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- Faculty Publications (88)
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- All HBS Web (553)
- Faculty Publications (88)
- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
Keywords: Succession Planning; Organizational Hierarchy; Compensation; Promotions; Tournaments; Talent and Talent Management; Organizational Structure; Employee Relationship Management; Performance Evaluation; Organizational Culture; Management Skills
Zaman, Hashim, and Karim R. Lakhani. "Determinants of Top-Down Sabotage." Harvard Business School Working Paper, No. 25-007, August 2024. (Revised December 2024.)
- March 24, 2020
- Article
Delayed Negative Effects of Prosocial Spending on Happiness
By: Armin Falk and Thomas Graeber
Does prosocial behavior promote happiness? We test this longstanding hypothesis in a behavioral experiment that extends the scope of previous research. In our Saving a Life paradigm, every participant either saved one human life in expectation by triggering a targeted... View Details
Falk, Armin, and Thomas Graeber. "Delayed Negative Effects of Prosocial Spending on Happiness." Proceedings of the National Academy of Sciences 117, no. 12 (March 24, 2020): 6463–6468.
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details
Lietz, Nori Gerardo, and Philipp Chvanov. "Does the Case for Private Equity Still Hold?" Harvard Business School Working Paper, No. 24-066, January 2024.
- May 2017
- Other Article
Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis
By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky
BACKGROUND:
The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes.... View Details
Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention
Hill, Andrew, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty, and Scott Jelinsky. "Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis." GigaScience 6, no. 5 (May 2017).
- August 2, 2016
- Article
Uncalculating Cooperation Is Used to Signal Trustworthiness
By: Jillian J. Jordan, Moshe Hoffman, Martin A. Nowak and David G. Rand
Humans frequently cooperate without carefully weighing the costs and benefits. As a result, people may wind up cooperating when it is not worthwhile to do so. Why risk making costly mistakes? Here, we present experimental evidence that reputation concerns provide an... View Details
Keywords: Social Evaluation; Experimental Economics; Moral Psychology; Cooperation; Reputation; Decision Making
Jordan, Jillian J., Moshe Hoffman, Martin A. Nowak, and David G. Rand. "Uncalculating Cooperation Is Used to Signal Trustworthiness." Proceedings of the National Academy of Sciences 113, no. 31 (August 2, 2016): 8658–8663.
- January 2010
- Journal Article
A Choice Prediction Competition: Choices from Experience and from Description
By: Ido Erev, Eyal Ert, Alvin E. Roth, Ernan E. Haruvy, Stefan Herzog, Robin Hau, Ralph Hertwig, Terrence Steward, Robert West and Christian Lebiere
Erev, Ert, and Roth organized three choice prediction competitions focused on three related choice tasks: one-shot decisions from description (decisions under risk), one-shot decisions from experience, and repeated decisions from experience. Each competition was based... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Mathematical Methods; Risk and Uncertainty; Competition
Erev, Ido, Eyal Ert, Alvin E. Roth, Ernan E. Haruvy, Stefan Herzog, Robin Hau, Ralph Hertwig, Terrence Steward, Robert West, and Christian Lebiere. "A Choice Prediction Competition: Choices from Experience and from Description." Special Issue on Decisions from Experience. Journal of Behavioral Decision Making 23, no. 1 (January 2010).
- 01 May 2007
- First Look
First Look: May 1, 2007
subjective preferences expressed by the receiving countries themselves. Finally, we use a two-stage least squares methodology to control for measurement error and endogeneity. Exploiting a new comprehensive industry-level View Details
Keywords: Sean Silverthorne
- 27 Sep 2011
- First Look
First Look: September 27
concern. We also hypothesize that the effectiveness of such campaigns depends on the prior responsiveness of line managers. We test our hypotheses in the healthcare setting, in which problems are frequent. We use data on nearly 7,500... View Details
Keywords: Sean Silverthorne
- 2022
- Working Paper
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
- August 2008
- Article
Economic Links and Predictable Returns
By: Lauren Cohen and Andrea Frazzini
This paper finds evidence of return predictability across economically linked firms. We test the hypothesis that in the presence of investors subject to attention constraints, stock prices do not promptly incorporate news about economically related firms, generating... View Details
Keywords: Economics; Price; Assets; Analytics and Data Science; Customers; Stocks; Equity; Strategy; Investment Return; Forecasting and Prediction
Cohen, Lauren, and Andrea Frazzini. "Economic Links and Predictable Returns." Journal of Finance 63, no. 4 (August 2008). (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2008. Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of BSI Gamma Foundation Research Grant presented by BSI Gamma Foundation.)
- 14 Jul 2015
- First Look
First Look: July 14, 2015
Abstract—Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the... View Details
Keywords: Sean Silverthorne
- 27 Apr 2021
- Blog Post
There Are No HBS People, Just People Who Happen to Go to HBS
train to meet her husband who had locked in a job in the automotive industry. She eventually was subjected to domestic abuse and did one of bravest acts a Black woman in the 1950s with six children could do: she left. As a... View Details
- 05 Jul 2006
- First Look
First Look: July 5, 2006
transitional government under Bizimungu (1994-2000) and the first Kagame government (2000-2004) to restore and build the economy. Rwanda: National Economic Transformation provides detailed economic and social data as of 2004, allowing... View Details
Keywords: Sean Silverthorne
- July 2019
- Article
'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity
By: Kurt Gray, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett and Kevin Lewis
When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined... View Details
Gray, Kurt, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett, and Kevin Lewis. "'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity." American Psychologist 74, no. 5 (July 2019): 539–554.
- 24 Jan 2012
- First Look
First Look: Jan. 24
(Study 1). Product priming also increases the speed with which product-relevant individuals come to mind (Study 2). In Study 3, consumers felt subjectively closer to networks primed by specific products, and this felt closeness predicted... View Details
Keywords: Sean Silverthorne
- Program
Competing in the Age of AI—Virtual
Summary Artificial intelligence (AI) is revolutionizing the way today's businesses compete and operate. By putting AI and data at the center of their capabilities, companies are redefining how they create, capture, and share value—and are... View Details
- 14 Nov 2006
- First Look
First Look: November 14, 2006
leveraging already standardized data and work flows. What's most important, though, is that they look beyond the individual IT projects they select to the broader picture of how IT is likely to affect the organization. Information... View Details
Keywords: Sean Silverthorne
- 13 Oct 2006
- Working Paper Summaries
Coerced Confessions: Self-Policing in the Shadow of the Regulator
Keywords: by Jodi L. Short & Michael W. Toffel
- 15 Nov 2007
- Working Paper Summaries
The Dynamic Interplay of Inequality and Trust: An Experimental Study
- 2016
- Working Paper
Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent
By: Pian Shu
Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details
Shu, Pian. "Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent." Harvard Business School Working Paper, No. 16-067, December 2015. (Revised November 2016.)