Publications

Web

Curriculum - MBA

curriculum, students build a solid, broad foundation of general management concepts and skills across all the key disciplines. Required Curriculum Data Science for Manager (DSM) Finance 1 (FIN1) Financial Reporting and Control (FRC)... View Details

May 2018 (Revised February 2019)
Case

The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft

By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb

As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the... View Details

Keywords: Internet and the Web; Business Ventures; Customers; Analytics and Data Science; Safety; Corporate Strategy; Competitive Strategy; Technology Industry

Educators

Web

Required Curriculum - MBA

will gain An understanding of foundational data science concepts and techniques that can inform business insights and decisions. Exposure to R statistical programming language to manipulate, analyze, and visualize data. Knowledge of how... View Details

2023
Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details

Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science

2013
Working Paper

Span of Control and Span of Attention

By: Oriana Bandiera, Andrea Prat, Raffaella Sadun and Julie Wulf

Using novel data on CEO time use, we document the relationship between the size and composition of the executive team and the attention of the CEO. We combine information about CEO span of control for a sample of 65 companies with detailed data on how CEOs allocate... View Details

Keywords: Conferences; Analytics and Data Science; Leadership Style; Management Style; Managerial Roles; Time Management; Planning

SSRN

2021
Working Paper

Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors

By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski

Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have... View Details

Keywords: Impact Investing; Impact Portfolio Companies; Investment; Social Issues; Environmental Sustainability; Investment Portfolio; Business Ventures; Analytics and Data Science; Performance; United States

Program

Driving Corporate Performance

are using powerful performance measurement and management control systems to confront some of today's biggest challenges and opportunities, such as improving employee motivation, using AI and data analytics... View Details

Jill J. Avery

Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details

Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels ＆ motels; food; beverage

May 2005
Exercise

Forecasting the Adoption of E-books

By: Elie Ofek

Gives students an opportunity to understand the challenges inherent in forecasting the diffusions of innovations. Provides data for forecasting the adoption of electronic books. Students are encouraged to use the Bass Model framework, while being cognizant of its... View Details

Keywords: Forecasting and Prediction; Framework; Books; Analytics and Data Science; Product Launch; Internet and the Web; Technology Adoption

November 1997 (Revised January 2003)
Case

Martin Smith: January 2002

By: Josh Lerner

An MBA student must choose between offers from three private equity organizations. Each organization has distinct strengths and weaknesses, and different implications for the student's career development. The case presents compensation and employment data about the... View Details

Keywords: Private Equity; Compensation and Benefits; Analytics and Data Science; Job Offer; Personal Development and Career

Educators

February 2007 (Revised May 2008)
Supplement

Bancaja: Developing Customer Intelligence (B)

In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details

Keywords: Customer Relationship Management; Credit Cards; Analytics and Data Science; Knowledge Use and Leverage; Marketing Strategy; Banking Industry; Spain

November–December 2015
Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios

Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details

Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis

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October–December 2023
Article

A Practical Guide to Conversation Research: How to Study What People Say to Each Other

By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks

Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details

Keywords: Interpersonal Communication; Analytics and Data Science; Research

August 23, 2018
Article

Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost

By: Katy French, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel and Thomas W. Feeley

Patients and providers are frustrated with seemingly endless data entry. We used our patients’ vested interest in their own health care by actively engaging them in the entry of their own medical information into the EHR. Prior to the implementation of the new EHR we... View Details

Keywords: Health Care and Treatment; Analytics and Data Science; Performance Efficiency; Cost Management

09 Feb 2007
Working Paper Summaries

Do Corporate Social Responsibility Ratings Predict Corporate Social Performance?

Keywords: by Aaron K. Chatterji, David I. Levine & Michael W. Toffel

September–October 2024
Article

Where Data-Driven Decision-Making Can Go Wrong

By: Michael Luca and Amy C. Edmondson

When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details

Keywords: Information; Analytics and Data Science; Analysis; Decision Making

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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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February 2022 (Revised January 2024)
Supplement

Winning Business at Russell Reynolds (C)

By: Ethan Bernstein and Cara Mazzucco

In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details

Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry