Publications

September 2023 (Revised January 2024)
Case

AB InBev: Brewing Up Forecasts during COVID-19

By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud

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 workforce of 160,000 in 2020, AB InBev... View Details

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

19 Jun 2009
Research Event

Business Summit: The Evolution of Agribusiness

future challenges based on their unique vantage points. Through the study of agribusiness at Harvard Business School, the notion of the value-added food chain was born. Both the study View Details

Keywords: Re: David E. Bell & Ray A. Goldberg; Agriculture & Agribusiness

May 2009 (Revised October 2009)
Case

Verne Global: Building a Green Data Center in Iceland

Verne Global, a pioneering startup created to build the first large-scale data center in Iceland, faces critical challenges regarding its green strategy. Verne Co-Founder Isaac Kato is tasked with evaluating how the company can most successfully market and sell the... View Details

Keywords: Buildings and Facilities; Business Startups; Marketing Strategy; Product Marketing; Sales; Environmental Sustainability; Pollutants; Green Technology Industry; Green Technology Industry; Iceland

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

16 Aug 2017
Research & Ideas

Researchers Use Google Street View to See the Future of Cities

evaluate the appearance of the hundreds of thousands of images, the authors used data from a crowdsourced study conducted by Hidalgo’s team in 2013. In the study, online participants were shown pairs of Street View images (chosen from a... View Details

Keywords: by Michael Blanding; Real Estate

21 Jul 2003
Research & Ideas

Don’t Get Buried in Customer Data—Use It

technology at all but with the way you are collecting and using your data, experts say. Although getting your CRM program in order is an essential component of achieving customer loyalty, there's much more... View Details

Keywords: by Jean Ayers

13 Nov 2007
Research & Ideas

Six Steps for Reinvigorating America

the discouraging trends she sees are political and religious attacks that stifle science and innovation; growing unease and pressure in the... View Details

Keywords: by Sean Silverthorne

Forthcoming
Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami

We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details

Keywords: Mathematical Methods; Analytics and Data Science

20 Nov 2014
News

Finalists Announced in Harvard Business School-Harvard Medical School Health Acceleration Challenge

2017
Working Paper

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details

Keywords: Economy; Analytics and Data Science; Local Range; Social and Collaborative Networks

SSRN

2022
Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details

Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods

July 16, 2015
Article

How Small Businesses Can Fend Off Hackers

By: Lou Shipley

If you wanted to hack a business, which one would you pick: A Fortune 500 company with a large digital-security budget and a team dedicated to protecting its cyberassets? Or a small enterprise that doesn’t employ a single IT security specialist? Security breaches at... View Details

Keywords: Hack; Data Security; Small Business; Analytics and Data Science; Safety; Information Technology; Cybersecurity

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08 Nov 2024
Op-Ed

How Private Investors Can Help Solve Africa's Climate Crisis

African people, businesses, and nations are becoming increasingly stressed by climate-related perils like droughts, river flooding, extreme heat, and rising sea levels. This is leading not only to the... View Details

Keywords: by John Macomber; Green Technology; Green Technology

August 2004 (Revised September 2005)
Case

Canyon Ranch

By: Lynda M. Applegate and Gabriele Piccoli

How should Canyon Ranch leverage its uniqueness in the face of increasing competition and an entrenched customer definition of the firm? The firm is attempting to create demand for return visits and foster the customization and personalization of the Canyon Ranch... View Details

Keywords: Customer Relationship Management; Information Technology; Growth and Development Strategy; Competitive Strategy; Experience and Expertise; Analytics and Data Science; Customization and Personalization

Keywords: Francis Storrs; Management, Scientific, and Technical Consulting Services; Management, Scientific, and Technical Consulting Services; Management, Scientific, and Technical Consulting Services; Management, Scientific, and Technical Consulting Services; Management, Scientific, and Technical Consulting Services; Management, Scientific, and Technical Consulting Services

22 Oct 2013
News

Pulling the Plug

Eric Giler by Francis Storrs Standing on the stage of TEDGlobal in Oxford, England, WiTricity CEO Eric Giler (MBA 1982) is nervous. It's July 2009, and he's about to show how his company's technology can... View Details

April 2011 (Revised January 2019)
Case

Talismark

By: Richard S. Ruback and Royce Yudkoff

Talismark, which helped its customers manage their waste, was considering re-engineering its business fundamentals to dramatically increase profitability by changing its sales and information processes. Implementing the changes would be expensive and would interrupt... View Details

Keywords: Restructuring; Business Processes; Information Management; Sales; Organizational Change and Adaptation; Wastes and Waste Processing

September 2015 (Revised February 2023)
Case

Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers

By: Regina E. Herzlinger, Jeet Guram and Aanchal Raj

Case describes acquisition of Change Healthcare, which provides health care cost and quality information, by Emdeon, a health information exchange, and discusses health care transparency. Emdeon is a billion-dollar company that has grown through acquisitions; at its... View Details

Keywords: Healthcare; Healthcare Industry; Healthcare Innovation; Health Care and Treatment; Acquisition; Integration; Analytics and Data Science; Mergers and Acquisitions; Competitive Strategy; Health Industry; United States

March 2020
Article

Diagnosing Missing Always at Random in Multivariate Data

By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin

Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details

Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods

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