Strategy Science最新文献

Incumbent Incentives in Response to Entry 现有企业对新企业进入的激励措施

IF 3.9

Strategy Science Pub Date : 2024-01-11 DOI: 10.1287/stsc.2022.0060

Richard Saouma, Orie Shelef, Robert Wuebker, Anita McGahan

引用次数: 0

Rationalizing Outcomes: Interdependent Learning in Competitive Markets 结果合理化：竞争市场中相互依存的学习

IF 3.9

Strategy Science Pub Date : 2024-01-08 DOI: 10.1287/stsc.2018.0083

Anoop Menon, Dennis Yao

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引用次数: 0

Big Data Analytics, Firm Size, and Performance 大数据分析、公司规模和绩效

IF 3.9

Strategy Science Pub Date : 2023-12-18 DOI: 10.1287/stsc.2022.0007

Raffaele Conti, Miguel Godinho de Matos, Giovanni Valentini

引用次数: 0

Startup Acquisitions as a Hiring Strategy: Turnover Differences Between Acquired and Regular Hires 初创企业收购作为一种招聘策略：收购员工与正式员工的离职率差异

IF 3.9

Strategy Science Pub Date : 2023-11-17 DOI: 10.1287/stsc.2022.0026

J. D. Kim

{"title":"Startup Acquisitions as a Hiring Strategy: Turnover Differences Between Acquired and Regular Hires","authors":"J. D. Kim","doi":"10.1287/stsc.2022.0026","DOIUrl":"https://doi.org/10.1287/stsc.2022.0026","url":null,"abstract":"Prior studies suggest that acquisitions can increase employee turnover. However, acquired workers are technically new hires, who are generally prone to turnover. Therefore, it is important to benchmark acquired workers against other new hires in the organization. One view suggests that compared with regular hires who select their employer based on a mutual vetting process, acquired workers can experience a poor fit with their new employer (e.g., culture clash), resulting in elevated rates of turnover. Meanwhile, as acquisitions represent a bundle of assets, acquired workers can possess complementarities accumulated with the target firm that reinforce worker–employer fit and thus their retention prospects. Using population-level data from the United States, I find empirical support for both perspectives. Acquired workers from startups exhibit significantly higher turnover rates than regular hires. Moreover, in conditions under which acquired workers’ complementarities are more likely to be preserved—specifically, individuals with longer prior tenure, teams in which the founders remain intact, and target organizations that are structurally separated rather than integrated into the acquirer—I find reduced turnover differences for acquired workers relative to regular hires. Together, these results elucidate whether and when firms can harness human capital through startup acquisitions (“acqui-hiring”). Funding: This research was funded in part by the Ewing Marion Kauffman Foundation. Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2022.0026 .","PeriodicalId":45295,"journal":{"name":"Strategy Science","volume":"56 6","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Market Segment, Organizational Form, and Information Technology Fit 市场细分、组织形式与信息技术匹配

Strategy Science Pub Date : 2023-10-03 DOI: 10.1287/stsc.2022.0071

Victor Manuel Bennett, Ines Black, Todd Hall

{"title":"Market Segment, Organizational Form, and Information Technology Fit","authors":"Victor Manuel Bennett, Ines Black, Todd Hall","doi":"10.1287/stsc.2022.0071","DOIUrl":"https://doi.org/10.1287/stsc.2022.0071","url":null,"abstract":"Several literatures in strategy propose models of the displacement of incumbent firms by newer firms that adopt newer technologies. Although that pattern likely plays out often, it is also often the case that incumbents adopt new technologies less intensively than entrants and yet, are not displaced; the new and old firms coexist. We propose one explanation built on the fundamental notion in strategy of the importance of fit between activity system components. We combine three existing models from strategy in a way that allows us to generate novel predictions. When corroborated, these predictions suggest that the patterns we observe are likely the result of issues of multidimensional fit and cannot be explained by a simpler model. One model predicts that market segment choice is a function of the order of entry. A second suggests that organizational form must fit with market segment choice, and a third suggests that information technology adoption returns depend on organizational form. Jointly, these models produce a chain of logic explaining why early entrants might be less likely to adopt information technology. The combined model also yields a novel prediction about when we expect this pattern to emerge. Specifically, in settings without a sufficiently large scope for product customization or the possibility of variation in organizational form, we predict that the relationship between entry order and technology adoption is attenuated. We find patterns consistent with our predictions using rich employer-employee linked administrative data from Portugal. Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2022.0071 .","PeriodicalId":45295,"journal":{"name":"Strategy Science","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135696513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Profiting from Data Commons: Theory, Evidence, and Strategy Implications 从数据共享中获利:理论、证据和策略含义

Strategy Science Pub Date : 2023-09-15 DOI: 10.1287/stsc.2021.0080

Jason Potts, Andrew Torrance, Dietmar Harhoff, Eric von Hippel

{"title":"Profiting from Data Commons: Theory, Evidence, and Strategy Implications","authors":"Jason Potts, Andrew Torrance, Dietmar Harhoff, Eric von Hippel","doi":"10.1287/stsc.2021.0080","DOIUrl":"https://doi.org/10.1287/stsc.2021.0080","url":null,"abstract":"We define data commons as repositories of freely-accessible, “open source” innovation-related data, information and knowledge. Data commons are and can be a significant resource for both innovating and innovation-adopting firms and individuals. First, the availability of free data and information from such commons reduces the innovation-specific private or open investment required to access the data and make the next innovative advance. Second, the fact that the data are freely accessible lowers transactions costs substantially. In this paper, we draw on the theory and empirical evidence regarding innovation commons in general and data commons in particular. Based on these foundations, we consider strategic decisions in the private and public domain: how can individuals, firms and societies profit from data commons? We first discuss the varying nature of and contents of data commons, their functioning, and the value they provide to private innovators and to social welfare. We next explore the several types of data commons extant today, and their mechanisms of action. We find that those who develop innovation-related information at private cost already have, surprisingly often, an economic incentive to freely reveal their information to a data commons. However, we also find and discuss important exceptions. We conclude with suggestions regarding needed innovation research, data commons “engineering”, and innovation policymaking that could together increase private and social welfare via enhancement of data commons. Funding: D. Harhoff was supported by Deutsche Forschungsgemeinschaft [CRC TRR 190].","PeriodicalId":45295,"journal":{"name":"Strategy Science","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135397281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial Board 编辑委员会

IF 3.9

Strategy Science Pub Date : 2023-09-01 DOI: 10.1287/stsc.2023.eb.v8n3

引用次数: 0

The Other Invisible Hand: How Markets—as Institutions—Propagate Conformity and Valuation Errors 另一只看不见的手:作为机构的市场如何传播一致性和估值错误

Strategy Science Pub Date : 2023-09-01 DOI: 10.1287/stsc.2022.0173

Sheen S. Levine, Edward J. Zajac

{"title":"The Other Invisible Hand: How Markets—as Institutions—Propagate Conformity and Valuation Errors","authors":"Sheen S. Levine, Edward J. Zajac","doi":"10.1287/stsc.2022.0173","DOIUrl":"https://doi.org/10.1287/stsc.2022.0173","url":null,"abstract":"The institutionalized status of markets is undoubtedly due to their presumed ability to aggregate individual bids into a single unbiased estimate of value. While not denying this emergent property of market processes, we propose and test an alternative perspective that explains how market processes can also generate the propagation of individual valuation errors that aggregate into price bubbles. Theoretically, we advance a microinstitutional perspective that draws from social and evolutionary psychology linking market processes to a more general process of institutionalization, whereby individuals seeking the adaptive benefits of conformity may—due to bounded and socially biased rationality—instead generate maladaptive individual and collective outcomes. Empirically, we craft an efficient experimental market and find three sets of evidence consistent with our microinstitutionalization perspective. We first show—at the individual level—that market participants exhibit a social bias toward conformity with the market’s collective valuation, even when the emergent market valuation is demonstrably incorrect. We then show—at the market level—that the range of valuations over time also decreases in a conforming direction, again independent of valuation accuracy. Last, we provide the first experimental test of the long-assumed effect of social ambiguity on institutionalization, finding that market participants’ over-attention to the collective valuation is indeed sensitive to variation in social ambiguity. We conclude by highlighting the relevance of our theoretical perspective, method, and findings for future research on institutions and institutionalization processes, as well as future studies on social influence and conformity-based errors. Funding: S. S. Levine acknowledges research grants from Singapore Management University; the University of Texas at Dallas; and the European Research Council (agreement 695256). Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2022.0173 .","PeriodicalId":45295,"journal":{"name":"Strategy Science","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135944507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Re-Examining the Industry Experience–Venture Survival Relationship 重新审视行业经验与企业生存关系

IF 3.9

Strategy Science Pub Date : 2023-07-19 DOI: 10.1287/stsc.2022.0033

Agnes Guenther, J. Shaver

{"title":"Re-Examining the Industry Experience–Venture Survival Relationship","authors":"Agnes Guenther, J. Shaver","doi":"10.1287/stsc.2022.0033","DOIUrl":"https://doi.org/10.1287/stsc.2022.0033","url":null,"abstract":"We re-examine the finding that new ventures employing individuals with industry experience have survival advantages and conclude that it is unlikely a reflection of the underlying theoretical mechanism advanced in the literature—individuals applying their industry-specific knowledge. We come to this conclusion by leveraging detailed linked employer-employee data from Denmark and conducting an inferred pattern analysis where we analyze several empirical relationships that we interpret in tandem. After replicating the industry experience–venture survival relationship, we identify several empirical puzzles if the underlying causal mechanism is leveraging industry-specific knowledge. In light of these puzzles, analysis of their robustness, and initial exploratory empirical investigations, we propose that other human capital characteristics that correlate with industry experience (i.e., overall experience and wages) are better explanatory factors. The analysis illustrates how the data-grounded steps of an inferred pattern analysis can guide future theoretical development and empirical investigations to identify the causal mechanism underlying a well-established empirical relationship in the literature. Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2022.0033 .","PeriodicalId":45295,"journal":{"name":"Strategy Science","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43048606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revisiting the World Management Survey in Strategy: Applications to Theory and Replication 战略世界管理调查:理论与复制的应用

IF 3.9

Strategy Science Pub Date : 2023-07-07 DOI: 10.1287/stsc.2022.0006

Daniela Scur, Sarah Wolfolds

引用次数: 1