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(1,171)
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- Faculty Publications (90)
Show Results For
- All HBS Web
(1,171)
- People (13)
- News (391)
- Research (407)
- Events (8)
- Multimedia (12)
- Faculty Publications (90)
- 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.
- March 2008
- Article
Is Yours a Learning Organization?
By: David A. Garvin, Amy C. Edmondson and Francesca Gino
This article includes a one-page preview that quickly summarizes the key ideas and provides an overview of how the concepts work in practice along with suggestions for further reading. An organization with a strong learning culture faces the unpredictable deftly.... View Details
Keywords: Interpersonal Communication; Learning; Surveys; Leading Change; Management Analysis, Tools, and Techniques; Organizational Culture
Garvin, David A., Amy C. Edmondson, and Francesca Gino. "Is Yours a Learning Organization?" Harvard Business Review 86, no. 3 (March 2008): 109–116.
- April 2011
- Article
Why Leaders Don't Learn from Success
By: Francesca Gino and Gary P. Pisano
We argue that for a variety of psychological reasons, it is often much harder for leaders and organizations to learn from success than to learn from failure. Success creates three kinds of traps that often impede deep learning. The first is attribution error or the... View Details
Keywords: Learning; Innovation and Management; Leadership; Failure; Success; Performance Evaluation; Prejudice and Bias
Gino, Francesca, and Gary P. Pisano. "Why Leaders Don't Learn from Success." Harvard Business Review 89, no. 4 (April 2011): 68–74.
- 06 Aug 2007
- Research & Ideas
High Hills, Deep Poverty: Explaining Civil War in Nepal
Civil wars have been the dominant form of conflict around the world since World War II, resulting in approximately 20 million deaths. But it's not just sociologists who are diving into the roots of conflict. Increasingly, economists are examining these events to View Details
Keywords: by Martha Lagace
- Web
Lifelong Learning - Alumni
free coaching sessions per year, including self-assessment, interviewing prep, and offer negotiation tips. Keep Learning with Alumni Virtual Programs Expand your knowledge and skills with online programs led by HBS faculty and other... View Details
- June 2019
- Article
Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes
By: Kathleen L. McGinn, Mayra Ruiz Castro and Elizabeth Long Lingo
Analyses relying on two international surveys from over 100,000 men and women across 29 countries explore the relationship between maternal employment and adult daughters’ and sons’ employment and domestic outcomes. In the employment sphere, adult daughters, but not... View Details
Keywords: Female Labor Force Participation; Gender Attitudes; Household Labor; Maternal Employment; Social Class; Social Learning Theory; Social Mobility; Employment; Gender; Attitudes; Household; Labor; Learning; Outcome or Result
McGinn, Kathleen L., Mayra Ruiz Castro, and Elizabeth Long Lingo. "Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes." Work, Employment and Society 33, no. 3 (June 2019): 374–400.
- Blog
When Generations Learn Together
Venture Capital, and we had a great experience. We reviewed cases and learned from our assigned teams, but also talked between and after classes to share ideas with each other. I thought the material might be duplicative of what my day... View Details
- 22 Feb 2022
- News
Vision: Learning Curve
more effective teachers. “There’s a big opportunity to really upscale and certify them,” Gupta says. At the same time, Rocket provides educational tools and content that teachers can share with parents to reinforce foundational skills at... View Details
- Web
Shaping the Learning Environment - Christensen Center for Teaching & Learning
Teaching by the Case Method Shaping the Learning Environment Preparing to Teach Getting Started Developing Instructor Style Shaping the Learning Environment Knowing Your Students Planning a Class Session... View Details
- 15 Nov 2006
- Research & Ideas
Lessons Not Learned About Innovation
be rediscovered in each managerial generation (about every six years) as a fundamental way to enable new growth. But each generation seems to have forgotten or never learned the mistakes of the past, so we see classic traps repeated over... View Details
Keywords: by Sean Silverthorne
- May 2022 (Revised July 2022)
- Case
The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022
By: David B. Yoffie and Daniel Fisher
In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details
Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States
Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022. (Revised July 2022.)
- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details
Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- April 2011
- Article
What Can We Learn from 'Great Negotiations'?
What can one legitimately learn-analytically and/or prescriptively-from detailed historical case studies of "great negotiations," chosen more for their salience than their analytic characteristics or comparability? Taking a number of such cases compiled by Stanton... View Details
Keywords: Learning; International Relations; History; Agreements and Arrangements; Negotiation Process; Conflict and Resolution
Sebenius, James K. "What Can We Learn from 'Great Negotiations'?" Negotiation Journal 27, no. 2 (April 2011).
Learning to Successfully Hire in Online Labor Markets
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value... View Details
- TeachingInterests
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- 13 Dec 2018
- Video
Learn more about Research Associates at HBS
- 13 Dec 2018
- Video