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  • April 2006
  • Module Note

Asset Allocation: A Half-Course Module Note

By: Luis M. Viceira
Provides an overview of the main ideas and structure of a 15-session module on long-term asset allocation designed for MBA graduate students and investment professionals. This module is taught as part of a full-length, 30-session elective class on investment management... View Details
Keywords: Asset Management; Investment; Decisions; Management; Management Analysis, Tools, and Techniques; Teaching; Theory
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Viceira, Luis M. "Asset Allocation: A Half-Course Module Note." Harvard Business School Module Note 206-133, April 2006.
  • April 1997
  • Case

Pricing for Profit: The UK Credit Card Industry in the Late 1980s (A)

Describes the United Kingdom credit card industry in the late 1980s, which was really three businesses: a cashless transaction business for merchants, a cashless transaction business for card holders, and a credit business for card holders. At the time of the case,... View Details
Keywords: Credit Cards; Price; Decision Making; Game Theory; United Kingdom
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Stuart, Harborne W., Jr. "Pricing for Profit: The UK Credit Card Industry in the Late 1980s (A)." Harvard Business School Case 897-168, April 1997.
  • April 2006
  • Background Note

Informing Service Management with Customer Data

By: Frances X. Frei and Dennis Campbell
Taught as the third module in a Harvard Business School course on Managing Service Operations. Explores the role of data analysis in ongoing service management. Describes how to realize the maximum amount of value from analyses and use this information in... View Details
Keywords: Decision Making; Design; Analytics and Data Science; Service Operations; Mathematical Methods; Value
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Frei, Frances X., and Dennis Campbell. "Informing Service Management with Customer Data." Harvard Business School Background Note 606-097, April 2006.
  • February 2024
  • Case

ReSpo.Vision: The Kickstart of an AI Sports Revolution

By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details
Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe
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Gompers, Paul A., Elena Corsi, and Nikolina Jonsson. "ReSpo.Vision: The Kickstart of an AI Sports Revolution." Harvard Business School Case 824-151, February 2024.
  • November 2019
  • Article

When and Why Defaults Influence Decisions: A Meta-analysis of Default Effects

By: Jon M. Jachimowicz, Shannon Duncan, Elke U. Weber and Eric J. Johnson
When people make decisions with a pre-selected choice option—a “default”—they are more likely to select that option. Because defaults are easy to implement, they constitute one of the most widely employed tools in the choice architecture toolbox. However, to decide... View Details
Keywords: Choice Architecture; Defaults; Default Effects; Decision Making; Behavior; Analysis
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Jachimowicz, Jon M., Shannon Duncan, Elke U. Weber, and Eric J. Johnson. "When and Why Defaults Influence Decisions: A Meta-analysis of Default Effects." Behavioural Public Policy 3, no. 2 (November 2019): 159–186.
  • July 2017
  • Case

Centerbridge Partners and Great Wolf Resorts: Buying from a Highly Regarded Competitor

By: Josh Lerner, John D. Dionne and Amram Migdal
The case examines the March 2015 Centerbridge Partners investment decision regarding whether to acquire Great Wolf Resorts, a North American family-oriented indoor water parks and hotel operator, from a private equity (PE) competitor, Apollo Global Management. The case... View Details
Keywords: Private Equity Financing; Commercial Mortgage Backed Securities; CMBS; Secondary Buyouts; Business Ventures; Acquisition; Finance; Borrowing and Debt; Cost; Cost of Capital; Equity; Private Equity; Financial Instruments; Debt Securities; Accommodations Industry; Entertainment and Recreation Industry; Financial Services Industry; North and Central America; United States
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Lerner, Josh, John D. Dionne, and Amram Migdal. "Centerbridge Partners and Great Wolf Resorts: Buying from a Highly Regarded Competitor." Harvard Business School Case 818-023, July 2017.
  • Teaching Interest

Investment Managment for Professional and Personal Investors

By: Luis M. Viceira
IMPPI is suitable for all students interested in gaining a broad perspective on investing and the asset management business, including those targeting careers in asset management and those interested in learning how to become sophisticated consumers of investment... View Details
  • September 2020 (Revised July 2022)
  • Exercise

Artea (C): Potential Discrimination through Algorithmic 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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
  • 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
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Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • 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
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Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
  • TeachingInterests

Finance II (MBA Required Curriculum)

By: Benjamin C. Esty

This course builds on the foundation developed in Finance I, focusing on three sets of managerial decisions:

  • How to evaluate complex investments.
  • How to set and execute financial policies within a firm.
  • How to integrate... View Details
  • 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
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Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
  • February 2001
  • Case

PlanetFeedback: The Voice of One ... The Power of Many (A)

By: James L. Heskett
The management of PlanetFeedback in proposes a merger with Intelliseek. Their goal is to create a comprehensive C2B and B2B business focused on the generation and analysis for business clients of consumer feedback data via the Internet, Planet Feedback's board of... View Details
Keywords: Mergers and Acquisitions; Decisions; Information Management; Analytics and Data Science; Business Strategy; Internet and the Web; Information Technology Industry
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Heskett, James L. "PlanetFeedback: The Voice of One ... The Power of Many (A)." Harvard Business School Case 901-051, February 2001.
  • Research Summary

Microfinance

"Tying Odysseus to the Mast: Evidence from a Commitment Savings Product in the Philippines." (with Dean Karlan and Wesley Yin) Quarterly Journal of Economics 121, no. 2, 2006.
View Details

  • March 2008 (Revised July 2011)
  • Supplement

Cadbury Schweppes: Capturing Confectionery (D)

By: David Collis, Toby Stuart and Troy Smith
In late 2002, global confectionery and beverage maker Cadbury Schweppes needed to decide whether or not to make an acquisition bid for Adams, an underperforming gum company which had been put up for sale by pharmaceutical giant Pfizer. Examining the decision from a... View Details
Keywords: Food; Mergers and Acquisitions; Corporate Strategy
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Collis, David, Toby Stuart, and Troy Smith. "Cadbury Schweppes: Capturing Confectionery (D)." Harvard Business School Supplement 708-491, March 2008. (Revised July 2011.)
  • March 2008 (Revised January 2023)
  • Supplement

Cadbury Schweppes: Capturing Confectionery (B)

By: David Collis, Toby Stuart and Troy Smith
In late 2002, global confectionery and beverage maker Cadbury Schweppes needed to decide whether or not to make an acquisition bid for Adams, an underperforming gum company which had been put up for sale by pharmaceutical giant Pfizer. Examining the decision from a... View Details
Keywords: Food; Mergers and Acquisitions; Corporate Strategy; Food and Beverage Industry
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Collis, David, Toby Stuart, and Troy Smith. "Cadbury Schweppes: Capturing Confectionery (B)." Harvard Business School Supplement 708-454, March 2008. (Revised January 2023.)
  • September 2020 (Revised February 2024)
  • Teaching Note

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

By: Eva Ascarza and Ayelet Israeli
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 A/B testing analysis and... View Details
Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
  • March 2008 (Revised July 2011)
  • Supplement

Cadbury Schweppes: Capturing Confectionery (C)

By: David Collis, Toby Stuart and Troy Smith
In late 2002, global confectionery and beverage maker Cadbury Schweppes needed to decide whether or not to make an acquisition bid for Adams, an underperforming gum company which had been put up for sale by pharmaceutical giant Pfizer. Examining the decision from a... View Details
Keywords: Food; Mergers and Acquisitions; Corporate Strategy; Food and Beverage Industry
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Collis, David, Toby Stuart, and Troy Smith. "Cadbury Schweppes: Capturing Confectionery (C)." Harvard Business School Supplement 708-455, March 2008. (Revised July 2011.)
  • 12 Feb 2008
  • First Look

First Look: February 12, 2007

these conventions, pension assets and liabilities are not included in balance sheet calculations. The modern risk management tools of derivatives technologies can improve both corporate decision making and external View Details
Keywords: Martha Lagace
  • November 1990
  • Case

Chemplan Corp.: Paint-Rite Division

By: Paul A. Vatter
An exercise with data that allows a discussion of regression analysis as a tool for forecasting and understanding structure. View Details
Keywords: Forecasting and Prediction; Framework; Analytics and Data Science; Mathematical Methods
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Vatter, Paul A. "Chemplan Corp.: Paint-Rite Division." Harvard Business School Case 191-090, November 1990.
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