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(6,764)
- News (1,201)
- Research (4,392)
- Events (115)
- Multimedia (62)
- Faculty Publications (3,011)
Show Results For
- All HBS Web
(6,764)
- News (1,201)
- Research (4,392)
- Events (115)
- Multimedia (62)
- Faculty Publications (3,011)
- January 2000 (Revised September 2002)
- Case
Hitting the Wall: Nike and International Labor Practices
By: Debora L. Spar and Jennifer Burns
In the mid-1990s Nike, one of the world's most successful footwear companies, is hit by a spate of alarmingly bad publicity. After years of high-profile media attention as the company that can "just do it," Nike is suddenly being portrayed as a firm that relies on... View Details
Spar, Debora L., and Jennifer Burns. "Hitting the Wall: Nike and International Labor Practices." Harvard Business School Case 700-047, January 2000. (Revised September 2002.)
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- 21 May 2019
- News
Making Change Payments, Perspectives, and Politics
- December 1998
- Article
Entrepreneurs and Business Performance in Nineteenth Century France
By: Tom Nicholas, Elisa Boccaletti and James Foreman-Peck
A popular explanation for the supposed "delayed industrialisation" of the nineteenth century French economy has been the inappropriate attitudes and actions of the managerial classes and family firms. To address these claims we model the supply and demand for... View Details
Keywords: Entrepreneurship; Performance; Economy; Management; Success; Opportunities; Management Analysis, Tools, and Techniques; Saving; Higher Education; Training; Demand and Consumers; France
Nicholas, Tom, Elisa Boccaletti, and James Foreman-Peck. "Entrepreneurs and Business Performance in Nineteenth Century France." European Review of Economic History (December 1998).
- 2008
- Working Paper
Inexperienced Investors and Bubbles
By: Robin Greenwood and Stefan Nagel
We use mutual fund manager data from the technology bubble to examine the hypothesis that inexperienced investors play a role in the formation of asset price bubbles. Using age as a proxy for managers' investment experience, we find that around the peak of the... View Details
Keywords: Investment; Stocks; Information Technology; Price Bubble; Asset Management; Experience and Expertise
Greenwood, Robin, and Stefan Nagel. "Inexperienced Investors and Bubbles." NBER Working Paper Series, No. 14111, June 2008.
- Article
Learning Through Noticing: Theory and Evidence from a Field Experiment
By: Rema Hanna, Sendhil Mullainathan and Joshua Schwartzstein
We consider a model of technological learning under which people "learn through noticing": they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may... View Details
Hanna, Rema, Sendhil Mullainathan, and Joshua Schwartzstein. "Learning Through Noticing: Theory and Evidence from a Field Experiment." Quarterly Journal of Economics 129, no. 3 (August 2014): 1311–1353. (Online Appendix.)
- Research Summary
The Ownership and Trading of Debt Claims in Chapter 11 Restructurings (with Victoria Ivashina and David Smith)
This paper explores a novel data set that identifies over 71,000 investors holding debt claims of 136 companies filing for U.S. Chapter 11 bankruptcy protection during the period of 1998 through 2009. We investigate how concentration in debt ownership relates to... View Details
- 2017
- Working Paper
The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond
By: Josh Lerner
Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond." Harvard Business School Working Paper, No. 18-042, November 2017.
- July 2014
- Article
Diasporas and Outsourcing: Evidence from oDesk and India
By: Ejaz Ghani, William R. Kerr and Christopher Stanton
This study examines the role of the Indian diaspora in the outsourcing of work to India. Our data are taken from oDesk, the world's largest online platform for outsourced contracts, where India is the largest country in terms of contract volume. We use an ethnic name... View Details
Keywords: Diaspora; Outsourcing; oDesk; Networks; Job Cuts and Outsourcing; Diasporas; Internet and the Web; Ethnicity; Service Industry; South Asia; India
Ghani, Ejaz, William R. Kerr, and Christopher Stanton. "Diasporas and Outsourcing: Evidence from oDesk and India." Management Science 60, no. 7 (July 2014): 1677–1697.
- February 2012
- Article
CEO Relational Leadership and Strategic Decision Quality in Top Management Teams: The Role of Team Trust and Learning from Failure
By: Abraham Carmeli, Asher Tishler and Amy C. Edmondson
In this study, we examine a complex pathway through which CEOs, who exhibit relational leadership, may improve the quality of strategic decisions of their top management teams (TMTs) by creating psychological conditions of trust and facilitating learning from failures... View Details
Keywords: Leadership Development; Decisions; Management Teams; Trust; Learning; Management Analysis, Tools, and Techniques; Managerial Roles; Failure
Carmeli, Abraham, Asher Tishler, and Amy C. Edmondson. "CEO Relational Leadership and Strategic Decision Quality in Top Management Teams: The Role of Team Trust and Learning from Failure." Strategic Organization 10, no. 1 (February 2012).
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- September 2023
- Supplement
Design and Evaluation of Targeted Interventions
By: Eva Ascarza
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
- April 2004
- Tutorial
Yield Curves and Bond Ratings Tutorial
To preview this online product, Authorized Faculty can call our customer service department at 1-800-545-7685 or 617-783-7600. This online tutorial explains what drives the shape of the yield curve for traded debt securities. Also describes the metrics used by rating... View Details
- August 2009
- Article
Inexperienced Investors and Bubbles
By: Robin Greenwood and Stefan Nagel
We use mutual fund manager data from the technology bubble to examine the hypothesis that inexperienced investors play a role in the formation of asset price bubbles. Using age as a proxy for managers' investment experience, we find that around the peak of the... View Details
Keywords: Asset Price Bubbles; Investment Experience; Investor Age; Trend Chasing; Investment; Experience and Expertise; Age; Behavioral Finance; Price Bubble; Information Technology; Stocks
Greenwood, Robin, and Stefan Nagel. "Inexperienced Investors and Bubbles." Journal of Financial Economics 93, no. 2 (August 2009): 239–258. (formerly NBER Working Paper No. 14111, June 2008.)
- 22 Jun 2021
- Research & Ideas
The COVID-19 Mutiny: When Teams Leave and Take Their Clients
Jones Industrial Average soared amid a “bonkers” real estate market. Professionals have been looking around, and recruiters have data and stories to grab even the most... View Details
- 2021
- Working Paper
Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic... View Details
Keywords: Time Preferences; Present Bias; Hyperbolic Discounting; Compensation; Dynamic Structural Models; Identification; Time Management; Motivation and Incentives; Behavior; Performance; Compensation and Benefits
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling." Harvard Business School Working Paper, No. 21-121, April 2021.
- September 2015
- Article
Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago
By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.
Objective
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago
Kho, Abel, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers, and et al. "Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago." Journal of the American Medical Informatics Association 22, no. 5 (September 2015): 1072–1080.