Journal of Operations Management最新文献

{"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":"Abundance Versus Scarcity: An Experimental Study of Financially Constrained Newsvendors","authors":"Mohd Mujahid Khan,&nbsp;B. Vipin","doi":"10.1002/joom.1361","DOIUrl":"https://doi.org/10.1002/joom.1361","url":null,"abstract":"<div>\u0000 \u0000 <p>This study experimentally investigates the ordering behavior of a financially constrained newsvendor-like retailer facing stochastic demand under trade credit. Using controlled laboratory experiments, we examine the ordering behavior of a retailer procuring inventory on trade credit from the supplier under no-bankruptcy risk (NBR) and bankruptcy risk (BR) at low- and high-profit margins. Our experimental observations show deviations from normative optimality, and we find a contrast in the ordering behavior in NBR and BR settings. Compared to the respective normative optimal quantities, in the NBR setting, retailers overorder in the low-profit margin and underorder in the high-profit margin conditions, whereas, in the BR setting, consistent underordering is observed in both the low and high-profit margin conditions. Next, we employ a dynamic panel regression model driven by the demand-chasing heuristic to capture the ordering pattern. Finally, we develop a prospect theoretic model to describe the underordering behavior observed in the BR setting and find that the reference point plays a key role. Our results provide insights into the need to identify the behavior of financially constrained retailers and develop descriptive models for improved decision making.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 5","pages":"630-650"},"PeriodicalIF":6.5,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524557","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":"Towards the Integration of Precision Medicine in Psychiatric Care Delivery: Evaluating the Impact of Clinical Guidelines on Drug-Related Adverse Events","authors":"Jingwen Yang,&nbsp;Anant Mishra,&nbsp;Kingshuk K. Sinha","doi":"10.1002/joom.1353","DOIUrl":"https://doi.org/10.1002/joom.1353","url":null,"abstract":"<p>Despite the immense potential of precision medicine to revolutionize healthcare, its integration into routine clinical practice remains a significant challenge. This study investigates the impact of Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines, which provide synthesized evidence and pharmacogenetics-based drug dosing recommendations, on the delivery of psychiatric care enabled by precision medicine. Specifically, we conduct a comprehensive evaluation of the effect of CPIC guidelines on serious drug-related adverse events and explore how drug characteristics related to therapeutic uncertainty, namely drug age and drug label warning, moderate this effect. Our findings suggest that the availability of CPIC guidelines is associated with almost a 25% decrease in serious drug-related adverse events in the context of psychiatric care delivery enabled by precision medicine. Furthermore, we find that the presence of drug label warning, as FDA-endorsed negative news on pharmacogenetics-related drug use, enhances the effect of CPIC guidelines and is associated with a further decrease in serious drug-related adverse events. Post hoc analysis reveals that CPIC guidelines with high strength of evidence are associated with a significant decrease in serious drug-related adverse events, while no such effect is observed for guidelines with low strength of evidence. These findings contribute to the nascent literature on integrating precision medicine into routine clinical practice, highlighting the consequential role of clinical guidelines in improving the effectiveness of psychiatric care delivery for individual patients enabled by precision medicine. In addition, by demonstrating how the development and implementation of robust clinical guidelines are central to minimizing serious drug-related adverse events, the findings have policy implications for minimizing the downside risks of psychiatric care delivery.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 3","pages":"393-414"},"PeriodicalIF":6.5,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1353","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818694","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":"Gomory Award Highlights the Impact of Industry Studies Research at JOM","authors":"John Paul MacDuffie","doi":"10.1002/joom.1356","DOIUrl":"https://doi.org/10.1002/joom.1356","url":null,"abstract":"&lt;p&gt;For two consecutive years, articles published in the &lt;i&gt;Journal of Operations Management&lt;/i&gt; (JOM) have received the Ralph Gomory Best Industry Studies Paper Award, given annually by the Industry Studies Association (ISA). This achievement is unprecedented and a testimony to JOM's encouragement and support of industry studies research. It also speaks to the remarkable broad impact on firms and industries that the journal continues to provide. In the interest of encouraging future outstanding work of this kind, I here provide a short introduction to industry studies, the ISA, and the Gomory Award. The remaining discussion is devoted to accounts from the authors of the award-winning articles on the “backstory” of their research.&lt;/p&gt;&lt;p&gt;The “industry studies” idea—that much can be learned from close study of industrial activity—dates to the Industrial Revolution. In &lt;i&gt;The Wealth of Nations&lt;/i&gt; (&lt;span&gt;1976&lt;/span&gt;), Adam Smith famously chose to explain the advantages of a specialized division of labor for productivity by providing a detailed explication of the production process in a pin factory. Advocacy for industry studies as a method of scholarship began with Alfred Marshall and his attention to industrial districts in &lt;i&gt;The Economics of Industry&lt;/i&gt; (&lt;span&gt;1879&lt;/span&gt;). Competing firms locate near each other in such a district to gain the benefits of agglomeration—of skilled labor, production inputs, technological expertise, and customer demand.&lt;/p&gt;&lt;p&gt;Marshall was perhaps the first—but surely not the last—to advocate for direct observation as the best way “to get the direct feel of the economic world, more intimate than merely reading descriptions, enabling one to set things in their true scale of importance” (Pigou &lt;span&gt;1925&lt;/span&gt;, describing Marshall's work). Proponents of an industry studies approach see a path to better research questions and the generation of insights that equally inform theory and practice. Attention to industry context opens the door to more varied and valid data; good access allows researchers to “wallow in the data—to get down and dirty with the data” (Hamermesh &lt;span&gt;2008&lt;/span&gt;). Seeking to take advantage of such access can point the way towards the most appropriate (and often multiple) research methods. A phenomenon or empirical puzzle may initiate an industry studies inquiry while the insights may often be “pre-theory” contributions that stimulate further research rather than providing confirmatory testing of pre-determined hypotheses.&lt;/p&gt;&lt;p&gt;Gomory and Sloan staff saw MIT's International Motor Vehicle Program (IMVP) as a prototype. At the time, IMVP was completing a five-year research program that led to the best-selling book &lt;i&gt;The Machine That Changed the World&lt;/i&gt; about the rise of lean production (aka Toyota Production System) as an alternate production paradigm that challenged traditional mass production. Susan Helper, the first Department Editor for JOM's Public Policy Department, and I were among the cor","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 2","pages":"293-297"},"PeriodicalIF":6.5,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639005","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":"Convergence of Product, Production, and Supply Chain Design Rules: Evidence From Pharmaceutical Pre-Competitive Collaboration Networks","authors":"Jagjit Singh Srai,&nbsp;Tomás Seosamh Harrington,&nbsp;Nitin R. Joglekar,&nbsp;Sriram Narayanan","doi":"10.1002/joom.1352","DOIUrl":"https://doi.org/10.1002/joom.1352","url":null,"abstract":"<p>We address a trans-specialist learning and coordination question in pre-competitive manufacturing R&amp;D networks: how do early-stage consortia develop products across “dissimilar” (where knowledge requirements are different, and not solely based within) specialized networks? A unique aspect of the R&amp;D consortia is that they integrate knowledge across product, production, and supply chain domains. This paper uses network ethnography as the methodology—in combining social network analysis with ethnographic methods—while drawing on a 10-year dataset on the evolution of pre-competitive collaboration networks in pharmaceutical continuous manufacturing deploying digital technologies. Our analysis reveals mechanisms through which design rules for products and processes are developed and converged across product, production, and supply chain domains. Specifically, we show that design rules, which are both “set-based” and “trans-specialized”, are the key mechanisms that enable heterogeneous specialist stakeholders to exchange knowledge and facilitate the convergence of development efforts. Second, we highlight the roles of boundary spanners and institutional actors (i.e., academia and regulatory bodies) in steering dialogues towards the convergence of design rules in early-stage R&amp;D settings. The theoretical implications of these findings are not only germane to pharmaceutical drug development networks but also to early-stage product and technology development networks at large.</p>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 3","pages":"314-334"},"PeriodicalIF":6.5,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1352","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818806","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":"Innovations, Technologies, and the Economics of Last-Mile Operations: A Call for Research in Operations Management","authors":"Niels Agatz,&nbsp;Jan C. Fransoo,&nbsp;Elliot Rabinovich,&nbsp;Rui Sousa","doi":"10.1002/joom.1355","DOIUrl":"https://doi.org/10.1002/joom.1355","url":null,"abstract":"&lt;p&gt;Last mile operations (LMO), the processes involved in the critical last stage of delivering goods and services, have widespread relevance across major sectors of the economy, including retail, food services, healthcare, humanitarian services, energy distribution, telecommunications, public services, and others. These operations account for a significant portion of the costs, jobs, and economic output in these sectors. Global economic output involving last mile deliveries alone, for instance, is valued at $165 billion per year and is growing at about 10% per year (InsightAce Analytic &lt;span&gt;2024&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;Recent decades have witnessed an acceleration in the rate of evolution of LMO (Agatz et al. &lt;span&gt;2024&lt;/span&gt;; Boutilier and Chan &lt;span&gt;2022&lt;/span&gt;; Boyer and Hult &lt;span&gt;2005&lt;/span&gt;; Dreischerf and Buijs &lt;span&gt;2022&lt;/span&gt;; He and Goh &lt;span&gt;2022&lt;/span&gt;; Lyu and Teo &lt;span&gt;2022&lt;/span&gt;). Technology-driven innovations have catalyzed profound changes in the planning, design, and execution of LMO, with significant implications for the economics of these operations. Extending the last mile to the final user has increased convenience, accessibility, and reliability. Zipline, for example, has introduced drones to safely deliver lifesaving products in remote communities (Ackerman and Koziol &lt;span&gt;2019&lt;/span&gt;). An increasing number of pharmacies in Europe and Africa have been equipped with smart lockers to allow 24/7 access to critical medicines (Gobir et al. &lt;span&gt;2024&lt;/span&gt;). Some innovations leveraging platforms based on smartphone apps have given small corner stores in neighborhoods in cities across Latin America the means to sell and deliver daily groceries and other household staples to local residents (Escamilla et al. &lt;span&gt;2021&lt;/span&gt;). Other innovations, leveraging artificial intelligence, have found applications in vehicle routing tools and warehouse and fulfillment automation (such as Ocado's system (Mason &lt;span&gt;2019&lt;/span&gt;)), track-and-trace systems that provide real-time communications and visibility into delivery processes (such as Instacart and Uber Eats), anticipatory shipping algorithms to move inventories to specific areas ahead of realized demand (Chen and Graves &lt;span&gt;2021&lt;/span&gt;), and integration tools with third-party services (successfully deployed by ClickPost and ShipEngine).&lt;/p&gt;&lt;p&gt;However, considerable challenges remain. For example, because of short time frames and high delivery volumes to many dispersed locations, LMO have little room for human error. Yet, since many firms tend to tap into low-skilled, temporary, or crowdsourced labor to provide these services, there is high variability in performance and worker availability. LMO are also expensive, due in part to rising labor costs, delivery failures, more demanding customers, and vehicle and parking restrictions. Although academic research in LMO has a long tradition in Operations Research (see e.g., Agatz et al. (&lt;span&gt;2011&lt;/span&gt;), Otto et al. (&lt;span&gt;2018&lt;/span&gt;), Boy","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 2","pages":"166-175"},"PeriodicalIF":6.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joom.1355","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639181","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":"Faster Deliveries and Smarter Order Assignments for an On-Demand Meal Delivery Platform","authors":"Wenzheng Mao,&nbsp;Liu Ming,&nbsp;Ying Rong,&nbsp;Christopher S. Tang,&nbsp;Huan Zheng","doi":"10.1002/joom.1354","DOIUrl":"https://doi.org/10.1002/joom.1354","url":null,"abstract":"<div>\u0000 \u0000 <p>The rapid growth of on-demand meal delivery platforms has heightened competition, making customer retention a critical priority. While prior research on order dispatch algorithms has largely focused on minimizing delivery time or delay, the direct impact of delivery performance on repeat purchases remains underexplored. Using transactional data from an online meal delivery platform in China, we empirically investigate the asymmetric effects of early and late deliveries on customer repurchasing behavior. To address potential endogeneity, we introduce driver experience and local knowledge, two previously overlooked factors in platform algorithms, as novel instrumental variables. The survival analysis shows that late deliveries significantly reduce future orders, while early deliveries provide only limited benefits. Guided by these empirical insights, we develop a simulation-based evaluation of different order dispatch algorithms, revealing that maximizing future orders, rather than minimizing delivery time or delays, yields the highest future orders. These insights offer actionable recommendations for platform managers, stressing the importance of strategic adjustments in dispatch algorithms and integrating heterogeneous treatment effects into algorithmic design. By merging operational delivery performance with consumer behavior insights through causal inference and optimization, this study provides a novel end-to-end framework for creating data-driven dispatch algorithms that enhance both service efficiency and customer retention.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 2","pages":"220-245"},"PeriodicalIF":6.5,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639226","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":"To Fill a Hollow Core: Roles of Firm Knowledge When Outsourcing Core Component During Technological Change","authors":"Woo-Yong Park,&nbsp;Faisal Khurshid,&nbsp;Chanchai Tangpong","doi":"10.1002/joom.1349","DOIUrl":"https://doi.org/10.1002/joom.1349","url":null,"abstract":"<div>\u0000 \u0000 <p>The innovation literature has been marked by contrarian views regarding the roles of firms' knowledge accumulation with regards to outsourced core components. To reconcile these views, we draw on the behavioral theory of the firm and the technological evolution literature in hypothesizing firms' local search as a mechanism by which firms' accumulated knowledge affects their product performance. Firms' in-house knowledge can expose them to an <i>accumulated knowledge trap</i>, as firms' accumulated knowledge tends to escalate their local search for a solution to a new technological challenge, but the impact of the local search on performance is unlikely to be materialized. We maintain that firms' accumulated knowledge can make them more prone to the accumulated knowledge trap <i>before</i> rather than <i>after</i> the dominant technology has emerged. We further hypothesize that prior exploratory experiences and suppliers' outsourced component knowledge can reduce firms' susceptibility to such a knowledge trap <i>before</i> the dominant technology emergence, but their moderating roles fade away <i>after</i> the dominant technology emergence. Data from the U.S. Hybrid Electric Vehicle drivetrain market support our hypotheses. Our findings enrich the current literatures on the behavioral theory of the firm and technological evolution while reconciling the contrarian views in the innovation literature.</p>\u0000 </div>","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"71 1","pages":"130-160"},"PeriodicalIF":6.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424291","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}