Maciel M. Queiroz , Ana Beatriz Lopes de Sousa Jabbour , Mehdi Bagherzadeh
{"title":"Crowdsourcing-enabled AI: Unlocking value in digital services","authors":"Maciel M. Queiroz , Ana Beatriz Lopes de Sousa Jabbour , Mehdi Bagherzadeh","doi":"10.1016/j.ijpe.2025.109586","DOIUrl":"10.1016/j.ijpe.2025.109586","url":null,"abstract":"<div><div>Despite the existing literature on the role of digital tools, such as Artificial Intelligence (AI) tools, in creating high-value digital services, empirical insights into the role of <em>crowdsourcing-enabled AI</em> tools, those leveraging crowdsourcing to gather the data necessary for AI tool development, remain limited. This gap is especially notable when considering the type of crowdsourcing participants (e.g., general crowd versus specialists) and the pace of technological change in the business landscape, as critical factors in developing digital service using <em>crowdsourcing-enabled AI</em> tools. Drawing on a cross-industry sample of firms collected through an online survey, our findings reveal that involving both the general crowd and specialists contributes to value creation by enhancing customer relationships, improving production and operations, and advancing product and service development. However, in environments characterized by rapid technological change (i.e., high technological turbulence), the involvement of specialists with expert knowledge becomes essential for value creation. These findings highlight the importance of selecting suitable crowdsourcing participants based on the pace of technological change to ensure that digital services developed through <em>crowdsourcing-enabled AI</em> tools deliver substantial value. This study highlights the critical role of leveraging <em>crowdsourcing-enabled AI</em> tools in the development of high-value digital services. It also emphasizes the necessity of considering contingency factors —such as the type of crowdsourcing participants and the degree of technological turbulence —when studying how digital services generate value. By defining the boundary conditions under which such digital services succeed, our research advances the literature and provides clarity on why some digital services achieve success while others do not.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109586"},"PeriodicalIF":9.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563758","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}
Liangxing Shi , Xiaolei Lv , Yalong Wang , Yingdong He , Zhen He
{"title":"Joint optimization strategy based on a three-state manufacturing system considering dynamic buffers","authors":"Liangxing Shi , Xiaolei Lv , Yalong Wang , Yingdong He , Zhen He","doi":"10.1016/j.ijpe.2025.109587","DOIUrl":"10.1016/j.ijpe.2025.109587","url":null,"abstract":"<div><div>This paper investigates the joint optimization problem for imperfect manufacturing systems with two production states (controlled and uncontrolled) and one failure state. To simultaneously optimize the quality, maintenance, and production strategies, researchers typically employ a fixed buffer stocking time. However, this approach can lead to excessive holding costs or stockouts. Therefore, we formulate a dynamic buffer replenishment problem in which the buffer replenishment time is treated as a variable that adjusts according to the actual production conditions. Additionally, we consider the effect of the defect rate in the uncontrolled state, where there is a probability of producing defective products; this allows for the real-time detection of uncontrolled systems. Then, we present a new joint control model constructed to derive optimal production, maintenance, and quality strategies by minimizing the expected average cost per unit of time. We use a numerical example to evaluate the proposed model, and the numerical results show that our strategy is more cost-effective than the model with a fixed buffer time that does not consider the quality strategy. The results indicate that the proposed model is more realistic than existing models and can help companies achieve higher profits.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109587"},"PeriodicalIF":9.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563759","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":"Cross-channel influence of blockchain technology on green supply chains under asymmetric retail platform competition","authors":"Chung-Chi Hsieh, Ching-Yu Wu, Artya Lathifah","doi":"10.1016/j.ijpe.2025.109584","DOIUrl":"10.1016/j.ijpe.2025.109584","url":null,"abstract":"<div><div>As consumer demand for eco-friendly products continues to grow, manufacturers are increasingly driven to enhance product greenness and disclose this information. Blockchain technology emerges as a pivotal enabler, facilitating credible communication of manufacturers’ sustainability efforts to consumers through retail platforms and influencing supply chain decisions concerning sustainability, pricing, and blockchain adoption. While existing research has extensively examined the positive moderating effect of blockchain technology on consumers’ perceived value of product greenness in retail competition or green supply chain contexts, there remains a significant gap regarding its cross-channel influence in situations of information disclosure asymmetry across retail platforms. To address this gap, we investigate the interactive dynamics of a green supply chain under asymmetric platform competition, where the incumbent platform offers blockchain services while the new platform does not. Our findings indicate that the manufacturer’s decision to adopt blockchain depends significantly on market conditions. Notably, the manufacturer’s inclination towards blockchain adoption widens for a broader range of blockchain costs when the cross-channel influence is pronounced. Moreover, the alignment of the manufacturer’s blockchain adoption strategy with the incumbent platform’s preference is not guaranteed. In scenarios where their interests diverge, joint efforts to reduce blockchain costs can be a viable strategy. Our parametric analysis further reveals that while the cross-channel influence contributes positively to enhancing product greenness and the manufacturer’s profit, it could diminish the profits of both platforms under certain conditions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109584"},"PeriodicalIF":9.8,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549140","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}
Jing Peng , Yu Zhang , Tengfei Nie , Zixin Liu , Jianghua Zhang , Qingchun Meng
{"title":"Composite contract design for enhancing emergency reserves","authors":"Jing Peng , Yu Zhang , Tengfei Nie , Zixin Liu , Jianghua Zhang , Qingchun Meng","doi":"10.1016/j.ijpe.2025.109581","DOIUrl":"10.1016/j.ijpe.2025.109581","url":null,"abstract":"<div><div>To mitigate the impact of material shortages caused by emergencies, the government typically adopts an option contract to entrust enterprises with reserving materials in advance. During an emergency, the government purchases the materials wholesale and sells them to consumers. We integrate revenue-sharing and price-discount mechanisms into the option contract to explore effective ways to increase reserve quantity. We study three contracts: The option (OP) contract, a combination of the traditional option contract and a reward/punishment mechanism; the option and revenue-sharing (RS) contract, which allows the government to share part of the sales revenue with the enterprise based on the OP contract; and the option and price-discount (PD) contract, which involves the government selling materials at a discounted price based on the OP contract. First, we find that only when the government-required reserve quantity is relatively large can the government encourage an enterprise to reserve materials in advance through the OP, RS, and PD contracts. Moreover, only when the government-required reserve quantity is significantly larger dose the optimal reserve quantity under the RS or PD contracts exceed that under the OP contract. Second, compared to the OP contract, the government’s utility always decreases under the RS contract, while it can either increase or decrease under the PD contract. Both the RS and PD contracts have the potential to increase the enterprise’s utility, which depends on the government’s revenue-sharing and price-discount rates. Finally, we also consider other reserve modes: The government-enterprise joint reserve (GER) mode, which involves both the government and the enterprise reserving materials in advance; and the physical and production capacity reserve (PCR) mode, which combines the enterprise’s advance reservation with its immediate production after an emergency. We study the impact of the OP, RS, and PD contracts on the total reserve quantity in the GER and PCR modes and compare them with the base model, which only has enterprise reserves. The RS contract has the broadest applicability, followed by the OP and PD contracts.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109581"},"PeriodicalIF":9.8,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563757","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":"Balancing worker and producer benefits in economic production quantity","authors":"M.A. Darwish","doi":"10.1016/j.ijpe.2025.109582","DOIUrl":"10.1016/j.ijpe.2025.109582","url":null,"abstract":"<div><div>Worker welfare and operational efficiency are critical components of production systems, yet they are often considered separately in the literature. This paper integrates these two aspects by extending the classical Economic Production Quantity (EPQ) model to account for worker fatigue accumulation and recovery. We use a linear function to model fatigue, estimated using the least squares method, as it provides a practical representation of fatigue pattern. By explicitly incorporating fatigue as a time-varying factor, this study provides a more accurate description of production dynamics, providing practical insights for labour-intensive industries such as manufacturing.</div><div>Unlike previous lot-sizing models that incorporate worker fatigue, this paper focuses on manufacturing, exploring challenges such as inventory buildup and depletion throughout the inventory cycle. The proposed model finds the optimal lot size by minimizing total costs for producers while ensuring workers protection through fatigue limits.</div><div>The model converges to the classical EPQ and EOQ models when specific input parameters are set to certain values, demonstrating its adaptability. An extensive sensitivity analysis using a 3<sup>9</sup> factorial design is conducted, resulting in a comprehensive computational analysis involving solving 16,427 optimization problems, which further strengthens the robustness of the proposed model. This enhances the understanding of model parameter interactions and ensures its applicability in real-world scenarios.</div><div>The findings suggest that integrating worker fatigue dynamics into the EPQ model not only optimizes production but also contributes to improved worker well-being and cost management. Thus, this model provides a mutually beneficial framework for both producers and workers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109582"},"PeriodicalIF":9.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549139","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}
Guilherme Luz Tortorella , Tarcisio Abreu Saurin , Moacir Godinho Filho , Rafaela Alfalla-Luque , Andrea Trianni
{"title":"Are we truly ready for what is coming? A reflection on supply chain resilience in face of megatrends","authors":"Guilherme Luz Tortorella , Tarcisio Abreu Saurin , Moacir Godinho Filho , Rafaela Alfalla-Luque , Andrea Trianni","doi":"10.1016/j.ijpe.2025.109585","DOIUrl":"10.1016/j.ijpe.2025.109585","url":null,"abstract":"<div><div>Supply chains (SCs) have increasingly faced major disruptive events that defy existing management approaches, affecting their processes in both the short and long term. Current megatrends (e.g., digital transformation, aging population, growing urbanization, shifts in consumer demands, geopolitical tension, depletion of natural resources, climate change) have impacted organizations, requiring managers to rethink the foundational assumptions and develop new capabilities to obtain more resilient SCs. In this study, we analyse the readiness of SCs for coping with disruptions caused by seven megatrends. Based on extensive debates among the authors and supported by a narrative literature review, we framed this analysis according to four potentials of resilient systems (monitoring, anticipation, responding, and learning) and three types of SC structure (linear, networked, and hub-and-spoke). We debated and pooled our viewpoints to identify readiness levels for coping with each megatrend, which allowed the formulation of research propositions to be further investigated. Overall, the readiness of all resilience potentials varies across megatrends and SC structures, although the potentials to anticipate, respond and learn seem to be less developed (either lowly or moderately ready) than monitoring, especially when considering disruptions caused by changing demographics and climate change. Further, linear SCs appear to be more vulnerable to most megatrends. Finally, we outline opportunities for further investigation regarding SCs resilience to megatrends’ disruptions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109585"},"PeriodicalIF":9.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529306","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}
Yanlin Li , Y.P. Tsang , C.K.M. Lee , Zhen-Song Chen
{"title":"Strategic service supplier selection in servitized manufacturing: A linguistic preference-based decision support system","authors":"Yanlin Li , Y.P. Tsang , C.K.M. Lee , Zhen-Song Chen","doi":"10.1016/j.ijpe.2025.109566","DOIUrl":"10.1016/j.ijpe.2025.109566","url":null,"abstract":"<div><div>The global transition toward manufacturing servitization has compelled product-centric manufacturers to establish strategic alliances with knowledge-intensive business service (KIBS) providers, facilitating cost-effective transformation and enhanced product-service offerings. While traditional supplier selection has been extensively studied, the unique challenges of evaluating and selecting service suppliers in servitized manufacturing contexts remain inadequately addressed, particularly regarding systematic decision support mechanisms. This study addresses this research gap by developing a novel linguistic preference-based decision support system for strategic service supplier selection in servitized manufacturing environments. The proposed system introduces a comprehensive evaluation framework that integrates service, supplier, and societal dimensions through 21 meticulously defined criteria. To address the inherent uncertainty and complexity in service supplier assessment, the framework incorporates flexible linguistic decision-making methods that enable systematic criteria weight determination and supplier ranking. The system's practical validity was demonstrated through empirical implementation in a multinational servitized manufacturing company, where it successfully facilitated strategic supplier selection decisions. The findings reveal that successful service supplier selection in servitized manufacturing extends beyond conventional metrics, highlighting the critical importance of factors such as collaboration capability, communication effectiveness, social responsibility, and domain expertise of KIBS providers. This research contributes significantly to both decision sciences and manufacturing servitization literature while offering practical insights for manufacturers navigating their servitization transformation.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109566"},"PeriodicalIF":9.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529305","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":"Cooperation dilemmas in construction and demolition waste recycling: From understanding to navigating","authors":"Weize Lin, Jing Zhang, Minjiu Yu, Ruwen Tan","doi":"10.1016/j.ijpe.2025.109580","DOIUrl":"10.1016/j.ijpe.2025.109580","url":null,"abstract":"<div><div>High-quality recycling is considered the optimal practice for managing the significant volume of construction and demolition waste (C&DW). However, the lack of coordinated cooperation among stakeholders poses challenges in sustaining and advancing the recycling supply chain. However, the previous research on the decision-making of partnerships among companies is limited despite its importance. Hence, our research framework seeks to address the gap, unfolding from understanding to navigating. Initially, to understand the status quo, we model a partnership decision game where companies face a choice: either commit to in-depth cooperation benefiting from coordination contracts, or opt for surface-level cooperation via straightforward wholesale transactions. Our findings reveal the transfer effect that relation-specific investments of low-power companies may undermine the vested interests of high-power companies, which leads to a prisoner's dilemma dominated by surface-level cooperation. Subsequently, we propose two remedies, a subsidy scheme and a policy of strategic information revelation, to address the dilemma. Specifically, we suggest a <em>Cooperation Subsidy</em> to motivate the remanufacturer and the collector to choose in-depth cooperation, which proves more efficient than conventional economic regulations. Moreover, we design a signal structure based on <em>Bayesian Persuasion</em> to persuade the remanufacturer to opt for in-depth cooperation. This study seeks to provide theoretical support for government policy development.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109580"},"PeriodicalIF":9.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527201","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}
Abdullah S. Karaman , Hany Elbardan , Ali Uyar , Kannan Govindan
{"title":"Board composition and sustainable supply chain management: Environmental committee's role","authors":"Abdullah S. Karaman , Hany Elbardan , Ali Uyar , Kannan Govindan","doi":"10.1016/j.ijpe.2025.109579","DOIUrl":"10.1016/j.ijpe.2025.109579","url":null,"abstract":"<div><div>Due to increasing climate change concerns, companies are under pressure from stakeholders, including regulators, consumers, and investors, to integrate environmental initiatives into their sustainable supply chain (SSC). Although an increasing body of research investigates the predictors of the environmental practices of firms, focusing on predictors of SSC practices is of critical importance to reduce environmental externalities such as carbon emissions and waste production. Thus, we focus on several board attributes' roles in firm SSC practices and explore whether the environmental committee enriches the directors' role in firm SSC practices. This study uses 62,958 firm-year observations from 2002 to 2021 covering nine different industries from 69 countries. Executing sector-country-year fixed-effects regression, we indicate that while board independence and board gender diversity reinforce the adoption of SSC practices, board expertise and board tenure weaken their adoption. Furthermore, the environmental management team positively moderates between board gender diversity and board tenure and SSC practices, whereas it does not have a significant moderating role between board independence and expertise and SSC practices. We contribute to the literature by identifying which directors are for and against transforming supply chain function towards more sustainable practices such that firms’ nomination committees can shape their upper-echelons accordingly. In addition, our comprehensive SSC proxy based on five metrics-index may guide firms in formulating their own SSC policies. Lastly, we advance the existing literature by highlighting the role of the environmental committee in mobilizing board capital for better SSC management.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109579"},"PeriodicalIF":9.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549138","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":"Credit where it's due: The synergy of trade credit and innovation in R&D-driven firms","authors":"Bahadır Karakoç","doi":"10.1016/j.ijpe.2025.109576","DOIUrl":"10.1016/j.ijpe.2025.109576","url":null,"abstract":"<div><div>In business transactions, information asymmetry poses significant challenges, particularly for innovative firms. This study investigates the strategic role of trade credit in overcoming these obstacles and fostering growth in R&D-investing companies. We hypothesize that firms offering more trade credit (H1) and investing in R&D (H2) can enhance their growth prospects. Furthermore, we propose that combining R&D investments and trade credit (H3) leads to greater growth than either activity alone, as trade credit facilitates the commercialization of R&D outputs while mitigating information asymmetry. We analyze trade credit's amount and duration using the Difference Generalized Method of Moments (GMM) to address potential endogeneity and firm-level heterogeneity. This is complemented with Fixed Effects Ordinary Least Squares (FE-OLS) estimations for robustness. Our findings are further supported through two-stage least squares (2SLS) and additional GMM analyses with an external instrument. The results reveal that while both R&D investments and trade credit supply individually contribute to growth, firms combining R&D with trade credit experience significantly higher growth rates. This highlights trade credit's critical role in facilitating the commercialization of R&D outputs. The findings also underscore the critical importance of communication and cooperation between business partners in fostering growth.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"283 ","pages":"Article 109576"},"PeriodicalIF":9.8,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479243","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}