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- 2024
- Working Paper
Lessons From an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet K Uguralp and Zeliha O Uguralp
Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We
leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed
light on these questions. We find that customers feel closer to their AI companion...
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De Freitas, Julian, Noah Castelo, Ahmet K Uguralp, and Zeliha O Uguralp. "Lessons From an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024.
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that...
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Keywords:
Churn;
Churn Management;
Churn/retention;
Assortment Planning;
Retail;
Retailing;
Retailing Industry;
Preference Heterogeneity;
Assortment Optimization;
Customers;
Retention;
Consumer Behavior;
Forecasting and Prediction;
Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- October 2024
- Article
Founder-CEO Compensation and Selection into Venture Capital-Backed Entrepreneurship
By: Michael Ewens, Ramana Nanda and Christopher Stanton
We show theoretically that a critical determinant of the attractiveness of VC-backed entrepreneurship for high-earning potential founders is the expected time to develop a startup’s initial product. This is because founder-CEOs’ cash compensation increases...
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Ewens, Michael, Ramana Nanda, and Christopher Stanton. "Founder-CEO Compensation and Selection into Venture Capital-Backed Entrepreneurship." Journal of Finance 79, no. 5 (October 2024): 3361–3405.
- September 2024 (Revised September 2024)
- Case
River Remedy: Navigating Mississippi’s Medical Marijuana Market
By: Robin Greenwood, Richard S. Ruback and Robert Ialenti
MBA student William Chism, the founder of fully integrated medical marijuana company based in Mississippi, must respond to a significant disruption in the fledgling industry. In late 2023, Rapid Analytics, one of two active licensed testing facilities, has its...
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Keywords:
Plant-Based Agribusiness;
Business Growth and Maturation;
Forecasting and Prediction;
Microeconomics;
Local Range;
Government Legislation;
Demand and Consumers;
Supply and Industry;
Competition;
Competitive Strategy;
Agriculture and Agribusiness Industry;
Consumer Products Industry;
Mississippi
- 2024
- Working Paper
Finance Without Exotic Risk
By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer
We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any...
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Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can...
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Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- August 2024
- Case
No Labels and the 2024 Presidential Insurance Plan
By: Robert F. White and Tom Quinn
After observing record voter dissatisfaction with the choices in the 2024 U.S. presidential election – Democratic nominee President Joe Biden and Republican nominee and former President Donald Trump – the bipartisan nonprofit No Labels decided to reserve ballot access...
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- July 2024
- Case
Jacqueline Cook at Vendasta: Debating an IPO
By: Reza Satchu, Tom Quinn and Andrew Kosc
In May 2021, after a surge in demand for digital services that prompted high valuations for startups across the Canadian tech sector, Saskatchewan-based Vendasta entered the final stages of the initial public offering (IPO) process. COO Jacqueline Cook had invested her...
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Keywords:
Business Growth and Maturation;
Business Startups;
Interpersonal Communication;
Cost vs Benefits;
Forecasting and Prediction;
Business Cycles;
Entrepreneurship;
Fairness;
Capital Markets;
Private Equity;
Investment Banking;
Stock Options;
Financial Markets;
Initial Public Offering;
Institutional Investing;
Price Bubble;
Digital Platforms;
Digital Transformation;
Internet and the Web;
Leadership;
Growth and Development Strategy;
Managerial Roles;
Agreements and Arrangements;
Going Public;
Ownership Stake;
Performance Expectations;
Work-Life Balance;
Strategic Planning;
Business and Stakeholder Relations;
Rank and Position;
Risk and Uncertainty;
Opportunities;
Happiness;
Reputation;
Status and Position;
Well-being;
Information Technology Industry;
Retail Industry;
Canada
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety...
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Keywords:
Autonomy;
Chatbots;
New Technology;
Brand Crises;
Mental Health;
Large Language Model;
AI and Machine Learning;
Behavior;
Well-being;
Technological Innovation;
Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- 2024
- Working Paper
How Inflation Expectations De-Anchor: The Role of Selective Memory Cues
By: Nicola Gennaioli, Marta Leva, Raphael Schoenle and Andrei Shleifer
In a model of memory and selective recall, household inflation expectations remain rigid when inflation is anchored but exhibit sharp instability during inflation surges, as similarity prompts retrieval of forgotten high-inflation experiences. Using data from the New...
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Gennaioli, Nicola, Marta Leva, Raphael Schoenle, and Andrei Shleifer. "How Inflation Expectations De-Anchor: The Role of Selective Memory Cues." NBER Working Paper Series, No. 32633, June 2024.
- June 2024
- Teaching Note
Roku 2021
By: David B. Yoffie
Teaching Note for HBS Case No. 721-480. This case is used to explore the strategic concept of "look forward, reason back." Roku in 2021 is trying to figure out the future of television and streaming media. Students are asked to provide a vision for television and...
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- June 2024
- Case
Vinalhaven: The Downtown Project
By: Richard S. Ruback, Matthew Preble, Ruth Page and Dave Habeeb
Vinalhaven is an island community located approximately 12 miles off the coast of Maine. The island has a year-round population of about 1,300 people as of 2022, with an additional 3,000 people who reside on the island in the summer months. The two largest industries...
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Keywords:
Climate Change;
Environmental Regulation;
Environmental Sustainability;
Natural Resources;
Natural Environment;
Weather;
Sustainable Cities;
Forecasting and Prediction;
Construction;
Property;
Infrastructure;
Capital Budgeting;
Projects;
Project Finance;
Negotiation;
United States;
Maine
Ruback, Richard S., Matthew Preble, Ruth Page, and Dave Habeeb. "Vinalhaven: The Downtown Project." Harvard Business School Multimedia/Video Case 224-735, June 2024.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets...
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Keywords:
Heterogeneous Treatment Effect;
Multi-task Learning;
Representation Learning;
Personalization;
Promotion;
Deep Learning;
Field Experiments;
Customer Focus and Relationships;
Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- June 2024
- Article
Going Digital: Implications for Firm Value and Performance
By: Wilbur Chen and Suraj Srinivasan
We examine firm value and performance implications of the growing trend of non-technology companies engaging in digital transformation. We measure digital activities in firms based on the disclosure of digital words in the business description section of 10-Ks. Digital...
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Keywords:
Digital Technologies;
Valuation;
Return Predictability;
Financial Statement Analysis;
Performance;
Value;
Information Technology
Chen, Wilbur, and Suraj Srinivasan. "Going Digital: Implications for Firm Value and Performance." Review of Accounting Studies 29, no. 2 (June 2024): 1619–1665.
- June 2024
- Article
The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity
By: Devon Proudfoot, Zachariah Berry, Edward H. Chang and Min B. Kay
Despite mixed evidence for the relationship between demographic diversity and creativity, we propose that observers hold a lay belief that demographic diversity increases creativity and apply this lay belief in judgments about teams and their creative work. Across...
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Proudfoot, Devon, Zachariah Berry, Edward H. Chang, and Min B. Kay. "The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity." Management Science 70, no. 6 (June 2024): 3879–3901.
- 2024
- Working Paper
LASH Risk and Interest Rates
By: Laura Alfaro, Saleem Bahaj, Robert Czech, Jonathan Hazell and Ioana Neamtu
We introduce a framework to understand and quantify a form of liquidity risk that we dub Liquidity After Solvency Hedging or “LASH” risk. Financial institutions take LASH risk when they hedge against losses, using strategies that lead to liquidity needs when the value...
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Keywords:
Liquidity;
Monetary Policy;
Non-bank Intermediaries;
Hedging;
Risk and Uncertainty;
Investment Funds;
Financial Condition;
Interest Rates
Alfaro, Laura, Saleem Bahaj, Robert Czech, Jonathan Hazell, and Ioana Neamtu. "LASH Risk and Interest Rates." Bank of England Staff Working Papers, No. 1,073, May 2024.
- May 2024
- Article
Relational Attributions for One’s Own Resilience Predict Compassion for Others
By: Rachel Ruttan, Ting Zhang, Sivahn Barli and Katherine DeCelles
Existing work on attribution theory distinguishes between external and internal attributions (i.e., “I overcame adversity due to luck” vs. “my own effort”). We introduce the construct of relational resilience attributions (i.e., “due to help from other people”) as a...
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Ruttan, Rachel, Ting Zhang, Sivahn Barli, and Katherine DeCelles. "Relational Attributions for One’s Own Resilience Predict Compassion for Others." Journal of Personality and Social Psychology 126, no. 5 (May 2024): 818–840.
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,...
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Keywords:
AI and Machine Learning;
Forecasting and Prediction;
Working Conditions;
Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions...
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Lietz, Nori Gerardo, and Philipp Chvanov. "Does the Case for Private Equity Still Hold?" Harvard Business School Working Paper, No. 24-066, January 2024.
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),...
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Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.