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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 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
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 (Revised April 2025)
Case

Blue Frontier: Disrupting Air Conditioning

By: Rosabeth Moss Kanter and Jacob A. Small

Serial entrepreneur Daniel Betts founded Blue Frontier in South Florida to offer a climate-friendly solution to increase air conditioning efficiency and dehumidify using new technology he developed. Backed by significant venture capital, Blue Frontier had to choose... View Details

Keywords: Entrepreneurship; Climate Change; Environmental Sustainability; Technological Innovation; Market Entry and Exit; Performance Efficiency; Business Strategy; Florida

December 2024
Case

Yum China: People First

By: David E. Bell, Shu Lin and Nancy Dai

Joey Wat, CEO of Yum China Holdings, Inc., which operated KFC, Pizza Hut, and Taco Bell in mainland China, oversaw KFC’s milestone as the first Western quick-service chain in China to surpass 10,000 stores, with Pizza Hut exceeding 3,000 locations. This expansion was... View Details

Keywords: Growth and Development Strategy; Franchise Ownership; Performance Efficiency; Expansion; Employees; Food and Beverage Industry; Agriculture and Agribusiness Industry; China

December 2024
Article

Public Attitudes on Performance for Algorithmic and Human Decision-Makers

By: Kirk Bansak and Elisabeth Paulson

This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details

Keywords: Public Opinion; Prejudice and Bias; Decision Making

2024
Working Paper

Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency

By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu

This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups... View Details

Keywords: Product Development; Innovation and Invention; Business Startups; Research and Development; Performance Efficiency; Pharmaceutical Industry

2024
Working Paper

The Cram Method for Efficient Simultaneous Learning and Evaluation

By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li

We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details

Keywords: AI and Machine Learning

2024
Working Paper

Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov

Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2023
Article

Balancing Risk and Reward: An Automated Phased Release Strategy

By: Yufan Li, Jialiang Mao and Iavor Bojinov

Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details

Keywords: Product Launch; Mathematical Methods; Product Development

2023
Working Paper

In-Context Unlearning: Language Models as Few Shot Unlearners

By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju

Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details

Keywords: AI and Machine Learning; Copyright; Information

2023
Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details

Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement

August 2023 (Revised January 2024)
Supplement

Arla Foods: Data-Driven Decarbonization (A)

By: Michael Parzen, Michael W. Toffel, Amram Migdal and Susan Pinckney

Arla implemented a data-based price incentive system to measure, track, and influence climate friendly changes to reduce CO2 emissions across the world’s fourth largest dairy cooperative. View Details

Keywords: Dairy Industry; Business Earnings; Earnings Management; Environmental Accounting; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium

August 2023 (Revised March 2024)
Case

Arla Foods: Data-Driven Decarbonization (A)

By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal

The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details

August 2023 (Revised January 2024)
Supplement

Arla Foods: Data-Driven Decarbonization (B)

By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal

The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details

August 2023
Supplement

Reimagining Hindustan Unilever (B)

By: Sunil Gupta and Rachna Tahilyani

In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details

Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Organizational Change and Adaptation; Business Strategy; Marketing; Performance; Competition; E-commerce; Consumer Behavior; Transformation; Distribution; Decisions; Consumer Products Industry; Asia; India

March 2023
Background Note

A Primer on OKRs

By: Suraj Srinivasan and Li-Kuan (Jason) Ni

The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details

Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency

2022
Article

Becoming a Learning Organization While Enhancing Performance: The Case of LEGO

By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson

Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with leaders as learning facilitators in an action learning approach, can be transferred from a production context to a knowledge work context for the purpose... View Details

Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation

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