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(2,846)
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Show Results For
- All HBS Web
(2,846)
- News (463)
- Research (2,187)
- Events (40)
- Multimedia (14)
- Faculty Publications (1,399)
Paul Hamilton
Paul studies the economic complements needed for firms to realize productivity gains from machine learning and artificial intelligence. These complements include data, human capital & skills, organizational processes, and business models.
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Randolph B. Cohen
Randolph B. (Randy) Cohen is the MBA Class of 1975 Senior Lecturer of Entrepreneurial Management in the Finance Unit at Harvard Business School. Cohen’s main research focus has been the identification of top investment managers and the prediction of manager... View Details
- 12 Jan 2009
- Research & Ideas
The Value of a ‘Portable’ Career
Stellar teamwork and star talent will be on display February 1 at the National Football League's annual Super Bowl, in Tampa Bay, Florida. For football fans, the much-awaited Super Bowl is the highlight of the year. Minus the dramatic interceptions and exciting... View Details
- 2010
- Working Paper
International Capital Allocation, Sovereign Borrowing, and Growth
By: Laura Alfaro, Sebnem Kalemli-Ozcan and Vadym Volosovych
The key in the investigation of "where" and "why" capital flows, relative to the neoclassical benchmark, is how we measure these flows. The macro literature has been using three main yardsticks: the current account balance, returns to capital, and the volume of net... View Details
Alfaro, Laura, Sebnem Kalemli-Ozcan, and Vadym Volosovych. "International Capital Allocation, Sovereign Borrowing, and Growth." NBER Working Paper Series, No. w17396.
- 02 Mar 2020
- HBS Seminar
Drew Carton, Wharton, University of Pennsylvania
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
- 2009
- Working Paper
Stock Price Fragility
By: Robin Greenwood and David Thesmar
We investigate the relationship between ownership structure of financial assets and non-fundamental risk. An asset is fragile if its owners collectively have to buy or sell. Such assets are susceptible to non-fundamental price movements. An asset can be fragile because... View Details
Keywords: Financial Liquidity; Stocks; Price; Market Transactions; Ownership; Risk and Uncertainty; United States
Greenwood, Robin, and David Thesmar. "Stock Price Fragility." Harvard Business School Working Paper, No. 10-031, October 2009.
- July 1983 (Revised September 1986)
- Case
Johnson Wax: Enhance (B)
After the initial ASSESSOR indicated problems in formulation, product position, and advertising copy, Enhance was modified and retested using ASSESSOR. Compares the new results as well as presenting teaching study data. Enhance is well below predicted share. Is the... View Details
Keywords: Product Positioning; Marketing Strategy; Advertising; Product Development; Beauty and Cosmetics Industry
Clarke, Darral G. "Johnson Wax: Enhance (B)." Harvard Business School Case 584-009, July 1983. (Revised September 1986.)
- January 2010
- Article
The Role of Experience in the Gambler's Fallacy
By: Greg Barron and Stephen Leider
Recent papers have demonstrated that the way people acquire information about a decision problem, by experience or by abstract description, can affect their behavior. We examined the role of experience over time in the emergence of the Gambler's Fallacy in binary... View Details
Keywords: Experience and Expertise; Decision Making; Forecasting and Prediction; Knowledge Acquisition; Outcome or Result; Game Theory; Prejudice and Bias
Barron, Greg, and Stephen Leider. "The Role of Experience in the Gambler's Fallacy." Special Issue on Decisions from Experience. Journal of Behavioral Decision Making 23, no. 1 (January 2010).
- 11 May 2020
- Working Paper Summaries
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- November 2000 (Revised April 2004)
- Case
Airbus A3XX: Developing the World's Largest Commercial Jet (A)
By: Benjamin C. Esty and Michael Kane
In July 2000, Airbus Industries' supervisory board is on the verge of approving a $13 billion investment for the development of a new super jumbo jet known as the A3XX that would seat from 550 to 1,000 passengers. Having secured approximately 20 orders for the new jet,... View Details
Keywords: Risk and Uncertainty; Investment; Forecasting and Prediction; Capital Budgeting; Valuation; Government and Politics; Demand and Consumers; Product Development; Product Positioning; Air Transportation Industry; Manufacturing Industry
Esty, Benjamin C., and Michael Kane. "Airbus A3XX: Developing the World's Largest Commercial Jet (A)." Harvard Business School Case 201-028, November 2000. (Revised April 2004.)
- 2010
- Other Unpublished Work
International Capital Allocation, Sovereign Borrowing, and Growth
By: Laura Alfaro, Sebnem Kalemli-Ozcan and Vadym Volosovych
The key in the investigation of "where" and "why" capital flows, relative to the neoclassical benchmark, is how we measure these flows. The macro literature has been using three main yardsticks: the current account balance, returns to capital, and the volume of net... View Details
- October 2007
- Journal Article
Psychosocial Development and Leader Performance of Military Officer Cadets
By: Scott Snook and Paul T. Bartone
Efforts to educate and develop future military officers aim to produce highly competent, ethical and effective leaders to serve the nation. But while there is general agreement about desired outcomes, the underlying developmental processes associated with these... View Details
Keywords: Forecasting and Prediction; Leadership Development; Performance Evaluation; Personal Development and Career; Social Psychology
Snook, Scott, and Paul T. Bartone. "Psychosocial Development and Leader Performance of Military Officer Cadets." Leadership Quarterly 18, no. 5 (October 2007): 490–504.
- 2021
- Working Paper
An Empirical Study of Time Allotment and Delays in E-commerce Delivery
By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
Balakrishnan, M., MoonSoo Choi, and Natalie Epstein. "An Empirical Study of Time Allotment and Delays in E-commerce Delivery." Working Paper, December 2021.
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- February 2013
- Case
Recorded Future: Analyzing Internet Ideas About What Comes Next
Recorded Future is a "big data" startup company that uses Internet data to make predictions about events, people, and entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The... View Details
Keywords: Big Data; Analytics; Internet; Analytics and Data Science; Internet and the Web; Entrepreneurship; Forecasting and Prediction; Business Startups; Information Technology Industry
Davenport, Thomas H. "Recorded Future: Analyzing Internet Ideas About What Comes Next." Harvard Business School Case 613-083, February 2013.
- January 2021
- Article
A Model of Relative Thinking
By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details
Bushong, Benjamin, Matthew Rabin, and Joshua Schwartzstein. "A Model of Relative Thinking." Review of Economic Studies 88, no. 1 (January 2021): 162–191.