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  • All HBS Web  (91)
    • Faculty Publications  (22)

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    • All HBS Web  (91)
      • Faculty Publications  (22)

      Decision TreesRemove Decision Trees →

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      • 2023
      • Article

      Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

      By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
      As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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      Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
      • March 2023
      • Teaching Note

      Sustainability Reporting at Dollar Tree, Inc.

      By: Suraj Srinivasan and Li-Kuan Ni
      Teaching Note for HBS Case No. 122-044. The case discusses the ESG strategy of Dollar Tree Inc., a U.S. Fortune 500 company in the deep discount retail industry and the shareholder pressure faced by the company. In 2022, the company faced a shareholder resolution from... View Details
      Keywords: ESG; Sustainability; Shareholder Activism; Dollar Tree; Sustainability Reporting; ESG Reporting; Board Of Directors; Shareholder Engagement; GHG; Environmental Accounting; Integrated Corporate Reporting; Trends; Communication; Announcements; Voting; Environmental Management; Climate Change; Environmental Sustainability; Values and Beliefs; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governing Rules, Regulations, and Reforms; Policy; Reports; Business or Company Management; Risk Management; Corporate Social Responsibility and Impact; Outcome or Result; Strategic Planning; Business and Stakeholder Relations; Situation or Environment; Opportunities; Civil Society or Community; Social Issues; Public Opinion; Strategy; Adaptation; Alignment; Business Strategy; Corporate Strategy; Value Creation; Retail Industry; United States; Virginia
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      Srinivasan, Suraj, and Li-Kuan Ni. "Sustainability Reporting at Dollar Tree, Inc." Harvard Business School Teaching Note 123-077, March 2023.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • October–December 2022
      • Article

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
      • June 2022 (Revised August 2022)
      • Case

      Sustainability Reporting at Dollar Tree, Inc.

      By: Suraj Srinivasan and Li-Kuan Ni
      The cases discusses the ESG strategy of Dollar Tree Inc., a U.S. Fortune 500 company in the deep discount retail industry and the and shareholder pressure faced by the company. In 2022, the company faced a shareholder resolution from a renowned shareholder advocacy... View Details
      Keywords: ESG; Sustainability; Shareholder Activism; Dollar Tree; Sustainability Reporting; ESG Reporting; Board Of Directors; Shareholder Engagement; GHG; Environmental Accounting; Integrated Corporate Reporting; Trends; Communication; Announcements; Voting; Environmental Management; Climate Change; Environmental Sustainability; Values and Beliefs; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governing Rules, Regulations, and Reforms; Policy; Reports; Business or Company Management; Risk Management; Corporate Social Responsibility and Impact; Outcome or Result; Strategic Planning; Business and Stakeholder Relations; Situation or Environment; Opportunities; Civil Society or Community; Social Issues; Public Opinion; Strategy; Adaptation; Alignment; Business Strategy; Corporate Strategy; Value Creation; Retail Industry; United States; Virginia
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      Srinivasan, Suraj, and Li-Kuan Ni. "Sustainability Reporting at Dollar Tree, Inc." Harvard Business School Case 122-044, June 2022. (Revised August 2022.)
      • 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

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • 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... View Details
      Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
      • 2020
      • Working Paper

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
      Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
      • 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
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
      • 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
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
      • 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... View Details
      Keywords: Decision Analysis; Decision Trees; Probability; Decision Making; Analysis
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      Wu, George, and Kathleen McGinn. "Decision Analysis." Harvard Business School Background Note 917-018, February 2017.
      • 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... View Details
      Keywords: Dollar General; Family Dollar; Dollar Tree; Antitrust; Board Of Directors; Activist Investors; Federal Trade Commission; Acquisition; Valuation; Corporate Strategy; Retail Industry
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      Heese, Jonas, Paula A. Price, and Suraj Srinivasan. "Dollar General Bids for Family Dollar." Harvard Business School Teaching Note 116-052, April 2016. (Revised June 2017.)
      • 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... View Details
      Keywords: Dollar General; Family Dollar; Dollar Tree; Antitrust; Board Of Directors; Activist Investors; Federal Trade Commission; Acquisition; Valuation; Corporate Strategy; Retail Industry; United States
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      Heese, Jonas, Paula A. Price, Suraj Srinivasan, and David Lane. "Dollar General Bids for Family Dollar." Harvard Business School Case 116-007, November 2015. (Revised October 2017.)
      • 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... View Details
      Keywords: Advertising; Customer Relationship Management; Decision Choices and Conditions; Television Entertainment; Brands and Branding; Product Launch; Strategic Planning; Networks; Media and Broadcasting Industry
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      Elberse, Anita, and S. Mark Young. "The CW: Launching a Television Network." Harvard Business School Case 507-050, June 2007. (Revised March 2011.)
      • 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... View Details
      Keywords: Buildings and Facilities; Business Headquarters; Decision Choices and Conditions; Geographic Location; Logistics; London
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      Segel, Arthur I., A. Eugene Kohn, and Nhat Minh Nguyen. "Clifford Chance: Repotting the Tree." Harvard Business School Case 207-073, October 2006. (Revised March 2009.)
      • 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. View Details
      Keywords: Decision Making
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      Greenwood, Robin, and Lucy White. "Decision Trees." Harvard Business School Background Note 205-060, December 2004. (Revised March 2006.)
      • 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... View Details
      Keywords: BATNA; Decision Trees; Negotiation; Compensation and Benefits; Personal Development and Career; Retail Industry
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      McGinn, Kathleen, and Dina Witter. "RetailMax: Role for Cam Archer." Harvard Business School Exercise 904-024, September 2003. (Revised October 2020.)
      • 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... View Details
      Keywords: Negotiation; Compensation and Benefits; Management Practices and Processes; Retail Industry
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      McGinn, Kathleen, and Dina Witter. "RetailMax: Role for Regan Kessel." Harvard Business School Exercise 904-025, September 2003. (Revised September 2018.)
      • 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.... View Details
      Keywords: Business Startups; Valuation; Venture Capital; Cost of Capital; Cash Flow; Forecasting and Prediction
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      Desai, Mihir A., and Kathleen Luchs. "Valuing Project Achieve." Harvard Business School Case 201-080, January 2001.
      • 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... View Details
      Keywords: Decision Making; Cost vs Benefits; Opportunities; Valuation; Outcome or Result; Pharmaceutical Industry
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      Ruback, Richard S., and David B Krieger. "Merck & Company: Evaluating a Drug Licensing Opportunity." Harvard Business School Case 201-023, October 2000. (Revised March 2003.)
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