About

Linda Argote is the Thomas Lord Professor of Organizational Behavior and Theory at the Tepper School of Business. She serves as the Director of the Center of Organizational Learning, Innovation and Knowledge. Her work focuses on organizational behavior, learning, innovation, and knowledge management, contributing to the understanding of how organizations learn and adapt. As a faculty member at Carnegie Mellon University, she is involved in research and leadership within the business school, emphasizing the development of insights into organizational processes and their impact on business practices.

Research topics

• Computer Science
• Knowledge management
• Engineering
• Psychology
• Political Science
• Epistemology
• Ecology
• Biology
• Management
• Business

Selected publications

• Trauma patients recover faster when medical teams know each other well, new study finds

  2026-03-04

  article1st authorCorresponding
  PublisherDOI

• From tools to constitutive forces: Intelligent technologies in strategy and organization

  Strategic Organization · 2026-04-26

  article

  Intelligent technologies, that is, AI-based, computational systems that can generate, adapt, and act on outputs through forms of inference that extend beyond pre-specified rules, are increasingly implicated in how organizations learn, what they know, and how they are structured. Yet, strategy and organization scholarship has largely continued to treat technology as contextual rather than constitutive, leaving core assumptions about knowledge, social interaction, and organizational form insufficiently examined. In the call for papers, we asked researchers to remedy this by putting technology front and center in rethinking the field’s foundational building blocks. The ten contributions to this special issue take up that call and illuminate three critical ways through which intelligent technologies are reconfiguring organizations. First, intelligent technologies reshape organizational learning by moving firms from managing knowledge scarcity to navigating knowledge abundance. Second, they alter the production and validation of organizational knowledge by introducing new forms of machine-generated inference and epistemic stances that challenge established knowing practices. Third, they transform organizing itself by reshaping coordination, interaction patterns, and the structures through which collective activity is accomplished. A closing editorial synthesizes key insights and develops a research agenda for advancing strategy and organization scholarship in this new landscape.

  PublisherDOI

• Learning in Human-AI Collaboration

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Maximizing Extubation Outcomes Through Educational and Organizational Research (METEOR) Trial: protocol for a batched, stepped-wedge, cluster-randomised, type 2 hybrid effectiveness–implementation trial

  BMJ Open · 2025-10-01

  articleOpen access

  INTRODUCTION: Many patients who are extubated after receiving mechanical ventilation for acute respiratory failure experience extubation failure (ie, require reintubation hours to days after extubation). High-quality evidence shows that extubating patients directly to non-invasive ventilation (NIV) or high-flow nasal cannula oxygen (HFNC), rather than conventional low-flow oxygen, can prevent extubation failure. These guideline-recommended interventions, however, require care coordination involving multiple intensive care unit (ICU) team members and are infrequently used. Interprofessional education (IPE), which teaches members of multiple professions together, could effectively address this implementation gap in complex, team-based, critical care settings, particularly when paired with a customisable protocol. METHODS AND ANALYSIS: This batched, stepped-wedge, cluster-randomised, type 2 hybrid effectiveness-implementation trial will test three hypotheses: (1) when compared with traditional online education (OE), IPE increases implementation of preventive postextubation respiratory support, (2) the benefits of IPE are increased when paired with a clinical protocol and (3) preventive postextubation NIV for high-risk patients and preventive postextubation HFNC for low-risk patients reduce in-hospital mortality when compared with conventional postextubation oxygen therapy. The trial will recruit 24 clusters made up of one or more ICUs that care for at least 100 mechanically ventilated patients per year in a large multihospital health system in the USA. All clusters will receive OE, IPE and a clinical protocol, with timing determined by randomisation. We will also randomise half of the clusters to education promoting postextubation NIV for patients at high risk of extubation failure and preventive, postextubation HFNC for patients at lower risk, whereas the other half will be randomised to education promoting postextubation HFNC for all eligible patients. We will include all patients who are invasively mechanically ventilated for at least 24 hours. The primary implementation endpoint is the rate of use of postextubation NIV or HFNC among eligible participants. The primary clinical endpoint is in-hospital mortality truncated at 60 days from intubation. ETHICS AND DISSEMINATION: This study was approved by the institutional review board of the University of Pittsburgh and an independent data safety monitoring board. We describe the methods herein using the Standard Protocol Items for Randomised Trials framework and discuss key design decisions. We will disseminate results to participating healthcare providers, through publication in a peer-reviewed medical journal and via presentations at international conferences. TRIAL REGISTRATION NUMBER: NCT05523479.

  PublisherOA PDFDOI

• Transactive Memory Systems and Hospital Trauma Team Performance: Shared Experience in Action Teams

  Organization Science · 2025-12-09 · 2 citations

  articleOpen access1st authorCorresponding

  We identify and test a theoretical mechanism linking shared team experience and team performance: a transactive memory system (TMS). Our empirical context is the care of patients with severe acute traumatic injury in a hospital emergency department. We coded behavioral indicators of transactive memory from video recordings of trauma resuscitations in a hospital emergency department. We obtained objective measures of team performance—patient lengths of stay in the intensive care unit and in the hospital—from hospital records, as well as information about the experience of team members. Our results of analyzing data from 121 patients reveal that patients treated by trauma teams with strong TMS experience significantly shorter lengths of stay in the intensive care unit (ICU) and in the hospital than patients treated by trauma teams with weaker TMS. The magnitude of the effects was large: Increasing TMS by one standard deviation was associated with a reduction in hospital length of stay (LOS) of 3.3 days and a reduction in ICU LOS of 1.9 days. Experience working together predicted the strength of the team’s transactive memory over and above the effect of individual experience. Further, transactive memory mediated or explained the effect of team experience on team performance. These results were robust to multiple sensitivity analyses in which we varied our definition of team experience and our modeling approach and included controls for team, task, and context characteristics. We discuss the implications of these findings for strengthening TMS in trauma resuscitation teams and for theories on transactive memory and organizational learning. Funding: This work was funded by the U.S. National Institutes of Health [Grant R35HL144804] and the Center for Organizational Learning, Innovation and Knowledge at the Tepper School of Business at Carnegie Mellon University. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2024.19022 .

  PublisherOA PDFDOI

• The Effects of Communication Networks on Shared Social Identity and Group Performance

  Small Group Research · 2025-03-24 · 2 citations

  article

  We investigate whether communication networks influence group performance by affecting a group’s shared social identity. We hypothesized that a group’s communication network would influence members’ shared social identity by affecting similarities in individuals’ connections within the group. We manipulated the density and centralization of communication networks in a laboratory experiment. Density had a more positive effect on a shared social identity and group performance when networks were lower in centralization, which led to more similar patterns of connections, than in networks higher in centralization. Further, shared social identity mediated the effect of the network on group performance.

  PublisherDOI

• Individual and Group Differences Within the Carnegie Perspective

  Academy of Management Proceedings · 2024-07-09

  article

  Based on the theoretical insights of three seminal books - Administrative Behavior (Simon, 1947), Organizations (March & Simon, 1958), and The Behavioral Theory of the Firm (Cyert & March, 1963) - the Carnegie perspective continues to have a profound influence on the study of organizations (Audia & Greve, 2021; Gavetti et al., 2012). A key feature of this theoretical perspective lies in its orientation toward process-oriented models of the firm. Key concepts and mechanisms such as bounded rationality, search, the dominant coalition, and standard operating procedures all share a concern for “how certain events and experiences set in motion processes of decision making, routine development, or routine selection that change organizational behavior” (Argote & Greve, 2007: 338). Although individuals level processes are prominent in these processes, the individuals who populate organizations are treated in abstract terms. One could argue that the implicit idea behind much of the early theory is that individual level differences do not warrant consideration given their minimal impact on the predictions. The objective of this symposium is to highlight some of the recent work done within the Carnegie perspective that couples a concern for process theorizing with a recognition of the influence of individual differences. The studies featured in this symposium build on an emerging new wave of work that has started to highlight the ways in which individual differences expand in important ways the predictive power of some of the central processes within the Carnegie perspective. Recent examples are: Gaba et al. (2023) who examine how the prior experience of managers influences their decisions in response to low performance; Audia, Rousseau, & Brion (2022) who focus on the influence of CEO power on the choice of social comparisons for the evaluation of performance; and Stumpf-Wollersheim et al. (2023) who study the effect of two emotions, sadness and fear, on routine development. Since individuals generally make organizational decisions in teams, we have included in the symposium also projects regarding how individuals prioritize diverging goals in teams and how they form beliefs that become the foundation for shared knowledge systems. To understand how organizations adapt to their environment, we need to understand how individuals make decisions, how individuals interact with each other in teams, and how individual differences contribute to an understanding of the key building blocks underlying organizational adaptation. This symposium offers a broad array of contributions illustrating diverse approaches to the study of these issues. CEO Affective Dispositions and Self-Enhancing Responses to Ambiguous Performance Feedback Author: Yuxuan Lily Zhu; Washington State U. Author: John Kim; CUHK Business School Changes in Managers’ Risk Perception in Response to Performance Feedback Author: Serhan Kotiloglu; California State U., San Marcos Author: Daniela Blettner; Beedie School of Business Simon Fraser U. Author: Thomas Lechler; Stevens Institute of Technology The Effect of Goal Conflicts on Organizational Routines: Insights from a Lab Experiment Author: Tim Kanis; Technische U. Bergakademie Freiberg Author: Jutta Stumpf-Wollersheim; Technische U. Bergakademie Freiberg Author: Markus C. Becker; U. of Southern Denmark Author: Jose Pablo Arrieta; U. of Amsterdam Communication Networks, Specialization, and Transactive Memory System Updating Author: Jerry M. Guo; Frankfurt School of Finance & Management Author: Kyosuke Tanaka; Aarhus BSS, Aarhus U.

  PublisherDOI

• Learning From and With Others

  Academy of Management Proceedings · 2024-07-09

  article1st authorCorresponding

  This symposium highlights research on vicarious organizational learning, showcasing how individuals within firms learn from others and how this might produce aggregate outcomes for organizations. We showcase micro- foundationally sound work in the field and lab that illuminate learning processes and advance the conversation on vicarious learning in organizations. Cross-level Exploration and Exploitation in Online Learning Communities Author: Richard Franciscus Johannes Haans; Erasmus U. Rotterdam Author: Emanuel Ubert; Rotterdam School of Management Organizational Routines in the Age of Algorithms:Replication and Extension of a Canonical Experiment Author: Jose Pablo Arrieta; U. of Amsterdam Author: Franziska Lauenstein; KLU Hamburg Author: Pantelis Analytis; U. of Southern Denmark Author: Markus C. Becker; U. of Southern Denmark Author: Chengwei Liu; Imperial College London Should I Stay or Should I Go: Influence Structures and Endogenous Coordination Author: Kyosuke Tanaka; Aarhus BSS, Aarhus U. Author: Dorthe Doejbak Haakonsson; Aarhus U. Author: Erik Reimer Larsen; Aarhus U. Learning from Peers Author: Thorsten Wahle; SKEMA Business School Author: Jerry M. Guo; Frankfurt School of Finance & Management Author: Ronald Klingebiel; Frankfurt School of Finance & Management

  PublisherDOI

• Group Dynamics Meets Organizational Learning: Reflections on Research

  Small Group Research · 2024-07-24 · 3 citations

  article1st authorCorresponding

  This essay was prepared in response to an invitation by Stephen Zaccaro, the President of INGRoup, and Lyn Van Swol, the Editor of Small Group Research , to recipients of the McGrath Award for Lifetime Achievement in the Study of Groups. My essay provides an overview of my research, including the human as well as the intellectual side of the endeavor. I recognize scholars who most influenced my research and those with whom I have had the pleasure of collaborating. Theoretical perspectives that shaped my thinking are acknowledged and significant milestones in my career described. The essay concludes with a discussion of suggestions that I hope will be useful to current and recent PhD students interested in groups.

  PublisherDOI

• A Text-Based Measure of Transactive Memory System Strength

  Small Group Research · 2023-07-02 · 7 citations

  articleSenior author

  We develop a method to assess the three indicators of transactive memory systems (TMS)—specialization, credibility, and coordination—through computer-aided text analysis. First, human coders assessed group transcripts for phrases representative of these indicators. From those phrases, we identified words that occurred frequently to develop a dictionary of TMS indicators. In total, we analyzed 262 groups composed of 1,091 individuals. Both the human-coded and dictionary-based assessments of TMS indicators are significantly related to a popular survey-based assessment of TMS. Our approach could be used to advance understanding of TMS by analyzing it in contexts where administering surveys is not feasible.

  PublisherDOI

Recent grants

• Learning Effects in Work Teams: Transactive Memory Systems and Team Performance

  NSF · $398k · 2008–2012

• Social Networks, Transactive Memory and Team Performance: An Experimental Investigation

  NSF · $400k · 2015–2019

Frequent coauthors

• Dennis Epple

  13 shared

• Yuqing Ren

  University of Minnesota

  10 shared

• Paul S. Goodman

  Newcastle University

  10 shared

• Elina H. Hwang

  University of Washington

  9 shared

• Ella Miron‐Spektor

  7 shared

• Ray Reagans

  7 shared

• Param Vir Singh

  Film Independent

  6 shared

• Jerry Guo

  Frankfurt School of Finance & Management

  6 shared