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Show Results For
- All HBS Web
(2,593)
- People (1)
- News (734)
- Research (1,425)
- Events (27)
- Multimedia (16)
- Faculty Publications (1,036)
- Article
A Choice Prediction Competition for Market Entry Games: An Introduction
By: Ido Erev, Eyal Ert and Alvin E. Roth
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Learning; Market Entry and Exit; Game Theory; Behavior; Competition
Erev, Ido, Eyal Ert, and Alvin E. Roth. "A Choice Prediction Competition for Market Entry Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 1, no. 2 (June 2010): 117–136.
- January 2001
- Case
Valuing Project Achieve
By: Mihir A. Desai and Kathleen Luchs
Project Achieve is a start-up providing information management solutions for schools. Its founders see a need for software both to manage the volumes of information necessary to administer a school and to connect parents, teachers, and students in a more effective way.... View Details
Keywords: Business Startups; Valuation; Venture Capital; Cost of Capital; Cash Flow; Forecasting and Prediction
Desai, Mihir A., and Kathleen Luchs. "Valuing Project Achieve." Harvard Business School Case 201-080, January 2001.
Balancing Risk and Reward: An Automated Phased Release Strategy
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases... View Details
Rosabeth M. Kanter
Rosabeth Moss Kanter holds the Ernest L. Arbuckle Professorship at Harvard Business School, specializing in strategy, innovation, and leadership for change. Her strategic and practical insights guide leaders worldwide through teaching, writing, and direct... View Details
Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer
- 2020
- Working Paper
Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus
By: David Hao Zhang and Paul Willen
We use a new methodology to assess mortgage pricing discrimination by race. We make four main contributions. First, we show that existing estimates of mortgage pricing differences by race can be confounded by a "menu problem," which is the problem associated with... View Details
Keywords: Mortgages; Financing and Loans; Prejudice and Bias; Race; Measurement and Metrics; Banking Industry; United States
Zhang, David Hao, and Paul Willen. "Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus." Working Paper, September 2020.
Das Narayandas
Das Narayandas is the Edsel Bryant Ford Professor of Business Administration at the Harvard Business School. His academic credentials include a Bachelor of Technology degree in Engineering from the Indian Institute of Technology, Bombay (IITB), a Post-Graduate... View Details
Youngme Moon
Youngme Moon is the Donald K. David Professor of Business at Harvard Business School. Professor Moon's research sits at the intersection of brand strategy and culture, with a particular focus on the emergent AI economy. She is the author of the bestselling book,
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates
whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI
communication. We present a framework of Gen-AI aversion that distinguishes... View Details
Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024. (Revised May 2025.)
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- June 2020
- Article
Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure
By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details
Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
- 05 Dec 2023
- Research & Ideas
Are Virtual Tours Still Worth It in Real Estate? Evidence from 75,000 Home Sales
data from the real estate platform Redfin for 75,178 houses sold in the greater Los Angeles area from March 2019 to March 2021. The time period gives a snapshot of how the effect might linger beyond lockdowns. They combed listings for text and photos using View Details
- Web
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Sites, our web server may record the numerical Internet Protocol (IP) address of the computer you are using, information about your browser and operating system, date and time of access, location information and the internet address and... View Details
Thomas R. Eisenmann
Thomas R. Eisenmann is the Howard H. Stevenson Professor of Business Administration at the Harvard Business School; Peter O. Crisp Faculty Chair, Harvard Innovation Labs; and Unit Head of the HBS Entrepreneurial... View Details
- 07 Mar 2023
- HBS Case
ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?
computer systems to recognize text and image. While at Stanford, Gebru collaborated with AI researcher Fei-Fei Li, who had hired people to tag the contents of 15 million images, noting if they included a cat or a cello. This dataset would... View Details
- November 2010 (Revised November 2017)
- Case
Washout: The Founders' Tale and the Investors' Tale
By: Lena G. Goldberg and Chad M. Carr
The competing narratives of the founders of Alantec, Inc. and the venture capitalists who funded the company are explored in the context of Kalashian v. Advent VI Ltd. a California Superior Court case. The founders of the company, which produced switches for computer... View Details
Keywords: Business Startups; Venture Capital; Governance Controls; Governing and Advisory Boards; Lawsuits and Litigation; Managerial Roles; Ownership Stake; Business and Shareholder Relations; Conflict and Resolution; Technology Industry
Goldberg, Lena G., and Chad M. Carr. "Washout: The Founders' Tale and the Investors' Tale." Harvard Business School Case 311-078, November 2010. (Revised November 2017.)
- 07 Mar 2013
- HBS Seminar
Horace Dediu, Asymco
- 06 Oct 2016
- HBS Seminar
Katy Borner, Indiana University
- 2011
- Article
A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction
By: Eyal Ert, Ido Erev and Alvin E. Roth
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.
- 11 Mar 2015
- HBS Seminar