Clara Filosa , Marin Jovanovic , Lara Agostini , Anna Nosella
{"title":"Pivoting B2B platform business models: From platform experimentation to multi-platform integration to ecosystem envelopment","authors":"Clara Filosa , Marin Jovanovic , Lara Agostini , Anna Nosella","doi":"10.1016/j.ijpe.2024.109466","DOIUrl":"10.1016/j.ijpe.2024.109466","url":null,"abstract":"<div><div>The landscape of digital servitization in the manufacturing sector is evolving, marked by a strategic shift from traditional product-centric to platform business models (BMs). Manufacturing firms often employ a blend of approaches to develop business-to-business (B2B) platforms, leading to significant reconfigurations in their BMs. However, they frequently encounter failures in their B2B platform development initiatives, leading them to abandon initial efforts and pivot to alternative platform strategies. Therefore, this study, through an in-depth case study of a manufacturer in the energy sector, articulates a three-phase pivoting framework for B2B platform BMs, including platform development and platform strategy. Initially, the manufacturer focused on asset-based product sales supplemented by asset maintenance services and followed an emergent platformization strategy characterized by the rise of multiple, independent B2B platforms catering to diverse functions. Next, focusing on the imposed customer journey strategy, the firm shifted towards a strategic multi-platform integration into an all-encompassing platform supported by artificial intelligence (AI), signaling a maturation of the platform BM to combine a wide range of services into an energy-performance-based contract. Finally, the last step of the firm's platform BM evolution consisted of a deliberate platform strategy open to external stakeholders and enveloping its data-driven offerings within a broader platform ecosystem. This article advances B2B platform BMs and digital servitization literature, highlighting the efficacy of a progressive approach and strategic pivoting.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109466"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138125","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":"A personalized content-based method to predict customers’ preferences in an online apparel retailer","authors":"Alireza KabirMamdouh , A. Gürhan Kök","doi":"10.1016/j.ijpe.2024.109487","DOIUrl":"10.1016/j.ijpe.2024.109487","url":null,"abstract":"<div><div>A critical decision for an online retailer is to select a set of products out of thousands of possible choices to present to the customers on a web page. The retailer may prefer to offer a different set for each customer because customers have heterogeneous preferences. Thus, to offer the optimal set, the retailer needs to know the customer’s preferences. We propose a new personalized content-based method to comprehend customers’ preferences in an online retailer based on customers’ previous clicks and purchases and attributes of the products. We represent each product with an attribute vector that consists of all attributes of a product, e.g. color and brand. Then, for each customer, a score is assigned to each attribute vector based on the customer’s previous preferences, representing his/her interest in that combination of attributes. We test the method using data provided by an apparel retailer. Our method outperforms benchmark methods (including Collaborative Filtering) in predicting customers’ preferences (i.e. clicks and purchases) in general, and it has a strictly better performance in predicting customers’ preferences over new products. Also, our method outperforms benchmark methods with a high margin in predicting the preferences of customers who are not generally interested in popular products. Finally, we implement a hybrid method consisting of all implemented methods named the Smart Selection. This method outperforms all methods in predicting clicks and purchases with a high margin. This shows that our method provides a complementary approach for Collaborative Filtering by successfully addressing the limitations of commonly used methods.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109487"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138121","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":"Assessing the antecedents, processes, and consequences of sustainable electric vehicle battery recycling: A systematic literature review","authors":"Jiaqi Luo, Ying Yang, Yan Jiang","doi":"10.1016/j.ijpe.2025.109551","DOIUrl":"10.1016/j.ijpe.2025.109551","url":null,"abstract":"<div><div>The rise of vehicle electrification as a transformative trend in the transportation sector has accelerated the global production and adoption of electric vehicles (EVs) and a growing number of EV batteries reaching the end of their life cycle. EV battery recycling has emerged as a critical area of focus due to its profound implications for sustainable performance. The European Union's Regulation Concerning Batteries and Waste Batteries (EU) 2023/154, introduced in September 2023, further underscores the importance of EV battery recycling for sustainability. Businesses are progressively embracing innovative recycling strategies to meet evolving regulations and advance sustainability objectives. However, despite growing interest, existing research on EV battery recycling remains fragmented and lacks a cohesive, systematic framework to guide advancements in this field. To bridge this gap, this paper conducts a systematic review of the literature, analysing 148 articles sourced from Scopus and Web of Science. The analysis reveals that government policies are the primary drivers (antecedents) of EV battery recycling efforts. Recycling processes involve diverse methodologies, stakeholder collaborations, and innovative business models, which collectively yield significant environmental and economic benefits (consequences). However, these processes also face challenges that require interdisciplinary and multi-stakeholder approaches. This paper proposes several future research directions to enhance the sustainability of EV battery recycling. These include expanding the scope of studies to incorporate diverse contexts and advanced theoretical frameworks; evaluating the effectiveness of various policy interventions; exploring innovative strategies to optimize recycling processes; and rigorously assessing their environmental and economic viability.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109551"},"PeriodicalIF":9.8,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348419","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":"Additive manufacturing scenario for automotive spare parts supply: A case study approach","authors":"Alexander Bade, Rainer Lasch, Nick Schneider","doi":"10.1016/j.ijpe.2025.109552","DOIUrl":"10.1016/j.ijpe.2025.109552","url":null,"abstract":"<div><div>The rise of Industry 4.0 technologies is transforming the automotive industry. Additive manufacturing is one innovation that could prove pivotal in the automotive spare parts supply chain. On-demand production, enabled by additive manufacturing, could lead to significant cost savings by reducing inventory. The complex structure of the automotive supply chain offers many opportunities for the positioning of additive manufacturing and realizing the potential for production closer to the point of use. While several scenarios for the positioning of additive manufacturing have been proposed in the literature, there is a lack of empirical research and case studies evaluating the practicality of the scenarios. An embedded single case study was conducted with eight key informants from the automotive industry to extend the theory and examine the feasibility of the scenarios from the literature in practice. The findings suggest the implementation of additive manufacturing in a regional distribution center or outsourcing to additive manufacturing service providers. Both scenarios have shortcomings that are of practical importance. Implementing additive manufacturing in various regional distribution centers would require greater investment by the original equipment manufacturer while outsourcing to additive manufacturing service providers would entail costly certification procedures. With this in mind, a two-stage implementation scenario was developed and validated. This scenario proposes the production of spare parts in a regional distribution center or at an additive manufacturing service provider, depending on the complexity of the manufacturing process. The responsibilities of each participant in the automotive supply chain are discussed, and an exemplary process flow is presented.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109552"},"PeriodicalIF":9.8,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143266816","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":"Beyond efficiency: Revisiting AI platforms, servitization and power relations from a critical perspective","authors":"Başak Canboy , Wafa Khlif","doi":"10.1016/j.ijpe.2025.109550","DOIUrl":"10.1016/j.ijpe.2025.109550","url":null,"abstract":"<div><div>This study examines the evolving power dynamics within servitization ecosystems, and especially the role of AI platform providers in them. Drawing on French and Raven's (1959) bases of power, as well as resource dependence theory, we propose a conceptual model that shows how AI providers centralize control and reshape power relations. As AI integrates into servitization, providers leverage informational and expert power through data management and algorithmic expertise, alongside legitimate and referent power, to influence behaviours, promote risk-taking, foster dependency, and establish themselves as central authorities setting standards and norms. They further exploit coercive and reward power to impose conditions and offer incentives that deepen platform reliance, ultimately dominating the ecosystem and establishing a quasi-monopolistic position. We enrich the servitization literature by challenging the prevailing view that AI adoption benefits downstream manufacturers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109550"},"PeriodicalIF":9.8,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436424","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":"Manufacturers’ performance with industrial symbiosis under cap-and-trade policy considering waste supply-demand mismatch","authors":"Quanyao Cao , Zhongdong Xiao , T.C. Edwin Cheng , Qiangfei Chai","doi":"10.1016/j.ijpe.2025.109523","DOIUrl":"10.1016/j.ijpe.2025.109523","url":null,"abstract":"<div><div>As a circular economy subfield, industrial symbiosis could relieve resource scarcity and ecological damage. This paper considers an industrial symbiosis chain in which a downstream manufacturer can replace raw materials with waste from an upstream manufacturer for production. We develop a two-stage Stackelberg game to investigate the effects of industrial symbiosis on firm performance under the cap-and-trade policy. We also study the emissions-dependent price scenario, where the price considers the consumer's green preference. Contract design between firms in an industrial symbiosis chain is explored. We obtain the following findings. First, the cap-and-trade policy can encourage manufacturers to make abatement investments when emissions allowances reach certain thresholds. Second, the cap-and-trade policy hinders the upstream manufacturer's emissions reduction due to industrial symbiosis when the waste demand does not exceed supply. Third, industrial symbiosis could improve the downstream manufacturer's abatement level under moderate regulations and increase its emissions reduction amount under stringent regulations. Finally, the two manufacturers can achieve a win-win outcome through industrial symbiosis under the cap-and-trade policy, and a quantity discount contract can achieve Pareto improvement.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109523"},"PeriodicalIF":9.8,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419260","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":"Reselling or hosting? Examining platform’s co-opetition strategy with third-party sellers","authors":"Xuhong Wang , Yongbo Xiao , Yifan Dou","doi":"10.1016/j.ijpe.2025.109520","DOIUrl":"10.1016/j.ijpe.2025.109520","url":null,"abstract":"<div><div>E-commerce retailers (etailers) often run the self-operated storefronts while hosting stores from third-party sellers (3PSs), which potentially causes the price competition in between. Besides, the etailer may be better off because of the commission contributed by these 3PSs’ stores. Motivated by the real-world practice, our paper studies the cooperation and competition strategy with 3PSs from the perspective of an etailer. Specifically, our paper extends the prior literature from two aspects: (1) we look into the scenario where the 3PS serves as the supplier such that a co-opetition case emerges; (2) we compare the cases with exogenous and endogenous wholesale prices. Benchmarked by a standard two-channel structure, we find that, when the 3PS plays a dual role (i.e., a supplier and a marketplace seller), co-opetition is more preferred as the 3PS is better off when the etailer opens a competing, self-operated store, suggesting a more nuanced relationship between the etailer’s platform and 3PSs. What is more, a powerful etailer can capitalize its advantage of consumer reach by inducing the supplier to choose a particular channel structure.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109520"},"PeriodicalIF":9.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143266871","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":"Design of supply chain resilience strategies from the product life cycle perspective","authors":"Yi Yang , Chen Peng , En-Zhi Cao","doi":"10.1016/j.ijpe.2025.109532","DOIUrl":"10.1016/j.ijpe.2025.109532","url":null,"abstract":"<div><div>Supply chain (SC) resilience strategies are frequently employed to hedge against disruptions. Despite a substantial body of literature examining the design of SC resilience strategies, there is a paucity of literature exploring the impact of the product life cycle (PLC) on the design of such strategies. This paper presents scenario-based and time-dependent mixed integer programming mathematical models for optimizing performance in terms of costs and service levels. The models consider the distinctive characteristics of each PLC phase. Simulation-based analyses are utilized to simulate disruptions at different stages of the PLC and to explore the impact of the PLC on SC resilience strategies design. Moreover, a resilience multi-portfolio method is modified using simulation techniques to determine optimal resilience portfolios from the PLC perspective. Through computational examples and sensitivity analysis, our models are capable of achieving resilience supply and production portfolios by making a trade-off between costs and service levels from the PLC perspective. The results illustrate that our approaches facilitate the identification of critical relationships between the severity of disruptions and the formulation of SC resilience strategies in terms of the PLC. The findings are instructive for SC managers when considering the impact of disruptions from the perspective of the PLC.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109532"},"PeriodicalIF":9.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143266873","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}
Baozhuang Niu , Chengwei Lai , Zebin Zheng , Zhiyuan Qi , Zhipeng Dai
{"title":"AI quality control in competitive recycling facing material contamination","authors":"Baozhuang Niu , Chengwei Lai , Zebin Zheng , Zhiyuan Qi , Zhipeng Dai","doi":"10.1016/j.ijpe.2025.109541","DOIUrl":"10.1016/j.ijpe.2025.109541","url":null,"abstract":"<div><div>In a typical material recycling supply chain, material recovery facilities (MRFs) are generally classified as dirty MRFs(dMRFs) whose material faces contamination and clean MRFs(cMRFs) whose material is of high clarity. As the downstream manufacturer, purchasing from dMRFs or cMRFs faces the trade-off between material purchasing price (dMRF's material is cheaper) and the waste disposal cost (dMRF's contaminated material will be wasted and disposed of). This also motivates dMRFs to adopt an AI quality control system to eliminate contamination. We build a game-theoretic model to analyze the decision-makers’ incentive of AI adoption and interesting findings include: (1) Even AI quality control pushes the purchasing price upward, dMRF's supply quantity can be surprisingly reduced, indicating “inefficient use of AI”; (2) AI quality control cost and the manufacturer's waste disposal cost exhibit a substitutable relationship in promoting the dMRF's AI adoption. These findings provide important insights for managers in formulating purchasing strategies, investment decisions, and AI adoption. They are suggested to pay attention to win-win-win situations regarding the dMRF's profit, the manufacturer's profit, and the system's environmental sustainability with the dMRF's AI quality control. Since all-win situations for the stakeholders will not sustain as the equilibrium, subsidy schemes should be designed to improve the cMRF's profit.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109541"},"PeriodicalIF":9.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143266869","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}
Na Luo , Zhangwei Feng , Yanping Liu , Sihong Wu , Xiaoxiao Liang
{"title":"Tackling food waste: The role of food suppliers’ investment in preservation technology and government intervention","authors":"Na Luo , Zhangwei Feng , Yanping Liu , Sihong Wu , Xiaoxiao Liang","doi":"10.1016/j.ijpe.2025.109542","DOIUrl":"10.1016/j.ijpe.2025.109542","url":null,"abstract":"<div><div>Investing in preservation technologies (PT) within the food industry has become increasingly important owing to global food crises. While many studies analyze the benefits and costs of investing in PT, there is a limited understanding of how market prices and food deterioration rates influence these investment decisions. Additionally, the impact of government interventions on this process has not been thoroughly explored. This study aims to address these knowledge gaps, motivated by data from interviews, by using optimization models to analyze food suppliers’ investments in PT amid varying market prices, transportation costs, and deterioration rates. Our findings identify specific conditions that drive PT investment, including scenarios where deterioration rates and market prices fall within certain ranges, and where low transportation costs align with high or moderate market prices. Moreover, government interventions can support PT investment by improving these conditions, though their effectiveness may be limited if suppliers lack access to affordable low-carbon PTs or face high costs. We also identify a breakeven point for social welfare, showing that excessive taxation can significantly reduce welfare. This study introduces a novel framework that integrates multiple elements to offer a deeper understanding of the motivations behind suppliers' investment decisions. It seeks to align supplier incentives with the goals of sustainable food supply chains, thereby fostering more effective policy strategies for tackling food waste. The insights gained will offer valuable guidance to practitioners and identify avenues for future research.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"282 ","pages":"Article 109542"},"PeriodicalIF":9.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143266872","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}