International Journal of Production Economics最新文献

{"title":"Enhancing order fulfilment services on social livestreaming commerce: An evaluation of logistics experience scores","authors":"Ran Chen ,&nbsp;Haoyu Liu ,&nbsp;Kim Hua Tan ,&nbsp;Gu Pang ,&nbsp;Keru Duan","doi":"10.1016/j.ijpe.2025.109698","DOIUrl":"10.1016/j.ijpe.2025.109698","url":null,"abstract":"<div><div>In the realm of social livestreaming commerce, the enhanced interactivity relative to traditional e-commerce models induces considerable fluctuations in real-time orders. This variability necessitates the development of faster, more precise, and seamless order fulfilment processes to elevate customer satisfaction and foster long-term loyalty. As a leading platform in the social livestreaming commerce sector, TikTok has implemented a merchant experience rating system, which features the Logistics Experience Score (LES) to evaluate the logistics performance of its merchants. This study aims to explore the ways in which improving the order fulfilment processes can augment the logistics performance of merchants, with a particular focus on the LES as a primary metric. The research employed a two-phase design, consisting initially of surveys (N1 = 421) and subsequently, follow-up semi-structured interviews (N2 = 21) with TikTok merchants. The outcomes from the first phase underscore the pivotal role of IT infrastructure in enhancing the ‘order receipt’ and ‘pick and pack’ stages. Concurrently, Logistics Service Quality (LSQ) profoundly influences the ‘ship and transport’ and ‘order delivery’ stages. Most notably, the ‘ship and transport’ sub-process has emerged as a critical determinant impacting the LES, thereby underscoring its significance in shaping customer perceptions of logistics services. Findings from the second phase indicate that substantial improvements in the LES can be achieved through strategic investments in IT infrastructure and forging partnerships with reliable logistics providers. Such enhancements aim to increase the speed, efficiency, and reliability of shipping and transportation. Through these findings, this research contributes to the broader understanding of order fulfilment within the context of social livestreaming commerce, providing both theoretical and empirical insights that are valuable for merchants active in this field.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109698"},"PeriodicalIF":9.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243537","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":"Critical success factors for remanufacturing and reuse of equipment in the engineer-to-order shipbuilding industry","authors":"Erlend Alfnes ,&nbsp;Jonathan Gosling ,&nbsp;Mohamed Naim ,&nbsp;Heidi C. Dreyer ,&nbsp;Hedda Constance Høgseth","doi":"10.1016/j.ijpe.2025.109697","DOIUrl":"10.1016/j.ijpe.2025.109697","url":null,"abstract":"<div><div>Ship equipment is of extremely high value, making them prime products for remanufacturing and reuse. However, despite increasing efforts to regulate the impact of shipping on the environment by promoting circularity, the strategies extending the product life of marine equipment, especially in European shipbuilding, are limited. This paper aims to identify critical success factors that enable better decisions making for remanufacturing and reuse of equipment in the engineer-to-order (ETO) shipbuilding industry. It contributes with an empirical study addressing circularity in the maritime industry for ETO products, which are typically designed for a specific customer. The research is based on an inductive study incorporating multiple workshops within the Norwegian ship building industry and includes actors such as original equipment manufacturers (OEM), shipyards, ship operators, and a classification society. The type of equipment in focus includes thrusters, cranes, generator sets, and hydraulic power units. Critical success factors specific to shipbuilding remanufacturing and reuse are identified, which are compared and contrasted with existing generic factors from the literature. We also examine the potential tensions and areas of agreement between the actors in the supply chain in relation to the identified factors. Our results confirm the potential for interfirm tensions, indicating that tensions in terms of perceived levels of importance exist in relation to damage, transport, product types, product value, and material composition. The study proposes self-reflective managerial questions, as well as new research lines to undertake a whole systems evaluation of the opportunities for adopting remanufacturing and reuse in the shipbuilding supply chain.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109697"},"PeriodicalIF":9.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243538","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":"Stochastic network optimization for strategic resource pre-positioning and allocation","authors":"Katharina Eberhardt,&nbsp;Patricia Fuchß,&nbsp;Florian Klaus Kaiser,&nbsp;Sonja Rosenberg,&nbsp;Frank Schultmann","doi":"10.1016/j.ijpe.2025.109679","DOIUrl":"10.1016/j.ijpe.2025.109679","url":null,"abstract":"<div><div>This paper presents a stochastic network modeling approach to develop insights into strategic facility location planning, capacity management, resource pre-positioning, and allocation. The primary purpose of the proposed model is to present a cost-effective logistics network designed for efficiently handling diverse relief items across a spectrum of crisis scenarios. By incorporating stochastic elements, we aim to capture the inherent unpredictability of demand fluctuations and the impact of crises. Our approach optimizes facility sizes to leverage economies of scale while improving allocation decisions. Additionally, it ensures fairness across demand points by implementing a strategy to mitigate relative shortages. To demonstrate the practical applicability of our model, we conduct a computational case study utilizing instances from the national food stockpiling system in Germany. Moreover, we present a sensitivity analysis highlighting the impact of crisis intensity, increased storage and production capacity, and weighting decisions of transportation costs on facility location and assignment decisions. The results provide economic and managerial insights for public decision-makers, enhancing cost-effective disaster preparedness and network design. The case study shows that the proposed model optimizes inventory by eliminating excess quantities and favoring large warehouses, reducing costs through fewer locations. However, prioritizing rapid delivery results in a more decentralized network with smaller, costlier warehouses. The logistics network adapts to varying demand scenarios, strategically placing warehouses in densely populated regions with higher crisis risks.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109679"},"PeriodicalIF":9.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231964","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 in the pharmaceutical sector: empirical evidence on the associated challenges and countermeasures","authors":"Mirco Peron ,&nbsp;Nicolo’ Saporiti ,&nbsp;Rossella Pozzi ,&nbsp;Maria Pia Ciano","doi":"10.1016/j.ijpe.2025.109685","DOIUrl":"10.1016/j.ijpe.2025.109685","url":null,"abstract":"<div><div>The pharmaceutical sector is experiencing rapid growth in global medicine usage and spending. As the sector expands, so do risks. Blockchain technology promises significant benefits for addressing key issues in the pharmaceutical supply chains, such as enhancing traceability, preventing counterfeit drugs, and securing sensitive data. However, its adoption is not without criticism, facing challenges such as high implementation costs, regulatory uncertainties, and even skepticism about its purported benefits. This study provides the first empirical analysis of blockchain adoption challenges and countermeasures in the pharmaceutical industry. The research aims to identify key challenges and propose effective solutions to support broader implementation. A three-step methodology was employed: a systematic literature review to identify challenges, followed by a Delphi study to assess their relevance, and finally, a questionnaire collecting practical countermeasures. Seventeen major challenges and eight sets of countermeasures were identified and prioritized, with \"IT security\" being ranked as the most critical challenge and \"Education and training\" as the most effective countermeasure as it tackles more pressing challenges. The results were then analyzed using the Technology-Organization-Environment (TOE) framework and the Stakeholder Theory. The use of these complementary frameworks allowed to shed light on how different stakeholders can address the different challenges based on their roles, emphasizing the importance of their collective and collaborative efforts. This integration of theoretical frameworks provides valuable practical insights for addressing blockchain-related challenges and accelerating its adoption. Moreover, this research compares the pharmaceutical sector with other application areas, extending insights into blockchain adoption across industries.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"288 ","pages":"Article 109685"},"PeriodicalIF":9.8,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491808","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":"Product and price competition with selection of unique and common features and different quality levels","authors":"Burak Çelik ,&nbsp;Justus Arne Schwarz ,&nbsp;Barış Tan","doi":"10.1016/j.ijpe.2025.109667","DOIUrl":"10.1016/j.ijpe.2025.109667","url":null,"abstract":"<div><div>Firms must determine the best features and prices for their new products to be competitive in the market. We consider product features that are discrete and can have different quality levels. We formulate and solve the two competing firms’ new product introduction and pricing problems, in which both firms introduce their products sequentially. We differentiate unique features that are present only in one product and common features that are shared between two products. The firms’ new product introduction problem is formulated as a mixed-integer nonlinear program, and the firms’ pricing problem is formulated as a nonlinear program. These formulations allow a firm to determine the optimal features and the price in a competitive setting with general product value and cost functions. For linear product value and cost functions and a demand function linear in price but nonlinear in the number of features or the feature quality level selected, we analytically determine the firms’ optimal feature and quality level selection in anticipation of the features and the quality levels of the competitor’s product and the resulting equilibrium prices. The optimal selection of unique features depends only on the value and cost of that feature’s quality levels and the firms’ price sensitivities. A firm with a competitive advantage tends to include more features or high-quality feature levels in its products; otherwise, it differentiates its product via feature selection to lessen the substitution effects of common features. We identify cases where, despite the firms being symmetric other than their entry order, the leader’s optimal feature selection is introducing a product with fewer or lower quality features compared to the second firm. Despite this, the leader still obtains a higher profit than the second firm.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109667"},"PeriodicalIF":9.8,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231898","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":"Multi-factor driving paths of green supply chain management implementation in leading manufacturers: A fuzzy-set qualitative comparative analysis","authors":"Yihui Tian,&nbsp;Qinyuan Zhang,&nbsp;Tiffany C.H. Leung","doi":"10.1016/j.ijpe.2025.109689","DOIUrl":"10.1016/j.ijpe.2025.109689","url":null,"abstract":"<div><div>Environmental pollution and ecological exploitation have increasingly received global attention. Manufacturers in global supply chain are one of the biggest polluters. Green supply chain management (GSCM) has become an important operational strategy for companies to achieve sustainable production. Companies in different sectors implement GSCM practices in different ways. Therefore, it is important to understand which factors affect a company's GSCM and how these factors work together to drive corporate green behavior. Previous studies focused on the individual impact of GSCM practices, while a few studies have examined how different combinations of multiple factors lead to GSCM practices. This study uses content analysis and fuzzy-set qualitative comparative analysis (fsQCA) to analyze the main driving factors, such as the leading global manufacturing companies, market, competitors, and countries, on GSCM (n = 74). We apply configuration thinking and qualitative comparative research methods to explore the multiple concurrent factors and complex causal mechanisms that affect the differences in GSCM levels. The multiple configurations reveal the complexity of companies on GSCM. Finally, we discussed the theoretical and practical implications, limitations, and future research directions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109689"},"PeriodicalIF":9.8,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190124","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":"To adopt an online recommender system? A manufacturer’s strategic choice in a dual-channel setting","authors":"Chi Zhou ,&nbsp;He Li ,&nbsp;Mingming Leng ,&nbsp;Jing Yu","doi":"10.1016/j.ijpe.2025.109677","DOIUrl":"10.1016/j.ijpe.2025.109677","url":null,"abstract":"<div><div>The past years have witnessed the prosperity of online recommender systems. Some firms have utilized such systems to promote their products and services whereas others have not. To reveal the motivation to use recommender systems, we consider a dual channel setting in which a manufacturer sells his products to consumers in a direct-sale channel and also uses a wholesale channel to sell via an online retailer. The manufacturer decides on whether to use an online recommender system in the direct-sale channel or not, for both the case of the retailer’s adoption of the recommendation system and the case of no recommendation in the wholesale channel. Considering both the cost-per-sale (CPS) and cost-per-click (CPC) payment schemes in the context of the recommender system, we examine whether it is optimal for the manufacturer to adopt the recommendation service under two distinct scenarios: when the retailer utilizes the recommender system and when the retailer does not. Our game-theoretic analysis exposes that, if the retailer does not adopt the recommender system under both the CPS and CPC payment schemes, then the manufacturer’s system adoption decision depends on the recommendation strength and cost. We also find that the manufacturer can benefit from the CPS payment with a sufficiently low recommendation cost. When the retailer adopts the recommender system, the manufacturer’s optimal strategy is to abandon the recommender system under any payment scheme, and the manufacturer reduces his wholesale price when the recommendation strength increases.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109677"},"PeriodicalIF":9.8,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190123","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":"Machine learning applied to forecasting the manufacturing time of new products prototypes and ETO products: An exploratory study","authors":"Roberto Canedo Rosa ,&nbsp;Marcelo Carneiro Gonçalves ,&nbsp;Sanderson César Macêdo Barbalho","doi":"10.1016/j.ijpe.2025.109688","DOIUrl":"10.1016/j.ijpe.2025.109688","url":null,"abstract":"<div><div>Industry 4.0 is a transformative initiative that integrates various technologies and reshapes industrial processes, production methods, and business models. However, forecasting future events within this paradigm shift presents significant challenges. Predicting the cycle time for new product development (NPD) in a dynamic and competitive environment, especially in a highly globalized market driven by innovation, is crucial. Previous research has shown that prototype manufacturing lead times are key parameters for predicting NPD times-to-market. This study investigates the predictive capabilities of artificial intelligence algorithms in estimating manufacturing lead times under varying part geometries and materials at an aerospace and medical equipment company. By leveraging predictive analysis and machine learning techniques, specifically Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Random Forest (RF) algorithms, the proposed methodology demonstrates its efficacy and variations. The results show that top-performing models achieve an accuracy rate exceeding 87 % and an average absolute error of less than one day, which have significant practical benefits for project production planners. They can utilize the most popular AI frameworks on easier-to-use programming platforms to estimate the time required to manufacture their prototypes, predict their new product development (NPD) cycle times, and negotiate lead times for in-house and third-party manufacturing more effectively, thereby improving project planning and delivery.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109688"},"PeriodicalIF":9.8,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194934","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":"A novel robust optimization approach for supply chain resilience: The role of flexibility and collaboration","authors":"Seyed Ashkan Hosseini Shekarabi ,&nbsp;Reza Kiani Mavi ,&nbsp;Neda Kiani Mavi ,&nbsp;Flavio Romero Macau ,&nbsp;Sobhan (Sean) Arisian","doi":"10.1016/j.ijpe.2025.109686","DOIUrl":"10.1016/j.ijpe.2025.109686","url":null,"abstract":"<div><div>Supply chains are increasingly vulnerable to disruptive events that impair performance and stability. Despite research on supply chain resilience, a significant gap remains in risk management approaches on how to simultaneously minimize expected costs and control extreme cost variations. Existing methods neglect to narrow the gap between worst-case and best-case outcomes and to quantify the economic benefit of enhanced information in decision-making under uncertainty. This gap underscores the need for an integrated robust optimization framework that balances expected cost and risk while incorporating the assessment of novel digital technologies. In response, this study proposes a two-stage stochastic mixed-integer nonlinear programming (MINLP) model that introduces two new metrics: Evolutionary Modified Conditional Value at Risk (EMCVaR) and the Information Impact Metric (IIM). EMCVaR unifies tail risk, solution variance, and model infeasibility into a single measure, yielding a controllable and predictable cost range, while IIM quantifies the economic benefit derived from the data-driven decision support system. Moreover, our model incorporates digital technologies, such as advanced screening, predictive analytics, and real-time digital monitoring, to enhance supply chain flexibility and collaboration. Our computational analysis demonstrates that diversified resilience strategies reduce both expected and worst-case costs, decrease cost variability by up to 15 %, and narrow the gap between extreme outcomes by over 30 %. From a managerial perspective, the study recommends adopting EMCVaR as a risk-budget to bound cost volatility, employing IIM to prioritize digital-technology investments that accelerate recovery, and formalizing backup-capacity and spot-market clauses with key suppliers, an integrated strategy shown to reduce worst-case disruption costs by more than 30 % while limiting routine cost variability to roughly 7 %.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109686"},"PeriodicalIF":9.8,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204065","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":"Strategic counterfeit suppression on online platform: Considering network externalities and online consumer reviews in a two-period framework","authors":"Haiqing Song ,&nbsp;Kai Cao ,&nbsp;Housheng Duan","doi":"10.1016/j.ijpe.2025.109684","DOIUrl":"10.1016/j.ijpe.2025.109684","url":null,"abstract":"<div><div>The presence of counterfeiters on online platforms often has detrimental effects on consumers, authentic sellers, and the platforms themselves, highlighting the need for effective anti-counterfeit policies. In addition, consumer purchasing behavior is influenced not only by price and quality but also by online consumer reviews (OCRs). In this paper, we examine a two-sided market scenario where authentic sellers and counterfeiters coexist on an online platform, and consumers can use OCRs to assess product quality. We construct a two-period model to investigate how anti-counterfeiting efforts and pricing decisions by the platform and sellers evolve over time, considering the impact of network externalities and OCRs. Our findings reveal that without OCRs, increased anti-counterfeiting efforts consistently align with changes in retail prices and authentic sellers' profits. Interestingly, with OCRs, the platform can adopt one of two strategies: “<em>relaxed first, then strict</em>” or “<em>strict first, then relaxed</em>”, each with its own benefits, and the platform's efforts to combat counterfeiters do not consistently increase, and platform profits are not necessarily compromised. Furthermore, we find that the online platform earns lower profits with OCRs than without them. Contrary to past literature, our study shows that sellers may benefit from OCRs when there is a significant reference effect or low production costs. Additionally, the comparison of social welfare across different scenarios reveals that OCRs do not always enhance social welfare.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"287 ","pages":"Article 109684"},"PeriodicalIF":9.8,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194851","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}