Publications

April 2024 (Revised July 2024)
Case

Unleashing Human Magic at Best Buy

By: Leonard A. Schlesinger, Sunil Gupta and Amram Migdal

The case examines the transformation of Best Buy under CEO Hubert Joly's leadership from 2012. Facing significant business challenges, including competition from online and physical retailers, Joly implemented the "Renew Blue" turnaround strategy, which focused on... View Details

2024
Working Paper

Social Movements and Public Opinion in the United States

By: Amory Gethin and Vincent Pons

Recent social movements stand out by their spontaneous nature and lack of stable leadership, raising doubts on their ability to generate political change. This article provides systematic evidence on the effects of protests on public opinion and political attitudes.... View Details

Keywords: Attitudes; Social Issues; Voting; Public Opinion; Social Media

Find at Harvard

March 2024
Case

ixigo

By: Ranjay Gulati and Rachna Tahilyani

Ixigo is India’s second-largest online travel aggregator (OTA) and the market leader among private train OTAs. It has overcome numerous near-death crises to emerge as a customer-centric, profitable firm. It aspires to become the leading OTA in the next billion Internet... View Details

Keywords: Initial Public Offering; Profit; Growth and Development; Product Positioning; Travel Industry; India

March 2024
Teaching Note

Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions

By: John A. Deighton and Leora Kornfeld

Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details

Keywords: Digital Platforms; Disruptive Innovation; Competition; Market Participation; Accommodations 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

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

2023
Working Paper

Design-Based Inference for Multi-arm Bandits

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

Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details

Keywords: Analytics and Data Science; Mathematical Methods

2021
Working Paper

Quantifying the Value of Iterative Experimentation

By: Iavor I Bojinov and Jialiang Mao

Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was... View Details

Keywords: Product Development; Value Creation; Research

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

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
Case

FIGS: Scrubbing the Status Quo

By: Jeffrey F. Rayport and Nicole Tempest Keller

In October 2023, FIGS had revolutionized the medical scrubs industry with its fashionable and functional designs, but the venture was at a critical juncture. The digitally native vertical brand (DNVB) had gone public in a successful IPO in 2021 and reached $500 million... View Details

Keywords: Marketing Channels; Corporate Strategy; Business Growth and Maturation; Business Model; Decision Choices and Conditions; Competitive Strategy; Expansion; Apparel and Accessories Industry; Fashion Industry; United States; California; Los Angeles; Europe; Canada

2025
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

January 2024 (Revised February 2024)
Exercise

Travelogo: Understanding Customer Journeys

By: Eva Ascarza, Nicolas Padilla and Oded Netzer

In late May 2023, Sarah Merino, the newly appointed manager of the Customer Insights group at Travelogo—an online travel booking platform—initiates a comprehensive analysis of clickstream data to understand the varied behaviors and needs of their users. In preparation... View Details

Keywords: Customer Relationship Management; Analysis; Analytics and Data Science; Marketing Strategy; Segmentation; Consumer Behavior; Travel Industry; United States