Pub Date : 2026-03-01Epub Date: 2025-12-23DOI: 10.1016/j.ijpe.2025.109904
Renlei Cai , Gang Li , T.C.E. Cheng
The rise of B2B sharing platforms in the upstream market allows large firms with sizable loyal consumer bases and sufficient capacity to launch their own capacity-sharing platforms, which they can open to competitors, particularly small firms, to leverage the benefits of the sharing economy. This paper examines large firms' platform openness strategies and small firms' capacity-sharing decisions in a competitive environment. It shows that a large firm's decision to open its platform can either intensify or mitigate market competition, depending on the small firm's choice of capacity-sharing partner. When the small firm acquires capacity from its competitor, market competition is alleviated; however, when a low external transfer price drives it to source from external suppliers, market competition intensifies. Anticipating this, the large firm may refrain from opening the platform to preserve its pricing advantage, leading to a prisoner's dilemma. This dilemma is particularly pronounced when the two firms have similar loyal consumer bases but significantly different capacities. When the external transfer price is endogenized, the supplier needs to compensate the large firm via a service fee. The large firm could strategically subsidize the small firm to promote platform participation. When the large firm faces capacity constraints, unilateral or bilateral sharing becomes the most effective way to mitigate competition.
{"title":"The economics of capacity-sharing platform openness: Competition and cooperation among asymmetric firms","authors":"Renlei Cai , Gang Li , T.C.E. Cheng","doi":"10.1016/j.ijpe.2025.109904","DOIUrl":"10.1016/j.ijpe.2025.109904","url":null,"abstract":"<div><div>The rise of B2B sharing platforms in the upstream market allows large firms with sizable loyal consumer bases and sufficient capacity to launch their own capacity-sharing platforms, which they can open to competitors, particularly small firms, to leverage the benefits of the sharing economy. This paper examines large firms' platform openness strategies and small firms' capacity-sharing decisions in a competitive environment. It shows that a large firm's decision to open its platform can either intensify or mitigate market competition, depending on the small firm's choice of capacity-sharing partner. When the small firm acquires capacity from its competitor, market competition is alleviated; however, when a low external transfer price drives it to source from external suppliers, market competition intensifies. Anticipating this, the large firm may refrain from opening the platform to preserve its pricing advantage, leading to a prisoner's dilemma. This dilemma is particularly pronounced when the two firms have similar loyal consumer bases but significantly different capacities. When the external transfer price is endogenized, the supplier needs to compensate the large firm via a service fee. The large firm could strategically subsidize the small firm to promote platform participation. When the large firm faces capacity constraints, unilateral or bilateral sharing becomes the most effective way to mitigate competition.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109904"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170169","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}
Pub Date : 2026-03-01Epub Date: 2025-11-04DOI: 10.1016/j.ijpe.2025.109840
Kara Li Liu , Koray Özpolat , Seung Kyoon Shin
Information and communication technology (ICT) outsourcing to suppliers has the potential to enhance buyers' product innovation and overall performance. However, the impact of technology outsourcing to lower-tier suppliers on buyers' financial performance in multi-tier supply chain networks remains unclear. Unlike prior dyadic studies that focus on a buyer-tier1 supplier perspective, our study extends the analytical scope to encompass buyer, tier-1, and tier-2 ICT supplier triads using multi-tier supply network data from Capital IQ. Building on existing literature indicating that a buyer's betweenness centrality negatively affects its financial performance, we further find that tier-1 suppliers' betweenness centrality also exhibits a negative relationship with buyers' financial performance. In addition, we provide the empirical evidence that a buyer's timely supplier payment amplifies the positive effect of buyer degree centrality on its financial performance, while alleviating the positive effect of tier-1 suppliers' degree centrality on buyers' financial performance. Interestingly, timely supplier payment negatively moderates the association between a buyer's closeness centrality and its financial performance, but positively moderates the corresponding association between tier-1 supplier closeness centrality and buyer financial performance. Our empirical analysis advances theoretical understanding of lower-tier suppliers and sheds light on the bridging role of tier-1 suppliers in the literature of multi-tier supply chain relationships. These findings highlight the benefits of technology-enabled multi-tier supply network structures and their interactions with the buyer-tier1 supplier relationships. This study also provides practical insights for firms to improve financial outcomes through strategic ICT outsourcing to multi-layer suppliers.
{"title":"Insights from lower-tier ICT suppliers: How network centrality in multi-tier supply chain relationships affects buyer financial performance","authors":"Kara Li Liu , Koray Özpolat , Seung Kyoon Shin","doi":"10.1016/j.ijpe.2025.109840","DOIUrl":"10.1016/j.ijpe.2025.109840","url":null,"abstract":"<div><div>Information and communication technology (ICT) outsourcing to suppliers has the potential to enhance buyers' product innovation and overall performance. However, the impact of technology outsourcing to lower-tier suppliers on buyers' financial performance in multi-tier supply chain networks remains unclear. Unlike prior dyadic studies that focus on a buyer-tier1 supplier perspective, our study extends the analytical scope to encompass buyer, tier-1, and tier-2 ICT supplier triads using multi-tier supply network data from Capital IQ. Building on existing literature indicating that a buyer's betweenness centrality negatively affects its financial performance, we further find that tier-1 suppliers' betweenness centrality also exhibits a negative relationship with buyers' financial performance. In addition, we provide the empirical evidence that a buyer's timely supplier payment amplifies the positive effect of buyer degree centrality on its financial performance, while alleviating the positive effect of tier-1 suppliers' degree centrality on buyers' financial performance. Interestingly, timely supplier payment negatively moderates the association between a buyer's closeness centrality and its financial performance, but positively moderates the corresponding association between tier-1 supplier closeness centrality and buyer financial performance. Our empirical analysis advances theoretical understanding of lower-tier suppliers and sheds light on the bridging role of tier-1 suppliers in the literature of multi-tier supply chain relationships. These findings highlight the benefits of technology-enabled multi-tier supply network structures and their interactions with the buyer-tier1 supplier relationships. This study also provides practical insights for firms to improve financial outcomes through strategic ICT outsourcing to multi-layer suppliers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109840"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170080","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}
Pub Date : 2026-03-01Epub Date: 2025-12-12DOI: 10.1016/j.ijpe.2025.109886
Fapeng Nie , Xiang Li , Zhaofu Hong
In the ride-hailing market, facing passengers with heterogeneous behaviors, some ride-hailing platforms (e.g., DiDi or Uber) develop a scoring system to provide differential service. To explore the benefits of this differential service, we develop game-theoretic models to capture the interactions among the platform, passengers, and drivers. The results show that the ride-hailing platform always adopts a markup pricing strategy with cost-sharing, regardless of whether the platform adopts differential service. As the loss cost increases, the ride-hailing platform tends to develop a scoring system and serve only passengers with high scores, but this strategic switch may harm both passengers and drivers. Fortunately, the ride-hailing platform can perfectly mitigate the conflict with passengers by adjusting the scoring standard. Furthermore, we extend our baseline model to a three-tiered passenger segmentation, confirming the robustness of our findings and enhancing the practical relevance of our study.
{"title":"Differential service strategies of ride-hailing platforms for passengers with heterogeneous behaviors","authors":"Fapeng Nie , Xiang Li , Zhaofu Hong","doi":"10.1016/j.ijpe.2025.109886","DOIUrl":"10.1016/j.ijpe.2025.109886","url":null,"abstract":"<div><div>In the ride-hailing market, facing passengers with heterogeneous behaviors, some ride-hailing platforms (e.g., DiDi or Uber) develop a scoring system to provide differential service. To explore the benefits of this differential service, we develop game-theoretic models to capture the interactions among the platform, passengers, and drivers. The results show that the ride-hailing platform always adopts a markup pricing strategy with cost-sharing, regardless of whether the platform adopts differential service. As the loss cost increases, the ride-hailing platform tends to develop a scoring system and serve only passengers with high scores, but this strategic switch may harm both passengers and drivers. Fortunately, the ride-hailing platform can perfectly mitigate the conflict with passengers by adjusting the scoring standard. Furthermore, we extend our baseline model to a three-tiered passenger segmentation, confirming the robustness of our findings and enhancing the practical relevance of our study.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109886"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170177","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}
Pub Date : 2026-03-01Epub Date: 2025-12-11DOI: 10.1016/j.ijpe.2025.109888
Song Huang, Yuhui Peng, Jinran Yu
This study examines the strategic interaction between an incumbent manufacturer’s agency encroachment and an online platform’s external switching in a platform supply chain. The dual-purpose platform, which considers both profit and consumer surplus, can switch to an outside manufacturer when facing the agency encroachment threat of the incumbent manufacturer. We consider the equilibrium strategy for the for-profit and dual-purpose platforms, to explore the impact of the dual-purpose concern, switching option, and agency encroachment on the firms’ profits and consumer surplus. Several interesting findings emerge from this study. First, unlike the for-profit platform, the dual-purpose platform’s switching strategy exhibits a non-trivial pattern for the switching cost. A high dual-purpose concern increases the platform’s switching motivation but inhibits the manufacturer’s agency encroachment incentive. Second, agency encroachment may benefit the platform owing to the additional commission income, and switching may hurt the platform. Importantly, the dual-purpose concern can positively affect the platform, which occurs when the agency encroachment is inhibited by dual purpose or switching. However, the pursuit of consumer surplus does not necessarily benefit consumers. Moreover, the incumbent manufacturer does not favor the dual-purpose platform scenario, particularly under the condition of high switching costs and low commissions. Finally, the extensions indicate that the incumbent manufacturer’s dual-purpose concern may show an opposite effect on the wholesale price and direct sales volume, thereby enhancing the incumbent manufacturer’s agency encroachment incentive; and imperfect product substitution weakens the dual-purpose platform’s ordering motivation.
{"title":"Platform switching with manufacturer encroachment under online retailing and dual-purpose organizations","authors":"Song Huang, Yuhui Peng, Jinran Yu","doi":"10.1016/j.ijpe.2025.109888","DOIUrl":"10.1016/j.ijpe.2025.109888","url":null,"abstract":"<div><div>This study examines the strategic interaction between an incumbent manufacturer’s agency encroachment and an online platform’s external switching in a platform supply chain. The dual-purpose platform, which considers both profit and consumer surplus, can switch to an outside manufacturer when facing the agency encroachment threat of the incumbent manufacturer. We consider the equilibrium strategy for the for-profit and dual-purpose platforms, to explore the impact of the dual-purpose concern, switching option, and agency encroachment on the firms’ profits and consumer surplus. Several interesting findings emerge from this study. First, unlike the for-profit platform, the dual-purpose platform’s switching strategy exhibits a non-trivial pattern for the switching cost. A high dual-purpose concern increases the platform’s switching motivation but inhibits the manufacturer’s agency encroachment incentive. Second, agency encroachment may benefit the platform owing to the additional commission income, and switching may hurt the platform. Importantly, the dual-purpose concern can positively affect the platform, which occurs when the agency encroachment is inhibited by dual purpose or switching. However, the pursuit of consumer surplus does not necessarily benefit consumers. Moreover, the incumbent manufacturer does not favor the dual-purpose platform scenario, particularly under the condition of high switching costs and low commissions. Finally, the extensions indicate that the incumbent manufacturer’s dual-purpose concern may show an opposite effect on the wholesale price and direct sales volume, thereby enhancing the incumbent manufacturer’s agency encroachment incentive; and imperfect product substitution weakens the dual-purpose platform’s ordering motivation.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109888"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788632","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}
Pub Date : 2026-03-01Epub Date: 2026-01-06DOI: 10.1016/j.ijpe.2026.109917
Ligang Shi , Weida Chen , Jing Jia
To encourage service subjects to provide green technology services to farmers, the government offers two subsidy policies: the green technology operation subsidy (GOS) and the green technology investment subsidy (GIS). We consider an agricultural supply chain with a risk-averse farmer, a risk-neutral retailer, and a risk-neutral service subject, and comparatively analyze the impacts of subsidy policies in a service subject-led Stackelberg, a retailer-led Stackelberg, and a vertical Nash game model. The results reveal that under GOS, farmers prefer the vertical Nash (retailer-led) model when the subsidy level is low (high). In contrast, under GIS, the vertical Nash model always outperforms Stackelberg models for farmers. Further analysis shows that with an equal subsidy budget, farmers always gain more from GOS in the service subject-led model, but in other models, they prefer GIS when the subsidy budget is low. In addition, service subjects tend to adopt GIS (GOS) in the vertical Nash (service subject-led) model. However, in the retailer-led model, service subjects only choose GOS when both farmers' risk aversion and subsidy budget are high. Finally, farmers and retailers share the same preference for subsidy policies, while service subjects' preference is consistent with that of the supply chain system.
{"title":"Green technology operation subsidy vs. investment subsidy in agricultural outsourcing services: The impact of power structures","authors":"Ligang Shi , Weida Chen , Jing Jia","doi":"10.1016/j.ijpe.2026.109917","DOIUrl":"10.1016/j.ijpe.2026.109917","url":null,"abstract":"<div><div>To encourage service subjects to provide green technology services to farmers, the government offers two subsidy policies: the green technology operation subsidy (GOS) and the green technology investment subsidy (GIS). We consider an agricultural supply chain with a risk-averse farmer, a risk-neutral retailer, and a risk-neutral service subject, and comparatively analyze the impacts of subsidy policies in a service subject-led Stackelberg, a retailer-led Stackelberg, and a vertical Nash game model. The results reveal that under GOS, farmers prefer the vertical Nash (retailer-led) model when the subsidy level is low (high). In contrast, under GIS, the vertical Nash model always outperforms Stackelberg models for farmers. Further analysis shows that with an equal subsidy budget, farmers always gain more from GOS in the service subject-led model, but in other models, they prefer GIS when the subsidy budget is low. In addition, service subjects tend to adopt GIS (GOS) in the vertical Nash (service subject-led) model. However, in the retailer-led model, service subjects only choose GOS when both farmers' risk aversion and subsidy budget are high. Finally, farmers and retailers share the same preference for subsidy policies, while service subjects' preference is consistent with that of the supply chain system.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109917"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170173","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}
Pub Date : 2026-03-01Epub Date: 2025-10-11DOI: 10.1016/j.ijpe.2025.109823
Pierre Hémono , Ahmed Nait Chabane , M’hammed Sahnoun
Industry 5.0 represents a paradigm shift toward human-centric, resilient, and sustainable production systems. At the core of this transformation lies digital twins, which enable predictive and prescriptive analytics in real time, improving decision-making capabilities such as visibility, transparency, and collaboration. By integrating advanced AI algorithms for data interpretation and facilitating seamless human–machine interactions, digital twins address critical challenges in modern industrial systems. This article explores the transformative role of digital twins in operational decision-making, focusing on their ability to optimize workflows, and foster collaboration between humans and robots. Through a dual-layer methodology macro-level task scheduling for efficiency and consideration of human factors and micro-level real-time control for adaptability, digital twins offer a powerful framework for aligning human and robotic capabilities while mitigating human fatigue and improving decision transparency. Highlighting applications in digital transformation, optimization, and human–AI collaboration, this study emphasizes how digital twins enhance operational visibility and resilience. The findings contribute to the evolution of Industry 5.0, offering innovative solutions for integrating predictive models and human-centered approaches in decision-making, redefining the future of sustainable and collaborative industrial systems.
{"title":"Leveraging digital twin and dynamic scheduling for enhanced human–robot collaboration","authors":"Pierre Hémono , Ahmed Nait Chabane , M’hammed Sahnoun","doi":"10.1016/j.ijpe.2025.109823","DOIUrl":"10.1016/j.ijpe.2025.109823","url":null,"abstract":"<div><div>Industry 5.0 represents a paradigm shift toward human-centric, resilient, and sustainable production systems. At the core of this transformation lies digital twins, which enable predictive and prescriptive analytics in real time, improving decision-making capabilities such as visibility, transparency, and collaboration. By integrating advanced AI algorithms for data interpretation and facilitating seamless human–machine interactions, digital twins address critical challenges in modern industrial systems. This article explores the transformative role of digital twins in operational decision-making, focusing on their ability to optimize workflows, and foster collaboration between humans and robots. Through a dual-layer methodology macro-level task scheduling for efficiency and consideration of human factors and micro-level real-time control for adaptability, digital twins offer a powerful framework for aligning human and robotic capabilities while mitigating human fatigue and improving decision transparency. Highlighting applications in digital transformation, optimization, and human–AI collaboration, this study emphasizes how digital twins enhance operational visibility and resilience. The findings contribute to the evolution of Industry 5.0, offering innovative solutions for integrating predictive models and human-centered approaches in decision-making, redefining the future of sustainable and collaborative industrial systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109823"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170170","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}
Pub Date : 2026-03-01Epub Date: 2025-12-13DOI: 10.1016/j.ijpe.2025.109895
Jiali Zhu , Shiwei Sun , Peilun Li , Yichuan Wang , Di Mao
Blockchain technology has garnered significant attention in recent years, with the belief that it can enhance the efficiency of corporate supply chain management. Numerous Chinese listed companies have disclosed the application of supply chain technologies through their financial reports. This study explicitly addresses the research question: Does blockchain attention genuinely improve supply chain efficiency, or is it merely a symbolic response to institutional pressures? Using data from Chinese A-share listed firms from 2013 to 2021, we empirically examine the relationship between blockchain attention and supply chain efficiency (SCE), and test moderating effects of blockchain implementation cost and managers’ digital background. The findings reveal that: (1) blockchain attention is significantly negatively correlated with supply chain efficiency measured by inventory turnover rate, indicating that corporate technology disclosure is a gild disclosure under institutional pressure rather than substantive technological application; (2) the above correlated mechanism is also affected by the experience of executives in supply chain management, supply chain intensity, and the regional supply chain efficiency. This study challenges the optimistic expectations of blockchain technology, uncovers the dissipative path of technological alienation under institutional pressure. It also provides a theoretical basis for regulatory authorities to identify “fake innovation” disclosures and for enterprises to prudently implement digital transformation.
{"title":"Gold or gild: Does blockchain attention improve the efficiency of supply chain?","authors":"Jiali Zhu , Shiwei Sun , Peilun Li , Yichuan Wang , Di Mao","doi":"10.1016/j.ijpe.2025.109895","DOIUrl":"10.1016/j.ijpe.2025.109895","url":null,"abstract":"<div><div>Blockchain technology has garnered significant attention in recent years, with the belief that it can enhance the efficiency of corporate supply chain management. Numerous Chinese listed companies have disclosed the application of supply chain technologies through their financial reports. This study explicitly addresses the research question: <em>Does blockchain attention genuinely improve supply chain efficiency, or is it merely a symbolic response to institutional pressures?</em> Using data from Chinese A-share listed firms from 2013 to 2021, we empirically examine the relationship between blockchain attention and supply chain efficiency (SCE), and test moderating effects of blockchain implementation cost and managers’ digital background. The findings reveal that: (1) blockchain attention is significantly negatively correlated with supply chain efficiency measured by inventory turnover rate, indicating that corporate technology disclosure is a gild disclosure under institutional pressure rather than substantive technological application; (2) the above correlated mechanism is also affected by the experience of executives in supply chain management, supply chain intensity, and the regional supply chain efficiency. This study challenges the optimistic expectations of blockchain technology, uncovers the dissipative path of technological alienation under institutional pressure. It also provides a theoretical basis for regulatory authorities to identify “fake innovation” disclosures and for enterprises to prudently implement digital transformation.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109895"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837630","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}
Pub Date : 2026-03-01Epub Date: 2025-12-29DOI: 10.1016/j.ijpe.2025.109907
Ye Xia , Xiangyong Li , Lu Yang
Omnichannel retail enables consumers to shop seamlessly across multiple channels, with the Ship-From-Store (SFS) strategy — a prominent approach that fulfills online orders from physical stores — gaining widespread adoption. While effective, SFS introduces challenges related to demand pooling, complicating inventory management across channels. This paper investigates the joint replenishment, transshipment, and fulfillment problem for an omnichannel retailer operating physical stores under the SFS strategy. We propose a novel analytical framework that integrates proactive and reactive transshipments with periodic replenishment and dual-channel fulfillment. The analysis identifies key structural properties of the cost functions and, for a two-store omnichannel retail system, characterizes the optimal policies using switching curves, demonstrating that these policies can be derived efficiently through hedging point computations without explicitly visualizing the curves. We further extend the analysis to a stationary multi-store setting, establishing the optimality of a myopic base-stock policy as a simple yet robust decision-making framework. Numerical experiments show that jointly optimizing replenishment and proactive transshipment substantially reduces total operating costs, particularly under high demand volatility, by leveraging cross-store inventory pooling. These findings provide actionable insights for designing efficient and practical omnichannel fulfillment strategies.
{"title":"Optimal joint replenishment and transshipment policies for an omnichannel retailer utilizing a ship-from-store strategy","authors":"Ye Xia , Xiangyong Li , Lu Yang","doi":"10.1016/j.ijpe.2025.109907","DOIUrl":"10.1016/j.ijpe.2025.109907","url":null,"abstract":"<div><div>Omnichannel retail enables consumers to shop seamlessly across multiple channels, with the Ship-From-Store (SFS) strategy — a prominent approach that fulfills online orders from physical stores — gaining widespread adoption. While effective, SFS introduces challenges related to demand pooling, complicating inventory management across channels. This paper investigates the joint replenishment, transshipment, and fulfillment problem for an omnichannel retailer operating physical stores under the SFS strategy. We propose a novel analytical framework that integrates proactive and reactive transshipments with periodic replenishment and dual-channel fulfillment. The analysis identifies key structural properties of the cost functions and, for a two-store omnichannel retail system, characterizes the optimal policies using switching curves, demonstrating that these policies can be derived efficiently through hedging point computations without explicitly visualizing the curves. We further extend the analysis to a stationary multi-store setting, establishing the optimality of a myopic base-stock policy as a simple yet robust decision-making framework. Numerical experiments show that jointly optimizing replenishment and proactive transshipment substantially reduces total operating costs, particularly under high demand volatility, by leveraging cross-store inventory pooling. These findings provide actionable insights for designing efficient and practical omnichannel fulfillment strategies.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109907"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170171","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}
Live streaming operations are getting popular nowadays. Considering that a manufacturer sells its products to consumers via a live streaming channel, we investigate the manufacturer’s strategies for virtual character adoption, as well as live-streamer (i.e., employee or influencer) selection, considering live streaming reviews. Some important factors are identified to assess live streaming: (i) manufacturer’s quality improvement and live streaming reviews influencing consumers’ quality perception; (ii) influencer power and value, which reflect the influencer’s personal influence and content categories, respectively; and (iii) virtual character’s main characteristics, namely the virtual character’s intelligence level and product exposure power. We analyze five live streaming scenarios: merchant live streaming channel without virtual character (Scenario EN), merchant live streaming channel with virtual character (Scenario EV), influencer live streaming channel without virtual character (Scenario IN), influencer live streaming channel with virtual character (Scenario IV), and virtual character live streaming channel (Scenario V). Our findings show that for live-streamer selection, regardless of whether a virtual character is introduced, the manufacturer should select the employee (influencer) at the low (high) influencer power. However, without (with) virtual character, it should select the employee (influencer) at the moderate influencer power. Besides, under the high virtual character’s intelligence level (and its low cost factor), the influencer (manufacturer) should adopt the virtual character as the assistant of live-streamer. Moreover, whether to adopt Scenario V depends on the virtual character’s product exposure power and intelligence level in Scenarios EN, EV, and V, as well as its product exposure power, intelligence level, and influencer power in Scenarios IN, IV, and V. Finally, we consider the slice live streaming scenarios to encompass more scenarios.
{"title":"Employee or influencer live streaming? A manufacturer’s strategy for virtual character adoption considering live streaming reviews","authors":"Xiaoping Xu , Xinru Chen , Tsan-Ming Choi , T.C.E. Cheng","doi":"10.1016/j.ijpe.2025.109882","DOIUrl":"10.1016/j.ijpe.2025.109882","url":null,"abstract":"<div><div>Live streaming operations are getting popular nowadays. Considering that a manufacturer sells its products to consumers via a live streaming channel, we investigate the manufacturer’s strategies for virtual character adoption, as well as live-streamer (i.e., employee or influencer) selection, considering live streaming reviews. Some important factors are identified to assess live streaming: (i) manufacturer’s quality improvement and live streaming reviews influencing consumers’ quality perception; (ii) influencer power and value, which reflect the influencer’s personal influence and content categories, respectively; and (iii) virtual character’s main characteristics, namely the virtual character’s intelligence level and product exposure power. We analyze five live streaming scenarios: merchant live streaming channel without virtual character (Scenario EN), merchant live streaming channel with virtual character (Scenario EV), influencer live streaming channel without virtual character (Scenario IN), influencer live streaming channel with virtual character (Scenario IV), and virtual character live streaming channel (Scenario V). Our findings show that for live-streamer selection, regardless of whether a virtual character is introduced, the manufacturer should select the employee (influencer) at the low (high) influencer power. However, without (with) virtual character, it should select the employee (influencer) at the moderate influencer power. Besides, under the high virtual character’s intelligence level (and its low cost factor), the influencer (manufacturer) should adopt the virtual character as the assistant of live-streamer. Moreover, whether to adopt Scenario V depends on the virtual character’s product exposure power and intelligence level in Scenarios EN, EV, and V, as well as its product exposure power, intelligence level, and influencer power in Scenarios IN, IV, and V. Finally, we consider the slice live streaming scenarios to encompass more scenarios.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"293 ","pages":"Article 109882"},"PeriodicalIF":10.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788634","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}
Pub Date : 2026-03-01Epub Date: 2025-12-22DOI: 10.1016/j.ijpe.2025.109903
Yuanzhu Zhan , Jing Dai , Yufeng Zhang , Guangzhi Shang , Antony Paulraj , Andy Yeung
This editorial introduces the Special Issue on “Rethinking Operations and Supply Chain Management in the Blockchain Era” published in the International Journal of Production Economics. The Special Issue brings together 15 papers that collectively advance theoretical, empirical, and practical understanding of blockchain's transformative role in operations and supply chain management. Drawing upon their contributions, the papers are clustered into three thematic areas: (1) blockchain for governance and coordination; (2) blockchain for digital capabilities and performance; and (3) blockchain for sustainability and institutional legitimacy. Building on these clusters, the editorial proposes an integrative framework and research agenda that calls for multi-level, longitudinal, and data-driven approaches connecting blockchain's technical, organizational, and institutional dimensions. The findings highlight blockchain's potential to enable more transparent, resilient, and sustainable operations systems and supply chains while recognizing the managerial, technological, and institutional challenges that accompany its widespread adoption.
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