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- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...
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- 2020
- Working Paper
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris Ferreira and Ryan McNellis
As more commerce and media consumption are being conducted online, a wealth of new opportunities are emerging for personalized advertising. We propose a general methodology, Model Trees for Personalization (MTP), for tackling a broad class of personalized...
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- 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.
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- 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...
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- February 2017
- Background Note
Decision Analysis
By: George Wu and Kathleen McGinn
Describes decision analysis, a systematic approach for analyzing decision problems. A running example illustrates problem structuring (decision trees), probability assessment, endpoint evaluation, “folding back the tree” as a method of analysis, and sensitivity...
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- April 2016 (Revised June 2017)
- Teaching Note
Dollar General Bids for Family Dollar
By: Jonas Heese, Paula A. Price and Suraj Srinivasan
In spring 2015, Dollar General CEO Rick Dreiling was looking ahead to retiring at year's end but worried about ensuring continued growth for the company he had built since 2008 into a market leader in the U.S. discount retail world. Dollar General operated over 11,500...
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- November 2015 (Revised October 2017)
- Case
Dollar General Bids for Family Dollar
By: Jonas Heese, Paula A. Price, Suraj Srinivasan and David Lane
In spring 2015, Dollar General's CEO Rick Dreiling was looking ahead to retiring at year's end but worried about ensuring continued growth for the company he had built since 2008 into a market leader in the U.S. discount retail world. Dollar General operated over...
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- June 2007 (Revised March 2011)
- Case
The CW: Launching a Television Network
By: Anita Elberse and S. Mark Young
In May 2006, Dawn Ostroff, president of entertainment of the newly formed CW Television Network, was faced with the task of choosing the final set of programs for the 2006 fall schedule, which she would present to advertisers at the annual "upfront" market in New York...
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- October 2006 (Revised March 2009)
- Case
Clifford Chance: Repotting the Tree
By: Arthur I Segel, A. Eugene Kohn and Nhat Minh Nguyen
Clifford Chance, LLP, a global law firm headquartered in London, needs to make a decision whether to stay in the central business district of London or move to a redeveloped business park at Canary Wharf, three miles outside of central London. Peter Charleton, head of...
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- December 2004 (Revised March 2006)
- Background Note
Decision Trees
By: Robin Greenwood and Lucy White
This case introduces decision analysis. Using a simple example, it illustrates the use of probability trees and decision trees as tools for solving business problems.
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Keywords:
Decision Making
- September 2003 (Revised October 2020)
- Exercise
RetailMax: Role for Cam Archer
By: Kathleen McGinn and Dina Witter
This exercise requires students to enact an internal salary negotiation, taking on the roles of Cam Archer, a star employee, and Regan Kessel, a VP trying to attract the MBA into his department. The exercise presents a one-issue, distributive negotiation that...
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- September 2003 (Revised September 2018)
- Exercise
RetailMax: Role for Regan Kessel
By: Kathleen McGinn and Dina Witter
This exercise requires students to enact an internal salary negotiation, taking on the roles of Cam Archer, a star employee, and Regan Kessel, a VP trying to attract the MBA into his department. The exercise presents a one-issue, distributive negotiation that...
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- January 2001
- Case
Valuing Project Achieve
By: Mihir A. Desai and Kathleen Luchs
Project Achieve is a start-up providing information management solutions for schools. Its founders see a need for software both to manage the volumes of information necessary to administer a school and to connect parents, teachers, and students in a more effective way....
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- October 2000 (Revised March 2003)
- Case
Merck & Company: Evaluating a Drug Licensing Opportunity
By: Richard S. Ruback and David B Krieger
This explores the valuation of an opportunity to license a compound before it enters clinical trials. Describes Merck's decision tree evaluation process is presented. Information required to evaluate a specific licensing opportunity is provided, including the costs of...
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- October 2000
- Case
Tree Values
By: Richard S. Ruback and Kathleen Luchs
Describes two alternative tree cutting strategies. The first is to cut all trees that are at least 12 inches in diameter at breast height. The second is to thin the forest by cutting less desirable trees immediately and harvesting the crop trees later. The case...
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- 2000
- Working Paper
The Logic of the First Amendment
By: Clifford G. Holderness, Michael C. Jensen and William H. Meckling
We develop a framework that is applicable to all freedom of expression disputes. Our framework is based on the meaning of freedom which is based on the meaning of scarcity, and which, in turn, is based on the existence of physical incompatibilities. To maximize...
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- Forthcoming
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details