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November–December 2024
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

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June 2024 (Revised August 2024)
Case

Revlon India's Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard

By: Tatiana Sandino and Samuel Grad

Revlon India was founded as a joint venture in 1995, pairing the industrial conglomerate UMG with the global beauty brand Revlon, Inc. to bring international color cosmetics to India. After growing rapidly and pioneering the Beauty Advisor (BA) model in India, the... View Details

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

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

2024
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira

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). These outliers often originate from covariate shift,... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

2023
Working Paper

The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks

By: Isamar Troncoso, Minkyung Kim, Ishita Chakraborty and SooHyun Kim

The US has seen a rise in union movements, but their effects on service industry marketing outcomes like customer satisfaction and perceptions of service quality remain understudied. In this paper, we empirically study the impact on customer satisfaction and... View Details

Keywords: Labor Unions; Customer Satisfaction; Perception; Public Opinion; Employees; Food and Beverage Industry

October 2023 (Revised January 2024)
Case

SEK: Reimagining Spanish Higher Education at Universidad Camilo José Cela (UCJC)

By: John J-H Kim, Mary C. Sauer and Emilie Billaud

In 2023, Nieves Segovia, President of the SEK Education Group in Spain, contemplates the future of her family's for-profit education company, which includes K-12 schools and the newly established UCJC university. Renowned for its innovation in education, SEK faces... View Details

Keywords: Family Business; Curriculum and Courses; Higher Education; Teaching; Digital Strategy; Disruptive Innovation; Knowledge Dissemination; Leading Change; Growth and Development Strategy; Management Succession; Resource Allocation; Organizational Structure; Education Industry; Europe; Spain

2023
Working Paper

The Customer Journey as a Source of Information

By: Nicolas Padilla, Eva Ascarza and Oded Netzer

In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details

Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships

September 2023 (Revised June 2024)
Case

Kaspi.kz: Building Trust through Innovation

By: Sandra J. Sucher, Fares Khrais and Marilyn Morgan Westner

This case is written to help students explore how companies can maintain and develop trust while innovating, how to identify and respond effectively to warning signs that they may not be as trusted as they believe, and how being trusted can aid in expanding and growing... View Details

Keywords: Growth and Development Strategy; Organizational Culture; Trust; Technology Adoption; Innovation and Invention; Banking Industry

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

Keywords: Technology Adoption; Knowledge Sharing

June 2023 (Revised July 2023)
Case

Social Media Background Screening at Fama Technologies

By: Joseph Pacelli, Jillian Grennan and Alexis Lefort

Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details

Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States

2022
Article

A Human-Centric Take on Model Monitoring

By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi

Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details

Keywords: AI and Machine Learning; Research and Development; Demand and Consumers

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

Keywords: Sales; AI and Machine Learning; Customers

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September 2022 (Revised November 2022)
Teaching Note

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

Teaching Note for HBS Case No. 522-046. View Details

July 2022
Teaching Note

Arçelik (A), (B): From a Dealer Network to an Omnichannel Experience

By: Ayelet Israeli, Fares Khrais and Menna Hassan

Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in... View Details

May 2022
Case

Deborah Quazzo at GSV Ventures

By: William A. Sahlman, Michael D. Smith and Nicole Tempest Keller

As COVID-19 swept across the globe in 2020, the education sector faced unprecedented disruption. Schools and colleges worldwide shut down, forcing over a billion students and teachers to move to online learning. Investor interest in the EdTech space exploded as... View Details

Keywords: Edtech; Technology; Online Learning; COVID-19 Pandemic; Education; Information Technology; Venture Capital; Change Management; Strategy; Education Industry; Financial Services Industry; Chicago; California

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

March 2022
Article

Learning to Rank an Assortment of Products

By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar

We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details

Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce

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2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

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

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