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- March 2025
- Case
Niramai: An AI Solution to Save Lives
By: Rembrand Koning, Maria P. Roche and Kairavi Dey
Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details
- July 11, 2024
- Article
Research: New Hires’ Psychological Safety Erodes Quickly
By: Derrick P. Bransby, Michael J. Kerrissey and Amy C. Edmondson
Across industries, from manufacturing to health care, the luxury of waiting years to benefit from new talent is long gone. Thriving in today’s dynamic economy means bringing new hires up the learning curve faster than ever. Yet, the authors’ latest research suggests... View Details
- March 2024 (Revised March 2024)
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
- February 2024
- Article
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable”, resources and point to redeployment of... View Details
- November 2023
- Case
Copilot(s): Generative AI at Microsoft and GitHub
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
- March 2023
- Article
Developing Moral Muscle in a Literature-based Business Ethics Course
By: Inge M. Brokerhof, Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen and Omar N. Solinger
Moral subjectivity (e.g., reflexivity, perspective-taking) is a necessary condition for moral
development. However, widely used approaches to business ethics education, rooted in
conceptualizations of ethical development as objective and quantifiable, often neglect... View Details
- March 2023 (Revised March 2025)
- Case
Accelerating AI Adoption in the U.S. Air Force
By: Maria P. Roche and Alexander Farrow
In August 2022, the Pentagon tasked U.S. Air Force Captain Victor Lopez to launch a new office for AFWERX, an Air Force innovation unit that leveraged commercial developers and military talent to acquire advanced technologies. This task was particularly arduous because... View Details
- January 2023
- Article
Psychological Safety Comes of Age: Observed Themes in an Established Literature
By: Amy C. Edmondson and Derrick P. Bransby
Since its renaissance in the 1990s, psychological safety research has
flourished—a boom motivated by recognition of the challenge of navigating uncertainty and change. Today, its theoretical and practical significance
is amplified by the increasingly complex and... View Details
- Working Paper
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of... View Details
- December 2022 (Revised November 2023)
- Module Note
What Is the Game? Understanding the Environment
By: Maria P. Roche
As a strategist, one of your main tasks is to size up the external environment of your organization in its entirety. In this module, you will learn basic concepts and tools that will allow you to better understand the environment in which your organization operates. View Details
- November–December 2022
- Article
Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products... View Details
- July 2022
- Article
A Strategic View of Team Learning in Organizations
By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
- September 2019
- Teaching Note
Western Governors University: 10x Vision
By: William R. Kerr and Coelin P. Scibetta
Teaching Note for HBS No. 819-093. View Details
- 2020
- Working Paper
Team Learning and Superior Firm Performance: A Meso-Level Perspective on Dynamic Capabilities
By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
This paper proposes a team-based, meso-level perspective on dynamic capabilities. We argue that team-learning routines constitute a critical link between managerial cognition and organization-level processes of sensing, seizing, and reconfiguring. We draw from the... View Details
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
- Article
Time-Driven Activity-Based Costing: A Driver for Provider Engagement in Costing Activities and Redesign Initiatives
By: Robert S. Kaplan, Nancy McLaughlin, Michael A. Burke, Nisheeta P. Setlur, Douglas R. Niedzwiecki, Alan L. Kaplan, Christopher Saigal, Aman Mahajan and Neil A. Martin
Object. To date, health care providers have devoted significant efforts to improve performance regarding patient safety and quality of care. To address the lagging involvement of health care providers in the cost component of the value equation, UCLA Health... View Details
- April 2011
- Article
Why Leaders Don't Learn from Success
By: Francesca Gino and Gary P. Pisano
We argue that for a variety of psychological reasons, it is often much harder for leaders and organizations to learn from success than to learn from failure. Success creates three kinds of traps that often impede deep learning. The first is attribution error or the... View Details
- March 2011 (Revised September 2011)
- Background Note
Everyone and Everything is Online
By: Stephen P. Bradley and Nancy Bartlett
The twenty-first century digital world enabled mobile, empowered, content-hungry individuals to capture the value of enabling technologies and applications to manage, create, share, and influence content across the creation and delivery spectrum. Users were online in... View Details