International Journal of Production Economics最新文献

{"title":"Impact of cost structure and cannibalisation on live streaming pricing strategies","authors":"Le Wang ,&nbsp;Li Zhou ,&nbsp;Hing Kai Chan ,&nbsp;Tijun Fan","doi":"10.1016/j.ijpe.2025.109619","DOIUrl":"10.1016/j.ijpe.2025.109619","url":null,"abstract":"<div><div>Live streaming, as a new online selling channel, has gained popularity in recent years. However, introducing live streaming does not necessarily enhance the profitability of a brand. Strategic success hinges on accurately assessing when to introduce live streaming and crafting a reasonable pricing strategy. In essence, the introduction of live streaming complicates consumers' purchase decisions and intensifies channel cannibalisation from three standpoints: consumers' perceived value for products, consumers' purchasing cost among channels, and pricing strategy of the live streaming channel. Considering these factors, we construct models without and with live streaming and examine two pricing strategies, i.e., low pricing in the live streaming channel (low pricing strategy), and unified pricing in the live streaming and online direct channels (unified pricing strategy), to analyse the strategic integration of live streaming for dual-channel brands, thereby facilitating channel management and pricing strategies. The findings reveal that (1) brands should avoid introducing live streaming when consumers' cost of purchasing through the offline channel is either excessively high or low, opting instead to introduce it when the offline purchasing cost is moderate. (2) If consumers' cost of purchasing through the live streaming channel is low, the brand should implement the low pricing strategy; otherwise, adopting the unified pricing strategy becomes more appropriate. (3) The live streaming channel price after its introduction is higher than the online direct channel price without the introduction of live streaming. (4) When the brand introduces live streaming with the optimal pricing strategy, it not only boosts the brand's revenue but also enhances consumer surplus, achieving a win-win outcome for both the brand and consumers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109619"},"PeriodicalIF":9.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821461","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":"Internal reductions or carbon offset: How to achieve triple benefits in a consumer market with environmental concerns","authors":"Xue Wang,&nbsp;Deqing Ma,&nbsp;Jinsong Hu,&nbsp;Yun Liu","doi":"10.1016/j.ijpe.2025.109624","DOIUrl":"10.1016/j.ijpe.2025.109624","url":null,"abstract":"<div><div>Green and low-carbon production and operation methods have steadily emerged as one of the primary determinants of the enterprise's competitiveness in a consumer market concerned with environmental issues. This study examines a company that manufactures a single product and has the option of internal reductions only or purchasing carbon offsets along with internal reductions to reduce the product's carbon footprint. We developed a model to characterize the dynamic properties of the product's carbon footprint. The study finds that the consumer's level of environmental concern and the price of carbon offset are the main considerations for the firm's decision to develop carbon reduction methods. Interestingly, internal reductions and the purchasing carbon offset are not simple substitutions. When the price of carbon offset is extremely low, the firm purchases carbon offsets instead spur greater internal reductions. Another counterintuitive finding is that the firm with higher initial greenhouse gases from the product has relatively lower mitigation efforts. In addition, we obtain conditions under which the firm realizes economic, social, and environmental benefits from carbon footprint reduction methods. Finally, we extend our analysis to a scenario of duopoly competition and obtain similar conclusions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109624"},"PeriodicalIF":9.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792092","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":"Investigating the impact of strategic warehouse design and product clustering on supply chain viability: A unified robust stochastic programming approach","authors":"Ömer Faruk Yılmaz ,&nbsp;Beren Gürsoy Yılmaz ,&nbsp;Fatma Betül Yeni ,&nbsp;Alperen Bal","doi":"10.1016/j.ijpe.2025.109621","DOIUrl":"10.1016/j.ijpe.2025.109621","url":null,"abstract":"<div><div>This study investigates the enhancement of supply chain (SC) viability through the integration of strategic warehouse design and product clustering under uncertainty. An integrated supply chain–warehouse design and inventory-distribution planning (ISWDIDP) problem is examined using a novel Unified Robust Stochastic Programming (URSP) model that leverages the strengths of both stochastic programming (SP) for known-unknown uncertainties and robust optimization (RO) for unknown-unknown uncertainties in customer demand. Solution strategies are developed using an Artificial Bee Colony Algorithm (ABCA) tailored to four distinct warehouse design strategies and two product clustering methods based on the K-means algorithm. A design of experiments (DoE) framework is employed to evaluate the impact of various controllable factors across case studies with different levels of demand variability. Multiple performance metrics—including overall cost, shortage cost, supplier and storage-area utilization cost, distribution cost, order receiving and picking cost, and storage-area utilization rate—are used to assess SC viability in terms of demand satisfaction, structural variety, process flexibility, and efficient redundancy. Moreover, a real-life case study based on a cardboard manufacturing factory is presented to validate the proposed approach in a practical setting. The findings underscore the critical role of strategic warehouse design and product clustering in enhancing SC viability under deep uncertainty, demonstrating that product clustering using both demand and product size features significantly improves performance compared to not clustering products.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109621"},"PeriodicalIF":9.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785718","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":"Towards sustainable futures: Rethinking supplier selection through interval-valued intuitionistic fuzzy decision-making","authors":"Sepehr Hendiani,&nbsp;Grit Walther","doi":"10.1016/j.ijpe.2025.109620","DOIUrl":"10.1016/j.ijpe.2025.109620","url":null,"abstract":"<div><div>The idea of sustainable development has been broadly discussed in a variety of businesses as concern for environmental protection and social responsibility has grown. Sustainable supply chain management (SSCM), an innovative management concept, has emerged and is currently a popular topic within industries. One of the most important challenges in SSCM is selecting sustainable suppliers. Hence several multi-criteria decision-making (MCDM) methodologies have already been presented to tackle this issue. However, a methodology that calculates sustainability indicators for every supplier and ranks them in relation to how close they are to an adjustable ideal solution would be of interest. This paper introduces a novel MCDM approach which calculates performance ratings using the likelihoods approach, creates sustainability indicators using likelihood-based performances, and ranks the suppliers according to their distance to ideal sustainability by using interval-valued intuitionistic fuzzy (IVIF) information. Owing to a better handling of subjective imprecision and more precise priorities, this innovative interval-valued intuitionistic fuzzy cumulative likelihood-based distance to ideal solution (IVIFCLDTIS) approach helps decisions become more realistic. A greater precision of priorities and a considerable decrease of pairwise comparison and computational complexity as compared to the earlier methods are achieved. To explain the implementation steps and benefits of the recommended method, an illustrative case regarding the supply chain for the construction sector is also solved.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109620"},"PeriodicalIF":9.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enablers and barriers in building the circular supply chain through remanufacturing - Grey DEMATEL approach","authors":"Karolina Werner-Lewandowska,&nbsp;Paulina Golinska-Dawson,&nbsp;Rafał Mierzwiak","doi":"10.1016/j.ijpe.2025.109617","DOIUrl":"10.1016/j.ijpe.2025.109617","url":null,"abstract":"<div><div>Circular supply chains (CSCs) are one of the cornerstones of the circular economy (CE), as closing the material loop helps to recover value and improve resource-efficiency. The purpose of the study is to identify the main enablers and barriers in the transition from a linear supply chain to a circular supply chain through remanufacturing. We focus on electrical and electronic equipment (EEE), as, according to the European Commission guidelines, this sector has a high potential for circularity and is therefore one of the priority areas for a CSC implementation. Despite the high potential of remanufacturing to retain value in a supply chain, most CSC studies are centred on recycling. To fill this gap, we investigate the impact of six groups of factors related to legislation, collection system (take-back), technology, economics, products, and customers. As previous studies have shown interrelationships between factor categories, we employ a flexible multi-criteria grey DEMATEL (Decision Experimentation and Evaluation Laboratory) to effectively identify key enablers and barriers. The novelty of this exploratory research results from the focus on remanufacturing, which is under-represented in the context of CSC research, and the provision of actionable decision support to prioritise interrelated factors, with a particular focus on those that are enablers and barriers, through the application of a Grey DEMATEL. The results identify 12 enablers, among which the most influential are the introduction of ‘Right to Repair’, the application of a new service-based business model of EEE producers, and the increasing demand for secondary materials that provide an impulse to a more circular approach. The results reveal seven barriers, the most influential of which are the financial and organisational business requirements to initiate remanufacturing and the low availability of qualified staff. This research has practical implications, as it provides flexible and effective decision-making support for the transition from industry-dominant recycling to more circular value retention practices such as remanufacturing.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"284 ","pages":"Article 109617"},"PeriodicalIF":9.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance-based contract price negotiation with maintenance policies and limited resource allocation based on queueing and game theory","authors":"Canek Jackson ,&nbsp;Rodrigo Pascual ,&nbsp;Fredy Kristjanpoller","doi":"10.1016/j.ijpe.2025.109596","DOIUrl":"10.1016/j.ijpe.2025.109596","url":null,"abstract":"<div><div>Servitization has become an important source of improvement in competitiveness and profitability in manufacturing industries providing capital-intensive engineering assets. In recent years, bundled offers of products and services have been referred to as product-service systems (PSS). The customers adopting this approach in their operations are more concerned about the system outcome (e.g. availability) rather than acquiring low-priced isolated assets. To align contractor policies with customer goals, the parties negotiate a performance-based contract (PBC), as an alternative to traditional maintenance contracts from after-sales of purchased engineering assets. Several previous works have described the benefits and challenges of these approaches. However, the models that deal with the problem of optimizing maintenance policies while determining the best price structure that satisfies both parties during asset servitization, are still pending. We formulate a novel framework for manufacturers providing a fleet of engineering assets jointly with preventive maintenance services. A profit-centric approach is proposed to determine the contract price structure using bargaining game formulation to satisfy parties’ expectations, while the operating firm decides on the optimal maintenance interval. Variations on the manufacturer’s resource allocation, and other model parameters, are studied through sensitivity analysis to assess their impact on production economics for both parties.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109596"},"PeriodicalIF":9.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834252","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":"Gray market speculation: Analyzing retailer behavior and manufacturer strategies in the context of strategic consumer behavior","authors":"Zhaobo Chen ,&nbsp;Jiahang Wu ,&nbsp;Chunying Tian ,&nbsp;Zhiyong Liu","doi":"10.1016/j.ijpe.2025.109607","DOIUrl":"10.1016/j.ijpe.2025.109607","url":null,"abstract":"<div><div>The paper constructs a supply chain model consisting of a manufacturer and an authorized retailer and analyzes the motivation of the authorized retailer to engage (directly or indirectly) in gray market speculation under the premise of two types of consumers in the market: the myopic and the strategic. Furthermore, the model is extended in two aspects: the delayed availability of gray market products and the damage of gray market products on the manufacturer’s reputation. The analysis reveals the following conclusions: (1) The percentage of different types of consumers is the critical factor influencing the authorized retailer’s decision to participate in gray market speculation. When the market has a higher proportion of myopic consumers, the authorized retailer is more inclined to participate in gray market speculation and is willing to participate directly in gray market speculation rather than indirectly through a third party distributor. (2) After considering the time discount of the gray market product, the authorized retailer is more likely to choose speculative behavior. In particular, if consumers have more patience in waiting for gray market products, the likelihood of the existence of the gray market decreases, which is counterintuitive. (3) If gray market products have minimal impact on the manufacturer’s reputation, the manufacturer may encourage the existence of the gray market. Conversely, if the reputation is severely damaged by the presence of the gray market, the manufacturer needs to use a combination of wholesale pricing and regulatory efforts to manage the gray market.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"284 ","pages":"Article 109607"},"PeriodicalIF":9.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740048","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":"Third-party logistics outsourcing: A review of two decades of advancing decision-making approaches with an up-to-date three-layer criteria framework integrating environmental, social, and governance metrics","authors":"Viet Linh Dang ,&nbsp;Shuping Wan ,&nbsp;Jiequn Guo","doi":"10.1016/j.ijpe.2025.109615","DOIUrl":"10.1016/j.ijpe.2025.109615","url":null,"abstract":"<div><div>Selecting third-party logistics (3PL) providers is a crucial strategic decision for organizations seeking to enhance supply chain performance in today's dynamic business environment. This study explores the advancement of decision-making approaches for 3PL outsourcing, analysing 121 research articles published from 2002 to 2024. Through a comprehensive systematic literature review supported by descriptive and keyword co-occurrence analyses, the study identifies three primary methodological approaches: Multi-Criteria Decision Making (MCDM), Mathematical Programming (MP), and Artificial Intelligence (AI), with MCDM emerging as the most preferred approach. These methodologies show promising advancements in addressing traditional limitations, adopting data-driven approaches, integrating hybrid methods, managing uncertainty, and refining criteria development processes. Based on an analysis of 1662 selection criteria from the literature, the study proposes an up-to-date and universally applicable three-layer criteria framework focusing on five key aspects: Business Strength and Prestige, Service Excellence, Cost and Pricing, Technology Capabilities, and Sustainability (measured by Environmental, Social, and Governance metrics). This framework, enhanced by insights from industry experts and top 3PL companies, reflects a shift toward more holistic 3PL evaluation and selection. The study contributes to decision science and management literature while providing valuable insights for supply chain professionals, concluding with suggestions for future research directions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"284 ","pages":"Article 109615"},"PeriodicalIF":9.8,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740047","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":"Service supplier portfolio optimization approach for multi-channel digital marketing considering promotional capacity forecasts and channel synergies","authors":"Chong Wu ,&nbsp;Ruxuan Li ,&nbsp;David Barnes ,&nbsp;Yifan Shao","doi":"10.1016/j.ijpe.2025.109616","DOIUrl":"10.1016/j.ijpe.2025.109616","url":null,"abstract":"<div><div>An increasing number of companies are choosing to outsource their digital marketing to achieve better marketing effectiveness at lower costs. Given the importance of digital marketing to a company's brand image and product promotion, selecting the most appropriate and reliable digital marketing service (DMS) suppliers has become a critical decision. It is difficult for a single marketing channel to meet the promotion requirements and DMS suppliers are often limited in their business scope. It is therefore essential to optimize the DMS supplier portfolio from the vast number of potential portfolios in order to best achieve the company's operational and marketing objectives. However, existing optimization approaches often fail to adequately capture the multi-channel promotion, heterogeneity, and intangibility characteristics inherent in DMS. Accordingly, a systematic three-stage supplier portfolio optimization approach for multi-channel DMS is proposed. First, a novel prospect theory-mixed aggregation by comprehensive normalization technique (PT-MACONT) sub-model is proposed to filter out unqualified suppliers, considering the psychological attitudes of decision-makers, while avoiding the singularity of the supplier qualification evaluation dimension of prospect theory. Second, Bayesian networks are innovatively utilized to forecast the qualified suppliers' promotional capability in terms of heterogeneity and intangibility. Third, a targeted multi-objective optimization sub-model is constructed to obtain the ideal service supplier portfolio that effectively balances diverse marketing goals. Finally, data from a leading Chinese Internet company is used to verify the validity of the proposed approach. Sensitivity and comparative analyses are implemented to illustrate the advantages in practice of the proposed approach.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"284 ","pages":"Article 109616"},"PeriodicalIF":9.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747579","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 impact of customers’ MD&A sentiment on the bullwhip effect: A dyadic buyer-supplier perspective","authors":"Ke Du ,&nbsp;Fu Jia ,&nbsp;Lujie Chen","doi":"10.1016/j.ijpe.2025.109614","DOIUrl":"10.1016/j.ijpe.2025.109614","url":null,"abstract":"<div><div>Forward-looking disclosure sentiment is a practical reference signaling in examining companies' expectations about market opportunities and prospects. Although obtaining more comprehensive information can alleviate the bullwhip effect (BWE) caused by supply–demand mismatches in supply chains, few studies consider the impact of this sentiment at the supply chain level. Management discussion and analysis (MD&amp;A) sentiment, which reflects companies' expectations of future market conditions and understanding of demand prospects, sets the stage for addressing the gap. Adopting signaling theory, this study provides empirical evidence on the effects of signaling, represented by customers' MD&amp;A sentiment, on BWE in supply chains. We matched 348 Chinese manufacturing listed companies with their top five customers from 2007 to 2022, forming an unbalanced panel dataset of 1269 supplier-customer pairs. Our results show that customers' MD&amp;A sentiment has a U-shaped relationship with BWE, which indicates that customers' expectations of future prospective can influence suppliers' supply-demand matching. Furthermore, signaler characteristics represented by customer managerial myopia, signaling environment represented by customer transparency, receiver characteristics represented by supplier asymmetric cost management, moderate the U-shaped relationship. Our study provides a comprehensive perspective on the effects of customers' MD&amp;A sentiment on BWE from a dyadic buyer–supplier perspective. Moreover, our study also extends the application of signaling theory by considering the effects of the signaler's, signaling environment's, and receiver's characteristics on signaling effectiveness.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"284 ","pages":"Article 109614"},"PeriodicalIF":9.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740049","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}