International Journal of Production Economics最新文献

{"title":"The art of sustainable supply chain management: Inspiring supplier behavior through managerial practices and justice","authors":"Li Cui ,&nbsp;Ziyi Wang ,&nbsp;Lin Wu ,&nbsp;Lujie Chen ,&nbsp;Chenho Chao","doi":"10.1016/j.ijpe.2026.109966","DOIUrl":"10.1016/j.ijpe.2026.109966","url":null,"abstract":"<div><div>In the context of economic globalization, to realize sustainable progress, it has become essential for firms and their supply chains to adhere to business ethics and commit to environmental sustainability. While considerable research has explored the influence of organizational practices on firm performance, the mechanisms through which practices affect performance, particularly those that extend beyond organizational boundaries, remain underexplored. To overcome this gap, this study develops a practice-stakeholder behavior-performance framework, and uses social exchange theory, to examine how a buyer company's supply chain management practices affect suppliers' in-role and extra-role behaviors and, consequently, its own operational and environmental performance. In addition, this study investigates how justice moderates the relationship between buyer practices and supplier behaviors. Using a paired survey approach, data were gathered from manufacturing firms in a developing country to validate the proposed model. Results suggest that (1) buyers' socializing practices enhance both the in-role and extra-role behaviors of suppliers, whereas monitoring practices influence only in-role behaviors; (2) suppliers' in-role and extra-role behaviors positively affect both buyers' operational and environmental performances; and (3) distributive justice strengthens the relationship between buyers' monitoring practices and suppliers' in-role behaviors, whereas procedural justice enhances the effect of buyers' socializing practices on suppliers' extra-role behaviors. These findings provide theoretical references for buyer companies to formulate precision-based supplier management strategies to improve their own sustainable performance.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109966"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LLM-enabled carbon emissions abatement in green production: Single or double hedging?","authors":"Jiangyu Tong ,&nbsp;Yue Zhai ,&nbsp;T.C.E. Cheng","doi":"10.1016/j.ijpe.2026.109933","DOIUrl":"10.1016/j.ijpe.2026.109933","url":null,"abstract":"<div><div>In green supply chains, as consumers become increasingly sensitive to environmental concerns, manufacturers striving for greater carbon reduction find it essential to capture more market share through green production. However, uncertainties in the production process often result in actual carbon emissions abatement (CEA) levels falling short of targets. With the rise of large language models (LLM), which is known for enhancing decision-making and process optimization, there is a growing tendency to use LLM for facilitating CEA. This study examines the effectiveness and impact of LLM-enabled carbon emissions hedging (L-CEH) on green production performance under uncertain production process within a supply chain involving an upstream manufacturer of semi-finished products and a downstream manufacturer of finished products. We formulate four downstream-led Stackelberg models, including upstream single hedging, downstream single hedging, double hedging, and a non-hedging benchmark, to delineate the applicability and performance of each mechanism. To the best of our knowledge, this paper is among the first to theoretically analyze LLM performance in CEA while considering uncertainty control. Our findings indicate that both manufacturers can maximize profits under double hedging. While in single hedging scenarios, L-CEH adoption of the manufacturer who is more vulnerable to production uncertainties allows both enterprises to achieve higher profits. Notably, a manufacturer with a higher failure rate, though required to hedge, can attain significant profits by setting a lower carbon reduction target, provided the other enterprise with a lower failure rate sets a higher target.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109933"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incorporating human reliability analysis into project buffer management: A novel approach for enhancing project performance","authors":"Junguang Zhang ,&nbsp;Xi Wang ,&nbsp;Estrella Díaz","doi":"10.1016/j.ijpe.2026.109948","DOIUrl":"10.1016/j.ijpe.2026.109948","url":null,"abstract":"<div><div>Considering that the knowledge resources, behavioral preferences and cognitive styles of project team members can have an impact on the project execution process. In this paper, we propose a new buffer management model based on human reliability analysis. First, a multi-dimensional reliability assessment model is established based on team members' internal and external performance impact factors to quantify work reliability. Second, project buffers are determined by analyzing the correlation between member work reliability and project safety time. Finally, dynamic adjustment and continuous improvement during project monitoring ensures that tracking and adjustments are made based on team member status and project buffer consumption. The simulation results show that the comprehensive performance of project duration and cost is improved. This study can provide quantitative decision support for project managers to address the subjective preferences of team members in response to the impact of human behavior on system reliability.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109948"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Scheduled Joint Replenishment Problem","authors":"Miguel Chastre,&nbsp;Albert H. Schrotenboer,&nbsp;Christina Imdahl,&nbsp;Tom Van Woensel","doi":"10.1016/j.ijpe.2026.109930","DOIUrl":"10.1016/j.ijpe.2026.109930","url":null,"abstract":"<div><div>In many complex, integrated transportation and production settings, determining when customers are replenished is a highly debated tactical-level decision, given the interests of various upstream and downstream supply chain processes. In operational reality, such a replenishment schedule is often determined exogenously. Based on these observations, we introduce the stochastic Scheduled Joint Replenishment Problem (S-JRP), an extension of the classical stochastic Joint Replenishment Problem (JRP) that accounts for realistic operational constraints by incorporating exogenously set schedules that determine whether a replenishment order can be placed at any given period. A key distinguishing feature is that these schedules are different for each retailer. We define such schedules as infinitely repeating cycles that correspond, for example, to a week or month, making the S-JRP an extension of the <em>periodic</em> JRP. We model the S-JRP as a Markov decision process and determine optimal policies using value iteration. To solve larger problem sizes, we propose a time period-dependent can-order policy. The policy prescribes, for each replenishment opportunity of each retailer, a reorder point, an order-up-to-level, and a can-order level, at which an order is placed only if another retailer orders. We find the best parameters for this policy via a tailored genetic algorithm. We benchmark our period-dependent can-order policy against the optimal policy and various established heuristics from the JRP literature. Results demonstrate that the period-dependent heuristic achieves only 0.61% higher costs per period than the optimal policy without sacrificing service levels, and it significantly outperforms established heuristics that are not tailored to the retailers’ individual replenishment opportunities. We also highlight the period-dependent can-order policy structure, which closely resembles the optimal policy structure. In an extensive numerical study with up to 30 retailers, we observe that the Genetic Algorithm consistently provides well-performing policy parameters, with running times proportional to the number of retailers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109930"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of power structure on probabilistic selling in supply chains","authors":"Mengying Zhang ,&nbsp;Zihao Zhang ,&nbsp;Zhennan Yuan ,&nbsp;Huan Yu","doi":"10.1016/j.ijpe.2026.109940","DOIUrl":"10.1016/j.ijpe.2026.109940","url":null,"abstract":"<div><div>Opaque products are gaining increasing popularity across a wide range of markets, where sellers and their suppliers may possess asymmetric market power. To study how the distribution of power between supply chain members impacts the dynamics of probabilistic selling, this paper uses a game-theory-based framework to capture two different power structures in supply chains: a manufacturer-led structure and a retailer-led structure. Our work uncovers several important findings. First, we reveal that power structure plays an important role in shaping the introduction of probabilistic selling. Probabilistic selling is more likely to arise in the manufacturer-led supply chain when product differentiation is relatively small, whereas it is more likely to emerge in the retailer-led supply chain when product differentiation is substantial. Second, we show that the impact of probabilistic selling on the profitability of supply chain members varies with power structure. The dominant member always benefits from the adoption of probabilistic selling, while the subordinate member may experience a loss in profit. Third, we find that inter-party transfers within supply chains can facilitate the adoption of probabilistic selling, creating a “win-win” outcome. The direction of the transfers varies with the power structure. Our work advances the understanding of probabilistic selling under different power structures in supply chains.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109940"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain-embedded carbon emission allowance pledge financing: Resolving maturity mismatch with machine trust and collateral flexibility","authors":"Ting Yang ,&nbsp;Chaoqun Ma ,&nbsp;Xianhua Mi ,&nbsp;Hui Li ,&nbsp;Dongqing Chen","doi":"10.1016/j.ijpe.2026.109947","DOIUrl":"10.1016/j.ijpe.2026.109947","url":null,"abstract":"<div><div>Carbon emission allowances (CEAs), as one of the few “hard assets” of small and medium-sized enterprises (SMEs), hold significant potential for pledge financing. However, due to its compliance period constraints, CEA pledge financing faces fundamental challenges because of the inherent maturity mismatch between short-term compliance cycles (one year) and long-term financing needs (years). To address this issue, this study introduces a blockchain-driven cross-compliance-period CEA pledge financing framework that integrates 1) smart contract-driven automated CEA verification and transfer, 2) high repayment willingness ensured by network-wide broadcasting and tamper-proof records, and 3) a dynamic pledge rate adjustment mechanism. Using 2022–2023 market data, analysis based on the segmented Black-Scholes option pricing model demonstrates that this new framework not only enables enterprises to release carbon assets during the loan period without the need for supplementary collateral, but also achieve a higher pledge rate. However, it is worth noting that elevated market volatility and weak repayment capacity exert a negative influence on the bank’s pledge rate. By leveraging blockchain’s “machine trust” to create a generalizable mechanism for dynamic collateral management, this study offers a novel, technology-driven paradigm that addresses structural maturity mismatches in carbon finance and provides theoretical insights for the design of resilient, long-term green financing systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109947"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance evaluation of two-stage network systems with tradable intermediate measures: An application to China's steel industry","authors":"Junfei Chu ,&nbsp;Yanhua Dong ,&nbsp;Fangqing Wei","doi":"10.1016/j.ijpe.2026.109950","DOIUrl":"10.1016/j.ijpe.2026.109950","url":null,"abstract":"<div><div>When surplus intermediate measures arise in a two-stage production system, how to accurately evaluate the efficiency of the production system and quantify the actual benefits that idle resources can create is a decision-making problem that managers need to solve urgently. Traditional efficiency evaluation methods ignore the economic value of the excess intermediate measures through market transactions. To address this challenge, this paper proposes a new two-stage network data envelopment analysis (DEA) framework considering the tradability of intermediate measures, aiming to provide quantitative decision support for efficiency evaluation and optimal resource allocation. Specifically, it introduces a new production axiom that captures the possibility of trading, reconstructs the production possibility set (PPS), and subsequently develops a frontier-projection model that integrates trading decisions. The proposed model not only enables the simultaneous evaluation of overall system efficiency and the unique sub-stage efficiencies but also quantifies the additional revenue attainable through trading surplus intermediate measures, thereby offering managers a clear course of action that aligns technical improvement with financial gains. An empirical study of China's steel industry shows that this method can effectively identify efficiency bottlenecks and reveal considerable income potential (about 17.16 % on average). The conclusion has a clear decision-making reference value for promoting enterprise resource optimization and industry policy formulation.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"296 ","pages":"Article 109950"},"PeriodicalIF":10.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facilitation mechanisms for supply chain resilience-oriented inputs: a digitalization and enterprise alliance based perspective","authors":"Gang Tian ,&nbsp;Ziying Chen ,&nbsp;Ziyi Xia ,&nbsp;Hasnain Abbas ,&nbsp;Weihua Liu","doi":"10.1016/j.ijpe.2026.109962","DOIUrl":"10.1016/j.ijpe.2026.109962","url":null,"abstract":"<div><div>Proactive inputs oriented toward supply chain resilience (SCR) are essential for enhancing SCR capabilities and enabling enterprises to adapt to highly uncertain environments. However, cost-benefit imbalances result in insufficient input incentives among firms. While an expanding literature examines digitalization's role in SCR, research findings remain inconsistent, complicating efforts to promote SCR-oriented proactive inputs in digital settings. The question of whether and how enterprise alliances can encourage such inputs in digital contexts remains unresolved. Based on this new reality, this study comprehensively considers the positive and negative impacts of digitalization. And analyzes the impact of the enterprise alliance mechanism in scenarios in which the market mechanism has failed. The results indicate that: (1) Digitalization exerts a significant nonlinear effect on firms' SCR-oriented proactive inputs, and this effect is bounded by two thresholds. Firms will only provide such proactive inputs when their digitalization level falls between these two thresholds. (2) The market mechanism encounters failure when the proportion of SCR-oriented proactive inputs to returns surpasses a critical threshold. This situation prompts firms to shift their behavior away from investing in resilience. (3) Enterprise alliance mechanism serves as an effective solution to address market failures, but require careful calibration of subsidy and penalty levels. This mechanism can only work if the subsidies and penalties exceed certain thresholds. However, when applied excessively, these measures have certain limitations. A medium level of subsidies and penalties can better promote SCR-oriented proactive inputs by firms. This study clarifies the conditions under which digitalization and enterprise alliance mechanisms act on SCR-oriented proactive inputs.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"295 ","pages":"Article 109962"},"PeriodicalIF":10.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative information and capacity sharing: Strategies for managing uncertain demand with competitors","authors":"Jianghua Wu ,&nbsp;Luyao Li ,&nbsp;Yuhong He","doi":"10.1016/j.ijpe.2026.109965","DOIUrl":"10.1016/j.ijpe.2026.109965","url":null,"abstract":"<div><div>This research explores the collaborative information and capacity sharing strategy to mitigate supply-demand mismatches between two competing manufacturers under demand uncertainty. The transfer price in the capacity sharing contract can be determined either before or after demand is revealed, referred to as ex-ante and ex-post capacity sharing schemes, respectively. By comparing equilibrium outcomes across different sharing strategies, this research examines how transfer price determination timing affects manufacturers' production decisions, identifies manufacturers' optimal sharing strategies, and analyzes the implications for consumer surplus and social welfare. The results reveal, first, that under ex-ante capacity sharing, the transfer price initially decreases and then remains constant as capacity increases, while the transfer quantity varies non-monotonically with capacity, which may benefit only one manufacturer and may even induce the low-demand firm to exit market competition. In contrast, under ex-post capacity sharing, the transfer price decreases monotonically and the transfer quantity follows an inverted-U pattern in capacity, ensuring mutual profitability for both manufacturers. Moreover, ex-ante capacity sharing generates larger transfer quantities and generally involves lower transfer prices than ex-post capacity sharing. Second, information sharing benefits manufacturers, whereas capacity sharing occurs only at the moderate capacity level. Although ex-ante capacity sharing outperforms ex-post in most cases, strong market competition and high demand uncertainty make ex-post capacity sharing preferable. In addition, higher market competition intensity increases manufacturers’ incentives to adopt capacity-sharing strategy. Finally, capacity sharing improves consumer surplus and social welfare in most cases relative to no sharing, with ex-ante capacity sharing delivering the strongest welfare gains.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"295 ","pages":"Article 109965"},"PeriodicalIF":10.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Greener to Share? Green logistics service sharing decision at the E-commerce platform","authors":"Yixuan Feng ,&nbsp;Jia Song ,&nbsp;Yongrui Duan ,&nbsp;Jiazhen Huo","doi":"10.1016/j.ijpe.2026.109939","DOIUrl":"10.1016/j.ijpe.2026.109939","url":null,"abstract":"<div><div>The rapid expansion of e-commerce has exacerbated environmental challenges, compelling platforms to invest in costly green logistics practices to foster sustainability. This creates a critical strategic dilemma: should platforms bear these costs alone, or share their green logistics services with third-party sellers who are also their competitors? This study explores this strategic decision and the endogenous determination of logistics greenness. We develop a game-theoretical model to analyze the equilibrium outcomes under two distinct scenarios: a non-sharing case, where the platform is the exclusive green provider, and a sharing case, where the platform offers its green service to the third-party seller. Our analysis begins with a base model of green-aware consumers, who value greenness but compare all utility options. We then extend this to include strictly green consumers, who purchase only when green logistics is available, and green non-sensitive consumers, who are indifferent to greenness. Our analysis reveals that while the platform consistently benefits from sharing, the third-party seller's adoption is conditional. Counterintuitively, sharing is not universally advantageous for promoting greenness. When consumers' acceptance of the third-party seller is high and the green logistics investment cost coefficient is small, the platform strategically reduces greenness under sharing to mitigate the erosion of its competitive advantage. Furthermore, we find that an increase in the strictly green segment can perversely decrease the platform's greenness investment. Sharing may also induce the third-party seller to forego the green non-sensitive segment, focusing exclusively on green-aware consumers. These findings shed light on the interplay between green logistics service sharing, consumers' green preferences, and operational sustainability in e-commerce ecosystems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"295 ","pages":"Article 109939"},"PeriodicalIF":10.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}