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- October 2024
- Teaching Plan
Teamworks: Tackling a Forecasting Fumble
By: Lou Shipley and Stacy Straaberg
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
- October 18, 2024
- Article
Why Workplace Well-Being Programs Don’t Achieve Better Outcomes
By: Jazz Croft, Acacia Parks and Ashley Whillans
By 2026, global corporate spending on wellness programs is set to top $94.6 billion, yet anticipated improvements in well-being are not being realized,
and, in fact, mental health needs are continuing to rise around the world. Drawing on a large body of recent... View Details
Croft, Jazz, Acacia Parks, and Ashley Whillans. "Why Workplace Well-Being Programs Don’t Achieve Better Outcomes." Harvard Business Review Digital Articles (October 18, 2024).
- 2024
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp
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... View Details
De Freitas, Julian, Noah Castelo, Ahmet Uğuralp, and Zeliha Uğuralp. "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... View Details
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... View Details
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.
- October 2024
- Article
How to Use Sales Assessments
Judging a person’s fit for a sales job is complex, and research shows that managers greatly overrate their ability to predict someone’s performance on the basis of interviews. Hence, using assessments is a growing trend in sales hiring and training. This article... View Details
Cespedes, Frank V. "How to Use Sales Assessments." Top Sales Magazine (October 2024), 10–11.
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
- 2024
- Working Paper
Ponzi Funds
By: Philippe van der Beck, Jean-Philippe Bouchaud and Dario Villamaina
Many active funds hold concentrated portfolios. Flow-driven trading causes price pressure, which
pushes up the funds’ existing positions resulting in realized returns. We decompose fund returns
into a price pressure (self-inflated) and a fundamental component and... View Details
Keywords: Investment Funds; Investment Portfolio; Investment Return; Price Bubble; Financial Reporting; Financial Liquidity
van der Beck, Philippe, Jean-Philippe Bouchaud, and Dario Villamaina. "Ponzi Funds." Working Paper, May 2024.
- September 2024 (Revised October 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 a 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... View Details
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
Greenwood, Robin, Richard S. Ruback, and Robert Ialenti. "River Remedy: Navigating Mississippi’s Medical Marijuana Market." Harvard Business School Case 225-011, September 2024. (Revised October 2024.)
- 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... View Details
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... View Details
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 (Revised November 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... View Details
Keywords: Disruption; Cost vs Benefits; Forecasting and Prediction; Lawfulness; Failure; System Shocks; United States
White, Robert F., and Tom Quinn. "No Labels and the 2024 Presidential Insurance Plan." Harvard Business School Case 825-044, August 2024. (Revised November 2024.)
- 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... View Details
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... View Details
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... View Details
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... View Details
- 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... View Details
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... View Details
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... View Details
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... View Details
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.