Filter Results
:
(656)
Show Results For
-
All HBS Web
(4,588)
- Faculty Publications (656)
Show Results For
-
All HBS Web
(4,588)
- Faculty Publications (656)
FIELD →
Page 1 of
656
Results
→
- 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.
- September–October 2024
- Article
Should a Family Business Accept a Returning Daughter’s Radical Proposal?
By: John D. Macomber
A family-owned and controlled conglomerate in Cote d'Ivoire, West Africa, has to decide what titles and authority to give to a daughter who is being courted to leave a promising career in Europe to come back and join the business. The choices of role range from an...
View Details
Keywords:
Succession Planning;
Power Grid;
Family Business;
Management Succession;
Emerging Markets;
Business Strategy;
Agriculture and Agribusiness Industry;
Côte d'Ivoire
Macomber, John D. "Should a Family Business Accept a Returning Daughter’s Radical Proposal?" R2045M. Harvard Business Review (September–October 2024): 156–161.
- September 2024
- Article
A Potential Pitfall of Passion: Passion Is Associated with Performance Overconfidence
By: Erica R. Bailey, Kai Krautter, Wen Wu, Adam D. Galinsky and Jon M. Jachimowicz
Having passion is almost universally lauded. People strive to follow their passion at work, and organizations increasingly seek out passionate employees. Supporting the benefits of passion, prior research finds a robust relationship between passion and higher levels of...
View Details
Bailey, Erica R., Kai Krautter, Wen Wu, Adam D. Galinsky, and Jon M. Jachimowicz. "A Potential Pitfall of Passion: Passion Is Associated with Performance Overconfidence." Social Psychological & Personality Science 15, no. 7 (September 2024): 769–779.
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO
communication? This study investigates whether AI can mimic a human CEO and whether employees’
perception of the communication’s source matter. In a field...
View Details
Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024.
- August 2024
- Case
Iogen: Decarbonizing Hard-to-Abate Sectors
By: George Serafeim, Charlotte Foody and John Mulliken
Brian Foody, CEO of Iogen Corporation, was an early leader in advanced biofuels, developing a range of technologies to transform agricultural waste into transportation fuel. With $100 million in revenue and 350 patents across various biofuel technologies, Iogen was...
View Details
Keywords:
Technology;
Biofuel;
Market Attractiveness;
Strategy;
Decarbonization;
Sustainability;
Technological Innovation;
Climate Change;
Energy;
Energy Industry;
United States;
United Kingdom
Serafeim, George, Charlotte Foody, and John Mulliken. "Iogen: Decarbonizing Hard-to-Abate Sectors." Harvard Business School Case 125-037, August 2024.
- August 2024
- Course Overview Note
Field Course: Life Sciences Venture Creation Fall Term 2024 - Course Outline and Syllabus
By: Satish Tadikonda and William Marks
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay...
View Details
Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
- 2024
- Working Paper
Pitch Perfect: Investing in Transportable Presentation Skills to Support Poly-vocal Personae
By: James Riley and Susan S. Silbey
For organizations requiring independent and creative thinking skills for complex problem-solving, especially within a multi-disciplinary pool of collaborators, conventional socialization practices flattening individuality for the sake of uniformity is not necessarily...
View Details
- August 20, 2024
- Article
Sexual Assault Victims Face a Penalty for Adjacent Consent
By: Jillian J. Jordan and Roseanna Sommers
Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a...
View Details
Jordan, Jillian J., and Roseanna Sommers. "Sexual Assault Victims Face a Penalty for Adjacent Consent." Proceedings of the National Academy of Sciences 121, no. 34 (August 20, 2024).
- Working Paper
The Returns to Skills During the Pandemic: Experimental Evidence from Uganda
By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini
The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in...
View Details
Keywords:
COVID-19 Pandemic;
System Shocks;
Labor;
Competency and Skills;
Development Economics;
Uganda
Alfonsi, Livia, Vittorio Bassi, Imran Rasul, and Elena Spadini. "The Returns to Skills During the Pandemic: Experimental Evidence from Uganda." Harvard Business School Working Paper, No. 25-003, August 2024. (NBER Working Paper Series, No. 32785, August 2024.)
- 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.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
View Details
Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- July 2024
- Case
Gates Ventures: Making Alzheimer's a Forgotten Past
By: Satish Tadikonda, William Marks, Shardule Shah and Calvin Marambo
After a personal journey and interest in Alzheimer's Disease (AD) by Bill Gates, Gates Ventures set out to find the best way to accelerate innovation in the field of AD. In partnership with the Alzheimer's Drug Discovery Foundation, Gates Ventures created the...
View Details
Tadikonda, Satish, William Marks, Shardule Shah, and Calvin Marambo. "Gates Ventures: Making Alzheimer's a Forgotten Past." Harvard Business School Case 824-075, July 2024.
- July 2024
- Article
Whether to Apply
By: Katherine B. Coffman, Manuela Collis and Leena Kulkarni
Labor market outcomes depend, in part, upon an individual’s willingness to put herself forward for different opportunities. We use a series of experiments to explore gender differences in willingness to apply for higher return, more challenging work. We find that, in...
View Details
Coffman, Katherine B., Manuela Collis, and Leena Kulkarni. "Whether to Apply." Management Science 70, no. 7 (July 2024): 4649–4669.
- June 2024 (Revised September 2024)
- Case
Major League Baseball: Changing the Rules of America’s Pastime
By: Stephen A. Greyser, Mac Levin and Brent Schwarz
This case describes the efforts of Major League Baseball (MLB) to make meaningful changes in the rules affecting the ways the game is played. These changes are intended to speed the pace of the game and make it more appealing to younger fans. The principal changes...
View Details
Greyser, Stephen A., Mac Levin, and Brent Schwarz. "Major League Baseball: Changing the Rules of America’s Pastime." Harvard Business School Case 924-307, June 2024. (Revised September 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.
- 2024
- Working Paper
Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able...
View Details
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics." Harvard Business School Working Paper, No. 24-074, June 2024.
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever...
View Details
Keywords:
Factorial Designs;
Fisher Randomizations;
Rank Estimators;
Employer Interventions;
Causal Inference;
Mathematical Methods;
Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- 2024
- Working Paper
Immigrant Entrepreneurship: New Estimates and a Research Agenda
By: Saheel Chodavadia, Sari Pekkala Kerr, William R. Kerr and Louis Maiden
Immigrants contribute disproportionately to entrepreneurship in many countries, accounting for a quarter of new employer businesses in the US. We review recent research on the measurement of immigrant entrepreneurship, the traits of immigrant founders, their economic...
View Details
Keywords:
Immigrant Employment;
Immigration;
Entrepreneurship;
Demographics;
Innovation and Invention
Chodavadia, Saheel, Sari Pekkala Kerr, William R. Kerr, and Louis Maiden. "Immigrant Entrepreneurship: New Estimates and a Research Agenda." Harvard Business School Working Paper, No. 24-068, April 2024.
- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated...
View Details
Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.