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Show Results For
- All HBS Web
(1,843)
- People (2)
- News (289)
- Research (1,181)
- Events (33)
- Multimedia (12)
- Faculty Publications (751)
- March 2024 (Revised June 2025)
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 2018
- Working Paper
Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.
By: Xiaojia Guo, Kenneth C. Lichtendahl Jr. and Yael Grushka-Cockayne
We introduce an exponential smoothing model that a manager can use to forecast the demand of a new product or service. The model has five features that make it suitable for accurately forecasting product life cycles at scale. First, the trend in our model follows the... View Details
Keywords: New Product Development; Demand Forecasting; Product Adoption; Innovation Diffusion; Product Development; Demand and Consumers; Forecasting and Prediction; Adoption
Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October 2018. (Darden Business School Working Paper, No. 2805244, July 2016.)
- September 2011 (Revised July 2012)
- Case
Building Watson: Not So Elementary, My Dear!
By: Willy Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Technological Innovation; Standards; Product Development; Organizational Change and Adaptation; Mathematical Methods; Research and Development; Information Technology
Shih, Willy. "Building Watson: Not So Elementary, My Dear!" Harvard Business School Case 612-017, September 2011. (Revised July 2012.)
- 16 Nov 2016
- HBS Seminar
Ben Shiller, Brandeis University
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
algorithm generates fair outcomes. As the algorithm sorts through information to optimize its objective, BEAT detects and eliminates bias at key points in the training process. For instance, BEAT could help a car service charge surge... View Details
Keywords: by Rachel Layne
- Web
Research - Behavioral Finance & Financial Stability
financial crisis of 2008-2009. Through the lense of a simple model of optimal bank regulation, the authors enumerate three core principles. They argue 1) single constraint should be used in place of multiple constraints on bank equity... View Details
- Program
Public Education Leadership Project
Review To optimize the learning experience and maximize the exchange of ideas, our Admissions Committee makes selections that balance each participant's experience, scope of students served, and district challenges. Upon admission... View Details
- 31 May 2011
- Research & Ideas
Japan Disaster Shakes Up Supply-Chain Strategies
narrow, optimized supply chains," Shih says. "They put all of their eggs with one supplier that had the best product at the lowest price." Suppliers Squeezed, Too At the same time the suppliers, also under pressure to... View Details
- 04 Jun 2020
- Book
It’s Not About You: Why Leaders Need to Look Outward
diagnose whether or not you're optimizing on it. And then, more important, how you can fix it immediately. It’s not, “Oh, my gosh. We have to rebuild trust. Let's come up with a five-year plan.” You will have wasted four years and 11... View Details
Keywords: by Kristen Senz
- Blog
Leading Successful Digital Transformation
transformation in large organizations for three main reasons: Focus on optimization and efficiency: Many companies use technology to cut costs, improve efficiency, or enhance the productivity of their current operations. Artificial... View Details
- 08 Aug 2005
- Research & Ideas
Decision Rights: Who Gives the Green Light?
Placing decision rights where these combined costs are minimal, the authors write, should lead to optimal decision-making efficiency and therefore better performance. Allocating decision rights in ways that maximize organizational... View Details
Keywords: by Peter Jacobs
- February 2025
- Article
Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery
By: Jacob C. Jameson, Soroush Saghafian, Robert S. Huckman and Nicole Hodgson
Objectives: To examine heterogeneity in physician batch ordering practices and measure the impact of a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.
Study Setting and Design: In this retrospective study, we used... View Details
Study Setting and Design: In this retrospective study, we used... View Details
Keywords: Health Care; Operations Management; Productivity; Health Care and Treatment; Operations; Outcome or Result; Resource Allocation; Health Industry; United States
Jameson, Jacob C., Soroush Saghafian, Robert S. Huckman, and Nicole Hodgson. "Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery." Health Services Research 60, no. 1 (February 2025).
- 2006
- Working Paper
The Value of a 'Free' Customer
By: Sunil Gupta, Carl F. Mela and Jose M. Vidal-Sanz
Central to a firm's growth and marketing policy is the revenus and profit potential of its customer assets. As a result, there has been a recent proliferation of work regarding customer lifetime value. However, extant research in this area is silent regarding how to... View Details
Gupta, Sunil, Carl F. Mela, and Jose M. Vidal-Sanz. "The Value of a 'Free' Customer." Harvard Business School Working Paper, No. 07-035, December 2006.
- 01 Dec 2023
- News
Venturing Forth
into the game. It meant that money, and lots of it, was everywhere. But as the economy hit the skids in the spring of 2022, that optimism faltered. High inflation, spiking consumer prices, and uncertainty in the stock market caused... View Details
- Web
Courses - Private Capital Project
investment challenges, identify growth opportunities, and optimize capital returns in a complex investment environment. HBS Online Courses Alternative Investments The Alternative Investments course covers the essentials for evaluating... View Details
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- 26 Jan 2015
- Research & Ideas
National Health Costs Could Decrease if Managers Reduce Work Stress
world mathematically and use that to make decisions is very interesting to me," he says. "The world is not deterministic—there is a randomness built into it. And yet, by using robust optimization techniques we can tackle a wide... View Details
- 2024
- Case
Christiana Figueres and the Paris Climate Negotiations (A)
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details
Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (A)." Program on Negotiation at Harvard Law School Case, 2024.