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      Decision MakingRemove Decision Making →

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      • August 2023
      • Case

      Stay or Go? Sarah Reynolds at Kensington Partners

      By: David G. Fubini, Amr Seifeldin and Patrick Sanguineti
      Sarah Reynolds, a Partner at the global Kensington Partners strategy consulting firm, has headed the firm's Telecommunications Group for a few years. Thanks to her stellar track record with clients, she has brought the group, and herself, a range of accolades and... View Details
      Keywords: Consulting; Consulting Firms; Client Service; Career Management; Success; Time Management; Decision Choices and Conditions; Personal Development and Career
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      Fubini, David G., Amr Seifeldin, and Patrick Sanguineti. "Stay or Go? Sarah Reynolds at Kensington Partners." Harvard Business School Case 424-020, August 2023.
      • August 2023 (Revised May 2024)
      • Case

      Dicerna Pharmaceuticals: Decision Making in Clinical Trial Design and Operations

      By: Satish Tadikonda and Amanda McEwen
      The success or failure of Dicerna Pharmaceuticals (Dicerna) as an emerging pharmaceutical company would likely hinge on its lead drug candidate Nedosiran and the company’s ability to see it successfully through clinical development. Ralf Rosskamp, Chief Medical... View Details
      Keywords: Business Strategy; Health Testing and Trials; Product Development; Governing Rules, Regulations, and Reforms; Pharmaceutical Industry
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      Tadikonda, Satish, and Amanda McEwen. "Dicerna Pharmaceuticals: Decision Making in Clinical Trial Design and Operations." Harvard Business School Case 824-018, August 2023. (Revised May 2024.)
      • August 2023 (Revised January 2024)
      • Case

      Three Vignettes of Early Careers in the Life Sciences

      By: Satish Tadikonda, Jacqueline Grant and William Marks
      The case showcases three vignettes of career choice scenarios facing new graduates. How one navigates and handles these situations can have a significant impact on careers overall, with each vignette representing a situation likely to be experienced by most students in... View Details
      Keywords: Personal Development and Career; Decision Choices and Conditions; Job Offer
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      Tadikonda, Satish, Jacqueline Grant, and William Marks. "Three Vignettes of Early Careers in the Life Sciences." Harvard Business School Case 824-054, August 2023. (Revised January 2024.)
      • August 2023
      • Case

      Kariyer.net: Recruiting AI

      By: Shunyuan Zhang, Fares Khrais and Namrata Arora
      In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal... View Details
      Keywords: Online Technology; Marketing; Websites; Artificial Intelligence; Innovation; Two-sided Platforms; Internet and the Web; Product Launch; Product Positioning; Job Search; Employment; Transformation; Volatility; Innovation and Invention; Disruptive Innovation; Management Practices and Processes; Business Growth and Maturation; Competitive Strategy; Business Startups; Talent and Talent Management; Cost vs Benefits; Macroeconomics; Corporate Entrepreneurship; Emerging Markets; Digital Platforms; Employment Industry; Information Technology Industry; Technology Industry; Middle East; Turkey
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      Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
      • August 2023
      • Case

      The Ethical Tightrope: When to Disclose the AI Shortcut

      By: David G. Fubini, William Fubini and Patrick Sanguineti
      In this short vignette on ethics in consulting, John Child, a new Associate at a prestigious firm who is eager to impress, decides to use an AI tool to expedite his analysis and craft his presentation due to a short project timeframe. Feeling uneasy about his decision... View Details
      Keywords: Ethics; Personal Development and Career; Decisions; Consulting Industry
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      Fubini, David G., William Fubini, and Patrick Sanguineti. "The Ethical Tightrope: When to Disclose the AI Shortcut." Harvard Business School Case 424-011, August 2023.
      • August 2023 (Revised January 2025)
      • Case

      The Gift Card Swap

      By: David G. Fubini, William Fubini, Patrick Sanguineti and Amy Chambers
      In this short vignette on ethics in consulting, Brenda Thompson, a new Associate at a prestigious consulting firm, learns that a fellow Associate is using the firm's meal expense benefits to pocket the difference between the maximum daily allowance and his actual... View Details
      Keywords: Ethics; Decisions; Consulting Industry
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      Fubini, David G., William Fubini, Patrick Sanguineti, and Amy Chambers. "The Gift Card Swap." Harvard Business School Case 424-010, August 2023. (Revised January 2025.)
      • 2023
      • Working Paper

      How People Use Statistics

      By: Pedro Bordalo, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
      We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis... View Details
      Keywords: Decision Choices and Conditions; Microeconomics; Mathematical Methods; Behavioral Finance
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      Bordalo, Pedro, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "How People Use Statistics." NBER Working Paper Series, No. 31631, August 2023.
      • August 2023 (Revised July 2025)
      • Case

      Morphic Therapeutic: Making the Initial Pipeline Decisions

      By: Satish Tadikonda and Ananya Zutshi
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      Tadikonda, Satish, and Ananya Zutshi. "Morphic Therapeutic: Making the Initial Pipeline Decisions." Harvard Business School Case 824-022, August 2023. (Revised July 2025.)
      • August 2023
      • Case

      Reimagining Hindustan Unilever (A)

      By: Sunil Gupta and Rachna Tahilyani
      In the fall of 2019, the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, is wondering what to do about their experiments to digitize distribution. Despite three years of intense efforts, their apps to empower retailers... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Distribution; Decisions; Organizational Change and Adaptation; Consumer Behavior; E-commerce; Competition; Performance; Business Strategy; Marketing; Transformation; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (A)." Harvard Business School Case 524-020, August 2023.
      • August 2023
      • Supplement

      Reimagining Hindustan Unilever (B)

      By: Sunil Gupta and Rachna Tahilyani
      In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Organizational Change and Adaptation; Business Strategy; Marketing; Performance; Competition; E-commerce; Consumer Behavior; Transformation; Distribution; Decisions; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (B)." Harvard Business School Supplement 524-022, August 2023.
      • 2023
      • Article

      Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

      By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
      The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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      Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
      • 2023
      • Working Paper

      Algorithm Failures and Consumers' Response: Evidence from Zillow

      By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
      In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details
      Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry
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      Troncoso, Isamar, Runshan Fu, Nikhil Malik, and Davide Proserpio. "Algorithm Failures and Consumers' Response: Evidence from Zillow." Working Paper, July 2023.
      • July 11, 2023
      • Article

      How Reputation Does (and Does Not) Drive People to Punish Without Looking

      By: Jillian J. Jordan and Nour S. Kteily
      Punishing wrongdoers can confer reputational benefits, and people sometimes punish without careful consideration. But are these observations related? Does reputation drive people to people to “punish without looking”? And if so, is this because unquestioning... View Details
      Keywords: Opposing Perspectives; Outrage Culture; Signaling; Ideology; Moralistic Punishment; Perspective; Behavior; Reputation; Decision Making
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      Jordan, Jillian J., and Nour S. Kteily. "How Reputation Does (and Does Not) Drive People to Punish Without Looking." Proceedings of the National Academy of Sciences 120, no. 28 (July 11, 2023).
      • July 2023
      • Article

      Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

      By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
      In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
      Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science
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      Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
      • 2023
      • Working Paper

      The Complexity of Economic Decisions

      By: Xavier Gabaix and Thomas Graeber
      We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
      Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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      Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
      • 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
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • June 2023 (Revised January 2024)
      • Case

      Communities In Schools (Atlanta): Innovating a College Program

      By: V. Kasturi Rangan, Lynda M. Applegate and Alexis Lefort
      Frank Brown, CIS of Atlanta's new Black CEO, was keen to extend CIS's well-honed case management in schools program to youth in college. Founded 50 years ago by Bill Milliken, CIS, a network of 110 affiliates, had built a strong program of assisting and supporting... View Details
      Keywords: Decisions; Education; Expansion; Organizational Change and Adaptation; Atlanta
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      Rangan, V. Kasturi, Lynda M. Applegate, and Alexis Lefort. "Communities In Schools (Atlanta): Innovating a College Program." Harvard Business School Case 823-070, June 2023. (Revised January 2024.)
      • 2023
      • Working Paper

      Evaluation and Learning in R&D Investment

      By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
      We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
      Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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      Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
      • May–June 2023
      • Article

      Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut

      By: Fabrizio Fantini and Das Narayandas
      Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details
      Keywords: Analytics and Data Science; Decision Making
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      Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
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