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- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for...
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Keywords:
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Technology Industry;
Retail Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- February 2024
- Teaching Note
Accelerating with Caution: Forecasting and Managing birddogs’ Growth (A) and (B)
By: Mark Egan
Teaching Note for HBS Case Nos. 224-023 and 224-024. As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. A nascent direct-to-consumer apparel brand, birddogs had carved its niche in men’s...
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- January 2024 (Revised January 2024)
- Case
Silicon Valley Bank: Gone in 36 Hours
This case examines factors contributing to the collapse of Silicon Valley Bank (SVB) in March 2023, an event as unpredicted as it was quick. SVB funded nearly half of all U.S. venture-backed startups and at the end of 2022 held $173 billion in deposits, largely...
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- January 2024
- Supplement
Accounting Red Flags or Red Herrings at Catalent? (B)
By: Joseph Pacelli, ZeSean Ali and Tom Quinn
GlassHouse Research identified accounting red flags at Catalent. Fiat Lux Partners countered most of GlassHouse’s claims. Who was right? This update explores the aftermath of the short seller duel.
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Keywords:
Accounting Audits;
Acquisition;
Budgets and Budgeting;
Business Earnings;
Earnings Management;
Cost Accounting;
Fair Value Accounting;
Financial Reporting;
Revenue Recognition;
Integrated Corporate Reporting;
Fairness;
Moral Sensibility;
Values and Beliefs;
Government Legislation;
Conflict of Interests;
Announcements;
Blogs;
Debates;
Lawsuits and Litigation;
Stocks;
Performance Productivity;
Pharmaceutical Industry;
Accounting Industry;
United States
- 2024
- Conference Paper
Fair Machine Unlearning: Data Removal while Mitigating Disparities
By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
- October 2023 (Revised January 2024)
- Case
Accounting Red Flags or Red Herrings at Catalent? (A)
By: Joseph Pacelli, ZeSean Ali and Tom Quinn
Fund manager Janet Curie asked for a recommendation about the pharmaceutical company Catalent. The company seemed like a solid investment. However, a pair of research reports issued over the previous two months complicated this narrative. GlassHouse Research, a short...
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Keywords:
Accounting Audits;
Budgets and Budgeting;
Business Earnings;
Earnings Management;
Cost Accounting;
Fair Value Accounting;
Financial Reporting;
Revenue Recognition;
Integrated Corporate Reporting;
Fairness;
Moral Sensibility;
Values and Beliefs;
Government Legislation;
Conflict of Interests;
Forms of Communication;
Announcements;
Blogs;
Debates;
Pharmaceutical Industry;
Accounting Industry;
United States
- 2023
- Working Paper
The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia
By: Caleb Kwon and Ananth Raman
Effective in eight jurisdictions and banned in four, Fair Workweek Laws (FWL) aim to increase the predictability and stability of work schedules. Among other requirements, these laws penalize employers for unilaterally adjusting work schedules without providing some...
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Kwon, Caleb, and Ananth Raman. "The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia." Working Paper, October 2023.
- September 2023 (Revised February 2024)
- Case
Accelerating with Caution: Forecasting and Managing birddogs' Growth
By: Mark Egan
As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working...
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Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs' Growth." Harvard Business School Case 224-023, September 2023. (Revised February 2024.)
- September 2023
- Supplement
Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)
By: Mark Egan
As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working...
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Keywords:
Working Capital;
Forecasting and Prediction;
Expansion;
Production;
Apparel and Accessories Industry
Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)." Harvard Business School Supplement 224-024, September 2023.
- August 2023 (Revised December 2023)
- Case
Automating Morality: Ethics for Intelligent Machines
By: Joseph L. Badaracco Jr. and Tom Quinn
As autonomy became a more significant part of modern life – most notably in autonomous vehicles (AVs), such as Teslas – ethical debates about whether and how to impart ethics to machines heated up. Utilitarians pointed out that autonomous vehicles crashed much less...
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Keywords:
Cost vs Benefits;
Judgments;
Fairness;
Moral Sensibility;
Values and Beliefs;
Cross-Cultural and Cross-Border Issues;
Disruptive Innovation;
Technology Adoption;
Risk and Uncertainty;
Cognition and Thinking;
Technological Innovation;
Auto Industry;
Technology Industry;
Africa;
Asia;
Europe;
North and Central America;
Oceania;
South America
Badaracco, Joseph L., Jr., and Tom Quinn. "Automating Morality: Ethics for Intelligent Machines." Harvard Business School Case 324-007, August 2023. (Revised December 2023.)
- August 2023 (Revised March 2024)
- Case
Raya Partners: Profitability and Purpose
By: Arthur Segel, Ephraim Mernick and Olivia Barba
Raya Partners, a private equity firm, faces a crucial decision regarding Asa Specialty Coatings Company (ASCC). The dilemma involves shifting ASCC's manufacturing operations to Mexico, a move that would boost profitability and reduce emissions but result in significant...
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Segel, Arthur, Ephraim Mernick, and Olivia Barba. "Raya Partners: Profitability and Purpose." Harvard Business School Case 224-014, August 2023. (Revised March 2024.)
- 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
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider...
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Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- March 2023 (Revised April 2023)
- Case
Independent Governance of Meta’s Social Spaces: The Oversight Board
Julie Owono is a member of the Oversight Board, an outside entity with the authority to make binding decisions on tricky moderation questions for Meta's companies. She considers the Board's impact, and its future.
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Keywords:
Business and Government Relations;
Social Media;
Fairness;
Governing and Advisory Boards;
Technology Industry;
Communications Industry
Shapiro, Jesse M., Natalia Rigol, Benjamin N. Roth, and William R. Kerr. "Independent Governance of Meta’s Social Spaces: The Oversight Board." Harvard Business School Case 823-111, March 2023. (Revised April 2023.)
- March 2023 (Revised March 2024)
- Case
The Purdue Pharma Bankruptcy: Settling the Opioid Crisis
By: Kristin Mugford, Carin-Isabel Knoop and Susan Pinckney
How to get to a fair outcome for claimants in the Purdue Pharma bankruptcy given its significant role in the U.S. opioid crisis.
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Keywords:
Regulation;
Ethics;
Fairness;
Insolvency and Bankruptcy;
Government Legislation;
Courts and Trials;
Laws and Statutes;
Lawsuits and Litigation;
Legal Liability;
Crime and Corruption;
Negotiation Offer;
Negotiation Participants;
Negotiation Style;
Product Design;
Product Development;
Brands and Branding;
Marketing Strategy;
Trust;
Government and Politics;
Law;
Negotiation;
Operations;
Ownership;
Marketing;
Social Psychology;
Health Care and Treatment;
Pharmaceutical Industry;
United States
Mugford, Kristin, Carin-Isabel Knoop, and Susan Pinckney. "The Purdue Pharma Bankruptcy: Settling the Opioid Crisis." Harvard Business School Case 223-060, March 2023. (Revised March 2024.)
- February 2024
- Article
An Economic Framework for Vaccine Prioritization
By: Mohammad Akbarpour, Eric Budish, Piotr Dworczak and Scott Duke Kominers
We propose an economic framework for determining the optimal allocation of a scarce supply of vaccines that become gradually available during a public health crisis, such as the Covid-19 pandemic. Agents differ in observable and unobservable characteristics, and the...
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Keywords:
Vaccine;
Fairness;
Public Finance;
Public Goods;
Allocation Problems;
Allocative Efficiency;
Allocation Rules;
Social Welfare;
Pandemics;
Inequality;
COVID-19;
COVID-19 Pandemic;
Public Sector;
Resource Allocation;
Market Design;
Marketplace Matching;
Public Administration Industry
Akbarpour, Mohammad, Eric Budish, Piotr Dworczak, and Scott Duke Kominers. "An Economic Framework for Vaccine Prioritization." Quarterly Journal of Economics 139, no. 1 (February 2024): 359–417. (Authors' names are in certified random order.)
- Working Paper
Group Fairness in Dynamic Refugee Assignment
By: Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt and Wentao Weng
Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic
location within a host country to which the refugee or asylum seeker is...
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Freund, Daniel, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, and Wentao Weng. "Group Fairness in Dynamic Refugee Assignment." Harvard Business School Working Paper, No. 23-047, February 2023.
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and...
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Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2022
- Working Paper
Coordination and Incumbency Advantage in Multi-Party Systems: Evidence from French Elections
By: Kevin Dano, Francesco Ferlenga, Vincenzo Galasso, Caroline Le Pennec and Vincent Pons
In theory, free and fair elections can improve the selection of politicians and incentivize them to exert effort. In practice, incumbency advantage and coordination issues may lead to the (re)election of bad politicians. We ask whether these two forces compound each...
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Keywords:
Political Parties;
Incumbent Politicians;
Democracy;
Political Elections;
Competitive Advantage
Dano, Kevin, Francesco Ferlenga, Vincenzo Galasso, Caroline Le Pennec, and Vincent Pons. "Coordination and Incumbency Advantage in Multi-Party Systems: Evidence from French Elections." NBER Working Paper Series, No. 30541, October 2022.