Omega-international Journal of Management Science最新文献_第5页

Novel causal decision models for human-centric virtual reality platform selection in supply chain risk management 供应链风险管理中以人为中心的虚拟现实平台选择的新因果决策模型

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-24 DOI: 10.1016/j.omega.2025.103455

Hamidreza Seiti , Mostafa Shabani , Hossein Ghanbari , Sarah Ben-Amor , Ibrahim A. Hameed

This study addresses the complexities of selecting the optimal Virtual Reality (VR) platform for risk management in Supply Chain Management (SCM), emphasizing the significance of human-centric attributes in this decision-making process. As SCM encompasses the strategic coordination of suppliers, manufacturers, and distributors, the integration of advanced technologies, including VR, becomes essential for enhancing operational efficiency and resilience in today’s dynamic market environments. This paper proposes a novel MADM model that incorporates the R.Graph method to account for the interactions between criteria. We developed two distinct algorithms: the first directly calculates ranks based on attribute interactions, while the second modifies weights to reflect these interactions. By focusing on user experience, accessibility, collaboration features, and other relevant attributes, the model aims to facilitate a comprehensive evaluation of VR platforms. The application of qualitative input data allows for a more nuanced analysis, particularly in scenarios where quantitative data is limited. This research contributes to the understanding of how VR technologies can be leveraged to enhance risk management within supply chains, ultimately fostering greater resilience and adaptability. The findings underscore the importance of aligning technology with organizational objectives and user needs, paving the way for innovation and improved performance in the metaverse. The selected platforms for this study are Bentley Synchro XR and Augmentir, which were identified as the top VR technologies for construction SCM risk management based on our evaluation.

本研究探讨了在供应链管理（SCM）中选择最佳虚拟现实（VR）风险管理平台的复杂性，强调了以人为本的属性在这一决策过程中的重要性。由于供应链管理包括供应商、制造商和分销商之间的战略协调，包括虚拟现实在内的先进技术的集成对于提高当今动态市场环境中的运营效率和弹性至关重要。本文提出了一种新的MADM模型，该模型结合了R.Graph方法来解释标准之间的相互作用。我们开发了两种不同的算法：第一种算法直接根据属性相互作用计算排名，而第二种算法修改权重以反映这些相互作用。通过关注用户体验、可访问性、协作特性和其他相关属性，该模型旨在促进对VR平台的全面评估。定性输入数据的应用允许进行更细致的分析，特别是在定量数据有限的情况下。这项研究有助于理解如何利用VR技术来加强供应链中的风险管理，最终培养更大的弹性和适应性。研究结果强调了将技术与组织目标和用户需求相结合的重要性，为创新和提高虚拟世界中的性能铺平了道路。本研究选择的平台是Bentley Synchro XR和Augmentir，根据我们的评估，它们被确定为建筑供应链风险管理的顶级VR技术。

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引用次数: 0

Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem 基于逻辑的Benders分解结合列生成的移动3D打印机调度问题

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-22 DOI: 10.1016/j.omega.2025.103442

Tao Li , Hu Qin , Nan Huang

The principles of sharing become increasingly important for boosting business profitability. In the realm of the sharing economy, 3D printers possess the potential to meet the printing demands of an expanded customer base. This paper investigates a class of mobile 3D printer scheduling problems that consider various aspects such as printer allocation, transportation, and production. 3D printers can be transported using truck between customer locations to efficiently fulfill customer orders and achieve optimal resource allocation. A mixed-integer linear programming model is proposed to describe this problem. After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. To address the specific characteristics of the Benders sub-problem, we define a novel tandem sequence structure and develop a tandem-sequence-based column generation for solving the Benders sub-problem. Three strategies, namely dominance rules, effective upper bounds, and tandem sequence deduplication, are constructed to accelerate the algorithm’s convergence. To evaluate the performance of the proposed algorithm framework and acceleration strategies, a comprehensive set of 320 instances and a real-world set of 14 instances are generated for rigorous testing. The experimental results affirm the effectiveness of these approaches and algorithm.

分享原则对于提高企业盈利能力变得越来越重要。在共享经济领域，3D打印机拥有满足不断扩大的客户群的打印需求的潜力。本文研究了一类考虑打印机分配、运输和生产等多个方面的移动3D打印机调度问题。3D打印机可以使用卡车在客户地点之间运输，有效地完成客户订单，实现最佳资源分配。提出了一个混合整数线性规划模型来描述这一问题。在分析模型特点和结构的基础上，设计了一种基于逻辑的Benders分解算法框架。针对Benders子问题的具体特点，定义了一种新的串联序列结构，并开发了基于串联序列的列生成方法来求解Benders子问题。通过构造优势规则、有效上界和串联序列重复数据删除三种策略来加快算法的收敛速度。为了评估所提出的算法框架和加速策略的性能，生成了一组包含320个实例的综合集和一组包含14个实例的真实世界集进行严格测试。实验结果验证了这些方法和算法的有效性。

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引用次数: 0

Sorting electric vehicles via online review: A BERT-based behavioral three-way decision model with cardinal-ordinal preferences 基于在线评论的电动汽车分类：基于bert的基数-序数偏好行为三向决策模型

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-20 DOI: 10.1016/j.omega.2025.103441

Yiqiang Mu, Dun Liu, Zhihui Zhang

The electric vehicle (EV) industry plays a crucial role in the global transition to a low-carbon economy. As the EV market rapidly grows and competition intensifies, consumer feedback represented by online reviews is emerging as a critical factor in shaping EV evaluations and driving market success. To address the challenges of EV assessment we propose a novel BERT-driven behavioral three-way decision (BBTWD) model that integrates cardinal consensus and ordinal preferences. The key methodological contributions include (1) the EV-BERT model, a domain-specific sentiment analysis model that incorporates manually labeled EV review data; (2) the cardinal-ordinal preference modeling approach, which combines the minimum consensus cost model (MCCM) and the weighted Borda count method; and (3) the BBTWD method, which integrates the TODIM and three-way decision method to simultaneously account for the risk-aversion and loss-aversion behaviors of the decision-makers. Two case studies demonstrate the effectiveness and robustness of our method. Specifically, the ranking similarity between the proposed model and baseline methods exceeds 0.893 under both the weighted Spearman correlation measure and the weighted similarity measure. Moreover, our method outperforms existing approaches in sentiment analysis, particularly in terms of identifying negative sentiment. In addition, we assess the impact of weight uncertainty and behavioral factors on both the ranking and classification results through simulation and sensitivity analyses. The results confirm the robustness and practicality of the proposed method. This study advances EV evaluation methodologies by bridging sentiment analysis, preference modeling, and behavioral decision-making, offering actionable insights for both consumers and EV manufacturers.

电动汽车（EV）产业在全球向低碳经济转型中发挥着至关重要的作用。随着电动汽车市场的快速发展和竞争的加剧，以在线评论为代表的消费者反馈正在成为影响电动汽车评估和推动市场成功的关键因素。为了解决EV评估的挑战，我们提出了一种新的bert驱动的行为三向决策（BBTWD）模型，该模型集成了基数共识和顺序偏好。主要的方法贡献包括：(1)EV- bert模型，这是一个特定领域的情感分析模型，包含手动标记的EV评论数据；(2)结合最小共识成本模型（MCCM）和加权Borda计数法的基数-序数偏好建模方法；(3) BBTWD方法，该方法将TODIM和三向决策方法相结合，同时考虑了决策者的风险规避和损失规避行为。两个案例研究证明了该方法的有效性和鲁棒性。具体而言，在加权Spearman相关度量和加权相似度量下，所提模型与基线方法的排序相似度均超过0.893。此外，我们的方法在情绪分析方面优于现有的方法，特别是在识别负面情绪方面。此外，我们通过模拟和敏感性分析，评估了权重不确定性和行为因素对排序和分类结果的影响。结果证明了该方法的鲁棒性和实用性。本研究通过情感分析、偏好建模和行为决策的结合，推动了电动汽车评估方法的发展，为消费者和电动汽车制造商提供了可操作的见解。

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引用次数: 0

Supply chain digital twin design and implementation at scale: A case study at the Ford Motor Company and generalizations 供应链数字孪生模型的大规模设计和实施：福特汽车公司的案例研究及总结

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-20 DOI: 10.1016/j.omega.2025.103447

Dmitry Ivanov , Oleg Gusikhin

In this study, we describe Ford’s practices and propose three industry-based frameworks for supply chain digital twin (SCDT) design and implementation at scale. First, a generalized three-layer framework for the design of SCDTs based on Ford's approach is developed. The layers are intracompany, Tier-1 network, and deep-tier network, classified based on data visibility. We describe how digital twins can enhance operational performance and be utilized for resilience stress testing. Second, generalized frameworks of SCDT implementation are shown composed of two dimensions, i.e., implementation scale and implementation scope. The three-stage implementation scale framework proposes a roadmap for transition from data-driven organizations to digital twin-driven management systems. The four-level implementation scope framework encompasses product, process, organization, and extended network levels, with a focus on the key role of the data analytics department in deploying SCDTs. We then generalize four fundamental principles for SCDTs: (i): object-driven and data-driven design and adaptation, (ii) visibility as the central angle of digital twin design and technology, (iii) digital twins are integrators of data and knowledge, and (iv) SCDT continuous adaptation. To the best of our knowledge, our paper is the first in the literature to report on the design and deployment of an SCDT at scale, which can be useful for academics and practitioners alike. We conclude that a properly developed SCDT can enable strategic and operational performance improvements, end-to-end visibility, agentic AI integration in decision-making, and supply chain stress testing, as well as create a new approach to managing the supply chain.

在本研究中，我们描述了福特的实践，并提出了三个基于行业的供应链数字孪生（SCDT）设计和大规模实施框架。首先，基于Ford的方法，开发了scdt设计的通用三层框架。这些层分为公司内部网络、第一层网络和深层网络，根据数据可见性进行分类。我们描述了数字孪生如何提高操作性能并用于弹性压力测试。其次，给出了SCDT实施的广义框架，该框架由实施规模和实施范围两个维度组成。三阶段实施规模框架提出了从数据驱动型组织向数字双驱动型管理系统过渡的路线图。四个级别的实现范围框架包括产品、过程、组织和扩展的网络级别，重点关注数据分析部门在部署scdt中的关键角色。然后，我们概括了SCDT的四个基本原则：(i)：对象驱动和数据驱动的设计和适应，（ii）可见性作为数字孪生设计和技术的中心角度，（iii）数字孪生是数据和知识的集成商，以及（iv） SCDT的持续适应。据我们所知，我们的论文是文献中第一篇报告大规模设计和部署SCDT的论文，这对学术界和实践者都很有用。我们得出结论，适当开发的SCDT可以实现战略和运营绩效改进，端到端可见性，决策中的代理人工智能集成和供应链压力测试，以及创建管理供应链的新方法。

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引用次数: 0

Fleet size planning in crowdsourced delivery: Balancing service level and driver utilization 众包配送中的车队规模规划：平衡服务水平和司机利用率

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-18 DOI: 10.1016/j.omega.2025.103445

Aliaa Alnaggar, Sahil Bhatt

This paper addresses the fleet size planning problem for crowdsourced delivery platforms, focusing on optimizing the number of crowdsourced drivers to balance the platform’s service level and driver utilization. This is motivated by recent regulatory measures that limit the number of vehicle licenses a platform can hold, which caps fleet size as a means to enhance driver working conditions and mitigate congestion and emissions caused by an excessive number of idle vehicles on the road. We propose a two-stage optimization model where the first stage involves tactical decisions for determining fleet sizes, while the second stage captures the operational dynamics of the platform by a Markov decision process (MDP) in which uncertain crowd driver arrival in the MDP depends on fleet size decisions in the first stage, introducing decision-dependent uncertainty. To efficiently solve the model, we employ a value function approximation (VFA) algorithm that iteratively determines fleet sizes using Boltzmann exploration then approximates the second-stage MDP using a rolling-horizon parametric cost function approximation. Extensive computational experiments confirm the effectiveness of the VFA algorithm, demonstrating its ability to meet both service level and driver utilization targets under various conditions. The results show that a platform can achieve high driver utilization and meet its service level target while only marginally reducing its profit, especially when driver behavior is more predictable and fleet sizes are temporally adjusted.

本文研究众包配送平台的车队规模规划问题，重点优化众包司机数量，平衡平台的服务水平和司机利用率。最近的监管措施限制了一个平台可以持有的车辆牌照数量，这限制了车队规模，以此来改善司机的工作条件，缓解道路上闲置车辆过多造成的拥堵和排放。我们提出了一个两阶段优化模型，其中第一阶段涉及确定车队规模的战术决策，而第二阶段通过马尔可夫决策过程（MDP）捕获平台的运行动态，其中不确定的人群驾驶员到达MDP取决于第一阶段的车队规模决策，引入决策依赖的不确定性。为了有效地求解该模型，我们采用了一种值函数近似（VFA）算法，该算法使用玻尔兹曼探索迭代确定船队规模，然后使用滚动水平参数成本函数近似近似第二阶段MDP。大量的计算实验证实了VFA算法的有效性，证明了该算法能够满足各种条件下的服务水平和驾驶员利用率目标。结果表明，在司机行为可预测性较强、车队规模可临时调整的情况下，平台在实现高司机利用率和服务水平目标的同时，仅能略微降低利润。

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引用次数: 0

A truck–drone delivery problem with location and routing decisions under uncertainty 在不确定的情况下，具有位置和路线决策的卡车-无人机运输问题

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-17 DOI: 10.1016/j.omega.2025.103446

Okan Dukkanci

This study presents a new stochastic delivery problem with location and routing decisions, in which trucks and drones operate together. While trucks are routed between parking lots, drones are launched from parking lots to make deliveries to stores. The problem decides the location of parking lots, the route of trucks, and the assignment of stores to parking lots and drones. The objective function minimizes the total transportation cost of trucks and drones subject to the payload capacity of the trucks and drones, the flying range of the drones, and the time windows for parking lots. The uncertainty of demand and drone travel time is considered to adapt to the dynamics of the real world, such as the volatile customers’ demand and unpredictable weather conditions. We first develop a two-stage stochastic programming formulation and its deterministic equivalent problem reformulation. We propose the scenario decomposition algorithm as an exact solution approach to solve the proposed stochastic problem. We also develop improvement strategies to enhance the performance of the scenario decomposition algorithm. The computational experiments are conducted on two different data sets to evaluate the performance of the scenario decomposition algorithm, analyze the value of stochasticity and the expected value of perfect information, and examine the impact of some key parameters of the problem such as the number of drones per truck, unit transportation costs of drones and trucks, time windows, and payload capacity of trucks and drones.

本研究提出了一种新的随机配送问题，其中卡车和无人机一起操作，具有位置和路线决策。卡车在停车场之间穿梭，而无人机则从停车场发射，向商店送货。该问题决定了停车场的位置，卡车的路线，以及将商店分配给停车场和无人机。目标函数在卡车和无人机的有效载荷能力、无人机的飞行距离和停车场的时间窗口的约束下，使卡车和无人机的总运输成本最小化。考虑到需求的不确定性和无人机飞行时间的不确定性，以适应现实世界的动态，例如不稳定的客户需求和不可预测的天气条件。首先提出了一个两阶段随机规划公式及其确定性等价问题的重新表述。我们提出场景分解算法作为一种精确解方法来解决所提出的随机问题。我们还开发了改进策略来提高场景分解算法的性能。在两个不同的数据集上进行了计算实验，评估场景分解算法的性能，分析了随机值和完美信息期望值，并考察了问题的关键参数如每辆卡车的无人机数量、无人机和卡车的单位运输成本、时间窗、卡车和无人机的有效载荷能力等对问题的影响。

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引用次数: 0

Enhanced indexing using cumulative prospect theory utility function with expectile risk 利用具有预期风险的累积前景理论效用函数增强指数

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-16 DOI: 10.1016/j.omega.2025.103444

Divyanee Garg , Ahmad Zaman Khan , Aparna Mehra

In this article, we explore portfolio selection strategies for enhanced indexation, focusing on integrating behavioral insights from cumulative prospect theory (CPT) to address investor preferences and risk appetite while aiming to achieve returns that outperform the benchmark index. We incorporate loss aversion and probability distortion biases through the CPT utility function and expectile risk measure to mitigate portfolio risk. We propose dynamically adjusting reference points within the CPT utility function as the sum of the index return and a specified excess return to exceed the index’s performance. The excess return is calculated as the average of the positive alphas of the stocks in the benchmark index, derived from the capital asset pricing model. The proposed model is nonlinear, nonconvex, and nondifferentiable.

From an algorithmic standpoint, we design and implement the Real-Coded Genetic Algorithm to solve the newly proposed nondifferentiable nonconvex model. The efficacy of the model is tested using global datasets from Dow Jones, DAX, FTSE 100, and S&P 100. Our empirical evidence shows that by taking a lower risk than the index (measured by the portfolio’s beta), our proposed CPT-based EI model outperforms the ordinary least square regression-based enhanced indexing model, the quantile regression-based enhanced indexing model, the naive strategy, and the benchmark index across nearly all performance metrics. Moreover, increasing the loss aversion parameter in the CPT value function improves the out-of-sample performance metrics up to a certain threshold. To further validate the consistency of our model, we tested it under different market phases of the FTSE 100 index and found favorable results.

在本文中，我们探讨了增强指数化的投资组合选择策略，重点是整合来自累积前景理论（CPT）的行为见解，以解决投资者偏好和风险偏好，同时旨在实现优于基准指数的回报。我们通过CPT效用函数和预期风险度量将损失厌恶和概率扭曲偏差结合起来，以降低投资组合风险。我们建议动态调整CPT效用函数内的参考点，作为指数收益和指定超额收益的总和，以超过指数的表现。超额收益是根据资本资产定价模型计算基准指数中股票的正阿尔法的平均值。所提出的模型是非线性的、非凸的、不可微的。从算法的角度出发，我们设计并实现了实数编码遗传算法来求解新提出的不可微非凸模型。使用道琼斯指数、DAX指数、富时100指数和标准普尔100指数的全球数据集对模型的有效性进行了测试。我们的经验证据表明，通过承担比指数更低的风险（由投资组合的beta衡量），我们提出的基于cpt的EI模型在几乎所有性能指标上都优于普通的基于最小二乘回归的增强索引模型、基于分位数回归的增强索引模型、朴素策略和基准指数。此外，增加CPT值函数中的损失厌恶参数可以将样本外性能指标提高到一定阈值。为了进一步验证我们的模型的一致性，我们在FTSE 100指数的不同市场阶段对其进行了测试，并发现了良好的结果。

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引用次数: 0

The Multi-Level Cards method: Weights elicitation, consistency checking and restoration for hierarchical criteria 多层次卡片法：权重抽取、一致性检查和层级标准恢复

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-10 DOI: 10.1016/j.omega.2025.103438

River Huang , Salvatore Corrente , Eleftherios Siskos , Peter Burgherr

The Simos method is an intuitive and interactive technique in Multiple Criteria Decision Aiding (MCDA) for determining the weights of the evaluation criteria, based on the Decision Maker’s preferences. While the original method offers simplicity, it has several limitations, such as rigidity in weight calculation, insufficient flexibility in accurately capturing the true preferences of the Decision Maker (DM), and issues with the robustness of the results. Extensions, such as the Simos-Roy-Figueira (SRF) method, also known as the “Revised Simos method”, have introduced greater control over weight distribution. However, when criteria are organized in a hierarchical structure, additional information is necessary, while grouping of the criteria can lead to inconsistencies. Furthermore, as the complexity of a decision problem grows, along with the number and intricacy of the criteria, it becomes increasingly challenging for DMs to provide accurate and consistent input. This paper proposes a new SRF extension called the Multi-Level Cards (MLC) method to accommodate hierarchical criteria. The Deck-of-Cards game is designed to compare criteria within and across groups in a structured manner. A consistency checking and restoration process is also developed using an iterative model to ensure reliable and coherent weight elicitation. The proposed MLC method enhances flexibility and precision by enabling cross-group comparisons and addressing inconsistencies. A didactic example involving multi-dimensional criteria illustrates the method’s effectiveness in complex decision-making contexts.

Simos方法是多标准决策辅助（MCDA）中的一种直观的交互式技术，用于根据决策者的偏好确定评估标准的权重。虽然原始方法提供了简单性，但它有一些局限性，例如权重计算的刚性，准确捕获决策者（DM）的真实偏好的灵活性不足，以及结果的鲁棒性问题。扩展，如Simos- roy - figueira （SRF）方法，也称为“修订Simos方法”，引入了对权重分布的更好控制。然而，当标准以层次结构组织时，需要额外的信息，而标准分组可能导致不一致。此外，随着决策问题的复杂性的增长，以及标准的数量和复杂性的增加，dm提供准确和一致的输入变得越来越具有挑战性。本文提出了一种新的SRF扩展，称为多层次卡片（MLC）方法，以适应分层标准。Deck-of-Cards游戏旨在以结构化的方式比较组内和组间的标准。一致性检查和恢复过程也开发了使用迭代模型，以确保可靠和连贯的权重推导。提出的MLC方法通过实现跨组比较和解决不一致性，提高了灵活性和准确性。一个涉及多维标准的教学示例说明了该方法在复杂决策环境中的有效性。

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引用次数: 0

Social E-commerce Operations: Is it wise to adopt short video and live-streaming together? 社交电商运营：将短视频与直播结合使用是否明智？

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-10 DOI: 10.1016/j.omega.2025.103440

Xiaojun Fan , Lu Zhang

In social e-commerce operations, both short videos and live-streaming are important strategies for expanding the market and motivating consumer engagement due to the fan effect of key opinion leaders (KOLs). This study is the first to analyze whether and when a manufacturer should offer both strategies and when one strategy is superior to the other. We consider a manufacturer that sells products through an e-commerce platform in traditional e-commerce channels and chooses to hire a KOL on social e-commerce platforms to stimulate consumer demand. This KOL can create short videos or/and use live-streaming. Then, we formulate four modes: Mode NN (no KOL), Mode SN (short videos and no live-streaming sales), Mode NL (no short videos but have live-streaming sales), and Mode SL (short videos and live-streaming sales). Comparing these four modes, we first find that when only considering adopting Mode SN, manufacturers always hire KOLs with high fan effects to sell products at a higher e-commerce price. However, when manufacturers choose Mode NL and Mode SL separately, KOLs with low fan effects can also allow manufacturers to get more profit if the consumer’s time cost is high. Interestingly, if the KOL’s fan effect is low (high), manufacturers may set a lower (higher) e-commerce price in both modes compared to when no social e-commerce strategy is implemented. Moreover, when manufacturers determine the conditions for introducing each social e-commerce mode separately, Mode SN/SL/NL is optimal for manufacturers only if KOLs have a high fan effect and the consumer’s time cost is high/low/medium.

在社交电商运营中，由于关键意见领袖（kol）的粉丝效应，短视频和直播都是扩大市场和激发消费者参与的重要策略。这项研究首次分析了制造商是否以及何时应该同时提供两种策略，以及何时一种策略优于另一种策略。我们考虑一家制造商在传统电商渠道通过电商平台销售产品，并选择在社交电商平台聘请KOL来刺激消费者需求。这个KOL可以创建短视频或/和使用直播。然后，我们制定了四种模式：模式NN（没有KOL）、模式SN（短视频但没有直播销售）、模式NL（没有短视频但有直播销售）和模式SL（短视频和直播销售）。对比这四种模式，我们首先发现，当只考虑采用模式SN时，制造商往往会聘请具有高粉丝效应的kol以更高的电商价格销售产品。然而，当制造商分别选择NL模式和SL模式时，如果消费者的时间成本高，低风扇效应的kol也可以让制造商获得更多的利润。有趣的是，当KOL的粉丝效应低（高）时，制造商在两种模式下设定的电商价格都可能比没有实施社交电商策略时低（高）。此外，当制造商分别确定引入每种社交电商模式的条件时，只有kol具有较高的粉丝效应且消费者的时间成本为高/低/中等时，SN/SL/NL模式才是制造商的最优模式。

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引用次数: 0

Behavior-based pricing with exclusivity-seeking and strategic consumers 基于行为的定价与排他性寻求和战略消费者

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-09 DOI: 10.1016/j.omega.2025.103437

Enfeng Xing , Jianxiong Zhang , Xiaojie Sun

The rapid progress in information technology has facilitated firms’ widespread adoption of behavior-based pricing (BBP), wherein prices are determined based on consumers’ purchasing history. While previous research has suggested that BBP harms firms under competition but benefits consumers, our analysis reveals novel insights by considering consumer behavior, particularly focusing on exclusivity and strategic buying behavior. We examine the endogenous decision of firms to implement either BBP or uniform pricing, exploring how consumers’ preference for exclusivity and strategic buying behavior affect the pricing strategies of two competing firms. Firstly, note that the conventional view of BBP concludes that it intensifies price competition in the second period while mitigating it in the first period, we find that consumers’ exclusivity and strategic buying behavior jointly amplify the benefits of BBP in softening competition. Therefore, firms can charge higher first-period prices, thereby deriving greater benefits from adopting BBP. We also show that consumers’ exclusivity and strategic buying behavior exhibit complementarity in enhancing firms’ benefits from BBP. Secondly, firms prefer and endogenously choose BBP when the levels of exclusivity and strategic buying behavior are high; otherwise, firms tend to adopt uniform pricing in equilibrium. Thirdly, our findings indicate that when firms endogenously choose BBP, the equilibrium BBP strategy will hurt consumers.

信息技术的快速发展促进了企业广泛采用基于行为的定价（BBP），其中价格是根据消费者的购买历史来确定的。虽然之前的研究表明，BBP损害了竞争中的公司，但对消费者有利，但我们的分析通过考虑消费者行为，特别是关注排他性和战略性购买行为，揭示了新的见解。我们考察了企业实施BBP或统一定价的内生决策，探讨了消费者对排他性和战略性购买行为的偏好如何影响两个竞争企业的定价策略。首先，注意到传统观点认为BBP在第二阶段加剧了价格竞争，而在第一个阶段缓解了价格竞争，我们发现消费者的排他性和战略性购买行为共同放大了BBP在软化竞争方面的好处。因此，企业可以收取更高的首期价格，从而从采用BBP中获得更大的收益。我们还发现，消费者的排他性和战略性购买行为在提高企业BBP收益方面具有互补性。其次，当排他性和战略购买行为水平较高时，企业更倾向于和内生地选择BBP；否则，企业倾向于采用均衡的统一定价。第三，我们的研究结果表明，当企业内生选择BBP时，均衡BBP策略将损害消费者。

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引用次数: 0