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April 2024
Article

Speaking up and Taking Action: Psychological Safety and Joint Problem-solving Orientation in Safety Improvement

By: Hassina Bahadurzada, Michaela J. Kerrissey and Amy C. Edmondson

Healthcare organizations face stubborn challenges in ensuring patient safety and mitigating clinician turnover. This paper aims to advance theory and research on patient safety by elucidating how the role of psychological safety in patient safety can be enhanced with... View Details

Keywords: Healthcare Operations; Psychological Safety; Teams; Retention; Safety; Customer Satisfaction; Organizational Culture; Performance Evaluation; Health Industry

March 2024 (Revised April 2024)
Case

Coursera's Foray into GenAI

By: Suraj Srinivasan, Michael Parzen and Radhika Kak

In early 2023, Maggioncalda, CEO of US EdTech firm Coursera, launched Project Genesis to develop a strategy for incorporating GenAI capabilities into the firm's offerings, asking his teams to focus on value to the firm and cost of implementation. The team identified... View Details

Keywords: Business Model; AI and Machine Learning; Brands and Branding; Business Strategy; Competitive Advantage; Technological Innovation; Education Industry; Technology Industry; United States

March 2024 (Revised May 2024)
Case

Amperity: First-Party Data at a Crossroads

By: Elie Ofek, Hema Yoganarasimhan and Alexis Lefort

In the summer of 2023, Amperity management was facing a critical decision on its future direction. Given the dramatic changes occurring within the digital advertising ecosystem, as concerns over consumer privacy placed limits on the ability to engage in third-party... View Details

Keywords: AI and Machine Learning; Technology Adoption; Business Strategy; Digital Marketing; Price; Product; Business or Company Management; Advertising Industry

March 2024
Case

From 'BIG' Ideas to Sustainable Impact at ICL Group (A)

By: Linda A. Hill and Lydia Begag

In the summer of 2023, Eduard (“Eddie”) Croitoru, Vice President (VP) of ICL Group (“ICL”) Corporate Initiatives, was reflecting on ICL’s internal ideation program, the Business Innovation for Growth (BIG) Accelerator. When Raviv Zoller became the CEO of ICL in 2018,... View Details

March 2024 (Revised April 2024)
Supplement

From 'BIG' Ideas to Sustainable Impact at ICL Group (B)

By: Linda A. Hill and Lydia Begag

In August 2023, Raviv Zoller, CEO of ICL Group, discussed his upcoming business trip to St. Louis with Eduard Croitoru, VP of ICL Corporate Initiatives, to commemorate the construction of ICL's new $400 million advanced manufacturing facility. In preparation for the... View Details

March 2024
Simulation

'Storrowed'

By: Mitchell Weiss

The game was built to accompany "Storrowed": A Generative AI Exercise, available through Harvard Business Publishing. The game adds a timing element to "Storrowed" and enables the teacher to reward teams for strong prompts or penalize teams for believing AI... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Risk and Uncertainty

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

March 2024
Teaching Note

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss

Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive.... View Details

Keywords: AI and Machine Learning; Entrepreneurship; Innovation and Invention; Government Administration; Transportation Industry; Public Administration Industry

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

Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

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

March 2024 (Revised June 2024)
Case

Governing OpenAI (A)

By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz

In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details

March 2024 (Revised August 2024)
Case

Darktrace: Scaling Cybersecurity and AI (A)

By: Jeffrey F. Rayport and Alexis Lefort

In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details

Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States

2024
Book

Deals: The Economic Structure of Business Transactions

By: Guhan Subramanian and Michael Klausner

Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.

Business transactions take widely varying forms—from multibillion-dollar... View Details

Keywords: Negotiation; Contracts

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March 2024
Article

How Foes Become Allies: The Shifting Role of Business in Climate Politics

By: Irja Vormedal and Jonas Meckling

Firms often oppose costly public policy reforms—but under what conditions may they come to support such reforms? Previous scholarship has taken a predominantly static approach to the analysis of business positions. Here, we advance a dynamic theory of change in... View Details

Keywords: Policy; Environmental Regulation; Business and Government Relations

February 2024
Background Note

Frederick Herzberg on Motivating Employees

By: Willy C. Shih

This background note summarizes Frederick Herzberg's development of his motivation-hygiene theory, his theory regarding job enrichment, and how the theory has evolved. This is at the core of extrinsic versus intrinsic motivation. View Details

Keywords: Motivation and Incentives; Theory; Service Industry; Manufacturing Industry; United States

February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

February 2024 (Revised July 2024)
Case

Taffi: Entrepreneurship in Saudi Arabia

By: Paul A. Gompers and Fares Khrais

Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details

Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Fashion Industry; Technology Industry; Saudi Arabia; Arabian Peninsula

February 2024
Teaching Note

Data-Driven Denim: Financial Forecasting at Levi Strauss

Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details

Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States

February 6, 2024
Article

Find the AI Approach That Fits the Problem You’re Trying to Solve

By: George Westerman, Sam Ransbotham and Chiara Farronato

AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details

Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science

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