Publications

August 2018 (Revised April 2019)
Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details

Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis

October 2023 (Revised June 2024)
Case

ReUp Education: Can AI Help Learners Return to College?

By: Kris Ferreira, Christopher Thomas Ryan and Sarah Mehta

Founded in 2015, ReUp Education helps “stopped out students”—learners who have stopped making progress towards graduation—achieve their college completion goals. The company relies on a team of success coaches to engage with learners and help them reenroll. In 2019,... View Details

Keywords: AI; Algorithms; Machine Learning; Edtech; Education Technology; Analysis; Higher Education; AI and Machine Learning; Customization and Personalization; Failure; Education Industry; Technology Industry; United States

November 2023 (Revised April 2024)
Case

Khanmigo: Revolutionizing Learning with GenAI

By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean

Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details

Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco

December 2020
Case

VIA Science (A)

By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman

Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details

Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan

July 2019 (Revised November 2019)
Case

Osaro: Picking the Best Path

By: William R. Kerr, James Palano and Bastiane Huang

The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details

January 2018 (Revised February 2023)
Teaching Note

The Future of Patent Examination at the USPTO

By: Prithwiraj Choudhury

This teaching note pairs with the case entitled: “The Future of Patent Examination at the USPTO” (case no. 617-027). View Details

Keywords: Machine Learning; Telework; Collaborating With Unions; Recruitment; Intellectual Property; Copyright; Patents; Trademarks; Knowledge Sharing; Technology Adoption; District of Columbia

2024
Working Paper

Advancing Personalization: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer

Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details

Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning

SSRN

19 Nov 2014
News

Panel Highlights Philanthropy Models Across Nations

2023
Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov

Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details

Keywords: Analytics and Data Science

SSRN

February 2018
Article

Retention Futility: Targeting High-Risk Customers Might Be Ineffective.

By: Eva Ascarza

Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details

Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management

Find at Harvard

March 2015
Case

Pearson Affordable Learning Fund

By: Michael Chu, Vincent Dessain and Kristina Maslauskaite

An in-house venture capital fund for affordable private schools at the base of the pyramid established by Pearson, the world's largest education company, PALF sought to invest in business models providing superior educational outcomes in emerging markets on a... View Details

Keywords: Impact Investment; Low Cost Private Schools; Investment Fund; Business At The Base Of The Pyramid; Transition; Investment; Development Economics; Business Growth and Maturation; Social Entrepreneurship; Emerging Markets; Private Sector; Education; Education Industry; Asia; Africa

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

TeachingInterests

MBA Elective Curriculum-- Competing Through Business Models

By: Ramon Casadesus-Masanell

The words “business model” are inescapable in our daily fare of business news. These two ubiquitous words seemed to effortlessly rise up to prominence during the dot-com boom of the late 1990s. When businesspeople, journalists, academics, and other... 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

Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry

September 2020 (Revised March 2022)
Case

JOANN: Joannalytics Inventory Allocation Tool

By: Kris Ferreira and Srikanth Jagabathula

Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details

Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio

2021
Working Paper

Invisible Primes: Fintech Lending with Alternative Data

By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael

We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details

Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit

01 Dec 2007
News

Learning to Lead

learn that Keller forgoes the football game for the Sunday meeting — and that his presence is indispensable in deciphering the implications of the model he’s helped create. The moment marks a shift in how... View Details

Keywords: Julia Hanna; Management

November 2009 (Revised October 2010)
Case

AME Learning Inc.

By: Thomas R. Eisenmann and Ann Leamon

Justin Joffe is about to graduate from HBS in Spring 2009. He must decide whether to join his father's company, Toronto-based AME Learning, as president working alongside his father who will be CEO. AME has been in business for 12 years, mostly as a small consulting... View Details

Keywords: Business Model; Family Business; Age; Private Equity; Financing and Loans; Growth and Development Strategy; Family and Family Relationships