Xiukun Zhao , Fangfang Yang , Qianzhou Deng , Fangchao Xu , Jinhui Zou , Yu’e Wu
{"title":"Impacts of blockchain on recycling strategy in the presence of retailing platform under extended producer responsibility","authors":"Xiukun Zhao , Fangfang Yang , Qianzhou Deng , Fangchao Xu , Jinhui Zou , Yu’e Wu","doi":"10.1016/j.susoc.2025.12.001","DOIUrl":"10.1016/j.susoc.2025.12.001","url":null,"abstract":"<div><div>With the increasing popularity of extended producer responsibility (EPR) and blockchain implementation, new opportunities arise for recycling strategies between manufacturer and retailing platform in a closed-loop supply chain. We investigated the impact of blockchain on recycling strategies for retailing platform under EPR, using a Stackelberg game model that is manufacturer-led and platform-followed. Our results show that the implementation of Extended Producer Responsibility (EPR) and blockchain applications positively correlate with firm profits and social welfare when consumer green preferences and government subsidies are high, and the quality inspection time for remanufactured products and the cost of blockchain applications are relatively low. This correlation exists because government subsidies reduce the technological costs for retail platforms to implement blockchain, thereby incentivizing manufacturers to enhance their research and product quality. As a result, consumers are willing to accept higher prices for products, which in turn increases commission fees for retail platforms. Ultimately, this leads to increased total profits for both manufacturers and retail platforms, and government subsidies result in increased total social welfare.When government subsidies are endogenous, compared to the no subsidy and no blockchain (NN) model without EPR, the government green subsidy without blockchain (GSN) model under EPR, and the government green subsidy with blockchain (GSB) model under EPR, the government green and technology subsidy with blockchain (GTSB) model under EPR dominates in terms of total social welfare. When government subsidies are exogenous, under certain conditions, both the GSB and GTSB models exhibit superior social welfare. Our work highlights the driving effects of blockchain in facilitating manufacturer compliance with EPR, and suggests that to promote the enhancement of total social welfare, manufacturer and retailing platform should improve product quality and strengthen consumer trust in green products.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 1-16"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116512","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}
Hua Zhang, Cejun Cao, Ernesto DR. Santibanez Gonzalez, Jie Deng
{"title":"Fostering technological innovation: Designing policies to propel the shale gas supply chain towards a low carbon economy","authors":"Hua Zhang, Cejun Cao, Ernesto DR. Santibanez Gonzalez, Jie Deng","doi":"10.1016/j.susoc.2026.06.002","DOIUrl":"10.1016/j.susoc.2026.06.002","url":null,"abstract":"<div><div>This paper extends traditional two-echelon supply chain models to a dynamic three-echelon framework encompassing an upstream enterprise, downstream enterprise, and the government, focusing on policies encouraging technological innovation in a carbon-reducing shale gas supply chain. In this framework, the government and downstream enterprise subsidize and share the upstream enterprise's innovation costs, while supply chain enterprises receive policy benefits proportional to their contributions. Upstream and downstream enterprises determine wholesale and retail prices alongside their individual innovation efforts, while the government controls its own innovation effort and cost subsidy proportion. Using differential game theory, equilibrium strategies and optimal utilities are derived and compared under four scenarios: centralized decision without government subsidy (CN), centralized decision with government subsidy (CS), decentralized decision without government subsidy (DN), and decentralized decision with government subsidy (DS). Results demonstrate that the technology's contribution to demand and unit production cost reduction, combined with the government's preference for shale gas supply chain technological innovation, constitute the core drivers of innovation investment. These forces advance production technology, adjust price levels, and ultimately enhance the utility of all supply chain participants and the government. When upstream and downstream enterprises successfully negotiate reasonable cost-sharing and policy benefit-sharing ratios, the government's cost subsidy policy achieves a tripartite Pareto improvement while enhancing channel efficiency. When negotiations fail, the government can still achieve Pareto improvement by appropriately setting these ratios unilaterally. Notably, the allocation scheme whereby the downstream enterprise bears no innovation costs but retains all policy benefits contributes to overall supply chain Pareto optimality.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 182-199"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A simulation-optimization framework for enhancing the sustainability of hydrogen liquefaction through energy consumption minimization","authors":"Amjad Riaz , Muhammad Abdul Qyyum","doi":"10.1016/j.susoc.2026.03.001","DOIUrl":"10.1016/j.susoc.2026.03.001","url":null,"abstract":"<div><div>Optimization is an essential tool to improve the efficiency and economic viability of the hydrogen liquefaction process. To reduce the specific energy consumption (SEC) of this process, several optimization techniques have been employed; however, comparative research on their efficacy is scarce. This work presents a comprehensive and analytical evaluation of four optimization methods applied to a three-cycle mixed fluid cascaded hydrogen liquefaction process. The methods are Aspen HYSYS® built-in optimizer (BOX), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Knowledge-Based Optimization (KBO). To simulate the actual process and improve ortho-to-para hydrogen conversion, the study incorporates a redesigned simulation configuration that includes adiabatic looping reactors and a dedicated liquid hydrogen bath. The most important design factors were obtained through sensitivity analysis, which also determined the best lower and upper boundaries for optimization. The results show that KBO performs far better than other methods, attaining the lowest SEC (10.45 kWh/kgLH2), a 9.6% improvement over the base scenario. With a 7.7% decrease in SEC, PSO comes in second, proving its efficacy in managing constraints. On the other hand, due to initialization dependence and convergence in local optima, GA and BOX show limited benefits. This study demonstrates the importance of integrating domain expertise with computational optimization methods to enhance hydrogen liquefaction efficiency, paving the way for AI-assisted frameworks in sustainable energy systems.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 76-92"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612257","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":"Combating 3PCCL greenwashing with the blockchain technology under government enforcement","authors":"Lirong Wu, Yuan Guo, Xusheng Han","doi":"10.1016/j.susoc.2025.12.002","DOIUrl":"10.1016/j.susoc.2025.12.002","url":null,"abstract":"<div><div>This study examines the role of blockchain technology in combating greenwashing within the context of Third-Party Cold Chain Logistics (3PCCL) under varying intensity of government enforcement. This paper explores the conditions under which 3PCCLs engage in greenwashing, the impact of such behavior, the strategic decision-making of supplier regarding the adoption of blockchain technology and its value considering the high cost and enhanced environmental awareness among consumers, and the environmental impact of greenwashing. We construct a game-theoretic model to analyze the interactions between a supplier, a 3PCCL, and a retailer, incorporating consumer preferences for freshness, government enforcement, and the cost of blockchain and enhanced environmental awareness, resulting in the following three key points: (1) Greenwashing by 3PCCLs diminishes supplier and retailer profits, reduces consumer surplus. (2) The adoption of blockchain is not uniformly beneficial to supplier. It is economically viable for supplier to adopt blockchain when the associated costs are low and when government enforcement is not stringent. Furthermore, the study also highlights the positive impact of blockchain on social welfare, as it not only bolsters supplier profits but also improves consumer surplus and overall societal benefits. (3) The negative environmental impacts of 3PCCL's engagement in greenwashing are significant. Additionally, it unveils legislative recommendations aimed at combating greenwashing and enhancing societal well-being.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 17-32"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116513","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 enterprise risk management in construction: Insights from the United Arab Emirates","authors":"Raghad Almashhour , M.K.S. Al-Mhdawi , Abroon Qazi , Abdelkader Daghfous , Udechukwu Ojiako","doi":"10.1016/j.susoc.2026.02.002","DOIUrl":"10.1016/j.susoc.2026.02.002","url":null,"abstract":"<div><div>Enterprise Risk Management (ERM) frameworks are widely adopted in the construction industry; however, their integration with long-term sustainability objectives remains limited, particularly in rapidly developing countries such as the United Arab Emirates (UAE). Bearing this in mind, this study explores the key drivers and barriers affecting the successful implementation of Sustainable Enterprise Risk Management (SERM) frameworks in the UAE construction sector, with the goal of ensuring that risk management practices are resilient, forward-looking, and responsive to evolving project demands. A structured, multi-phase research design was applied. The study began with a systematic literature review to identify critical factors influencing SERM adoption. This was followed by semi-structured interviews to establish success criteria and inform hypothesis development. A structured survey of UAE construction professionals was then conducted, with the resulting data analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Finally, expert validation interviews were conducted to confirm the model’s practical relevance. Findings point to 54 influencing factors (organized into 11 thematic categories) affecting the successful implementation of SERM frameworks in the UAE construction sector. Analysis suggests that ‘<em>Governance and compliance’</em> had the strongest positive influence on the successful implementation of SERM while ‘<em>Technological and data limitations’</em> emerged as the most critical barrier. The findings offer actionable insights for firms seeking to future-proof their risk management strategies by incorporating sustainable principles into their organizational processes.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 128-145"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148183668","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":"Reseller or join? Recycling model selection in the EV power battery closed-loop supply chain under carbon trading","authors":"Dechao Han, Xin Li, Yurun Wei, Yiwen Liu","doi":"10.1016/j.susoc.2026.03.002","DOIUrl":"10.1016/j.susoc.2026.03.002","url":null,"abstract":"<div><div>With the introduction of carbon trading policy, the recycling of EV power batteries has become an important part of achieving sustainable development. This article examines two closed-loop supply chain recycling models for EV batteries: the reseller recycling model (R) and the joint recycling model (C). Using a Stackelberg game framework, we derive the optimal strategies for both models and then employ sensitivity analysis and numerical experiments to assess the impact of critical parameters (e.g., recycling rate, carbon trading price, competition intensity) on their performance. This article finds that the wholesale and retail prices remain the same no matter which recycling model is selected in the forward supply chain, while the joint recycling model achieves a higher recycling rate and lower carbon emissions in the reverse chain. Under carbon trading policy, the joint recycling mode yields superior comprehensive performance in both environmental and economic dimensions. The research perspective is practical and meets the development requirements of low-carbon economy.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 93-104"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147656340","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":"Corrigendum regarding duplicated references in previously published articles in Volume 5–Volume 7 and articles in press","authors":"","doi":"10.1016/j.susoc.2026.09.001","DOIUrl":"10.1016/j.susoc.2026.09.001","url":null,"abstract":"","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 216-217"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148995169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collaboration strategies of logistics packaging recycling under the context of the dual-carbon goals: A bounded rationality perspective","authors":"Qin Yang , Siyi Liu , Yubing Zhou , Yong Mao","doi":"10.1016/j.susoc.2026.05.001","DOIUrl":"10.1016/j.susoc.2026.05.001","url":null,"abstract":"<div><div>In the context of the dual carbon goals, reverse logistics plays a crucial role in advancing the circular economy and low-carbon transition. A key operational component is the recycling of logistics packaging, which requires strategic collaboration between logistics enterprises and recyclers. The effectiveness of such coordination directly affects both economic and environmental outcomes. However, existing literature lacks a comprehensive investigation into the dynamic interactions between these stakeholders under bounded rationality. To address this gap, this study draws on prospect theory to construct an evolutionary game model involving logistics enterprises and recyclers. From a bounded rationality perspective, it reveals the dynamic mechanisms behind stakeholders’ engagement in recycling and their mode choices, capturing behavioral traits such as loss aversion and probability distortion. The findings suggest that effective collaboration requires balancing strategic costs and government subsidies. In the system’s mature phase, synergy gains from technological progress and economies of scale can gradually replace subsidies. Rising carbon costs and carbon trading revenues facilitate the system’s evolution toward a stable equilibrium with active recycling and low-carbon adoption. Strategic benefits form the basis for decision-making, while losses from strategy mismatches inhibit collaboration. The model is validated through case simulations, offering theoretical support for policy design and firm collaboration in logistics packaging recycling under the dual carbon goals.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 146-168"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241839","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}
Makoena Sebatjane , Amir Hossein Nobil , Erfan Nobil
{"title":"Optimal circular economy index and replenishment decisions in carbon-constrained perishable inventory systems with expiration dates","authors":"Makoena Sebatjane , Amir Hossein Nobil , Erfan Nobil","doi":"10.1016/j.susoc.2026.05.002","DOIUrl":"10.1016/j.susoc.2026.05.002","url":null,"abstract":"<div><div>Given the environmental limitations of the traditional linear economic model, which prioritizes profit maximization, an increasing number of firms are transitioning to circular production systems. Initially based on the 3R principles of reduce, reuse, and recycle, the circular economy has, in recent times, evolved into broader frameworks such as 6R and 9R, incorporating additional strategies for sustainability and resource efficiency. This study proposes models for jointly optimizing inventory replenishment and circular economy indicators in perishable inventory systems with expiration dates, under carbon-constrained environments. Specifically, it investigates the impact of stock shortages and emissions policies on system performance. Four distinct inventory scenarios are analyzed, with the latter two incorporating partially backlogged shortages. To address these scenarios, four customized solution algorithms are developed and validated through computational experiments. For the scenarios involving partial backlogging, sequential quadratic programming is employed as the preferred optimization method. Findings reveal that while carbon cap policies effectively reduce emissions, they also constrain profitability. In addition, price management is a critical determinant of profitability because even marginal increases in unit gross profit can dramatically boost profitability, with the boost being more pronounced in unconstrained cases compared to cases under emission caps. These results underscore the importance of policy-driven incentive mechanisms, such as subsidies for low-emission technologies or the phased tightening of emission caps, in supporting firms to achieving environmental goals without compromising economic viability.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 114-127"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148183669","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":"Rural E-commerce supply chain management: A review","authors":"Jing Wang, Wenping Luo, Benjamin Ohene Kwapong Baffoe, Zongyuan Liu, Xianhua Wu","doi":"10.1016/j.susoc.2026.07.002","DOIUrl":"10.1016/j.susoc.2026.07.002","url":null,"abstract":"<div><div>The rapid expansion of e-commerce has generated new avenues for economic growth in rural regions worldwide. By embedding digital economy principles into supply chain management, rural e-commerce offers a pivotal pathway for the digital transformation of rural supply chains. Despite extensive practical progress in emerging economies such as China, India, and Southeast Asia, research on rural e-commerce supply chain management (RECSCM) remains fragmented, with limited systematic integration of existing findings. Accordingly, this study employs bibliometric and content analysis to systematically examine 189 English-language articles retrieved from the Web of Science database, published between 2007 and 2025. It synthesizes the research landscape and evolutionary trajectory of RECSCM, with a focus on key themes including supply chain integration, functional coordination, business models, and technological enablers. A comparative analysis of developed and developing countries further validates the cross-regional applicability of the synthesized results. The primary contribution of this study is the development of an integrated analytical framework spanning macro-, meso-, and micro-levels from a supply chain management perspective. This framework elucidates the multi-level operational mechanisms and evolutionary pathways of rural e-commerce supply chain management. Finally, this review highlights key future research directions, including the evolution and collaboration mechanisms of rural e-commerce supply chains, digital transformation, governance and policy design, logistics innovation, and sustainability. By integrating sustainability research from a supply chain management perspective, this study provides theoretical insights and practical references for advancing RECSCM across diverse global contexts.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"7 ","pages":"Pages 218-238"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149199214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}