Journal of Operations Management最新文献

{"title":"The Impact of “Lazy Minting” on Seller Performance in NFT Marketplaces—A Transaction Cost Economics Perspective","authors":"Mengyuan Fang,&nbsp;Yulin Fang,&nbsp;Chaoyue Gao,&nbsp;Alvin Chung Man Leung,&nbsp;Qiang Ye","doi":"10.1002/joom.1368","DOIUrl":"https://doi.org/10.1002/joom.1368","url":null,"abstract":"<div>\u0000 \u0000 <p>In the burgeoning marketplaces of digital assets, non-fungible tokens (NFTs) revolutionize digital asset ownership and intellectual property (IP) protection, but high minting costs create barriers to marketplace entry and growth. This study examines the impact of “lazy minting,” a new NFT production method introduced by major NFT marketplaces to lower minting costs by deferring blockchain certification until the first sale. In response to the call for further research on emerging technologies in operations management, we explore how this policy affects the net sales performance of existing sellers in the NFT marketplaces. Based on transaction cost economics (TCE) and the literature about different IP protection methods, we distinguish between lazy- and regular-minted NFTs by their differential transaction costs and utilize the staggered difference-in-differences (DID) method to conduct our analysis. We find that lazy minting adoption significantly boosts the net sales performance of existing sellers. This is attributed to their cost-adaptive IP protection behavior. Specifically, they achieve this by minting more NFTs with a larger proportion of style-consistent NFTs through lazy minting, while strategically employing regular minting for style-breaking NFTs, which is contingent upon their reputation. Our study has important theoretical and practical implications for operations management under the emerging technological revolution.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 7","pages":"1017-1035"},"PeriodicalIF":10.4,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145196943","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}

{"title":"Nudging Tactics for Enhanced Compliance With Condition-Based Maintenance Guidelines","authors":"Mateus do Rego Ferreira Lima,&nbsp;Elliot Bendoly,&nbsp;Nathan Craig,&nbsp;Kenneth K. Boyer","doi":"10.1002/joom.1366","DOIUrl":"https://doi.org/10.1002/joom.1366","url":null,"abstract":"<p>Condition-based preventive maintenance (CB-PM), dependent on robust and precise indicators of equipment quality, stands to gain advantages from the integration of sensor technologies. Yet, the effectiveness of such systems relies on an important factor: people. Even in possession of ideal CB-PM policies, imperfect adherence can lead to higher equipment downtime, maintenance costs, and increased safety hazards. Here, we describe a normative model of optimal CB-PM policy determination; specifically, a generalized means by which to determine a valuemaximizing quality threshold as a guideline for triggering PM (preventative maintenance). Motivated by field data, we consider the opportunity cost of not adhering to such optimal policies; that is, premature or delayed responses. We design and execute a controlled laboratory study, exposing participants to two critical manipulations that we theorize might influence adherence: (1) The presence of a supplemental secondary signal, of a type common to time-based preventive maintenance (TB-PM), (2) a pre-task priming intended to emphasize the value of discretized task completion. Results showed that the combination of CB-PM and TB-PM signals, along with completion priming, significantly increases adherence to CB-PM guidelines. We demonstrate that individuals exposed to this combination of treatments forfeit far less value than those receiving CB-PM signals alone.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 5","pages":"700-724"},"PeriodicalIF":6.5,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1366","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144525077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deadline Effect in Stroke Patient Care: A Temporal Motivation Theory Perspective of Process Management","authors":"Brandon Lee,&nbsp;Seokjun Youn,&nbsp;Lawrence Fredendall","doi":"10.1002/joom.1360","DOIUrl":"https://doi.org/10.1002/joom.1360","url":null,"abstract":"<p>Stroke is a highly time-sensitive medical emergency, and earlier treatment is crucial. Drawing on Temporal Motivation Theory, we investigate a “deadline effect” in stroke care and analyze how two deadlines, that is, a <i>medically oriented</i> one (administering Tissue Plasminogen Activator, TPA, within 4.5 h of symptom onset) and a <i>goal-oriented</i> one (the 60-min in-hospital target from <i>Target</i>:<i>Stroke</i>), shape care consistency. We define a deadline effect as a variable task processing rate under time pressure from a pending task completion deadline, which can cause inconsistent care. Clinicians may work more slowly when patients arrive soon after symptom onset, given ample time remains before the 4.5-h TPA window. Using an accelerated-failure-time model and addressing patient selection bias, we find that shorter onset-to-door times correlate with longer door-to-needle times, and vice versa, confirming the medically oriented deadline effect. As a result, care time may vary considerably based on how much of the TPA window remains. Under <i>Target</i>:<i>Stroke</i>, a goal-driven national initiative in the United States to improve stroke care quality, stroke teams face an additional 60-min in-hospital deadline. Our findings show that the initiative prompts stroke teams to prioritize the tighter goal and maintain a more consistent care pace, regardless of patients' arrival times. Our mechanism analyses reveal two boundary conditions for the main findings: (i) when the downstream time segment ends with a mid-point patient care milestone rather than the strict TPA administration deadline or (ii) when the system congestion level is high, the main findings do not hold, advancing the deadline effect literature from an operational standpoint. Furthermore, our major findings are robust to other confounding factors and model assumptions, ruling out alternative explanations. Notably, post hoc analyses confirm that <i>Target</i>:<i>Stroke</i> fosters consistent time performance without adversely affecting other health outcomes, advocating its efficacy. In sum, we highlight the operational implications of multiple deadlines in stroke care, extending the broader deadline effect literature. For hospital clinicians, properly set goals can stabilize care processes and strengthen overall performance, emphasizing the strategic value of well-designed deadlines in time-critical healthcare settings.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 5","pages":"670-699"},"PeriodicalIF":6.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1360","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Operations Management in the Pharmaceutical Industry","authors":"Gopesh Anand,&nbsp;George P. Ball,&nbsp;John V. Gray,&nbsp;Ujjal Kumar Mukherjee","doi":"10.1002/joom.1365","DOIUrl":"https://doi.org/10.1002/joom.1365","url":null,"abstract":"&lt;p&gt;The pharmaceutical manufacturing industry has an annual revenue of $1.2 trillion and employs approximately two million people worldwide (Brocker &lt;span&gt;2024&lt;/span&gt;). The drugs produced by the operations of this industry, which include all activities from scientific innovation to supply chain management, play an important role in the health and well-being of millions of people around the world (OECD &lt;span&gt;2025&lt;/span&gt;). Recent disruptions, especially the COVID-19 pandemic, exposed critical limitations in global pharmaceutical operations, spurring widespread concern (Shih &lt;span&gt;2020&lt;/span&gt;). In the U.S., the Biden Administration deemed pharmaceuticals one of four critical national supply chains, the others being semiconductors, large capacity batteries, and minerals (White House &lt;span&gt;2021&lt;/span&gt;). Further, Congress mandated a report from the National Academies of Sciences, Engineering, and Medicine (NASEM) focused on securing the nation's medical product supply chains against quality and supply disruptions (NASEM &lt;span&gt;2022&lt;/span&gt;). Despite the recognition of its importance, operational challenges in this industry remain prevalent. Drug shortages reached a record high in 2024 (ASHP &lt;span&gt;2024&lt;/span&gt;), and their duration has been increasing (USP &lt;span&gt;2024&lt;/span&gt;). Further, quality issues remain common (e.g., Callahan et al. &lt;span&gt;2024&lt;/span&gt;), and the drug recall trend continues to climb (Ghijs et al. &lt;span&gt;2024&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;The opacity and complexity of pharmaceutical operations are two factors driving the continued quality and resilience issues. As Figure 1 depicts, much of the complexity in the U.S. pharmaceuticals industry stems from intermediaries and payors, who are often vertically integrated and powerful, and who can create and benefit from opacity. Additional complexity comes from the roles of powerful regulators, who oversee, among other things, approvals to produce drugs and ongoing drug quality and safety. We discuss many of these forms of opacity and complexity in detail in the next section.&lt;/p&gt;&lt;p&gt;Operations such as these call for rigorous academic explorations that highlight the unique context of the industry (Joglekar et al. &lt;span&gt;2016&lt;/span&gt;). Operations scholars, for example, can address questions related to balancing cost and quality (Lapré and Scudder &lt;span&gt;2004&lt;/span&gt;; Parmigiani et al. &lt;span&gt;2011&lt;/span&gt;), enhancing the resilience of operations and supply chains (Kim et al. &lt;span&gt;2015&lt;/span&gt;; Shen and Sun &lt;span&gt;2023&lt;/span&gt;), implementing new technologies (Angelopoulos et al. &lt;span&gt;2023&lt;/span&gt;), and demonstrating benefits to, and ways to establish, greater transparency (Buell et al. &lt;span&gt;2017&lt;/span&gt;; Lee et al. &lt;span&gt;2021&lt;/span&gt;). Further, operations researchers can identify the role that powerful regulators, such as the Food and Drug Administration (FDA), play with regards to operational performance dimensions such as innovation, resilience, cost, and quality (Wang et al. &lt;span&gt;2025&lt;/span&gt;). Despite all that operations scho","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 3","pages":"302-313"},"PeriodicalIF":6.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1365","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Encounter Decisions for Patients With Diverse Sociodemographic Characteristics: Predictive Analytics of EMR Data From a Large Chain of Clinics","authors":"Ujjal Kumar Mukherjee,&nbsp;Han Ye,&nbsp;Dilip Chhajed","doi":"10.1002/joom.1363","DOIUrl":"https://doi.org/10.1002/joom.1363","url":null,"abstract":"<div>\u0000 \u0000 <p>Managing chronic diabetes care is a major challenge faced by healthcare organizations because it requires resource commitment over a long duration, high levels of patient engagement in the care process, and the socioeconomic and racial diversity of the patient population significantly affect care outcomes. Therefore, it is important to personalize chronic care treatment to improve chronic care outcomes. We propose a decision framework for the predictive management of diabetes that can help reduce the population-level risk of diabetes. We use machine learning on clinical measures, demographics, and socioeconomic status of a large patient population from a chain of clinics in the Midwestern United States to predict the future health conditions of individual diabetes patients. Furthermore, we use the predictive analytic model outcome to build a decision analytic framework to optimally allocate encounters to individual patients. Also, we propose a heuristic solution to the optimal resource allocation model for implementation purposes. We make theoretical and methodological contributions by identifying and combining clinical, demographic, and socioeconomic factors to predict future diabetes risk for patients and demonstrate the use of the predicted risks for optimal resource utilization. Another significant contribution is demonstrating that a data-driven predictive encounter allocation, considering the socioeconomic and demographic factors influencing health risks across patient populations, can promote more equitable healthcare delivery. Finally, we discuss implementation issues and actions.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 4","pages":"447-482"},"PeriodicalIF":6.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206998","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}

{"title":"Success and Failure of Blockchain Technology Providers: Founders' Power, Beyond-Blockchain Exploration and Centralized Decision-Making","authors":"Yuanzhu Zhan,&nbsp;Andy C. L. Yeung,&nbsp;Kim Hua Tan,&nbsp;Yu Xiong,&nbsp;Xinjie Xing,&nbsp;Fei Ye","doi":"10.1002/joom.1364","DOIUrl":"https://doi.org/10.1002/joom.1364","url":null,"abstract":"<p>Despite a growing focus on blockchain adoption within operations and supply chains, these initiatives exhibit an exceedingly high failure rate, with many failing to achieve sustainable success. Why are enterprise blockchain adoptions highly susceptible to failure? In our inductive case study of five technology providers offering blockchain services for operations and supply chains, we examine how founders' power (i.e., expert, prestige, and ownership) shapes management behaviors that build blockchain perceptions and influence stakeholders toward strategic adoption. Our findings reveal that high-performing cases actively seek inspiration beyond the blockchain ecosystem for service designs and adopt a centralized decision-making approach where key strategic decisions are made internally. In contrast, low-performing cases struggle due to within-blockchain exploration and decentralized decision-making, leading to slower implementation and limited scalability. Furthermore, we find that founders' behaviors in blockchain adoption are embraced by firm members through performance evaluation and interactions, shaping organizational practices and culture, ultimately determining the success or failure of blockchain technology providers. This study extends previous research at the intersection of founders' power and blockchain literature by developing propositions about how different sources of founders' power lead to distinct management behaviors, influencing the success or failure of blockchain adoption outcomes.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 7","pages":"893-916"},"PeriodicalIF":10.4,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolutions of Omni-Channel Fulfillment Performance: An In-Depth Case Study in Grocery Retailing","authors":"Stuart Milligan,&nbsp;Iain Davies,&nbsp;Baris Yalabik,&nbsp;Melih Celik,&nbsp;Brian Squire","doi":"10.1002/joom.1362","DOIUrl":"https://doi.org/10.1002/joom.1362","url":null,"abstract":"<p>The rapid adoption of omni-channel strategies has prompted grocery retailers to reconfigure their back-end fulfillment operations to efficiently and effectively meet the demands of online and offline retail channels. Viewing back-end fulfillment operations in omni-channel grocery retail as a complex adaptive system, we present an eight-year multi-method case study of the UK operations of a leading global grocery retailer. Over this period the share of online sales significantly grew as proportion of overall sales. We observe four evolutions in the back-end fulfillment complex adaptive system to respond to the operational demands associated with increasing online sales. Complex adaptive systems theory suggests that such evolutions should eventually lead to a state of equilibrium, where the system is reconfigured to effectively and efficiently respond to the market. However, we observe that this equilibrium was never achieved and propose this results from two opposing and irreconcilable environmental energies preventing optimal adaptation. Drawing on both in-depth interviews and a proprietary fulfillment dataset from the organization, we expose the implications of conflicting energies being imported from the environment, and propose three strategies, drawn from paradox theory, for reconciling these energies within a complex adaptive system.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 5","pages":"651-669"},"PeriodicalIF":6.5,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1362","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Group Consumption Affects Coupon Acquisition and Redemption: The Moderating Role of Offline Agglomeration in Online Group Buying","authors":"Xiayu Chen,&nbsp;Ruolin Ding,&nbsp;Shaobo Wei,&nbsp;Guanyi Lu","doi":"10.1002/joom.1357","DOIUrl":"https://doi.org/10.1002/joom.1357","url":null,"abstract":"<div>\u0000 \u0000 <p>Local merchants have implemented coupon promotions to attract consumer traffic and improve product sales. Drawing upon signaling theory, this paper examines how a social characteristic of a coupon (i.e., group consumption) influences coupon acquisition and subsequent coupon redemption, along with how such relationships are further influenced by offline agglomeration (i.e., density and product agglomeration). Specifically, we argue that group consumption increases coupon acquisition, which in turn increases coupon redemption, with coupon acquisition serving as a mediator in the relationship. These relationships, however, are contingent upon offline agglomeration signals. Using a large panel data set from a prominent group buying platform, we collect 121,909 observations to test our theoretical model. The findings reveal a positive relationship between group consumption and coupon acquisition and a positive relationship between coupon acquisition and redemption, while the relationship between group consumption and coupon redemption is fully mediated by coupon acquisition. Furthermore, we find that the effect of group consumption on coupon acquisition is strengthened by density agglomeration but attenuated by product agglomeration. The effect of coupon acquisition on redemption is reinforced by density agglomeration. These findings offer valuable implications for local merchants who are seeking to optimize their coupon promotions.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 5","pages":"611-629"},"PeriodicalIF":6.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524766","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}

{"title":"Estimation Using Marginal Competitor Sales Information","authors":"Kalyan Talluri,&nbsp;Müge Tekin","doi":"10.1002/joom.1359","DOIUrl":"https://doi.org/10.1002/joom.1359","url":null,"abstract":"<p>An abiding preoccupation for firms is understanding how customers value their products versus competitors' products. This is difficult to quantify and estimate from data as, even if competitor prices are public information, their sales are typically unobservable. However, in some industries, most prominently the hotel industry, third-party information brokers collect and supply aggregate competitor sales information. In the hotel industry, these reports from Smith Travel Research, popularly known as STR reports, are widely subscribed to. Hotels participate by reporting their sales information and, in turn, obtain access to marginal competitor sales data, in the form of daily occupancy percentage, albeit aggregated across groups and lengths-of-stay. Despite its availability, this data is not widely incorporated into revenue management estimation, likely due to the lack of robust models and methodologies. In this paper, focusing mainly on the hotel industry, we develop a constrained maximum likelihood method (constrained by moment conditions) to overcome the following significant challenges in estimation of a market share model with a competitor attractiveness factor: (i) competitor data is aggregated across multiple lengths-of-stay with varying demand characteristics; (ii) no-purchase data is unobservable, preventing tracking of customers who choose neither the focal firm's (we refer to as our) product nor the competitor's product; (iii) private (unobserved) group sales of competitors prior to retail sales reduce competitor capacity and influence their subsequent prices; and finally, (iv) maximizing the partial-information likelihood function is intractable. We first evaluate our method through Monte Carlo simulations on synthetic data generated under a generalized Nash competition model. In these simulations, our method accurately recovers the true parameters to a close degree in almost all cases, exploiting the marginal competitor data. Next, we apply the method to real-world hotel booking data and benchmark its performance against alternative approaches from the network tomography and revenue management literature.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 5","pages":"588-610"},"PeriodicalIF":6.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incentivizing Blockchain Participation Through Task Assignment Mechanisms: Evidence From a Natural Experiment of Consensus Protocols on Ethereum","authors":"Wei Yang","doi":"10.1002/joom.1358","DOIUrl":"https://doi.org/10.1002/joom.1358","url":null,"abstract":"<div>\u0000 \u0000 <p>This study examines how task assignment mechanisms affect the participation of workers on decentralized blockchains. In developing the theory, I highlight that blockchain represents a distinct organizational form for coordinating operations under a highly decentralized structure, in which the essential tasks of system infrastructure maintenance are assigned to third-party crowd workers through the unique governance mechanism of consensus protocol. I specifically focus on two widely adopted consensus protocols in the context of cryptocurrency, namely, proof-of-work (PoW), which assigns tasks that sustain the blockchain system operation based on workers' investments in computing power, and proof-of-stake (PoS), which assigns these tasks based on workers' investments in the native cryptocurrency as stakes. I argue that compared with PoW, PoS increases worker participation and task decentralization because the investment requirement of task participation in the form of blockchain native assets reduces workers' transaction costs in task contracting and their tendencies for hyper-competition. My empirical analysis leverages a natural experiment on Ethereum, namely, the “Merge” event on September 15, 2022, in which the blockchain changed the assignment rules by switching the consensus protocol from PoW to PoS. The results under a difference-in-differences research design confirm my arguments.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 7","pages":"964-987"},"PeriodicalIF":10.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145196902","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}