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Sharing, technology, and resilience in agricultural SMEs: pathways to sustainable supply chains under VUCA conditions 农业中小企业的共享、技术和韧性:VUCA条件下的可持续供应链之路
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-11-14 DOI: 10.1016/j.clscn.2025.100285
Konpapha Jantapoon, Krittapha Saenchaiyathon
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.
本研究考察了农业中小企业在不稳定、不确定、复杂和模糊(VUCA)条件下,信息共享、技术实施和供应链弹性(SCR)对可持续供应链管理(SSCM)的支持方式。该结构模型利用了泰国北部5个省份的756家农业企业的数据,解释了SCR中65.7%的方差和SSCM中71.3%的方差。结果表明,技术的实施使SCR提高了44.1%,信息共享使SCR提高了42.2%。此外,SCR通过强烈促进可持续性结果证实了其在SSCM中的基本功能(β = 0.695, p < 0.001)。然而,这种联系受到VUCA条件的负向调节,因为高VUCA强度使SCR的可持续性效率降低了73.6%。根据这些结果,尽管稳健弹性(中断期间的稳定性)和适应性弹性(对业务环境变化的响应)方法是必不可少的,但在极端波动期间,它们必须辅以特定于环境的动态技能。对于资源有限的农业中小企业,该研究提供了实用的见解,帮助管理者和政策制定者制定适应不稳定条件的弹性驱动的可持续发展战略。
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引用次数: 0
Reverse logistics and lean, agile, resilient, and green paradigms in supply chain: A comparative analysis of fuzzy decision-making methods 逆向物流与供应链中的精益、敏捷、弹性和绿色范式:模糊决策方法的比较分析
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-11-14 DOI: 10.1016/j.clscn.2025.100284
Seyyed Jalaladdin Hosseini Dehshiri
Reverse logistic (RL) systems in the Supply Chain (SC) are not efficient due to challenges in inventory management models and ordering policies. This research combines paradigms of Lean, Agile, Resilient, and Green (LARG) and provides solutions for executing RLs. The main objective of the research is to specify and prioritize the solutions for implementing RLs based on LARG paradigms. In this regard, the Fuzzy Step-wise Weight Assessment Ratio Analysis (F-SWARA) and the Fuzzy Weighted Aggregates Sum-Product Assessment (F-WASPAS) approaches are proposed to prioritize solutions. The F-SWARA method weighs the indicators, and the F-WASPAS technique is used to prioritize the solutions. To ensure robustness, various methods are employed for validation, and sensitivity analysis is examined. The findings showed that the sub-indicators of cost reduction, reducing business waste, and improving cash-to-cash cycle with importance levels of 0.228, 0.174, and 0.163 were the most significant factors, respectively. Also, solutions of investment in the development of return management software and the use of artificial intelligence to predict product returns, the development of outsourcing strategies taking into account cost, environmental regulations, and SC structure, and using technologies of information and communication to improve coordination and communication between SC players were introduced as superior solutions, respectively.
由于库存管理模型和订购策略的挑战,供应链中的逆向物流系统效率不高。本研究结合了精益、敏捷、弹性和绿色(LARG)的范例,并提供了执行RLs的解决方案。本研究的主要目的是明确和优先考虑基于LARG范式的RLs实现的解决方案。在这方面,提出了模糊逐步权重评价比率分析(F-SWARA)和模糊加权聚合和产品评价(F-WASPAS)方法来确定解决方案的优先级。采用F-SWARA方法对指标进行加权,采用F-WASPAS技术对方案进行优先排序。为了确保稳健性,采用了多种方法进行验证,并进行了敏感性分析。研究发现,降低成本、减少企业浪费和改善现金转现金循环三个子指标的重要性水平分别为0.228、0.174和0.163,是影响企业绩效的最显著因素。并分别介绍了投资开发退货管理软件和利用人工智能预测产品退货、制定考虑成本、环境法规和供应链结构的外包策略以及利用信息和通信技术改善供应链参与者之间的协调和沟通的解决方案。
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引用次数: 0
Assessment of organizations’ maturity towards circular economy practice in manufacturing industries: Evidence from a developing economy 制造业组织循环经济实践成熟度评估:来自发展中经济体的证据
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-11-12 DOI: 10.1016/j.clscn.2025.100286
Pritidipto Paul Chowdhury, Mohammad Muhshin Aziz Khan, Ahmed Sayem, Md Abidur Rahman Asif, Akash Roy
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 Value Creation 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, Explorative 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.
循环经济(CE)正在成为解决当前全球环境和经济问题的潜在解决方案,特别是对世界各地的制造业而言。需要一个相关的成熟度模型来评估和指导它们实现循环实践。本研究拟采用参考成熟度模型,使其适用于制造业,并评估孟加拉国等发展中经济体的制造业组织的循环实践状况。本研究采用层次分析法(AHP)模型,通过文献综述和专家意见,分析了各维度与相关活动的相对重要性。研究结果表明,价值创造维度对企业价值成熟度状态的解释具有重要意义,其中“r相关活动”的影响最为关键。在此基础上,运用多层次模糊综合评价技术对发展中经济体中制造业的CE成熟度状况进行了评价。数据表明,约51%的被研究行业仍处于循环转型的初级阶段。他们刚刚开始理解其重要性,或者采用试点项目来判断在其价值链中实施循环实践的潜力。相比之下,其余行业超过了这一门槛水平。此外,探索性是研究行业中最常见的级别。在此范围内,本文敦促决策者将企业绩效实践作为管理决策中的战略问题。这不仅会改善整体状况,而且对经济和社会也有好处。
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引用次数: 0
Sustainable economic policies for a VMI-CS-based closed-loop supply chain with quality control measures under the carbon cap-and-trade regulation 碳排放限额与交易监管下基于vmi - cs的闭环供应链质量控制措施的可持续经济政策
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-11-06 DOI: 10.1016/j.clscn.2025.100280
Ayesa Khatun , Sahidul Islam , Rimi Karmakar , Arindam Garai
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.
本研究评估了对闭环供应链(CLSC)的经济和环境可持续性进行各种初始投资的影响,该供应链包括一个制造商和多个零售商,这些零售商在供应商管理的寄售库存(VMI-CS)框架下捆绑在一起,以及一个供应商和多个收集商,他们确保制造商的资源持续可用性。与已有的文章不同,本研究考虑了在《巴黎协定》的限额与交易规定下,每一个链条合作伙伴减少碳排放的初始绿色投资。本研究的另一个关键方面是收集商的检查相关投资,其目的是降低从旧产品中分类可回收产品的成本,而本研究强调质量控制,包括对有缺陷的新鲜产品和有缺陷的再制造产品进行返工。采用基于原子轨道搜索的元启发式算法与模糊算法相结合的新算法,优化确定了模型的十个决策变量。目前的结果表明,相对于新制造的产品,增加再制造产品的出货量显著提高了所提出的基于vmi - cs的CLSC模型的总利润。即使次品率对总利润的影响相对较小,再制造产品的销售价格也会严重影响所提出模型的盈利能力。因此,本研究恳求管理人员策略性地平衡原材料和新鲜产品在供应链合作伙伴的流入与可回收再利用物品的回流。此外,本研究旨在刺激新鲜产品的需求,同时保持适度的再制造产品的需求,从而提高当前模式的总利润。
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引用次数: 0
Breaking new ground in sustainability (SD): a novel integrated framework for eco/green-innovation (EI) and green supply chain management (GSCM) implementation in emerging economies – evidence from Jordan’s industrial transformation 在可持续发展(SD)方面开辟新路:新兴经济体实施生态/绿色创新(EI)和绿色供应链管理(GSCM)的新综合框架——来自约旦工业转型的证据
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-10-27 DOI: 10.1016/j.clscn.2025.100279
Lana Freihat , Zayed Huneiti , Wamadeva Balachandran
The Emerging economies face a Sustainability (SD) paradox is the need to adopt green logistics and supply chain practices while constrained by limited resources and inadequate institutional frameworks. This study tackles three core challenges: (1) the absence of context-specific theories explaining Eco/Green-Innovation (EI) integration within Green Supply Chain Management (GSCM), (2) lack of empirical insights into SD implementation in Middle Eastern industries, and (3) the missing link between organizational practices and progress toward UN Sustainable Development Goals (SDGs).The research introduces four innovations: (1) a mixed-methods design combining PRISMA-based literature review with a case study for both breadth and depth, (2) the first validated measurement framework for EI–GSCM integration in the Middle East, (3) a theoretical model combining Resource-Based View, Institutional Theory, and Diffusion of Innovation Theory to explain implementation under constraints, and (4) an SDG-mapping method directly linking SD practices to specific SDG targets. Key insights include: green procurement as the most effective starting point (78 % adoption); Green Human Resource Management (GHRM) as a vital mediator (r = 0.399); the need for integrated, not sequential, implementation; Total Quality Environmental Management as a strong secondary approach (65 %); and practical pathways linking practices to SDG 12.This is integrated empirical and theoretical study on EI and GSCM tailored to emerging economies, offering practical frameworks and advancing sustainable supply chain transformation. Building on these findings, future research should explore emerging eco-technologies such as artificial intelligence, blockchain, and smart irrigation systems to enhance SD performance.
新兴经济体面临着一个可持续发展悖论,即在资源有限和制度框架不完善的情况下,需要采用绿色物流和供应链实践。本研究解决了三个核心挑战:(1)缺乏解释绿色供应链管理(GSCM)中生态/绿色创新(EI)整合的特定背景理论;(2)缺乏对中东行业可持续发展实施的实证见解;(3)组织实践与联合国可持续发展目标(sdg)进展之间缺失的联系。本研究引入了四个创新:(1)基于prisma的文献综述与案例研究相结合的混合方法设计,兼具广度和深度;(2)中东地区首个经过验证的经济效益-供应链管理整合测量框架;(3)结合资源基础观、制度理论和创新扩散理论的理论模型,解释约束下的实施;(4)可持续发展目标映射方法,直接将可持续发展实践与具体的可持续发展目标联系起来。主要见解包括:绿色采购是最有效的起点(78%的采用率);绿色人力资源管理(GHRM)作为重要中介(r = 0.399);需要综合实施,而不是顺序实施;全面质量环境管理作为强有力的次要方法(65%);以及将实践与可持续发展目标12联系起来的实际途径。这是一项针对新兴经济体的综合实证和理论研究,为可持续供应链转型提供了实用框架。在这些发现的基础上,未来的研究应该探索新兴的生态技术,如人工智能、区块链和智能灌溉系统,以提高可持续发展的表现。
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引用次数: 0
Optimal reassignment of green vehicles for improving last-mile delivery distribution in cities with low emissions zones 绿色车辆优化再分配,改善低排放城市最后一英里配送
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-10-27 DOI: 10.1016/j.clscn.2025.100282
Joaquín Álvarez-Horcajo , José M. Oliet-Villalba , Luis M. Moreno-Saavedra , Juan A. Carral , Sancho Salcedo-Sanz
In this paper we tackle a problem of green vehicles reassignment for improving last-mile delivery distribution. Specifically, we consider the case of a large last-mile delivery company operating in some of the largest cities of Spain, where Low Emission Zones (LEZs) have been deployed in the last years, following an EU directive. We develop an intelligent system based on heuristics and metaheuristic algorithms which reassigns green vehicles between different cities in Spain where the company delivers. The reassignment process has been carried out in such a way that the vehicles are able to operate in the different cities considered, and it also follows a sustainability criterion, based on minimizing the distance of the vehicles reassignment. The results obtained show the performance of the proposed algorithms in this particular problem, and what is the effect of the reassignments in the performance of last-mile delivery in the cities considered.
为了改善最后一英里的配送,本文研究了绿色车辆的再分配问题。具体来说,我们考虑了在西班牙一些大城市运营的一家大型最后一英里送货公司的案例,根据欧盟的指令,这些城市在过去几年中已经部署了低排放区(lez)。我们开发了一个基于启发式和元启发式算法的智能系统,该系统可以在公司交付的西班牙不同城市之间重新分配绿色车辆。重新分配过程以这样一种方式进行,即车辆能够在所考虑的不同城市中运行,并且它还遵循基于最小化车辆重新分配距离的可持续性标准。所得结果表明了所提算法在该特定问题中的性能,以及在考虑的城市中,重新分配对最后一英里配送性能的影响。
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引用次数: 0
Algorithmic management and green technologies: enhancing supply chain resilience through transformation 算法管理与绿色技术:通过转型增强供应链弹性
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-10-26 DOI: 10.1016/j.clscn.2025.100281
Mahmoud Abdulhadi Alabdali , Muhammad Zafar Yaqub , Josef Windsperger
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.
随着数字化转型和环境问题的加剧,当代供应链面临着前所未有的可持续和弹性压力。然而,组织经常努力将先进的数字工具与绿色实践相结合,以提高供应链的适应性和绩效。本研究旨在通过研究算法管理、绿色颠覆性技术和绿色数字吸收能力如何相互作用来推动绿色数字供应链的转型和弹性,从而解决这一差距。本研究利用偏最小二乘结构方程模型对324名沙特阿拉伯供应链和技术专业人员的调查反馈进行建模,揭示了研究结构之间显著的直接和串行中介效应。研究结果表明,绿色数字化吸收能力在算法管理对数字化转型和供应链弹性的影响中起中介作用,而绿色颠覆性技术和吸收能力在这两个环节中依次起中介作用。这些发现对那些努力提高数据吞吐量和实时响应能力的公司具有实际意义,这是在动荡的市场和环境法规中保持竞争力的关键因素。通过战略性地投资于绿色颠覆性技术和建立强大的吸收能力,组织可以实现更灵活、透明和稳健的供应链。从理论上讲,该研究促进了对数字化和绿色倡议如何协同促进弹性的理解,为寻求导航和塑造可持续供应链未来的从业者和学者提供了可操作的见解。
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引用次数: 0
Blockchain technology for sustainable supply chains in the fishing industry: A systematic review 渔业可持续供应链的区块链技术:系统综述
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-10-25 DOI: 10.1016/j.clscn.2025.100277
Emmanuel Kafti Mawrides , Alok Mishra , Bjørn Jæger
This study presents a systematic review on the application of blockchain in fish supply chains. It addresses the current state of blockchain in fish supply chains, enablers and challenges to its adoption. The review delves into the fishing industry, focusing on empirical works on the intersection of blockchain and sustainability where there is limited research. The key findings illustrate that the themes of transparency, traceability, trust, and information sharing are dominant in the blockchain and fish supply chains domain. By synthesizing and critically assessing existing empirical research, the paper further sheds light on the interplay between blockchain and sustainable fish supply chains, further examining the facilitators that drive blockchain adoption. The findings demonstrate real-time visibility, authentication and security, cost reduction and blockchain’s decentralized nature as the main facilitators. Conversely, the study investigates challenges that hinder the seamless integration of blockchain in fish supply chains under the three categories of technology, organizational and regulatory frameworks. High costs of investments, resistance to change, environmental concerns and challenges such as forking, scalability issues, garbage in garbage out and integration issues emerge as the predominant barriers to adoption of blockchain in supply chain contexts. The paper further discusses smart contracts, token economics and consensus mechanisms and their impact on sustainability in this domain. There is need for further research into the social aspects of sustainability that have limited empirical research compared to governance and environmental sustainability for fish supply chains.
本文对区块链在鱼类供应链中的应用进行了系统综述。它阐述了鱼类供应链中区块链的现状、推动因素和采用区块链的挑战。该评论深入研究了渔业,重点关注区块链和可持续性交叉的实证研究,这方面的研究有限。主要发现表明,透明度、可追溯性、信任和信息共享的主题在bb0和鱼类供应链领域占主导地位。通过综合和批判性地评估现有的实证研究,本文进一步阐明了区块链与可持续鱼类供应链之间的相互作用,进一步研究了推动区块链采用的促进因素。研究结果表明,实时可见性、身份验证和安全性、成本降低以及b区块链的分散性是主要的促进因素。相反,该研究在技术、组织和监管框架三大类下调查了阻碍区块链在鱼类供应链中无缝整合的挑战。高投资成本、抗拒改变、环境问题和挑战(如分叉、可伸缩性问题、垃圾输入垃圾输出和集成问题)成为在供应链环境中采用区块链的主要障碍。本文进一步讨论了智能合约、代币经济学和共识机制及其对该领域可持续性的影响。需要进一步研究可持续性的社会方面,与鱼类供应链的治理和环境可持续性相比,这些方面的实证研究有限。
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引用次数: 0
Enabling coercive drivers with green supply chain management practices to gain performance Nexus through external collaboration and monitoring 通过外部合作和监督,通过绿色供应链管理实践使强制驱动程序获得绩效Nexus
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-10-25 DOI: 10.1016/j.clscn.2025.100278
Aamir Rashid , Rizwana Rasheed
Businesses primarily provide products or services, expand operations, and generate profits. However, they frequently disregard the environmental and economic consequences of their actions as they strive for profitability and growth. Consequently, the main objective of this research was to examine the impact of a multifaceted supply chain function on performance. Data were collected from 415 respondents employed in various manufacturing companies within a developing economy. The hypotheses were evaluated using Structural Equation Modeling (SEM) through Smart PLS. The findings discovered that ten of the thirteen hypotheses tested were supported, while three were not. Coercive drivers were observed to significantly influence Businesses, primarily green supply chain management practices (GSCMP) adoption. Similarly, GSCMP significantly impacted external collaboration (EC) and external monitoring (EM). Additionally, GSCMP, EC, and EM significantly affected operational, financial, and environmental performances, respectively, except for GSCMP’s impact on operational performance. The performance constructs’ results varied in their significance and insignificance. These results underscore managers’ importance in responding to external pressures by implementing environmentally friendly practices. The study suggests that firms should integrate green initiatives into their collaborations with suppliers and customers to achieve a comprehensive impact that enhances sustainable performance.
企业主要提供产品或服务,扩大经营,并产生利润。然而,他们在追求盈利和增长的同时,往往忽视了他们的行为对环境和经济的影响。因此,本研究的主要目的是研究多方面供应链功能对绩效的影响。数据收集自在发展中经济体的各种制造公司工作的415名受访者。通过Smart PLS使用结构方程模型(SEM)对假设进行评估。结果发现,13个被测试的假设中有10个被支持,而3个不被支持。强制性驱动因素被观察到显著影响企业,主要是绿色供应链管理实践(GSCMP)的采用。同样,GSCMP显著影响了外部协作(EC)和外部监控(EM)。此外,除了GSCMP对运营绩效的影响外,GSCMP、EC和EM分别显著影响运营、财务和环境绩效。绩效构念的结果在显著性和不显著性上存在差异。这些结果强调了管理者通过实施环境友好实践来应对外部压力的重要性。该研究建议,企业应将绿色倡议纳入其与供应商和客户的合作中,以实现提高可持续绩效的全面影响。
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引用次数: 0
A sustainable crowd shipping model using public transport for low-carbon urban logistics 利用公共交通实现低碳城市物流的可持续人群运输模式
IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-10-24 DOI: 10.1016/j.clscn.2025.100276
Hisatoshi Naganawa , Enna Hirata , Russell G. Thompson
This study proposes a novel approach to sustainable urban logistics through a crowdsourced co-modality transportation system (CCTS) integrated with public transport networks. The research introduces a dual-layer multi-modal CCTS framework that optimally combines conventional delivery services with crowd shipping, leveraging existing passenger transport infrastructure to reduce environmental impacts. A dynamic programming model is developed to optimize mode selection, incorporating multiple transport modes in the context of physical internet, congestion constraints, train capacity, and carbon footprint considerations. By employing heuristic search methods for parcel locker placement, the study enhances last-mile delivery efficiency. Using Osaka as a case study, simulation results demonstrate that engaging commuters as delivery agents and integrating smart parcel lockers can significantly reduce urban freight emissions – achieving up to 80% carbon savings in specific scenarios. These findings highlight the potential of public transport-based crowd shipping to enhance delivery efficiency while contributing to cleaner and more sustainable cities.
本研究提出了一种通过与公共交通网络相结合的众包共运系统(CCTS)实现可持续城市物流的新方法。该研究介绍了一种双层多式联运CCTS框架,该框架将传统交付服务与人群运输最佳结合,利用现有客运基础设施减少对环境的影响。建立了一个动态规划模型来优化模式选择,在物理互联网、拥堵约束、列车容量和碳足迹考虑的背景下结合多种运输模式。采用启发式搜索方法对包裹储物柜进行选址,提高了最后一英里投递效率。以大阪为例,模拟结果表明,让通勤者充当快递代理并集成智能包裹寄存柜可以显著减少城市货运排放——在特定情况下可节省高达80%的碳排放。这些发现突出了以公共交通为基础的人群运输在提高运输效率的同时有助于建设更清洁、更可持续的城市的潜力。
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Cleaner Logistics and Supply Chain
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