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August 2018 (Revised September 2018)
Case

Predicting Purchasing Behavior at PriceMart (A)

By: Srikant M. Datar and Caitlin N. Bowler

This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction

Article

Private and Civil Society Governors of Mercury Pollution from Artisanal and Small-scale Gold Mining: A Network Analytic Approach

By: Kristin Sippl

Artisanal and small-scale gold mining (ASGM) is both a subsistence livelihood for millions of people and the leading source of mercury pollution globally. The United Nation’s 2013 Minamata Convention on Mercury aims to address this challenge, but such public regulatory... View Details

Keywords: Artisanal And Small-scale Mining (ASM); Private Governance; Gold; Mercury; Mining; Governance; Networks; Pollutants; Research

June 2012
Article

A Reexamination of Tunneling and Business Groups: New Data and New Methods

By: Jordan I. Siegel and Prithwiraj Choudhury

One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details

Keywords: Corporate Governance; Mergers And Acquisitions; Business Economics; Firm Organization; Firm Performance; Groups and Teams; Analytics and Data Science

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April 2015 (Revised March 2017)
Case

Instacart and the New Wave of Grocery Startups

By: John Deighton and Leora Kornfeld

Instacart is testing an Uber-style solution to the challenge of building a home-delivered grocery business. It is backed by $220 million of venture funding. Will this model succeed where businessses like Webvan failed? What are the questions that this exploratory... View Details

Keywords: Food Retailing; Outsourced Grocery Delivery; Online Ordering; Dynamic Pricing; Data Analytics; Marketing Strategy; Food; Distribution Channels; Business Startups; Food and Beverage Industry; California

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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September 2017
Case

Sensing (and Monetizing) Happiness at Hitachi

By: Ethan Bernstein and Stephanie Marton

Inspired by research linking happiness and productivity, Hitachi had invested in developing new “people analytics” technologies to help companies increase employee happiness. Hitachi had begun manufacturing high-tech badges that quantify a wearer’s activity patterns.... View Details

Keywords: People Analytics; Japan; Sociometers; Wearables; Interpersonal Communication; Human Resources; Happiness; Technology Industry; Japan

July 2021
Article

Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

By: Sam Ransbotham, Eric Overby and Michael C. Jernigan

Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details

Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry

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September 2020 (Revised June 2023)
Exercise

Artea: Designing Targeting Strategies

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

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

January 2016
Case

Acxiom

By: John Deighton

Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker? View Details

Keywords: Big Data; Direct Marketing; Personal Data; Privacy; Digital Marketing; Retargeting; Rights; Analytics and Data Science; Ethics; Marketing; United States

Web

Research & Data Services for HBS Faculty & Doctoral Students | Baker Library

researchers, librarians and data specialists providing information, data, analytical and visualization solutions for HBS faculty, research associates, and doctoral students. We support research projects and... View Details

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction

September 2010
Article

Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?

By: Saravanan Kesavan, Vishal Gaur and Ananth Raman

Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details

Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States

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March 2016
Supplement

Advertising Experiments at RestaurantGrades

By: Weijia Dai, Hyunjin Kim and Michael Luca

This exercise provides students with a data set consisting of results from a hypothetical experiment, and asks students to make recommendations based on the data. Through this process, the exercise teaches students to analyze, design, and interpret experiments. The... View Details

Keywords: Experimental Methods; Analytics; Web Technology; Marketing; Digital Marketing; Analysis; Performance Effectiveness; Social Media

August 2019 (Revised February 2020)
Teaching Note

Sidewalk Labs: Privacy in a City Built from the Internet Up

By: Leslie John and Mitch Weiss

Email mking@hbs.edu for a courtesy copy.

The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details

Keywords: Privacy; Privacy By Design; Privacy Regulation; Platforms; Data; Data Security; Behavioral Science; Analytics and Data Science; Safety; Entrepreneurship; Business and Government Relations; Consumer Behavior; Digital Platforms

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

Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute

By: Josh Lerner and Leslie Jeng

Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores... View Details

Keywords: Analytics and Data Science; Research; Entrepreneurship; Private Sector

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June 2023
Simulation

Artea Dashboard and Targeting Policy Evaluation

By: Ayelet Israeli and Eva Ascarza

Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details

December 2013
Article

How Google Sold Its Engineers on Management

By: David A. Garvin

High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details

Keywords: Organizational Behavior; Human Resource Management; Managing Change; Organizational Change; Analytics; Management; Leadership; Human Resources; Talent and Talent Management

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