Filter Results:
(3,386)
Show Results For
- All HBS Web
(3,386)
- People (38)
- News (626)
- Research (1,890)
- Events (27)
- Multimedia (206)
- Faculty Publications (1,411)
Show Results For
- All HBS Web
(3,386)
- People (38)
- News (626)
- Research (1,890)
- Events (27)
- Multimedia (206)
- Faculty Publications (1,411)
- Aug 05 2016
- Short Film
What is Your Best Self?
Isamar Troncoso
Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.
Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details
- June 1984 (Revised October 1988)
- Background Note
Introduction to Cases
Introduces students and executives to the case method and provides a generalized approach to cases. View Details
Keywords: Cases
Shapiro, Benson P. "Introduction to Cases." Harvard Business School Background Note 584-097, June 1984. (Revised October 1988.)
- August 1998 (Revised October 1998)
- Background Note
Note on Lead User Research
By: Stefan H. Thomke and Ashok Nimgade
Describes the Lead User concept and method (step-by-step) with brief examples from industrial practice. View Details
Thomke, Stefan H., and Ashok Nimgade. "Note on Lead User Research." Harvard Business School Background Note 699-014, August 1998. (Revised October 1998.)
- 15 Sep 2003
- Lessons from the Classroom
HBS Cases: Developing the Courage to Act
Harvard Business School professor David A. Garvin has studied the development of the case method of teaching at Harvard's law, business, and medical schools. Garvin wanted to see how the schools are similar and different in their use of... View Details
Keywords: by David A. Garvin
- 09 Feb 2017
- News
All hail partisan politics
- 08 Feb 2016
A Better Way to Teach History
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 23 Jun 2016
- Video
What is Your Best Self?
- Teaching Interest
Immersive Field Course: Decarbonization and Sustainable Production
By: Willy C. Shih
A course looking at pioneering efforts in sustainable production methods and technologies supporting the energy transition. View Details
- 08 Feb 2016
- News
A Better Way to Teach History
- February 10, 2009
- Editorial
Rethinking Our Rules of Organ Donations
Essay argues for presumed consent as a method for reducing wait times for patients undergoing solid organ transplantation. View Details
- 21 May 2014
- Lessons from the Classroom
CORe: HBS Powers Up Online Program on Business Fundamentals
As a Harvard Business School professor for 20 years, V.G. Narayanan has significant experience using the School's pioneering case method to teach business concepts—introducing a real-world management problem, and then using the Socratic... View Details
- 28 May 2020
- Video
Take a Seat in the Harvard MBA Case Classroom
- July–September 2018
- Article
Memory Bias in Observer-Performance Literature
By: Tamara M. Haygood, Samantha N. Smith and Jia Sun
The objective of our study was to determine how authors of published observer–performance experiments dealt with memory bias in study design. We searched American Journal of Roentgenology online and Radiology using “observer study” and “observer performance.” We... View Details
Haygood, Tamara M., Samantha N. Smith, and Jia Sun. "Memory Bias in Observer-Performance Literature." Art. 031412. Journal of Medical Imaging 5, no. 3 (July–September 2018).
- September 2022
- Article
In Search of Scholarly Impact
By: Usha C.V Haley, Cary L. Cooper, Andrew J. Hoffman, Tyrone S. Pitsis and Danna Greenberg
This is an introduction to a special issue on the importance and the methods of scholarly impact in real world issues. View Details
Haley, Usha C.V, Cary L. Cooper, Andrew J. Hoffman, Tyrone S. Pitsis, and Danna Greenberg. "In Search of Scholarly Impact." Academy of Management Learning & Education 21, no. 3 (September 2022): 343–349.
- January 2001
- Case
Abgenix and the XenoMouse
By: Robert J. Dolan
Abgenix has a unique method for generating antibodies useful in treating a number of diseases, including cancer. In early 2000, the company's cancer has performed very well in animal testing and is moving to early stage human testing. Abgenix must decide whether to... View Details
Keywords: Product Development; Marketing Strategy; Health Testing and Trials; Risk and Uncertainty; Technological Innovation; Innovation Strategy; Science-Based Business; Biotechnology Industry
Dolan, Robert J. "Abgenix and the XenoMouse." Harvard Business School Case 501-061, January 2001.
- June 2023
- Case
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese, Jung Koo Kang and James Weber
The case examines the accounting for loan losses at a large bank, how a bank sets its Allowance for Loan and Lease Losses (ALLL) on its financial statements. ALLL, and the rules that set them, determine when banks would and would not extend loans, which significantly... View Details
Keywords: Accounting Standards; Accrual Accounting; Financial Statements; Financial Reporting; Banks and Banking; Financing and Loans; Banking Industry; United States
Heese, Jonas, Jung Koo Kang, and James Weber. "Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs." Harvard Business School Case 123-042, June 2023.
Yajun Cao
Yajun Cao is a doctoral student in Organizational Behavior (Micro) at Harvard Business School. His research focuses on emotion regulation, setbacks, and resilience, aiming to understand how individuals and groups bounce back and grow from negative events. He explores... View Details
- 2025
- Working Paper
Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach
By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)