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2013
Tool

Harvard Business Review's Go to Market Tools: Market Sizing

By: Jill Avery and Thomas Steenburgh

Market size matters. On the hook to launch your division's next great product or service? Need to convince higher ups that your product will fit that gaping revenue hole—and is worth the team's scarce marketing and product development resources? You need hard data to... View Details

Keywords: Quantitative Analysis; Tools; Go To Market Strategy; Marketing Strategy; Marketing

May 2024
Article

Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis

By: Bhavani Shanker Uppari, Serguei Netessine, Ioanna Popescu and Rowan P. Clarke

A significant proportion of the world's population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper,... View Details

Keywords: Technological Innovation; Developing Countries and Economies; Consumer Behavior; Poverty; Logistics; Business Model; Utilities Industry

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2013
Tool

Harvard Business Review's Go to Market Tools: Pricing for Profit

By: Thomas Steenburgh and Jill Avery

What price is right? Figuring out the best price for your product or service can be nerve-wracking. Your new product launch or marketing campaign's success—perhaps even your career advancement—may hinge on the price you choose. So how do you select a price that's... View Details

Keywords: Quantitative Analysis; Tools; Pricing; Profitability Analysis; Pricing Strategy; Marketing Strategy; Marketing

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales

By: Ayelet Israeli

06 Jul 2017
Working Paper Summaries

Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited

Keywords: by Doug J. Chung, Byungyeon Kim, and Byoung Park; Pharmaceutical

August 2018 (Revised September 2018)
Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details

Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

September–October 2020
Article

The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections

By: Lingling Zhang and Doug J. Chung

This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details

Keywords: Multi-channel Marketing; Ground Campaigning; Political Campaigns; Discrete-choice Model; Instrumental Variables; Political Elections; Marketing Channels; Advertising; United States

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September 2009
Article

Finance and Politics: A Review Essay Based on Kenneth Dam's Analysis of Legal Traditions in The Law-Growth Nexus

By: Mark J. Roe and Jordan I. Siegel

Strong financial markets are widely thought to propel economic development, with many in finance seeing legal tradition as fundamental to protecting investors sufficiently for finance to flourish. Kenneth Dam finds that the legal tradition view inaccurately portrays... View Details

Keywords: Financial Development; Economic Development; Kenneth Dam; Finance; Government and Politics; Information; Law

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April 2012
Article

Bouncing Out of the Banking System: An Empirical Analysis of Involuntary Bank Account Closures

By: Dennis Campbell, F. Asis Martinez-Jerez and Peter Tufano

Using a new database, we document the factors that relate to the extent of involuntary consumer bank account closure resulting from excessive overdraft activity. Consumers who have accounts involuntarily closed for overdraft activity may have limited or no access to... View Details

Keywords: Mathematical Methods; Customers; Social Issues; Outcome or Result; Budgets and Budgeting; Forecasting and Prediction; Competition; Banks and Banking; Policy; Personal Characteristics; Credit; Employment; United States

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July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

By: Ayelet Israeli

February 2015
Other Article

Evaluating the Impact of the Baby-Friendly Hospital Initiative on Breast-feeding Rates: A Multi-state Analysis

By: Summer Sherburne Hawkins, Ariel Dora Stern, Christopher F. Baum and Matthew W. Gillman

Objectives: Despite the passage of state laws promoting breast feeding, a formal evaluation has not yet been conducted to test whether and/or what type of laws may increase breast feeding. The enactment of breastfeeding laws in different states in the USA creates a... View Details

Keywords: Race; Nutrition; Laws and Statutes; United States

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August 2019
Case

Bark Gift Shop Ltd.

By: Susanna Gallani, Jan Bouwens and Peter Kroos

This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details

Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to Artea Teaching Note 521-041. 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... View Details

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli

August 2018 (Revised September 2018)
Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

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: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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

July 2018 (Revised June 2020)
Case

The Boston Cranberry Company

By: Alan MacCormack

This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing... View Details

Keywords: Process Analysis; Plant Management; Operations; Production; Management; Analysis; Performance Capacity; Investment

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

September 2013
Teaching Note

The Case of the Unidentified Industries—2013

By: Mihir A. Desai, William E. Fruhan, Jr. and Elizabeth A. Meyer

Helps students to understand how the characteristics of a business are reflected in its financial statements. This case consists of an exercise in which students are given balance sheet data in percentage form and other selected financial data for companies in 14... View Details

Keywords: Financial Management; Accounting Statements; Ratio Analysis; Financial Statements; Finance

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