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Show Results For
- All HBS Web
(711)
- People (2)
- News (80)
- Research (510)
- Events (10)
- Multimedia (8)
- Faculty Publications (382)
- October 2009
- Simulation
Strategy Simulation: Competitive Dynamics and Wintel
In this online simulation students study the dynamics of cooperation and competition between two markedly different businesses that both rely on the flow of PC sales. Playing the role of Microsoft or Intel, students determine product release schedules and pricing, as... View Details
- June 2001
- Case
Privatization of Anatolia National Telekom, The: EUTEL Confidential Instructions
Anatolia National Telekom is a multiparty negotiation simulation patterned after the Turkish government's aborted attempt to privatize its state-owned telecommunications monopoly, Turk Telekom, in late 1997. Provides participants with an opportunity to identify and... View Details
Keywords: Negotiation Process; Emerging Markets; Privatization; State Ownership; Telecommunications Industry; Turkey
Watkins, Michael D., Banu Ozcan, Burkhard Schrage, and Paul Vaaler. "Privatization of Anatolia National Telekom, The: EUTEL Confidential Instructions." Harvard Business School Case 801-435, June 2001.
- November 2023 (Revised April 2024)
- Case
Khanmigo: Revolutionizing Learning with GenAI
By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
- 2024
- Working Paper
What Makes Players Pay? An Empirical Investigation of In-Game Lotteries
By: Tomomichi Amano and Andrey Simonov
In 2020, gamers spent more than $15 billion on loot boxes, lotteries of virtual items in video
games. Paid loot boxes are contentious. Game producers argue that loot boxes complement
the gameplay and expenditures on loot boxes reflect players’ enjoyment of the game.... View Details
Keywords: Consumer Behavior; Policy; Games, Gaming, and Gambling; Product Design; Ethics; Governing Rules, Regulations, and Reforms; Video Game Industry
Amano, Tomomichi, and Andrey Simonov. "What Makes Players Pay? An Empirical Investigation of In-Game Lotteries." Columbia Business School Research Paper Series, No. 4355019, June 2024.
- Teaching Interest
Deals
By: Kevin P. Mohan
This advanced negotiation course includes both negotiation simulations and analysis of actual corporate deals. In the first part of the course, students will participate in complex negotiation simulations and debrief their results in class. In the second part of the... View Details
- Web
Designing Tech Ventures - Course Catalog
HBS Course Catalog Designing Tech Ventures Course Number 5240 Professor of Engineering Robert Howe Senior Lecturer Tom Clay Fall; Q1Q2; 3.0 credits Please note this course meets on Mondays and Wednesdays from 3:50-5:10pm Course Description Launching a successful... View Details
- Research Summary
Quality in Service Operations
Rogelio Oliva is interested in understanding how the operational characteristics of service delivery processes interact with human resource and marketing policies to determine the long term productivity, quality, and profitability of a service operation. Specifically,... View Details
- October 2023
- Article
Matching Mechanisms for Refugee Resettlement
By: David Delacrétaz, Scott Duke Kominers and Alexander Teytelboym
Current refugee resettlement processes account for neither the preferences of refugees nor the priorities of hosting communities. We introduce a new framework for matching with multidimensional knapsack constraints that captures the (possibly multidimensional) sizes of... View Details
Keywords: Refugee Resettlement; Matching; Matching Markets; Matching Platform; Matching With Contracts; Algorithms; Refugees; Market Design
Delacrétaz, David, Scott Duke Kominers, and Alexander Teytelboym. "Matching Mechanisms for Refugee Resettlement." American Economic Review 113, no. 10 (October 2023): 2689–2717.
- 2022
- Article
Nonparametric Subset Scanning for Detection of Heteroscedasticity
By: Charles R. Doss and Edward McFowland III
We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning... View Details
Doss, Charles R., and Edward McFowland III. "Nonparametric Subset Scanning for Detection of Heteroscedasticity." Journal of Computational and Graphical Statistics 31, no. 3 (2022): 813–823.
- August 2006
- Article
Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
Many studies find that aggregate managerial decision variables, such as aggregate equity issuance, predict stock or bond market returns. Recent research argues that these findings may be driven by an aggregate time-series version of Schultz's (2003, Journal of Finance... View Details
Keywords: Prejudice and Bias; Fairness; Managerial Roles; Management Analysis, Tools, and Techniques; Equity; Bonds; Financial Markets; Investment; Capital Markets; Borrowing and Debt; Investment Return
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?" Journal of Finance 61, no. 4 (August 2006): 1711–1730. (Section V of "Pseudo Market Timing and Predictive Regressions, NBER Working Paper Series, No. 10823, contains additional analyses.)
- November 2023 (Revised June 2025)
- Case
Aviva plc: Examining Net Zero
By: Peter Tufano, Brian Trelstad and Matteo Gasparini
The board of Aviva Plc, one of the world’s largest insurers, must review its climate risk exposures and evaluate next steps. Risk experts at the firm have conducted a robust set of analyses prepared for its regulator, the Bank of England, simulating how various climate... View Details
Keywords: Analysis; Climate Change; Insurance; Governing and Advisory Boards; Risk Management; Adaptation; Financial Services Industry; Insurance Industry; Europe; United Kingdom
Tufano, Peter, Brian Trelstad, and Matteo Gasparini. "Aviva plc: Examining Net Zero." Harvard Business School Case 324-008, November 2023. (Revised June 2025.)
- 2014
- Working Paper
De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution
By: Benjamin B Lockwood and Matthew Weinzierl
The prominent but unproven intuition that preference heterogeneity reduces redistribution in a standard optimal tax model is shown to hold under the plausible condition that the distribution of preferences for consumption relative to leisure rises, in terms of... View Details
Lockwood, Benjamin B., and Matthew Weinzierl. "De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution." Harvard Business School Working Paper, No. 12-063, January 2012. (Updated September 2014. NBER Working Paper Series, No. 17784. Published in Journal of Public Economics.)
- February 2011
- Exercise
Carbon Trading Simulation: Green Cement Inc.
By: Peter A. Coles
This simulation presents students the opportunity to experience firsthand the economics of carbon markets and permit trading. Each student has private role information about a company he or she manages. The student must make decisions about pollution-reducing... View Details
Keywords: Ethics; Investment; Markets; Agreements and Arrangements; Production; Corporate Social Responsibility and Impact; Business and Government Relations; Environmental Sustainability; Pollutants
Coles, Peter A. "Carbon Trading Simulation: Green Cement Inc." Harvard Business School Exercise 911-051, February 2011.
- 2009
- Simulation
Finance Simulation: Blackstone/Celanese: No. 3712.
By: Nabil N. El-Hage and Timothy A. Luehrman
The Finance Simulation: Blackstone/Celanese is based on the landmark acquisition of Celanese AG by the Blackstone Group in 2003. Students play the role of either Celanese or Blackstone and conduct due diligence, establish deal terms, respond to bids and counter-bids,... View Details
Using Gen AI for Early-Stage Market Research - Harvard Business Review
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions... View Details
- Summer 2017
- Article
Performance Feedback in Competitive Product Development
By: Daniel P. Gross
Performance feedback is ubiquitous in competitive settings where new products are developed. This article introduces a fundamental tension between incentives and improvement in the provision of feedback. Using a sample of 4,294 commercial logo design tournaments, I... View Details
Keywords: Feedback; Evaluation; Tournaments; Innovation; Performance Evaluation; Motivation and Incentives; Rank and Position; Product Development; Learning
Gross, Daniel P. "Performance Feedback in Competitive Product Development." RAND Journal of Economics 48, no. 2 (Summer 2017): 438–466.
- November 2008
- Case
The StarNight Hotel Construction Bid: Real Time Competition on Schedule, Scope, and Cost
By: John D. Macomber
The case is intended for use with the HBS Educational Technology Group "Construction Bidding Simulation." Material that can be taught includes quantity survey methodology (from the case); analyzing preliminary estimated costs per building trade (from the discussion... View Details
Keywords: Decision Choices and Conditions; Construction; Cost; Contracts; Bids and Bidding; Real Estate Industry
Macomber, John D. "The StarNight Hotel Construction Bid: Real Time Competition on Schedule, Scope, and Cost." Harvard Business School Case 209-067, November 2008.
- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
- Article
De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution
By: Benjamin B Lockwood and Matthew Weinzierl
The prominent but unproven intuition that preference heterogeneity reduces redistribution in a standard optimal tax model is shown to hold under the plausible condition that the distribution of preferences for consumption relative to leisure rises, in terms of... View Details
Keywords: Motivation and Incentives; Income; Decision Choices and Conditions; Consumer Behavior; Taxation; Microeconomics; Macroeconomics
Lockwood, Benjamin B., and Matthew Weinzierl. "De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution." Journal of Public Economics 124 (April 2015): 74–80. (Also NBER Working Paper Series, No. 17784, September 2014 and Harvard Business School Working Paper, No. 12-063, January 2012.)
- December 2009
- Article
Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match
By: Atila Abdulkadiroglu, Parag A. Pathak and Alvin E. Roth
The design of the New York City (NYC) High School match involved tradeoffs among efficiency, stability, and strategy-proofness that raise new theoretical questions. We analyze a model with indifferences—ties—in school preferences. Simulations with field data and the... View Details
Keywords: Decision Choices and Conditions; Secondary Education; Marketplace Matching; Performance Efficiency; Mathematical Methods; Motivation and Incentives; Strategy; Balance and Stability
Abdulkadiroglu, Atila, Parag A. Pathak, and Alvin E. Roth. "Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match." American Economic Review 99, no. 5 (December 2009). (AER links to access the Appendix and Downloadable Data Set.)