Pub Date : 2025-02-21DOI: 10.1016/j.ejor.2025.02.028
Deqing Ma, Xueping Wu, Kaifu Li, Jinsong Hu
Food fraud is driven by unethical enterprises’ economic incentives and endures due to consumers’ delayed quality perceptions, while present solutions make it impossible for ethical firms to verify food quality in a timely and convincing manner. To that end, this paper focuses on a duopoly competition between an ethical firm (H) and an unethical firm (L) incorporating consumers’ delayed quality perceptions. Considering the industry credibility crisis that food fraud may trigger, we analytically explore the conditions and effects of firm H to combat food fraud with the aid of blockchain technology (BCT). Counterintuitively, this paper finds that quality improvements beyond industry standards are not always beneficial to firms. Indeed, firms H and L will adopt quality improvements only when marginal returns are higher or delayed perceived time of quality (DPTQ) is longer, respectively. When deciding whether to adopt BCT, H should consider not only the implementation cost and DPTQ, but also the non-monotonic impact of DPTQ on the cost threshold. In addition, it is found that the application of BCT will always motivate H to make quality improvements and further enhance the goodwill, demand, and profits, but that the effect of combating food fraud is stage-specific. Within DPTQ, BCT will only serve as a marketing tool to enhance the competitiveness of H. It is outside of DPTQ that BCT can be effective in combating food fraud, not only by accelerating L's exit from the market, but also by increasing H's market share at the same time.
食品欺诈是由不道德企业的经济动机驱动的，并因消费者的延迟质量感知而持续存在，而目前的解决方案使得道德企业无法及时和令人信服地验证食品质量。为此，本文重点探讨了道德企业（H）与非道德企业（L）之间的双头垄断竞争，并将消费者的延迟质量感知纳入其中。考虑到食品欺诈可能引发的行业信誉危机，我们分析探讨了 H 公司借助区块链技术（BCT）打击食品欺诈的条件和效果。与直觉相反，本文发现，超出行业标准的质量改进并不总是有利于企业。事实上，只有当边际收益较高或质量延迟感知时间（DPTQ）较长时，企业 H 和 L 才会采用质量改进措施。在决定是否采用 BCT 时，H 不仅要考虑实施成本和 DPTQ，还要考虑 DPTQ 对成本阈值的非单调影响。此外，研究还发现，采用 BCT 总是会激励 H 进行质量改进，进一步提高商誉、需求和利润，但打击食品欺诈的效果是阶段性的。在 DPTQ 范围内，BCT 只能作为一种营销工具，增强 H 的竞争力；而在 DPTQ 范围外，BCT 才能有效打击食品欺诈，不仅能加速 L 退出市场，还能同时提高 H 的市场份额。
{"title":"Can blockchain implementation combat food fraud: Considering consumers’ delayed quality perceptions","authors":"Deqing Ma, Xueping Wu, Kaifu Li, Jinsong Hu","doi":"10.1016/j.ejor.2025.02.028","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.028","url":null,"abstract":"Food fraud is driven by unethical enterprises’ economic incentives and endures due to consumers’ delayed quality perceptions, while present solutions make it impossible for ethical firms to verify food quality in a timely and convincing manner. To that end, this paper focuses on a duopoly competition between an ethical firm (H) and an unethical firm (L) incorporating consumers’ delayed quality perceptions. Considering the industry credibility crisis that food fraud may trigger, we analytically explore the conditions and effects of firm H to combat food fraud with the aid of blockchain technology (BCT). Counterintuitively, this paper finds that quality improvements beyond industry standards are not always beneficial to firms. Indeed, firms H and L will adopt quality improvements only when marginal returns are higher or delayed perceived time of quality (DPTQ) is longer, respectively. When deciding whether to adopt BCT, H should consider not only the implementation cost and DPTQ, but also the non-monotonic impact of DPTQ on the cost threshold. In addition, it is found that the application of BCT will always motivate H to make quality improvements and further enhance the goodwill, demand, and profits, but that the effect of combating food fraud is stage-specific. Within DPTQ, BCT will only serve as a marketing tool to enhance the competitiveness of H. It is outside of DPTQ that BCT can be effective in combating food fraud, not only by accelerating L's exit from the market, but also by increasing H's market share at the same time.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"29 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-20DOI: 10.1016/j.ejor.2025.02.015
Siyuan Zhu, Tengfei Nie, Jianghua Zhang, Shaofu Du
Co-creation, a new business model that requires platform enterprises, manufacturers, and even consumers to participate in product research and development, has become increasingly popular in recent years. Simultaneously, technological advances in platforms have provided a convenient channel for consumers to contribute creative ideas in co-creation activities, providing an opportunity to rebuild business models. In this study, we consider a setting where a platform enterprise, a manufacturer, and a group of consumers jointly design and produce a co-created product. We focus on how a platform impacts co-creation. In the co-creation process, the platform integrates the consumers’ ideas and chooses a product innovation design (i.e., either an aesthetic-oriented or a functionality-oriented product design), after which the manufacturer sells the co-created product in a heterogeneous market. We demonstrate that each type of product innovation design has its own scope of application, and neither is strictly dominant. We find that when the product value exerted by consumers is higher than a certain threshold, a lose-lose situation may occur for the profits of the platform and manufacturer. Furthermore, we endogenize the consumers’ effort decisions in co-creation and find that each type of product innovation design can still be the equilibrium strategy.
{"title":"Product design and pricing decisions in platform-based co-creation","authors":"Siyuan Zhu, Tengfei Nie, Jianghua Zhang, Shaofu Du","doi":"10.1016/j.ejor.2025.02.015","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.015","url":null,"abstract":"Co-creation, a new business model that requires platform enterprises, manufacturers, and even consumers to participate in product research and development, has become increasingly popular in recent years. Simultaneously, technological advances in platforms have provided a convenient channel for consumers to contribute creative ideas in co-creation activities, providing an opportunity to rebuild business models. In this study, we consider a setting where a platform enterprise, a manufacturer, and a group of consumers jointly design and produce a co-created product. We focus on how a platform impacts co-creation. In the co-creation process, the platform integrates the consumers’ ideas and chooses a product innovation design (i.e., either an aesthetic-oriented or a functionality-oriented product design), after which the manufacturer sells the co-created product in a heterogeneous market. We demonstrate that each type of product innovation design has its own scope of application, and neither is strictly dominant. We find that when the product value exerted by consumers is higher than a certain threshold, a lose-lose situation may occur for the profits of the platform and manufacturer. Furthermore, we endogenize the consumers’ effort decisions in co-creation and find that each type of product innovation design can still be the equilibrium strategy.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"50 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The hybrid seru system (HSS), which is an innovative production pattern that emerges from real-world production situations, is practical because it includes both serus and a flow line, allowing temporary workers who are unable to complete all tasks to be assigned to the flow line. We focus on the HSS by minimising both makespan and total labour time. The HSS includes two complicated coupled NP-hard subproblems: hybrid seru formation and hybrid seru scheduling. Thus, we developed a multi-objective cooperative co-evolution algorithm with hypervolume-based Q-learning (MOCCHVQL) involving hybrid seru formation and scheduling subpopulations, evolved using a genetic algorithm. To achieve balance between exploration and exploitation, a hypervolume-based Q-learning mechanism is proposed to adaptively adjust the number of non-dominated hybrid seru formations/scheduling in co-evolution. To reduce computational time and enhance population diversity, a population partitioning mechanism is proposed. Extensive comparative results demonstrate that the MOCCHVQL outperforms state-of-the-art algorithms in terms of solution convergence and diversity, with the hypervolume metric increasing by 22 % and inverse generational distance metric decreasing by 76 %. Compared with a pure seru system (PSS), the HSS can significantly reduce training tasks, thereby conserving the training budget. In scenarios with fewer workers and more batches, a positive phenomenon, where the HSS significantly decreases the training tasks relative to PSS while only slightly increasing the makespan, was observed. In specific instances, the HSS reduced the number of training tasks by 50 %, while only increasing the makespan by 10.5 %.
{"title":"Multi-objective cooperative co-evolution algorithm with hypervolume-based Q-learning for hybrid seru system","authors":"Zhecong Zhang, Yang Yu, Xuqiang Qi, Yangguang Lu, Xiaolong Li, Ikou Kaku","doi":"10.1016/j.ejor.2025.02.025","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.025","url":null,"abstract":"The hybrid <ce:italic>seru</ce:italic> system (HSS), which is an innovative production pattern that emerges from real-world production situations, is practical because it includes both <ce:italic>serus</ce:italic> and a flow line, allowing temporary workers who are unable to complete all tasks to be assigned to the flow line<ce:italic>.</ce:italic> We focus on the HSS by minimising both makespan and total labour time. The HSS includes two complicated coupled NP-hard subproblems: hybrid <ce:italic>seru</ce:italic> formation and hybrid <ce:italic>seru</ce:italic> scheduling. Thus, we developed a multi-objective cooperative co-evolution algorithm with hypervolume-based Q-learning (MOCC<ce:glyph name=\"sbnd\"></ce:glyph>HVQL) involving hybrid <ce:italic>seru</ce:italic> formation and scheduling subpopulations, evolved using a genetic algorithm. To achieve balance between exploration and exploitation, a hypervolume-based Q-learning mechanism is proposed to adaptively adjust the number of non-dominated hybrid <ce:italic>seru</ce:italic> formations/scheduling in co-evolution. To reduce computational time and enhance population diversity, a population partitioning mechanism is proposed. Extensive comparative results demonstrate that the MOCC<ce:glyph name=\"sbnd\"></ce:glyph>HVQL outperforms state-of-the-art algorithms in terms of solution convergence and diversity, with the hypervolume metric increasing by 22 % and inverse generational distance metric decreasing by 76 %. Compared with a pure <ce:italic>seru</ce:italic> system (PSS), the HSS can significantly reduce training tasks, thereby conserving the training budget. In scenarios with fewer workers and more batches, a positive phenomenon, where the HSS significantly decreases the training tasks relative to PSS while only slightly increasing the makespan, was observed. In specific instances, the HSS reduced the number of training tasks by 50 %, while only increasing the makespan by 10.5 %.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"12 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-18DOI: 10.1016/S0377-2217(25)00122-5
{"title":"Prelim p. 2; First issue - Editorial Board","authors":"","doi":"10.1016/S0377-2217(25)00122-5","DOIUrl":"10.1016/S0377-2217(25)00122-5","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"323 1","pages":"Page ii"},"PeriodicalIF":6.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-17DOI: 10.1016/j.ejor.2025.02.013
Isma Bentoumi, Fabio Furini, A. Ridha Mahjoub, Sébastien Martin
Given a network with capacities and blocker costs associated with its arcs, we study the maximum flow blocker problem (FB). This problem seeks to identify a minimum-cost subset of arcs to be removed from the network, ensuring that the maximum flow value from the source to the destination in the remaining network does not exceed a specified threshold. The FB finds applications in telecommunication networks and monitoring of civil infrastructures, among other domains. We undertake a comprehensive study of several new integer linear programming (ILP) formulations designed for the FB. The first type of model, featuring an exponential number of constraints, is solved through tailored Branch-and-Cut algorithms. In contrast, the second type of ILP model, with a polynomial number of variables and constraints, is solved using a state-of-the-art ILP solver. The latter formulation establishes a structural connection between the FB and the maximum flow interdiction problem (FI), introducing a novel approach to obtaining solutions for each problem from the other. The ILP formulations proposed for solving the FB are evaluated thanks to a theoretical analysis assessing the strength of their LP relaxations. Additionally, the exact methods presented in this paper undergo a thorough comparison through an extensive computational campaign involving a set of real-world and synthetic instances. Our tests aim to evaluate the performance of the exact algorithms and identify the features of instances that can be solved with proven optimality.
{"title":"Integer linear programming formulations for the maximum flow blocker problem","authors":"Isma Bentoumi, Fabio Furini, A. Ridha Mahjoub, Sébastien Martin","doi":"10.1016/j.ejor.2025.02.013","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.013","url":null,"abstract":"Given a network with capacities and blocker costs associated with its arcs, we study the maximum flow blocker problem (FB). This problem seeks to identify a minimum-cost subset of arcs to be removed from the network, ensuring that the maximum flow value from the source to the destination in the remaining network does not exceed a specified threshold. The FB finds applications in telecommunication networks and monitoring of civil infrastructures, among other domains. We undertake a comprehensive study of several new integer linear programming (ILP) formulations designed for the FB. The first type of model, featuring an exponential number of constraints, is solved through tailored Branch-and-Cut algorithms. In contrast, the second type of ILP model, with a polynomial number of variables and constraints, is solved using a state-of-the-art ILP solver. The latter formulation establishes a structural connection between the FB and the maximum flow interdiction problem (FI), introducing a novel approach to obtaining solutions for each problem from the other. The ILP formulations proposed for solving the FB are evaluated thanks to a theoretical analysis assessing the strength of their LP relaxations. Additionally, the exact methods presented in this paper undergo a thorough comparison through an extensive computational campaign involving a set of real-world and synthetic instances. Our tests aim to evaluate the performance of the exact algorithms and identify the features of instances that can be solved with proven optimality.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"9 371 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-17DOI: 10.1016/j.ejor.2025.02.004
Layla Martin, Stefan Minner, Marco Pavone, Maximilian Schiffer
Operators of vehicle-sharing systems such as carsharing or ride-hailing can benefit from integrating driverless vehicles into their fleet. In this context, we study the impact of optimal fleet size and composition on an operator’s profitability, which entails a non-trivial tradeoff between operational benefits and higher upfront investment for driverless vehicles.
{"title":"It’s All in the Mix: Technology choice between driverless and human-driven vehicles in sharing systems","authors":"Layla Martin, Stefan Minner, Marco Pavone, Maximilian Schiffer","doi":"10.1016/j.ejor.2025.02.004","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.004","url":null,"abstract":"Operators of vehicle-sharing systems such as carsharing or ride-hailing can benefit from integrating driverless vehicles into their fleet. In this context, we study the impact of optimal fleet size and composition on an operator’s profitability, which entails a non-trivial tradeoff between operational benefits and higher upfront investment for driverless vehicles.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"28 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-15DOI: 10.1016/j.ejor.2025.02.010
Sergey Naumov, Rogelio Oliva
Traditional queuing models mostly leave human judgment and decision making outside the scope of the system, ignoring their role as determinants of system performance. However, empirical evidence has shown that human behavior can substantially alter the system’s output. In this paper, we develop a hybrid approach that improves our understanding of the interplay between individual heterogeneous human agents and aggregate system behavior. We formulate human behavioral responses as feedback control processes, explicitly capturing the agent’s objectives and available information about the system’s state, accounting for delays and possible distortions. Our modeling approach taps into a behavioral modeling tradition that values realism and representativeness, making the formulations flexible and easily adaptable to specific situations. We illustrate our approach by considering a queuing system with delay announcement, commonly found in service and manufacturing settings. We find that the system continuously cycles between periods of low and high utilization, creating a suboptimal mode with predictable periods of high and low congestion and fewer customers served overall. By structuring the effect of behavioral responses as feedback loops, we formally analyze the observed system behavior and map it to behavioral decisions. The proposed modeling and analysis framework can guide system design and improve performance in scenarios where key dynamics are driven by both feedback structure and stochasticity. It provides generalizable structural explanations of the impact of human behavior in queuing systems.
{"title":"Structural feedback and behavioral decision making in queuing systems: A hybrid simulation framework","authors":"Sergey Naumov, Rogelio Oliva","doi":"10.1016/j.ejor.2025.02.010","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.010","url":null,"abstract":"Traditional queuing models mostly leave human judgment and decision making outside the scope of the system, ignoring their role as determinants of system performance. However, empirical evidence has shown that human behavior can substantially alter the system’s output. In this paper, we develop a hybrid approach that improves our understanding of the interplay between individual heterogeneous human agents and aggregate system behavior. We formulate human behavioral responses as feedback control processes, explicitly capturing the agent’s objectives and available information about the system’s state, accounting for delays and possible distortions. Our modeling approach taps into a behavioral modeling tradition that values realism and representativeness, making the formulations flexible and easily adaptable to specific situations. We illustrate our approach by considering a queuing system with delay announcement, commonly found in service and manufacturing settings. We find that the system continuously cycles between periods of low and high utilization, creating a suboptimal mode with predictable periods of high and low congestion and fewer customers served overall. By structuring the effect of behavioral responses as feedback loops, we formally analyze the observed system behavior and map it to behavioral decisions. The proposed modeling and analysis framework can guide system design and improve performance in scenarios where key dynamics are driven by both feedback structure and stochasticity. It provides generalizable structural explanations of the impact of human behavior in queuing systems.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"20 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-15DOI: 10.1016/j.ejor.2025.02.012
João Pedro Pedroso, Shiro Ikeda
This paper addresses the problem of maximizing the expected size of a matching in the case of unreliable vertices and/or edges. The assumption is that the solution is built in several steps. In a given step, edges with successfully matched vertices are made permanent; but upon edge or vertex failures, the remaining vertices become eligible for reassignment. This process may be repeated a given number of times, and the objective is to end with the overall maximum number of matched vertices.
{"title":"Maximum-expectation matching under recourse","authors":"João Pedro Pedroso, Shiro Ikeda","doi":"10.1016/j.ejor.2025.02.012","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.012","url":null,"abstract":"This paper addresses the problem of maximizing the expected size of a matching in the case of unreliable vertices and/or edges. The assumption is that the solution is built in several steps. In a given step, edges with successfully matched vertices are made permanent; but upon edge or vertex failures, the remaining vertices become eligible for reassignment. This process may be repeated a given number of times, and the objective is to end with the overall maximum number of matched vertices.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"70 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-15DOI: 10.1016/j.ejor.2025.02.017
Xiaoping Xu, Xinru Chen, T.C.E. Cheng, Tsan-Ming Choi, Yuanyuan Yang
This study examines a supply chain comprising a live-streaming platform and a manufacturer that sells its products via the platform in the agency or resale mode. Under the carbon trading system, the manufacturer adopts green technology and exhibits the greenwashing behaviour, and the platform chooses whether to use blockchain to eliminate this behaviour. We find that the existence of greenwashing generates a higher profit for the platform in the agency mode. In the resale mode, the existence of greenwashing generates a higher (lower) profit for the platform if the additional profit brought by blockchain is low (high) at a low or moderate cap. However, when the cap is high, the existence of greenwashing hurts the platform’s profit. Furthermore, considering the government’s decision, we find that the existence of greenwashing hurts (improves) the social welfare at a high (low) correlation coefficient between the carbon trading price and potential market demand.
{"title":"Should blockchain be used to eliminate greenwashing for green and live-streaming platform operations under carbon trading systems?","authors":"Xiaoping Xu, Xinru Chen, T.C.E. Cheng, Tsan-Ming Choi, Yuanyuan Yang","doi":"10.1016/j.ejor.2025.02.017","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.017","url":null,"abstract":"This study examines a supply chain comprising a live-streaming platform and a manufacturer that sells its products via the platform in the agency or resale mode. Under the carbon trading system, the manufacturer adopts green technology and exhibits the greenwashing behaviour, and the platform chooses whether to use blockchain to eliminate this behaviour. We find that the existence of greenwashing generates a higher profit for the platform in the agency mode. In the resale mode, the existence of greenwashing generates a higher (lower) profit for the platform if the additional profit brought by blockchain is low (high) at a low or moderate cap. However, when the cap is high, the existence of greenwashing hurts the platform’s profit. Furthermore, considering the government’s decision, we find that the existence of greenwashing hurts (improves) the social welfare at a high (low) correlation coefficient between the carbon trading price and potential market demand.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143641016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-14DOI: 10.1016/j.ejor.2025.02.011
Eleftherios Siskos, Antoine Desbordes, Peter Burgherr, Russell McKenna
Decision problems are often characterized by complex criteria dependencies, which can hamper the development of an efficient and theoretically accurate multicriteria decision aid model. These criteria interactions have the form of either a redundancy or synergistic effect and require arduous and demanding preference statements for their quantification. This paper investigates interactions between pairs of criteria in decision models and addresses them with the proposition of an MCDA framework, coupling the elicitation protocol of the method of cards and the 2-additive Choquet integral preference model. An interactive robustness control algorithm ensures the concurrent acquisition of a stable decision model and satisfactory evaluation results. Robustness is assessed with a portfolio of robustness indicators, spanning from the variability of the preference parameters to the reduction of the model's feasible space and rank acceptability indices. At the core of the algorithm, a heuristic module generates pairwise elicitation questions and selects those delivering the highest expected information gain. The whole framework is stress-tested with a small-scale decision problem, where three versions of the heuristics are automatically applied, with the machine randomly answering the questions. Subsequently, the same problem is approached with the involvement of a real decision maker, with a view to appraising the required cognitive effort and receiving valuable feedback.
{"title":"Integrated assessment of a robust Choquet integral preference model for efficient multicriteria decision support","authors":"Eleftherios Siskos, Antoine Desbordes, Peter Burgherr, Russell McKenna","doi":"10.1016/j.ejor.2025.02.011","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.02.011","url":null,"abstract":"Decision problems are often characterized by complex criteria dependencies, which can hamper the development of an efficient and theoretically accurate multicriteria decision aid model. These criteria interactions have the form of either a redundancy or synergistic effect and require arduous and demanding preference statements for their quantification. This paper investigates interactions between pairs of criteria in decision models and addresses them with the proposition of an MCDA framework, coupling the elicitation protocol of the method of cards and the 2-additive Choquet integral preference model. An interactive robustness control algorithm ensures the concurrent acquisition of a stable decision model and satisfactory evaluation results. Robustness is assessed with a portfolio of robustness indicators, spanning from the variability of the preference parameters to the reduction of the model's feasible space and rank acceptability indices. At the core of the algorithm, a heuristic module generates pairwise elicitation questions and selects those delivering the highest expected information gain. The whole framework is stress-tested with a small-scale decision problem, where three versions of the heuristics are automatically applied, with the machine randomly answering the questions. Subsequently, the same problem is approached with the involvement of a real decision maker, with a view to appraising the required cognitive effort and receiving valuable feedback.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"31 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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