Publications

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

November 5, 2021
Article

Leaders: Stop Confusing Correlation with Causation

By: Michael Luca

We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details

Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning

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Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl

Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details

Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets

May 2014
Article

Incorporating Field Data into Archival Research

By: Eugene F. Soltes

I explore the use of field data in conjunction with archival evidence by examining Iliev, Miller, and Roth's (2014) analysis of an amendment to the Securities Exchange Act of 1934. This regulatory amendment allowed depositary banks to cross-list firms without the... View Details

Keywords: Analytics and Data Science; Research; Financial Reporting

SSRN

2015
Book

Economic Analysis of the Digital Economy

By: Avi Goldfarb, Shane Greenstein and Catherine Tucker

As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on economic... View Details

Keywords: Information Technology; Economics

October 2018
Case

Fundraising at St. Camillus Hospital

By: Srikant M. Datar and Caitlin N. Bowler

St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital... View Details

Keywords: Data Analysis; Data Privacy; Data Governance; Non-profit; Health Care; Fundraising; Data Security; Analytics and Data Science; Safety; Governance; Ethics; Health Care and Treatment; Cybersecurity

Educators

December 2022 (Revised February 2023)
Case

Akooda: Charging Toward Operational Intelligence

By: Christopher T. Stanton and Mel Martin

The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details

Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel

Educators

22 Aug 2005
Research & Ideas

The Hard Work of Failure Analysis

of an airliner. Hundreds of hours may go into gathering and analyzing data to sort out exactly what happened and what can be learned. Compare this kind of analysis to what takes place in most organizations... View Details

Keywords: by Amy Edmondson & Mark D. Cannon

16 Aug 2010
Lessons from the Classroom

HBS Introduces Marketing Analysis Tools for Managers

marketing has undergone immense changes over the past decade, and those changes are driving an increasing need for data analysis. Marketing today combines both art and science: Managers must combine creative thinking with rigorous View Details

Keywords: by Sarah Jane Gilbert

16 Oct 2019
Working Paper Summaries

Core Earnings? New Data and Evidence

Keywords: by Ethan Rouen, Eric So, and Charles C.Y. Wang

11 May 2021
Working Paper Summaries

Time Dependency, Data Flow, and Competitive Advantage

Keywords: by Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani

04 Jun 2024
Research & Ideas

Navigating Consumer Data Privacy in an AI World

be forgotten.” So, if someone asks a company to delete their records because they don't want to be part of any data analysis or algorithms, the company needs to act fast and get it done. Sticking to the... View Details

Keywords: by Rachel Layne; Technology; Information Technology

August 2005 (Revised April 2008)
Teaching Note

Store24 (B): Statistics Review with Data Desk (TN)

By: Frances X. Frei

Presents an overview of the statistical analysis covered in the case discussion. View Details

Keywords: Mathematical Methods; Retail Industry

February 2021
Tutorial

T-tests: Theory and Practice

By: Michael Parzen, Natalie Epstein, Chiara Farronato and Michael Toffel

This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details

Keywords: Data Analysis; Data Analytics; Experiment Design; Experimentation; Analytics and Data Science; Analysis

Research Summary

Finding their voice: Time and the conditions that elevate participation of lower-power members in teams [Dissertation, data analysis and writing]

This dissertation paper develops theory about how gaining voice and “speaking up” by low-power members is not sufficient to create changes that benefit them and their low-power colleagues; that, in fact, speaking up when the team is not ready to listen results in... View Details

Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth

Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details

Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory

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2013
Chapter

Privacy Breach Analysis in Social Networks

By: Frank Nagle

Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details

Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science

December 1996 (Revised November 2006)
Background Note

General Mills, Inc.: Appendix of Comparable Company Data

By: William J. Bruns Jr.

Financial ratios for comparable companies to be used in conjunction with an analysis of the General Mills Annual Report. View Details

Keywords: Business Conglomerates; Analytics and Data Science; Food and Beverage Industry