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- November 2023
- Case
Votorantim: Uniting Family and Business Across Generations
By: Christina R. Wing, Carla Larangeira and Pedro Levindo
Over a 105-year span, the Ermírio de Moraes family built Votorantim, one of Latin America’s largest industrial conglomerates, and among Brazil’s topmost businesses, also credited for helping “build” the country over decades. By early 2023, Votorantim included...
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- October 2023 (Revised November 2023)
- Teaching Note
The Miccosukee Tribe and the Battle to Save the Everglades: A Miami Climate Action Story
By: Rosabeth Moss Kanter and Jacob A. Small
Teaching Note for HBS Case No. 324-002. "Miccosukee" explores the challenges of coordinating actions to solve a complex systems problem—from individuals, small organizations, and coalitions of multiple organizations. The case discusses the impact of climate change and...
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Keywords:
Climate Change
- September 2023
- Case
Trilling Foods: Managing People with Data
Trilling Foods, a regional bricks-and-mortar grocery chain, has recently provided its frontline managers with new tools for using data. Allison Andersen, Trilling’s VP of Data Science, has spearheaded these efforts. Yet, as she works with Kent Wade, the general manager...
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Feldberg, Alexandra C., and Jeffrey T. Polzer. "Trilling Foods: Managing People with Data." Harvard Business School Case 424-025, September 2023.
- August 2023
- Case
WayCool: Reimagining the Food Supply Chain
By: Paul Gompers and Kairavi Dey
Founded in 2015, WayCool, is an Indian agri-tech start-up that built a B2B operation acquiring fruits and vegetables from product-specific agriculture companies and small-holding farmers. It sold them to business customers, such as local retail stores, restaurants, and...
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- July 2023
- Case
HealthVerity: Real World Data and Evidence
By: Satish Tadikonda
Andrew Kress (CEO and founder) and his team had built a promising marketplace business at HealthVerity serving its core market in healthcare, with a focus on pharmaceutical R&D and services. Thus far, HealthVerity’s products had been unique to the pharma and pharma...
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Tadikonda, Satish. "HealthVerity: Real World Data and Evidence." Harvard Business School Case 824-019, July 2023.
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- 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...
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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.
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we...
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Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half...
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Cavallo, Alberto, and Gaston Garcia Zavaleta. "Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach." Working Paper, May 2023. (Preliminary draft.)
- 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...
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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).
- May 2023
- Article
Where Sales Technology (Really) Helps
Interest in Sales Enablement (SE), the catch-all term for attempts to increase sales productivity with AI and other technologies, is driven by multiple factors. One is the declining costs of the tools. Also, selling is now data-hungry work and not just in tech sectors....
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- 2023
- Working Paper
Firm Purpose and Problem Wickedness: A Review of the Academic Literature
By: Caroline Adelson, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price and Marco Iansiti
Our understanding of the firm’s role in society has evolved greatly over the past 70 years, with more recent years seeing a sharp rise in interest for how firms can contribute more than profits to society – that is, have a purpose beyond profits. Businesses engaged in...
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Adelson, Caroline, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price, and Marco Iansiti. "Firm Purpose and Problem Wickedness: A Review of the Academic Literature." Harvard Business School Working Paper, No. 23-063, April 2023.
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant...
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Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
- March 2023
- Module Note
Communication as a Trusted Advisor
By: David G. Fubini and Patrick Sanguineti
A module note for the Mastering Consulting and Advisory Skills (MCAS) course, "Communication as a Trusted Advisor" provides best practices for communicating as an advisor across multiple contexts.
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Keywords:
Communication
Fubini, David G., and Patrick Sanguineti. "Communication as a Trusted Advisor." Harvard Business School Module Note 423-081, 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...
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Keywords:
Decision Trees;
Computational Advertising;
Market Segmentation;
Analytics and Data Science;
E-commerce;
Consumer Behavior;
Marketplace Matching;
Marketing Channels;
Digital Marketing
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.
- February 2023 (Revised July 2023)
- Case
Moleskine Foundation: Can Creativity Change the World?
By: Ryan Raffaelli, Alexandra C. Feldberg and Sarah Gulick
The Italy-based Moleskine Foundation worked with young adults in Africa and Europe to inspire social change through art and creative projects. Adama Sanneh, the newly appointed CEO of the Moleskine Foundation, faced several challenges: First, he had to make his own...
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Keywords:
Nonprofit Organizations;
Social Enterprise;
Leadership;
Identity;
Strategy;
Education Industry;
Italy;
Africa;
Europe;
United States
Raffaelli, Ryan, Alexandra C. Feldberg, and Sarah Gulick. "Moleskine Foundation: Can Creativity Change the World?" Harvard Business School Case 423-043, February 2023. (Revised July 2023.)
- 2023
- Working Paper
Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education
By: Tahir Andrabi, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja and Naureen Karachiwalla
We estimate the equilibrium effects of a public-school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village-level, allowing...
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Andrabi, Tahir, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja, and Naureen Karachiwalla. "Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education." NBER Working Paper Series, No. 30929, February 2023.
- January 2023 (Revised August 2023)
- Case
Veeva Systems and the Transformation to a Public Benefit Corporation
By: Ranjay Gulati and Allison M. Ciechanover
Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the...
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- January 2023
- Case
Cleave Therapeutics: Taking a Risk on Oncology Drug Discovery
By: Regina Herzlinger and Brian Walker
What should a successful executive (HBS Baker Scholar) assess as her next move as the CEO of a firm with a promising and yet uncertain new drug? Amy Burroughs’ mandate to successfully commercialize Cleave Therapeutics’ drug for a cancer with no current successful...
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Keywords:
Product Development;
Leadership;
Health Testing and Trials;
Research and Development;
Risk and Uncertainty;
Financial Condition;
Partners and Partnerships;
Pharmaceutical Industry
Herzlinger, Regina, and Brian Walker. "Cleave Therapeutics: Taking a Risk on Oncology Drug Discovery." Harvard Business School Case 323-045, January 2023.