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- All HBS Web (114)
- Faculty Publications (34)
Show Results For
- All HBS Web (114)
- Faculty Publications (34)
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- Article
The Unprecedented Stock Market Reaction to COVID-19
By: Scott Baker, Nicholas Bloom, Steven J. Davis, Kyle Kost, Marco Sammon and Tasaneeya Viratyosin
No previous infectious disease outbreak, including the Spanish Flu, has impacted the stock market as forcefully as the COVID-19 pandemic. In fact, previous pandemics left only mild traces on the U.S. stock market. We use text-based methods to develop these points with... View Details
Baker, Scott, Nicholas Bloom, Steven J. Davis, Kyle Kost, Marco Sammon, and Tasaneeya Viratyosin. "The Unprecedented Stock Market Reaction to COVID-19." Review of Asset Pricing Studies 10, no. 4 (December 2020): 742–758.
- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2025
- Working Paper
Home Sweet Home: How Much Do Employees Value Remote Work?
By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
Cullen, Zoë B., Bobak Pakzad-Hurson, and Ricardo Perez-Truglia. "Home Sweet Home: How Much Do Employees Value Remote Work?" NBER Working Paper Series, No. 33383, January 2025.
- Article
Valuation Waves and Merger Activity: The Empirical Evidence
By: Matthew Rhodes-Kropf, David Robinson and S. Viswanathan
To test recent theories suggesting that valuation errors affect merger activity, we develop a decomposition that breaks the market-to-book ratio (M/B) into three components: the firm-specific pricing deviation from short-run industry pricing; sector-wide, short-run... View Details
Rhodes-Kropf, Matthew, David Robinson, and S. Viswanathan. "Valuation Waves and Merger Activity: The Empirical Evidence." Journal of Financial Economics 77, no. 3 (September 2005): 561–603.
- Article
Diverging Trends in Macro and Micro Volatility
By: Diego Comin and Sunil Mulani
This paper documents the diverging trends in volatility of the growth rate of sales at the aggregate and firm level. We establish that the upward trend in micro volatility is not simply driven by a compositional bias in the sample studied. We argue that this new fact... View Details
Comin, Diego, and Sunil Mulani. "Diverging Trends in Macro and Micro Volatility." Review of Economics and Statistics 88, no. 2 (May 2006).
- February 2021
- Tutorial
What is AI?
By: Tsedal Neeley
This video explores the elements that constitute artificial intelligence (AI). From its mathematical basis to current advances in AI, this video introduces students to data, tools, and statistical models that make a computer 'intelligent.' Through an explanation of... View Details
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- 2019
- Working Paper
Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving
By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s... View Details
- 29 Oct 2013
- First Look
First Look: October 29
in a Chaotic World By: Wheeler, Michael Abstract—A member of the world-renowned Program on Negotiation at Harvard Law School introduces the powerful next-generation approach to negotiation. For many years, two approaches to negotiation have prevailed: the... View Details
Keywords: Sean Silverthorne
- July 2006
- Article
Bringing History (Back) into International Business
By: G. Jones and Tarun Khanna
We argue that the field of international business should evolve its rhetoric from the relatively uncontroversial idea that 'history matters' to exploring how it matters. We discuss four conceptual channels through which history matters, illustrating each with a major... View Details
Jones, G., and Tarun Khanna. "Bringing History (Back) into International Business." Journal of International Business Studies 37, no. 4 (July 2006): 453–468.
- 01 Nov 2012
- HBS Seminar
Joel Waldfogel, University of Minnesota
- 2021
- Book
Harvard Business Review Family Business Handbook: How to Build and Sustain a Successful, Enduring Enterprise
By: Josh Baron and Rob Lachenauer
Navigate the complex decisions and critical relationships necessary to create and sustain a healthy family business--and business family. Though "family business" may sound like it refers only to mom-and-pop shops, businesses owned by families are among the most... View Details
Keywords: Family Business; Entrepreneurship; Family and Family Relationships; Outcome or Result; Business Model; Conflict and Resolution; Organizational Culture
Baron, Josh, and Rob Lachenauer. Harvard Business Review Family Business Handbook: How to Build and Sustain a Successful, Enduring Enterprise. Harvard Business Review Press, 2021.
- 23 Jan 2007
- First Look
First Look: January 23, 2007
avoid even the most modest of practices that they considered inappropriate. Explores the practices and methods that Infosys adopted instead, considers their costs, benefits, and generalizability, and contextualizes the problem within... View Details
Keywords: Martha Lagace
- May 2018
- Article
Selection and Market Reallocation: Productivity Gains from Multinational Production
By: Laura Alfaro and Maggie X. Chen
Assessing the productivity gains from multinational production has been a vital topic of economic research and policy debate. Positive aggregate productivity gains are often attributed to within-firm productivity improvement; however, an alternative, less emphasized... View Details
Keywords: Productivity Gains; Multinational Production; Selection; Market Reallocation; And Within-firm Productivity; Multinational Firms and Management; Production; Performance Productivity; Competition; Mathematical Methods
Alfaro, Laura, and Maggie X. Chen. "Selection and Market Reallocation: Productivity Gains from Multinational Production." American Economic Journal: Economic Policy 10, no. 2 (May 2018): 1–38. (Also NBER Working Paper 18207. See Harvard Business School Working Paper, No. 12–111, 2015 for longer version.)
- 23 Mar 2012
- HBS Seminar
Dan Kahan, Professor of Law and Professor of Psychology at Yale Law School
- 21 May 2013
- First Look
First Look: May 21
methods and to make decisions on quantitative analysis. This book offers a variety of practical tools and examples to improve a manager's understanding of business analytics, and to enhance their thinking and decision processes.... View Details
Keywords: Sean Silverthorne
- 16 Sep 2008
- First Look
First Look: September 16, 2008
Comparative Treatment of Business Method and Software Patents in the United States and European Union Harvard Business School Note 309-023 This note analyses and compares the legal definitions and practical applications of Business View Details
- 19 Dec 2006
- First Look
First Look: December 19, 2006
on two validation databases. The results suggest several important findings. First, methods do matter. The differences observed in predictive accuracy across submissions could change the profitability of a churn management campaign by... View Details
Keywords: Sean Silverthorne
- 31 Jan 2017
- First Look
First Look at New Research: January 31, 2017
democracy as well as its resilience over time. The book adapts the case method to revitalize conversations about governance and democracy and show how the United States has often thrived on political conflict. Each of the book’s nineteen... View Details
Keywords: Carmen Nobel