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Show Results For
-
All HBS Web
(2,812)
- News (445)
- Research (2,156)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,374)
- 07 Jun 2019
- Working Paper Summaries
Reflexivity in Credit Markets
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
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Keywords:
Business and Government Relations;
Emerging Markets;
Technology Adoption;
Strategy;
Management;
Ethics;
Social Enterprise;
AI and Machine Learning;
Analytics and Data Science;
Natural Environment;
Technology Industry;
Cambodia;
United States;
Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- October 2016 (Revised April 2018)
- Case
DataXu: Selling Ad Tech
By: Frank V. Cespedes, John Deighton, Lisa Cox and Olivia Hull
DataXu served marketers by buying digital advertising for brands using its demand-side platform. It sought a way to build a more predictable revenue stream in the very transactional media marketplace, and hoped that two new marketing analytics products would give it a...
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Keywords:
Sales Management;
Pricing;
Programmatic Ad Buying;
"Marketing Analytics";
Advertising Technology;
Sales;
Digital Marketing;
Marketing Strategy;
Advertising Campaigns;
Product Launch;
Product Positioning;
Media;
Technology Industry;
Advertising Industry;
Boston;
Massachusetts
Cespedes, Frank V., John Deighton, Lisa Cox, and Olivia Hull. "DataXu: Selling Ad Tech." Harvard Business School Case 817-012, October 2016. (Revised April 2018.)
- 13 Sep 2016
- News
The Hard Truth About Business Model Innovation
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,...
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 2022
- Working Paper
Values as Luxury Goods and Political Polarization
By: Benjamin Enke, Mattias Polborn and Alex A Wu
Motivated by novel survey evidence, this paper develops a theory of political
behavior in which values are a luxury good: the relative weight voters place
on values rather than material considerations increases in income. The model
predicts (i) voters who are...
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Keywords:
Political Polarization;
Government and Politics;
Moral Sensibility;
Luxury;
Values and Beliefs;
Voting
Enke, Benjamin, Mattias Polborn, and Alex A Wu. "Values as Luxury Goods and Political Polarization." Working Paper, April 2022. (Revised April 2023.)
- December 2009
- Article
Catering Through Nominal Share Prices
By: Malcolm Baker, Robin Greenwood and Jeffrey Wurgler
We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuation on low-price firms, managers will maintain share prices at lower levels, and vice-versa. Using measures of time-varying catering incentives...
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Baker, Malcolm, Robin Greenwood, and Jeffrey Wurgler. "Catering Through Nominal Share Prices." Journal of Finance 64, no. 6 (December 2009): 2559–2590. (Internet Appendix.)
- 09 Jun 2020
- Working Paper Summaries
Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time
- July 1986 (Revised August 1987)
- Background Note
Note on Comparative Advantage
By: David B. Yoffie and John J. Coleman
Discusses David Ricardo's theory of comparative advantage and the refinement of his model developed by Eli Heckscher and Bertil Ohlin. Presents several criticisms of the Heckscher-Ohlin theory, including Wassily Leontief's empirical demonstration that the nature of...
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Yoffie, David B., and John J. Coleman. "Note on Comparative Advantage." Harvard Business School Background Note 387-023, July 1986. (Revised August 1987.)
Robin Greenwood
Robin is the George Gund Professor of Finance and Banking at Harvard Business School. He serves as the Senior Associate Dean for Faculty Development and Research. He is past faculty director of the Behavioral Finance and Financial Stability project, chair of... View Details
- 31 Oct 2004
- What Do You Think?
Should the Wisdom of Crowds Influence Our Thinking About Leadership?
have been found to be better than a few experts at everything from estimating the true magnitude of things (as in guessing the number of jelly beans in a jar) to diagnosing causes of problems (as in determining that the O-ring seals were the primary cause of the...
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Keywords:
by James Heskett
- 10 Mar 2022
- News
Hybrid Is the New Normal (For Now)
- 2008
- Working Paper
Catering through Nominal Share Prices
By: Malcolm Baker, Robin Greenwood and Jeffrey Wurgler
We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuation on low-price firms, managers will maintain share prices at lower levels, and vice-versa. Using measures of time-varying catering...
View Details
Baker, Malcolm, Robin Greenwood, and Jeffrey Wurgler. "Catering through Nominal Share Prices." NBER Working Paper Series, No. w13762, January 2008. (First Draft in 2007.)
- 04 Apr 2016
- HBS Seminar
Ariel Stern, Harvard Business School
- 02 Jan 2019
- News
New Year’s Crystal Ball Episode
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about...
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Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- 18 Mar 2015
- News
Did Fear-Mongering Make Ebola's Impact Worse?
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward...
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Keywords:
National Security;
Analytics and Data Science;
Analysis;
Forecasting and Prediction;
History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).