging, delivery, and waste management processes. We formulate four models—Total-Curb, Dual-Curb, Equal-Curb, and Elite-Curb—targeting different carbon emission control goals. To address the complexities of these models, we design a trajectory similarity measure with driver familiarity for order allocation. Additionally, an adaptive iterative neighborhood search algorithm has been developed, incorporating neighborhood operators and heuristic rules to enhance solution quality and efficiency. A case study in Dalian, China, employs six comparative indicators to estimate the carbon reduction impact of small-portion meals. Our findings reveal that small-portion meals contribute significantly to carbon reduction in all models except the Elite-Curb model. Among them, the Dual-Curb model emerges as a balanced solution, offering a compromise between carbon emission reduction and operational efficiency, while the Elite-Curb model is less effective. The adoption of small-portion meals stands as a potent low-carbon transportation solution for online meal delivery platforms, promoting a more environmentally conscious and sustainable industry paradigm.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100253"},"PeriodicalIF":6.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670583","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 innovation as a catalyst: linking green supply chain practices to corporate reputation in emerging markets","authors":"Ahmad Mohammad Herzallah ,&nbsp;Raed Ali M. Iriqat ,&nbsp;Karam Zaki ,&nbsp;Gamal S.A. Khalifa ,&nbsp;Tagreed Awad Abdelhalim Abdelfadel ,&nbsp;Mohammad Husni Hamed ,&nbsp;Ahmed K. Elnagar","doi":"10.1016/j.clscn.2025.100245","DOIUrl":"10.1016/j.clscn.2025.100245","url":null,"abstract":"<div><div>This study examines the mediating role of sustainable innovation (SI) in the relationship between green supply chain management (GSCM) practices and corporate reputation (CR) within SMEs specialized in logistics and manufacturing sectors in Saudi Arabia. To address the limited understanding of how SI enhances the link between GSCM and CR, we developed a comprehensive model and validated it using partial least squares structural equation modeling (PLS-SEM). The model’s authenticity was confirmed through rigorous tests of convergent and discriminant validity, composite reliability, and overall goodness-of-fit measures. Data were collected through a cross-sectional survey of 279 valid responses from SMEs identified based on the World Bank’s manufacturing and logistics sectors, with data authentication ensured via thorough screening, pilot testing, and adherence to established reliability standards. The findings reveal that GSCM practices have a significant direct impact on CR and SI. Furthermore, SI positively influences CR and partially mediates the GSCM-CR relationship, as evidenced by substantial R2 values and statistically significant path coefficients. These results underscore the critical role of SI in transforming GSCM efforts into enhanced reputational outcomes. From a practical standpoint, the study highlights the need for managers to integrate SI into their GSCM strategies to achieve both environmental and reputational benefits. Investment in eco-design, resource-efficient technologies, and customer collaboration are vital for fostering innovation and improving public perception. The research also offers theoretical contributions by extending the Resource-Based View (RBV) and stakeholder theory, emphasizing the mediating power of SI in sustainability frameworks.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100245"},"PeriodicalIF":6.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632475","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":"Unlocking sustainable last mile deliveries through interventions in the pre-delivery stage","authors":"Alinda Kokkinou ,&nbsp;Aistė Lastauskaitė ,&nbsp;Hans Quak ,&nbsp;Andreas Karaoulanis ,&nbsp;Ondrej Mitas ,&nbsp;Albert Mandemakers","doi":"10.1016/j.clscn.2025.100250","DOIUrl":"10.1016/j.clscn.2025.100250","url":null,"abstract":"<div><div>Technological innovations such as parcel lockers can only contribute to reducing the negative impact of last mile logistics on people, planet and profit outcomes if consumers adopt them. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical lens, the purpose of this study was to design effective interventions in the pre-delivery stage that stimulated consumers to choose to use parcel lockers, focusing on incentives and actions that online retailers and logistic service providers can easily implement. A vignette-based experiment was used to examine the impact of providing consumers with information about sustainability, information about parcel lockers and information about distance to nearest parcel locker on their choice to use a parcel locker instead of receiving their package at home. The originality of the study is twofold. The role of geographical context which is oftentimes overlooked was examined explicitly in this study by conducting the study with participants from the Netherlands and Lithuania. The present study used causal mediation analysis to study the combined effects of interventions and previous experience with parcel lockers through the UTAUT constructs. The findings showed that providing information about sustainability and information about the distance to the nearest parcel locker were effective interventions, however the effect of distance was country specific. Causal mediation analysis showed that familiarity with parcel lockers was positively associated with the choice to use parcel lockers by increasing perceived ease of use, expected performance, and reducing perceived risk.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100250"},"PeriodicalIF":6.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663693","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":"Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness","authors":"Ali Omidkar,&nbsp;Razieh Es’haghian,&nbsp;Hua Song","doi":"10.1016/j.clscn.2025.100252","DOIUrl":"10.1016/j.clscn.2025.100252","url":null,"abstract":"<div><div>The escalating depletion of hydrocarbon reserves and the escalating global climate crisis have catalyzed a significant shift towards biofuels as a viable alternative to fossil fuels. However, the substantial cost disparity between biofuels and conventional fossil fuels presents a formidable obstacle to their widespread adoption. A pivotal component within the biofuel supply chain is the substantial financial burden associated with transporting biomass feedstocks to biorefineries for subsequent fuel production. For many low-cost or residue-based biomass feedstocks, the transportation cost represents a substantial portion of the total delivered price, often dominating the overall feedstock cost—especially when sourced from widely distributed or small-scale suppliers. Despite extensive scholarly inquiry, a comprehensive and accurate predictive model for biomass road transport costs remains elusive. This study endeavors to address this critical knowledge gap by conducting an in-depth analysis of global biomass road transport data to meticulously identify the key parameters that exert a significant influence on transportation costs. Through rigorous correlation analysis, fifteen independent variables were identified as having a discernible impact on the final transportation cost. Departing from the prevalent reliance on regression analysis in previous studies, this research demonstrates the limitations of multiple linear regression for accurately predicting transportation costs. Consequently, this study explores the predictive capabilities of two alternative machine learning algorithms: random forests and artificial neural networks. Comparative analysis unequivocally demonstrates the superior predictive performance of the random forest model, achieving a remarkable R-squared value of 97.4 % and a root mean square error of 165. Furthermore, this study delves into the relative importance of each independent variable in determining the overall transportation cost. In the multiple linear regression model, load factor and vehicle type emerged as the most influential factors, contributing 37 % and 31 % to the total cost variation, respectively. Conversely, the impact of distance on transportation costs was found to be minimal. In the more robust random forest model, vehicle type, distance, and load factor were identified as the most significant predictors, contributing 31 %, 25 %, and 12 % to the overall cost variation, respectively. The predictive model developed in this study offers valuable insights into the cost dynamics of biomass transportation. By facilitating precise predictions of transportation costs, stakeholders are empowered to streamline logistical operations, augment operational efficiency, and consequently, curtail overall biofuel production expenses. The resultant enhancement in the price competitiveness of biofuels relative to fossil fuels is poised to stimulate broader utilization of these renewable resources. Furthermore, the t","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100252"},"PeriodicalIF":6.9,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623577","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":"Stakeholder engagement in biomethane-fueled logistics: an embedded case study from Sweden","authors":"Mary Catherine Einarsson ,&nbsp;Maria Huge-Brodin ,&nbsp;Linea Kjellsdotter Ivert","doi":"10.1016/j.clscn.2025.100251","DOIUrl":"10.1016/j.clscn.2025.100251","url":null,"abstract":"<div><h3>Purpose</h3><div>The need to decarbonize logistics is pressing. In implementing fossil-free fuels, like biomethane, involved actors perceive drivers and barriers have been described at a surface level in green logistics literature. However, actors act in the context of each other, and there lacks research to understand the effects these drivers and barriers may have on actor relationships. Therefore, the purpose of this study is <em>to increase understanding of how actors are influenced and influence other actors when using biomethane in logistics.</em></div></div><div><h3>Design/Methodology/Approach</h3><div>This study is an embedded case study of a Swedish regional logistics network that has implemented biomethane. The embedded case study is built upon three rounds of interviews: explorative and semi-structured. The analysis is guided by theory on stakeholder engagement to understand the relationship aspects.</div></div><div><h3>Findings</h3><div>The actors included in the case study perceived drivers and barriers identified in literature to various degrees. These perceptions later affected how they engaged with each other to implement biomethane. Stakeholder engagement in this case study occurred as collaboration, disseminate, and assessing as result of the actor’s perceptions. One example is how organizational culture influences how actors engage in transition to fossil-free fuels.</div></div><div><h3>Originality</h3><div>This research sheds light on a fossil-free fuel not commonly researched. It also expands the existing research on drivers and barriers by exploring their effect on actor relationships. Use of stakeholder engagement theoretical lens provides depth in understanding of this phenomenon while also proposing further stakeholder engagement.</div></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"16 ","pages":"Article 100251"},"PeriodicalIF":6.9,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711260","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}