Publications

October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih

This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details

Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

06 Feb 2012
Research & Ideas

Kodak: A Parable of American Competitiveness

development. This concentration of expertise can be found in places like Silicon Valley, where clusters of experts and firms feed growth and spur innovation. Much of the damage to American competitiveness in... View Details

Keywords: by Dina Gerdeman; Manufacturing

12 Oct 2017
Blog Post

Why I Spent this Summer Coding

Zuckerberg, Google's Sundar Pichai, Cloudflare's Matthew Prince). That’s not to say that non-technical business leaders will be less successful, but there’s a compelling argument that coding is becoming the new business literacy. View Details

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

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20 Sep 2021
Research & Ideas

How Much Is Freedom Worth? For Gig Workers, a Lot.

drivers would likely quit dashing; the researchers estimate that a strict assignment to the most frequently worked delivery shifts would result in more than 30 percent of drivers leaving DoorDash entirely. Understanding dashers and their... View Details

Keywords: by Lane Lambert; Technology

13 Jan 2003
Research & Ideas

Making Biotech Work as a Business

technologies for drug discovery.) And patients with previously unmet medical needs can now get treatments that were not available before. That should be inspiring, he reminded the audience. Economic... View Details

Keywords: by Martha Lagace; Technology; Technology; Technology

15 Oct 2012
Research & Ideas

Why Business IT Innovation is so Difficult

Harvard Business School professor Kristina Steffenson McElheran studies the effect of information technology on business process innovation. It's a topic, she is sometimes told, that is, well, less than... View Details

Keywords: by Maggie Starvish

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States

October 2016 (Revised November 2018)
Case

Indigo Agriculture

By: Marco Iansiti, Michael W. Toffel and Christine Snively

Indigo Agriculture had successfully developed and launched its first commercial product, microbe-enhanced cotton seeds, on an accelerated product development timeline. In late 2016, as the company was about to launch its second product, winter wheat, the management... View Details

Keywords: Product Development; Agribusiness; Science-Based Business; Operations; Management; Agriculture and Agribusiness Industry; Technology Industry

February 2024
Teaching Note

AB InBev: Brewing Up Forecasts during COVID-19

By: Mark Egan and C. Fritz Foley

Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details

Keywords: Forecasting; Investor Relations; Beverage Industry; Corporate Finance; Decisions; Forecasting and Prediction; Health Pandemics; Analytics and Data Science; Digital Transformation; Crisis Management; Business Model; Food and Beverage Industry; United States; Europe

May 2020
Article

Scalable Holistic Linear Regression

By: Dimitris Bertsimas and Michael Lingzhi Li

We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details

Keywords: Mathematical Methods; Analytics and Data Science

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January 2025
Supplement

Hippo: Weathering the Storm of the Home Insurance Crisis (B)

By: Lauren Cohen, Grace Headinger and Sophia Pan

Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details

22 Apr 2020
Research Event

How Investors Are Sizing Up Climate Change’s Risks—and Opportunities

Until a few years ago, climate change’s potential impact seemed abstract for many investors. Now, as sea levels rise, hurricanes intensify, and droughts threaten food supplies, many investors are confronting its financial realities. But it’s not a simple calculation.... View Details

Keywords: by Danielle Kost; Financial Services

April 2021 (Revised July 2021)
Case

StockX: The Stock Market of Things (Abridged)

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley

Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details

January 2021 (Revised March 2021)
Supplement

E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

By: Ayelet Israeli and Fedor (Ted) Lisitsyn

The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details

November 2016 (Revised April 2017)
Case

Basecamp: Pricing

By: Frank Cespedes and Robb Fitzsimmons

A data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture’s latest version of its project management software product. View Details

Keywords: Pricing; Entrepreneurial Management; Data Analysis; Marketing; Customer Acquisition; Customer Retention; Value Proposition; Sales Management; Product Management; Market Research; Life Time Value; Testing; Entrepreneurship; Analytics and Data Science; Customers; Value; Sales; Product Marketing; United States