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(2,892)
- News (476)
- Research (2,217)
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- Faculty Publications (1,434)
Show Results For
- All HBS Web
(2,892)
- News (476)
- Research (2,217)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,434)
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- Web
Business & Environment - Faculty & Research
Foundation ; Impact Investing ; ESG ; Family Business ; Forecasting and Prediction ; Private Sector ; Renewable Energy ; Social Entrepreneurship ; Climate Change ; Environmental Sustainability ; Green Technology ; Financial Strategy ;... View Details
- 22 Oct 2019
- Research & Ideas
Use Artificial Intelligence to Set Sales Targets That Motivate
data, the algorithm learns to predict the outcome from the input data. Unsupervised learning. In this case, using unlabeled data, the algorithm learns the inherent structure from the input data. Either machine learning approach is only as... View Details
Keywords: by Michael Blanding
- 20 Apr 2011
- Research & Ideas
Blind Spots: We’re Not as Ethical as We Think
participants were asked to predict how they would react if a job interviewer asked questions that qualified as sexual harassment. Participants who were induced to think about the motivation they likely would experience at the time of the... View Details
Keywords: by Sean Silverthorne
- 25 Jan 2010
- Research & Ideas
A Macroeconomic View of the Current Economy
investments across various countries. Q: You mentioned that you can't predict exchange rates. But are there rules of thumb managers can practice when thinking about exchange rates and how to play them? A: I'll mention several. First, as I... View Details
Keywords: by Sean Silverthorne
- 24 Mar 2015
- First Look
First Look: March 24
features. First, financiers engage in the costly but potentially profitable process of innovation: they can invent better methods for screening entrepreneurs. Second, every screening process becomes less effective as technology advances. The model View Details
Keywords: Sean Silverthorne
- Web
Cold Calling - Christensen Center for Teaching & Learning
participation. Low frequency participant: As the term progresses, an instructor may use cold calls to engage and develop students who have participated with below average frequency in class discussions. This strategy should be used with caution, since it may make cold... View Details
- Web
Food & Agriculture - Business & Environment
climate change is expected to worsen conditions for growing food. [27] Barclays predicts that markets for meat alternatives could be worth $140 billion within 10 years (by 2029). [28] Challenge Agriculture’s contributions to climate... View Details
- Web
Topics - HBS Working Knowledge
Financial Markets (22) Financial Reporting (7) Financial Statements (1) Financial Strategy (11) Financing and Loans (22) Food (12) For-Profit Firms (1) Forecasting and Prediction (26) Foreign Direct Investment (5) Forms of Communication... View Details
- 27 Jan 2015
- Working Paper Summaries
College Admissions as Non-Price Competition: The Case of South Korea
- 11 Jan 2007
- Working Paper Summaries
A Perceptions Framework for Categorizing Inventory Policies in Single-stage Inventory Systems
Keywords: by Noel Watson
- Article
Default Neglect in Attempts at Social Influence
By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the... View Details
Zlatev, Julian, David P. Daniels, Hajin Kim, and Margaret A. Neale. "Default Neglect in Attempts at Social Influence." Proceedings of the National Academy of Sciences 114, no. 52 (December 26, 2017).
- September 2019
- Article
Technology Reemergence: Creating New Value for Old Technologies in Swiss Mechanical Watchmaking, 1970-2008
By: Ryan Raffaelli
In 1983, 14 years after the introduction of the battery-powered quartz watch, mechanical watches and the Swiss watchmakers who built them were predicted to be obsolete (Landes, 1983). Unexpectedly, however, by 2008 the Swiss mechanical watchmaking industry had... View Details
Keywords: Technology Reemergence; Technology Cycles; Cognition And Market Redefinition; Legacy Technology Trajectories; Information Technology; Demand and Consumers; Organizational Change and Adaptation; Identity; Change; Consumer Products Industry; Switzerland
Raffaelli, Ryan. "Technology Reemergence: Creating New Value for Old Technologies in Swiss Mechanical Watchmaking, 1970-2008." Administrative Science Quarterly 64, no. 3 (September 2019): 576–618.
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
you give an example? Israeli: Suppose that women are more likely to buy red iPhone cases compared to other groups. Now, I decide to exclude gender when I train my algorithm to predict something, in order to prevent any biased outcome. But... View Details
Keywords: by Rachel Layne
- 05 May 2015
- First Look
First Look: May 5
new expression of power that I christen: "Big Other." It is constituted by unexpected and often illegible mechanisms of extraction, commodification, and control that effectively exile persons from their own behavior while producing new markets of behavioral... View Details
Keywords: Carmen Nobel
- 04 Jun 2024
- Research & Ideas
Navigating Consumer Data Privacy in an AI World
data with governments are perceived by the public as irresponsible. So, I believe there isn't a universal answer to the right approach. However, being aware of customer sentiment and cultural context is really important. You Might Also Like: With View Details
- 05 Mar 2010
- Working Paper Summaries
Will I Stay or Will I Go? Cooperative and Competitive Effects of Workgroup Sex and Race Composition on Turnover
- 2019
- Working Paper
Judgment Aggregation in Creative Production: Evidence from the Movie Industry
By: Hong Luo, Jeffrey T. Macher and Michael Wahlen
This paper studies a novel, light-touch approach to aggregate judgment from a large number of industry experts on ideas that they encounter in their normal course of business. Our context is the movie industry, in which customer appeal is difficult to predict and... View Details
Keywords: Judgment Aggregation; Creativity; Film Entertainment; Judgments; Motion Pictures and Video Industry
Luo, Hong, Jeffrey T. Macher, and Michael Wahlen. "Judgment Aggregation in Creative Production: Evidence from the Movie Industry." Harvard Business School Working Paper, No. 19-082, January 2019. (Revised September 2019.)