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2025
Working Paper

Productivity Beliefs and Efficiency in Science

By: Fabio Bertolotti, Kyle R. Myers and Wei Yang Tham

We develop a method to estimate producers’ productivity beliefs in settings where output quantities and input prices are unobservable, and we use it to evaluate allocative efficiency in the market for science. Our model of researchers’ labor supply shows that their... View Details

Keywords: Performance Productivity; Perception; Research

June 2025
Article

Riding the Passion Wave or Fighting to Stay Afloat? A Theory of Differentiated Passion Contagion

By: Emma Frank, Kai Krautter, Wen Wu and Jon M. Jachimowicz

Prior research suggests that employees benefit from highly passionate teammates because passion spreads easily from one employee to the next. We develop theory to propose that life in high-passion teams may not be as uniformly advantageous as previously assumed. We... View Details

Keywords: Passion; Emotional Contagion; Emotions; Groups and Teams; Employees; Power and Influence; Performance Improvement

2025
Working Paper

Management and Firm Dynamism

By: Nicholas Bloom, Jonathan S. Hartley, Raffaella Sadun, Rachel Schuh and John Van Reenen

We show better-managed firms are more dynamic in plant acquisitions, disposals, openings and closings in U.S. Census and international data. Better-managed firms also birth better-managed plants, and improve the performance of the plants they acquire. To explain these... View Details

Keywords: Management Practices; Productivity; Management Practices and Processes; Mergers and Acquisitions; Competition; Business or Company Management; Performance Productivity

April 2025
Case

Joe Mazzulla and the Boston Celtics (A)

By: Linda A. Hill, James I. Cash and Lydia Begag

Joe Mazzulla's leadership journey with the Boston Celtics began in 2016 when he served as an assistant coach for their NBA G-League affiliate. In 2019, he was promoted to a "behind-the-bench" assistant coaching role with the Celtics, before being asked to become the... View Details

April 2025
Supplement

Joe Mazzulla and the Boston Celtics (B)

By: Linda A. Hill, James I. Cash and Lydia Begag

This case is a supplement to “Joe Mazzulla and the Boston Celtics” (A) and is set against the backdrop of the 2024 NBA Finals. It describes the impact of Mazzulla’s decision to rally his team with an aggressive “go for the kill” mindset instead of choosing language... View Details

March–April 2025
Article

Strategy in an Era of Abundant Expertise: How to Thrive When AI Makes Knowledge and Know-How Cheaper and Easier to Access

By: Bobby Yerramilli-Rao, John Corwin, Yang Li and Karim R. Lakhani

The AI era is in its early stages, and the technology is evolving extremely quickly. Providers are rapidly introducing AI "copilots," "bots," and "assistants" into applications to augment employees' workflows. Examples include GitHub Copilot for coding, ServiceNow... View Details

Keywords: AI; AI and Machine Learning; Performance Productivity; Experience and Expertise; Technology Adoption

April 2025 (Revised April 2025)
Case

JPMorganChase: Leadership in the Age of GenAI

By: Iavor I. Bojinov, Karim R. Lakhani and David Lane

This case study examines JPMorgan Chase's (JPMC) journey in adopting and implementing Generative AI (GenAI) following the release of ChatGPT. It outlines JPMC's initial cautious approach focused on data security, followed by strategic investments in internal platforms... View Details

2025
Working Paper

Training Within Firms

By: Brayan Diaz, Andrea Neyra-Nazarrett, Julian Ramirez, Raffaella Sadun and Jorge Tamayo

Training investments are essential for improving worker and firm productivity, yet their implementation is often hindered by low participation rates and insufficient worker engagement. This study uses data from three firms–a car manufacturer, a quick-service... View Details

Keywords: Productivity; Absenteeism; Middle Managers; Training; Management Practices and Processes; Performance Productivity; Employees

2025
Working Paper

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani

We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details

Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development

March 2025
Case

Taylor Guitars: Making Employee Ownership Work the Taylor Way

By: Dennis Campbell, Petros Kusmu and Stacy Straaberg

In 2013, guitar manufacturer Taylor Guitars’ co-founders Bob Taylor and Kurt Listug were considering several exit options including selling to a competitor or to a private equity firm. The co-founders decided, instead, to embark on a seven-year process to transfer 100%... View Details

March 2025 (Revised April 2025)
Case

Dominion Voting Systems v. Fox News

By: Vincent Pons, Jesse M. Shapiro, Bharat Anand and Susan Pinckney

The case examines the Dominion Voting Systems and Fox News defamation settlement based upon statements made on air in the aftermath of the 2020 presidential election. View Details

March 7, 2025
Article

Leaders Can Move Fast and Fix Things

By: Frances X. Frei and Anne Morriss

The assumption embedded in Silicon Valley’s famous “move fast and break things” ethos is that we can either make progress or take care of people, one or the other. A certain amount of wreckage is the price we have to pay for creating the future. The authors have spent... View Details

Keywords: Strategy; Leading Change; Performance Efficiency

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February 2025
Supplement

Intenseye: Powering Workplace Health and Safety with AI (B)

By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri

Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details

February 2025
Case

Luca de Meo at Renault Group (A)

By: Emily Truelove, Linda A. Hill and Lydia Begag

When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details

February 2025
Case

Luca de Meo at Renault Group (A) (Abridged)

By: Emily Truelove, Linda A. Hill and Lydia Begag

When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details

January 2025
Teaching Plan

Knowledge Transfer: Toyota, NUMMI, and GM

Teaching Plan for HBS Case No. 625-003. New United Motors Manufacturing, Inc. (NUMMI) was a joint venture between Toyota and General Motors. It was an opportunity for GM to learn about the Toyota Production System, which was quite different from the mass production... View Details

Keywords: Culture Change; Organizational Culture; Organizational Change and Adaptation; Factories, Labs, and Plants; Joint Ventures; Transformation; Selection and Staffing; Knowledge Acquisition; Knowledge Sharing; Labor Unions; Management Systems; Performance Improvement; Production; Labor and Management Relations; Auto Industry; Japan; United States

January 2025 (Revised March 2025)
Case

Thomas Müller: Mr. Bayern Munich

By: Boris Groysberg, Sascha L. Schmidt, Alexander Liebhart and Sarah Abbott

In 2024, FC Bayern Munich superstar Thomas Müller announced his retirement from German national football. His contract with Bayern Munich runs through the end of the 2024-25 season. In 2025, Müller reflects on his long career in football, on the skills that have driven... View Details

Keywords: Soccer; Football; Data Science And Analytics Management; Bundesliga; Sports Data; ＂Sports Organizations,; Career Changes And Transitions; Career Management; Retirement Transition; Skills Development; Analysis; Competency and Skills; Decision Making; Performance; Personal Development and Career; Retirement; Transition; Sports Industry; Germany

January 2025 (Revised February 2025)
Technical Note

Skills-First Talent Management Onboarding, Development, and Performance Management

By: Boris Groysberg, James Barnett, Robin Abrahams and Katherine Connolly Baden

The second in a series of notes on how organizations manage skills-first talent-management chains, covering onboarding, development, and performance management. Onboarding included the practices, programs, and policies used by an organization to facilitate new employee... View Details

Keywords: Talent and Talent Management; Employee Relationship Management; Management Systems; Performance; Personal Development and Career

2025
Working Paper

Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna

This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details

Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India

January 2025
Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart

This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details

Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance

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