Single Supplier Research Articles

Impact of various fairness-based distribution models on supply chain networks from the perspective of customer satisfaction

AbstractThis study investigates the effectiveness of two fairness-based distribution approaches—type I and type II—in enhancing the resilience of supply chain networks (SCNs) during disruptions. The research contributes to the growing body of knowledge on supply chain management by offering insights into how fairness principles can be applied to improve the restoration of disrupted networks. A mixed-integer programming model was developed to simulate these fairness-based distribution strategies, focusing on a water supply chain network of a privet company in Saudi Arabia. The SCN consists of a single supplier and ten demand nodes, each requiring multiple commodities. The model was tested under 100 random disruption scenarios, each reducing the capacity of randomly selected network segments. The performance of each fairness-based distribution approach was evaluated based on how quickly and effectively the SCN returned to its required service levels (SLs) across all demand nodes. Results indicate that Fairness Distribution Type I, which aims to minimize unmet demand across the entire network, generally outperformed Type II in terms of speed and efficiency. Type I was more effective at restoring SLs quickly at most nodes, while Type II showed localized advantages, particularly in restoring SLs for specific commodities at select nodes. The study concludes that while Type I is more suited for overall supply chain recovery, Type II may be beneficial in scenarios requiring focused recovery at specific demand nodes. These findings provide actionable insights for supply chain managers seeking to enhance network resilience through fairness-based distribution strategies, and suggest avenues for future research on hybrid and context-specific approaches.

Carbon emission reduction dynamic decision-making in the electricity supply chain with different carbon emission allowance principles

To address the impacts of typical principles for allocating initial carbon emission allowance, namely, the grandfathering and benchmarking principles on long-term emission reduction strategies, this paper presents four differential game models for an electricity supply chain consisting of a single electricity supplier and a single electricity retailer. The equilibrium solutions for different models are obtained and comparatively analyzed. The results show that the power supplier exhibits greater emission reduction efforts and, therefore, that the retailer has higher profits under the benchmarking principle than under the grandfathering principle. Moreover, under the two principles, the level of the power supplier’s emission reduction efforts is related to the decision-making modes of the electricity supply chain. Under specific conditions, the power supplier’s profit is also higher under the benchmarking principle than under the grandfathering principle. In addition, this study extends the models to investigate the constrained differential game models and obtains the game equilibrium solutions, which can be proved as saddle point equilibria.

An iterative price-based combinatorial double auction for additive manufacturing markets

The increasing adoption of additive manufacturing (AM) in the industrial sector is leading to an imbalance between supply and demand of additively manufactured subcomponents: companies demanding AM services require very specific products and AM suppliers differ widely in their capabilities. Some existing proposals aim to help match supply and demand by merely making customer–supplier allocations. Only a few recent works go beyond allocation issues and propose market mechanisms to also address pricing aspects. However, we observe that these mechanisms do not fully exploit the potential of additive manufacturing techniques. The aim of this paper is to design a market mechanism that considers the particularity of AM techniques, wherein suppliers can benefit from manufacturing multiple heterogeneous parts from multiple customers in the same build area to increase production throughput. This market mechanism has been implemented as an iterative combinatorial double auction that adapts to this feature of the AM market: customers will bid to get their orders produced and suppliers will submit asking quotes to win the production of combinations of those orders. The mechanism solves the allocation and pricing of AM orders while seeking the maximization of social welfare. The procedure is simulated in a theoretical environment to evaluate its performance and to identify the most appropriate conditions for its implementation in a real environment. Unlike other existing proposals for client-supplier allocation mechanisms in additive manufacturing, the proposed mechanism allows a single supplier to produce a combination of orders from different clients, leading to a pricing system that maximizes social welfare without participants disclosing sensitive information.

Research on low-carbon supply chain emission reduction strategies based on blockchain technology

The difficulty of regulating carbon trading due to information asymmetry and low consumer trust in low-carbon products are key factors hindering companies from reducing emissions. This paper examines a manufacturer-led secondary low-carbon supply chain consisting of a single supplier and a retailer, focusing on the impact of blockchain technology on carbon transaction costs and consumers' low-carbon preferences. Utilizing Stackelberg game theory, the paper constructs a supply chain decision model for emission reduction, determining the payment matrix and analyzing the stable strategy for blockchain adoption through evolutionary game theory. The findings indicate that retailers' adoption of blockchain technology significantly promotes emission reduction within the supply chain, whereas manufacturers' adoption has minimal impact. Additionally, the study reveals that variations in blockchain adoption costs and carbon quotas result in multiple evolutionary stable strategies. Specifically, when blockchain adoption costs and carbon quotas are below certain thresholds, the system reaches a unique equilibrium where both parties adopt blockchain technology.

Capacity management in supply chains under risk of supply disruptions: a mathematical model for establishing capacity reservation contracts

ABSTRACT Capacity management and supply chain disruptions are the most challenging problems faced in high tech industries. This paper focuses on establishing a capacity reservation contract between a single supplier and two heterogeneous retailers in a two-stage supply chain, wherein the retailers purchase a product from the supplier and sell it to the customers. In this study, a mathematical model is built for all parties involved, incorporating numerous essential elements of a real contract. The proposed model aims to assist in determining the best solutions for the retailers’ reserved capacities to the supplier and the supplier’s constructed capacity. Analytical results and sensitivity analyses are presented to demonstrate how various cost elements, price, and uncertainty affect the optimal capacity decisions.

Competing buyers’ investment and ordering strategies under supply disruption

Supply chain disruptions can be costly and disruptive, and reducing supplier uncertainty through investments can be an effective strategy for mitigating these risks. In this study, we explore ordering and investment strategies in a downstream competitive environment, considering supply uncertainty. We consider two buyers ordering from a single supplier and competing in a Cournot market. Buyers must balance investment benefits against costs when making investment decisions. We find that without downstream competition, a relatively low investment proportion can yield a “win-win” outcome. Under downstream competition, an increased number of investors does not necessarily lead to higher supplier reliability. When both buyers invest at a high ratio, the significant decline in order quantities may results in lower supplier reliability. When there is only one investing buyer in the market, even though the competitor may benefit from spillover reliability enhancement — free-riding, the buyer may also be willing to provide an investment subsidy to improve the supplier’s reliability. When both buyers invest at a moderate ratio, downstream competition may benefit all supply chain members. Moreover, increasing wholesale price differentiation and endogenous investment ratios can effectively reduce free-riding behavior of the non-investing buyer. These findings have practical implications for supply chain managers aiming to reduce supply risks and allocate investment resources efficiently.

Information Design and Sharing in Supply Chains

We study the interplay between inventory replenishment policies and information sharing in the context of a two-tier supply chain with a single supplier and a single retailer serving an independent and identically distributed Gaussian market demand. We investigate how the retailer’s inventory policy impacts the supply chain’s cumulative expected long-term average inventory costs [Formula: see text] in two extreme information-sharing cases: (a) full information sharing and (b) no information sharing. To find the retailer’s inventory policy that minimizes [Formula: see text], we formulate an infinite-dimensional optimization problem whose decision variables are the MA([Formula: see text]) coefficients that characterize a stationary ordering policy. Under full information sharing, the optimization problem admits a simple solution and the optimal policy is given by an MA(1) process. On the other hand, to solve the optimization problem under no information sharing, we reformulate the optimization from its time domain formulation to an equivalent z-transform formulation in which the decision variables correspond to elements of the Hardy space H2. This alternative representation allows us to use a number of results from H2 theory to compute the optimal value of [Formula: see text] and characterize a sequence of ϵ-optimal inventory policies under some mild technical conditions. By comparing the optimal solution under full information sharing and no information sharing, we derive a number of important practical takeaways. For instance, we show that there is value in information sharing if and only if the retailer’s optimal policy under full information sharing is not invertible with respect to the sequence of demand shocks. Furthermore, we derive a fundamental mathematical identity that reveals the value of information sharing by exploiting the canonical Smirnov–Beurling inner–outer factorization of the retailer’s orders when viewed as an element of H2. We also show that the value of information sharing can grow unboundedly when the cumulative supply chain costs are dominated by the supplier’s inventory costs. Funding: R. Caldentey acknowledges the University of Chicago Booth School of Business for financial support. Supplemental Material: The online appendix is available at https://doi.org/10.1287/moor.2023.008 .

Optimal Policies and Heuristics to Match Supply with Demand for Online Retailing

Problem definition: We consider an online retailer selling multiple products to different zones over a finite horizon with multiple periods. At the start of the horizon, the retailer orders the products from a single supplier and stores them at multiple warehouses. The retailer determines the products’ order quantities and their storage quantities at each warehouse subject to its capacity constraint. At the end of each period, after random demands in the period are realized, the retailer chooses the retrieval quantities from each warehouse to fulfill the demands of each zone. The objective is to maximize the retailer’s expected profit over the finite horizon. Methodology/results: For the single-zone case, we show that the multiperiod problem is equivalent to a single-period problem and the optimal retrieval decisions follow a greedy policy that retrieves products from the lowest-cost warehouse. We design a nongreedy algorithm to find the optimal storage policy, which preserves a nested property: Among all nonempty warehouses, a smaller-index warehouse contains all the products stored in a larger-index warehouse. We also analytically characterize the optimal ordering policy. The multizone case is unfortunately intractable analytically, and we propose an efficient heuristic to solve it, which involves a nontrivial hybrid of three approximations. This hybrid heuristic outperforms two conventional benchmarks by up to 22.5% and 3.5% in our numerical experiments with various horizon lengths, fulfillment frequencies, warehouse capacities, demand variations, and demand correlations. Managerial implications: A case study based on data from a major fashion online retailer in Asia confirms the superiority of the hybrid heuristic. With delicate optimization, the heuristic improves the average profit by up to 16% compared with a dedicated policy adopted by the retailer. The hybrid heuristic continues to outperform the benchmarks for larger networks with various structures. Funding: X. Li is supported by the Singapore Ministry of Education [Tier 1 Grant 23-0619-P0001]. Y. F. Lim is grateful for the support from the Singapore Management University under the Maritime and Port Authority Research Fellowship and the Singapore Ministry of Education [Tier 1 Grant MSS23B001]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2021.0394 .

Research on Coordination of Fresh Supply Chain Considering Supplier Misreporting and Consumer Return

Misreporting is prevalent in supply chain characterized by asymmetric information, and its impact on the supply chain is substantial and cannot be overlooked. In order to explore the impact of fresh supplier’s misreporting decisions on fresh supply chain, this paper takes the fresh supply chain with a single fresh supplier and a single e-commerce enterprise as the research object, and constructs five Stackelberg game models based on the differences of supply chain information transparency and power structure. Particularly, the effect of fresh-keeping level on the after-sales rate and market demand of the product is incorporated into the model, and the following conclusions are drawn by solving and analyzing the decision results of the different models: (1) When the supplier has the decision advantage, it will not choose to misreport. But when it loses the decision advantage, it will produce the misreporting behavior. Supplier misreporting is detrimental to the retailer and the supply chain; specifically, it can lead to lower fresh-keeping level and higher after-sales rates. (2) In the decentralized decision-making model, it is more beneficial for the supply chain that the supplier has the leading right of decision-making. In the absence of misreporting, the leader’s profit is always higher than that of the follower. When there is misreporting, even if the retailer is the dominant player, its profit is still lower than the manufacturer’s. (3) Both supply chain profit and fresh-keeping level are positively correlated with the coefficient of consumer perception of freshness and the coefficient of sensitivity to fresh-keeping technology, and are more significant under the centralized decision-making model. Furthermore, in response to supplier misreporting behavior, this paper achieves coordination in the fresh supply chain by designing a joint contract and confirms the effectiveness of this contract through an arithmetic analysis.

Interdependence and specialization in the global semiconductor industry

Interdependence between the United States (U.S.), European Union (EU) and Asia in the semiconductor industry, driven by specialization, can serve as a preventive measure against disruptions in the global semiconductor supply chain. Moreover, with rising geopolitical tensions, the cost-intensive nature of the semiconductor industry and a slowdown in demand, interdependence and partnership provide countries with opportunities and benefits. Specifically, by analyzing global trade patterns, developing the Interdependence Index within the semiconductor market, and applying the Grubel-Lloyd Index to the U.S., the EU, and Asian countries from 2011 to 2022, our findings reveal that interdependence enhances regional semiconductor supply chains, such as the establishment of semiconductor foundries in the U.S., Japan, and the EU; reduces dependence on a single supplier, such as the U.S. distancing from China; and increases market share in different semiconductor segments, as demonstrated by Taiwan in automobile chips. The evidence indicates that China heavily depends on foreign sources to meet its semiconductor demand, while Taiwan and South Korea specialize as foundry service providers with lower Interdependence Index values. The U.S. maintains a moderate level of dependence on semiconductor imports due to its strong presence in manufacturing and research, while the EU exhibits a relatively higher level of interdependence, emphasizing its reliance on semiconductor imports. The stage-specific analyses indicate that the U.S. and the EU rely on Asia for semiconductor devices, while China and Taiwan have a higher dependence on American intermediate inputs and European lithography machines.

Assessing the Anti-Corruption Capability of Public E-Procurement Adoption: A Case Study in the Federal Government of Somalia

This study examines the potential of public e-procurement to serve as a means to counteract corruption in Somalia. Coupled with Generalized Linear Regression (GLM), survey research design is employed to investigate the dynamics between different e-procurement components and factors associated with corruption, such as monopoly power, asymmetric information, transparency, and accountability. The research focuses on ministries and government departments in Mogadishu, encompassing all 25 federal ministries in the sample. The findings reveal that public e-procurement is linked to a reduction in monopoly power, indicating a decline in the influence of single suppliers in the market. Additionally, e-procurement diminishes asymmetric information in the procurement process, promoting fairness and equal access to information for all stakeholders. The study further confirmed a positive relationship between e-procurement adoption and heightened transparency and accountability within public procurement processes. The implications of these findings are significant for policymakers, underscoring the value of investing in e-procurement infrastructure to foster integrity, operational efficiency, and public trust in the realm of public procurement.

Blockchain technology for supply chain traceability: A game-theoretic analysis between e-platforms.

In view of the rapid development and application of blockchain technology, this paper considers a secondary supply chain system consisting of a single upstream supplier and a downstream e-tailer that implements blockchain technology and a traditional e-tailer that does not implement blockchain technology. We establish the demand function of two channels based on consumers' sensitivity to the blockchain and use the Stackelberg game model to compare and analyse the e-tailers' profits from the two channels. For the basic properties, interestingly, we find that there exists a critical threshold on the cost sensitivity to effort that helps each e-tailer decide whether to implement effort. If the cost sensitivity to effort is high, the two-sided e-tailers will reduce their effort as much as possible to obtain greater profits. Conversely, if the cost sensitivity to effort is low, they will increase their effort to obtain more benefits. We also discuss the role of blockchain technology in competition between e-tailers and analyse the impact of the product brand effect brought by the traceability characteristic of blockchain on the competition between e-tailers. To check the robustness of the core results and to investigate different forms of supply chain configurations, this paper further develops the analysis of the supplier entering agency agreements with two-sided e-tailers. Under this scenario, the supplier sells their products directly to consumers through two-sided e-platforms and shares revenue with e-tailers as platform agency fees. These core ideas remain valid in the extended model.

Офсетный контракт в пользу единственного поставщика как механизм выстраивания импортозамещения и инвестиций в здравоохранении

актуальность статьи обусловлена тем, что недостаток импорта представляет собой существенную угрозу для функционирования здравоохранения России как в текущем, так и в долгосрочном измерении, поэтому импортозамещение в данной сфере является приоритетной задачей. Целью статьи является теоретическое обоснование офсетного контракта в пользу единственного поставщика в качестве механизм выстраивания импортозамещения и роста инвестиций в здравоохранении. Для достижения цели исследования были поставлены и решены следующие задачи: определены тенденции реализации политики импортозамещения в России в целом и в здравоохранении в частности; выделены теоретические особенности, достоинства и недостатки применения офсетных соглашений в развитии промышленности; обоснована практическая результативность офсетных контрактов в качестве механизма модернизации промышленности и привлечения инвестиций. the subject of the study is an offset contract in favor of a single supplier. The relevance of the article is due to the fact that the lack of imports poses a significant threat to the functioning of Russian healthcare both in the current and long-term, therefore import substitution in this area is a priority. The purpose of the article is to theoretically substantiate the offset contract in favor of a single supplier as a mechanism for building import substitution and increasing investment in healthcare. To achieve the goal of the study, the following tasks were set and solved: trends in the implementation of the import substitution policy in Russia in general and in healthcare in particular were identified; the theoretical features, advantages and disadvantages of using offset agreements in industrial development are highlighted; the practical effectiveness of offset contracts as a mechanism for industrial modernization and attracting investment is substantiated.

Optimal ordering quantity by retailer from supplier with transportation cost in a supply chain

Successful retailer-supplier collaborative relationship enhance profitability in the delivery of products or services to customers in a supply and can help alleviate pressures along all key points in the supply system. A strong alliance can bring products to market faster; reduce production and logistics costs, drive market shares, and increase sales, while maximizing profit for both partners. The success of fast-moving consumer goods from the suppliers has a direct relationship with the performance of the leading retailers, which are their main channel of distribution. The objective of this study was to establish a profit model between a single supplier and multiple supply chain collaboration that will enhance response to customer requirements. We considered the costs for various parties and use a referenced simplified framework model to obtain joint optimal pair for the outcome of coordination between the retailer and supplier. Our results showed that the value of the annual cost, with the same optimal ordering quantity, is higher when the retailer incurs transportation cost than when the supplier incurs transportation cost. This study revealed that the supplier will minimize cost when incurring transportation charges and maximize profit.

Vendor Managed Inventory (VMI) Implementation in Recycled PET Preform for The Beverage Industry

The beverage industry is a company that is focused on producing mineral water in Polyethylene Terephthalate (PET) bottles. PET bottles serve as the primary packaging choice in the beverage industry, making the use of preforms as a material for bottles unavoidable. On the other hand, the public is more aware of using sustainable materials. Adapting market awareness, the company shifted from virgin material to recycled material. Due to the significant initial investment, the company has decided on a single supplier strategy for recycled PET preform suppliers. This policy forces the company to manage the supplier to meet the company’s delivery accomplishment target. Currently, in the management of beverage found in the industry, the supplier only reaches 50% of delivery accomplishments, whereas the company target is 90%. The beverage industry strived for a revolution, so the company’s target was achieved. The vendor managed inventory method is implemented in this study to create a new revolution for PET preform suppliers, a new replenishment system. After the implementation of Vendor Managed Inventory (VMI), there has been an improvement, reaching 95% in delivery accomplishment. The adoption of vendor managed inventory ensures the attainment of the company’s objectives.

РАЗВИТИЕ ТЕХНОЛОГИЙ ЦИФРОВОЙ ЭКОНОМИКИ КАК НАПРАВЛЕНИЕ ПОВЫШЕНИЯ УРОВНЯ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РОССИИ В СФЕРЕ ГОСЗАКУПОК

. In the context of a sharp decline in the country’s budget revenues and an increase in its expenses, it is very important to organize the effective use of available resources, including financial ones. Therefore, it is very important to organize a system for regulating the use of budget funds through the system of organizing public procurement. Many enterprises consider this sector of activity economically profitable for themselves, since public procurement is associated with the provision of quality services in the healthcare sector, the agricultural sector and the social sphere, is a motivator of innovative development, a lever to combat environmental pollution, and also provides a factor in sustainable development. Starting in 2020, government procurement was transferred to electronic format. In a study conducted by the Institute of State and Municipal Management of the National Research University Higher School of Economics, which was published on December 20, 2021, an anonymous survey revealed that most representatives of business structures participating in public procurement encounter corruption during the competitive procedures. Based on the results of the analysis, it was revealed that open competition in electronic form and procurement from a single supplier (performer, contractor) are the most susceptible to corruption. And the best from the point of view of anti-corruption is an electronic auction, since it takes place in real time, which creates public control over the auction. As a result of the research, directions for openness and accessibility of information on public procurement for all interested parties, automation of the process of selecting a winner in a limited time without the influence of the customer with the participation of artificial intelligence were proposed. This will help increase the level of economic security of Russia in the field of public procurement.

Impact of supply risk on cost pass-through

ABSTRACT We study the cost pass-through rate in a supply chain setting where a buying firm sources from either a single unreliable supplier or dual unreliable suppliers. Numerous papers studying cost pass-through rates have assumed that supply is always certain and ample, which is not usually the case in practice. We find that the cost pass-through rate should depend on the supply uncertainty, its risk-sharing levels with upstream suppliers, and different sourcing strategies. In particular, the cost pass-through rate increases in supply risk-sharing levels, but decreases under single sourcing, compared to dual sourcing.

Cross-disciplinary AI supply chain risk assessment

While AI remains chip based and part of both commercial and national strategic superiority goals, it is useful to examine the security and risks associated with achieving those goals. The future strategy rests perilously on an unstable inverted triangle of financial and economic reality. This paper presents the AI chip supply chain as an inverted triangle which base/apex is dependent on a global single supplier with the capability of producing equipment essential for their manufacture. It highlights the dependence on a single company for the fabrication of those chips, and the security risks associated with that supplier being Taiwanese in limited foreign ownership. It is suggested that the increasing tensions between China and the USA have resulted, in part, from this dependence, which was demonstrated by the supply chain crisis resulting from Covid-19. The attempt to reduce this dependence led to the CHIPS and Science Act 2022, signed into law by President Biden. In part of the inverted triangle are found Big Tech and the major Cloud Service Providers. They vary between 60% - 80% of their market capital being in financial institutional ownership, most of which is held by a very limited number of institutions, not all of whom are publicly quoted. To doubt the influence wielded by those financial institutions, just a single institution with major Big Tech and Cloud holdings has, at 31 December 2022, USD 8.59 trillion of assets under management. This represents economic power and places it between the equivalent Gross Domestic Product of China (USD 19.37 trillion) and Japan (USD 4.41 trillion) the second and third entries behind the USA in the GDP rankings. Financial institutions are market driven to achieve growth, contribute to economic stability, and are to an extent regulated by unelected vested interests and organisations. The battlefield for national supremacy of AI may concern chips, until the arrival of quantum AI. Current Chinese economic woes are providing the momentum for pre-emptive strikes at the semiconductor industry, and an inverted triangle is neither a secure nor stable structure for a supply chain.

The ambiguous impact of supplier involvement in product development on supplier relationship resilience and company performance

PurposeI aimed to obtain a deeper insight into the link between supplier involvement in product development (SIPD), supplier relationship resilience and company performance.Design/methodology/approachTo collect data, a survey among 500 Polish manufacturing companies was conducted. I used quantitative methods (structural equation modeling) to test several research hypotheses referring to a single supplier–customer relationship. Thanks to the use of multi-construct measurement of SIPD and supplier relationship resilience, the study provides detailed research results on the topic.FindingsCollaborative practices implemented during SIPD increase procurement flexibility and decrease redundancy in the relationship with the involved supplier. Communication during SIPD increases supplier flexibility and procurement flexibility. Increased supplier flexibility and increased procurement flexibility in the relationship with the involved supplier as well as collaborative practices during SIPD positively impact company performance. I confirmed the indirect effect between communication during SIPD and company performance when the mediators are supplier flexibility and procurement flexibility. Decreased redundancy in relationship with involved supplier does not impact company performance.Practical implicationsSupply chain managers need to rethink SIPD practice to effectively ensure supply chain resilience (SCRES), especially in the face of the contemporary global crisis and black swans affecting the supplier base. My article provides important managerial insights into drivers of SCRES and company performance.Originality/valueTo the best of my knowledge, this research is among the first to conclude that SIPD does not have an unequivocally positive or direct impact on supplier relationship resilience. The research fills the gap by analyzing the impact of SIPD on two main SCRES elements. The study examines supplier relationship resilience, understood as flexibility and redundancy elements, in a single supplier–buyer relationship perspective. Thus, the presented considerations go beyond the traditional understanding of flexibility and redundancy in supplier relationship management, that is through the prism of double or multi sourcing and having back up-suppliers.

Contract Theory-Based Collection, Updating, and Packaging Combination Strategies in Data Trading

In the data transaction process, where a single supplier collects and sells data to heterogeneous data buyers, its transaction strategy relies on the data’s value. In this paper, we measure the value of data in terms of volume and currency and analyze the whole process from data collection and update management to sales. The data supplier determines the maximum amount of data to be collected based on the willingness to pay and the cost of collection and decides the optimal update frequency based on the update cost paid to improve the data utility. Because data sets can be replicated and split nearly costlessly, data suppliers maximize revenue by combining data sets of different sizes. In the information asymmetry scenario, contract theory is applied to obtain the optimal data collection quantity, update frequency, and packaging combination scheme to maximize the profit of data suppliers under data buyer incentive compatibility and individual rationality and compare them with the information symmetry scenario. The results show that data suppliers will only provide personalized data sets to some data buyers, and the needs of some buyers will not be met. Information asymmetry causes data suppliers to reduce the number of data collections and the actual purchases by data buyers, and data suppliers’ profits tend to decrease. The surprising conclusion is that data suppliers should set up more frequent update strategies in the information asymmetry case than in the information symmetry case to sustain the decrease in data utility caused by insufficient quantity. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72071042 and 72201113]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/serv.2023.0018 .