Analytics and Data Science - Publications - Faculty & Research - Harvard Business School

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June 2018 (Revised June 2018)
Case

Facebook Confronts a Crisis of Trust

By: William W. George and Amram Migdal

The case, “Facebook Confronts a Crisis of Trust,” starts with the crisis Facebook founder and CEO Mark Zuckerberg is facing in March 2018 over Cambridge Analytica’s accessing data from 87 million Facebook accounts in order to influence the 2016 U.S. Presidential... View Details

February 25, 2016
Article

The Hodgepodge Principle in U.S. Privacy Policy

By: John A. Deighton

Data, says Professor Lawrence Summers, is the new oil, "a hugely valuable asset essential to economic life." Personal data, the kind of data that invites thoughts of privacy, is a big part of that. The European Union saw this economic fuel source coming long ago and... View Details

Keywords: Data; Privacy; Technology; Big Data; Personal Data; Marketing; Information Technology; Analytics and Data Science

02 Apr 2015
Research & Ideas

Digital Initiative Summit: Freeing Patient Data to Enable Innovation

customer experience is so poor across the health care industry. "Employers do. So there's no real driver for quality." Hsiang (HBS MBA 2010), a health data advisor for the White House's US Digital Service View Details

Keywords: Re: Karim R. Lakhani; Health

13 Jun 2017
Blog Post

7 Reasons Why the New MS/MBA: Engineering Sciences Program at Harvard is Next Level

companies now. i.e. This is bigger than just you. Interested in learning more about the MS/MBA? Here are four things you need to know. -- Anita Mehrotra is a Class of 2018 HBS student (Section I!) and was previously a View Details

August 2017 (Revised July 2019)
Case

GROW: Using Artificial Intelligence to Screen Human Intelligence

By: Ethan Bernstein, Paul McKinnon and Paul Yarabe

Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details

Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan

July 2019
Article

Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)

By: Leslie John, Grant E. Donnelly and Christina A. Roberto

In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details

Keywords: Policy Implementation; Food; Governing Rules, Regulations, and Reforms; Policy

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June 2021
Article

Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative

By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz

We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details

Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement

2015
Working Paper

Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules

By: Pierre Azoulay, Joshua S. Graff Zivin, Danielle Li and Bhaven N. Sampat

We quantify the impact of scientific grant funding at the National Institutes of Health (NIH) on patenting by pharmaceutical and biotechnology firms. Our paper makes two contributions. First, we use newly constructed bibliometric data to develop a method for flexibly... View Details

Keywords: Economics Of Science; Patenting; Academic Reserach; NIH; Knowledge Spillovers; Patents; Research; Government and Politics

May–June 2015
Article

Big Data: Big Deal or Big Hype?

By: Sunil Gupta

Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details

Keywords: Big Data; Analytics and Data Science; Management Practices and Processes

September 2015
Case

Deflategate and the National Football League

By: Marco Iansiti and Christine Snively

On January 18, 2015, the New England Patriots faced the Indianapolis Colts in the AFC Championship game. In the second quarter, a Colts player intercepted a pass from Patriots quarterback Tom Brady. Colts equipment personnel alerted NFL officials that the ball's air... View Details

Keywords: ＂Deflategate＂; Analytics; National Football League; NFLPA; Roger Goodell; Tom Brady; Operations; United States

Web

Web of Science | Baker Library

Web of Science Complete bibliographic data plus citations and abstracts to journal articles across a wide range of scientific, technological, social sciences, arts, View Details

Article

Big Names or Big Ideas: Do Peer-Review Panels Select the Best Science Proposals?

By: Danielle Li and Leila Agha

This paper examines the success of peer-review panels in predicting the future quality of proposed research. We construct new data to track publication, citation, and patenting outcomes associated with more than 130,000 research project (R01) grants funded by the U.S.... View Details

Keywords: Patents; Research; Entrepreneurship; Forecasting and Prediction; Innovation and Invention; Business and Government Relations; United States

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26 Jul 2016
News

The Science Behind Why You Don’t Save (And What To Do About It)

March 2021
Supplement

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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... View Details

Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; 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

March 1987
Article

Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

By: J. Frankel and K. A. Froot

Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance

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27 Jun 2017
Blog Post

Why I Would Have Applied to the MS/MBA: Engineering Sciences Program

think the technical SEAS programming would have been a value add to your MBA? "I think the technical programming would have added huge value. Many of the methods in data science View Details

August 2001
Article

Technology as a Complex Adaptive System: Evidence from Patent Data

Keywords: Information Technology; System; Patents; Analytics and Data Science

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2022
Working Paper

Machine Learning Models for Prediction of Scope 3 Carbon Emissions

By: George Serafeim and Gladys Vélez Caicedo

For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details

Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting

August 2021
Article

Multiple Imputation Using Gaussian Copulas

By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky

Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details

Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation

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October 2021 (Revised June 2022)
Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details

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