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Show Results For
- All HBS Web
(642)
- People (1)
- News (90)
- Research (448)
- Events (12)
- Multimedia (1)
- Faculty Publications (242)
- 17 Aug 2020
- Research & Ideas
What the Stockdale Paradox Tells Us About Crisis Leadership
“perceptual narrowing” (hyperfocus on the task at hand with no attention to the environment), and behavioral conformity. As a leader, you can help fight these cognitive biases by being aware of them.... View Details
Keywords: by Boris Groysberg and Robin Abrahams
- March 2021
- Article
Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment
By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the... View Details
Xiang, Yang, Thomas Graeber, Benjamin Enke, and Samuel Gershman. "Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment." Attention, Perception, & Psychophysics (March 2021): 1–11.
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords: by Charles C.Y. Wang
- May 1990 (Revised September 1994)
- Background Note
Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information
Provides a framework that helps explain these real-world observations about accounting and financial statement analysis. When managers have superior information on firms' strategies, and when investors suspect that managers have incentives not to fully disclose this... View Details
Palepu, Krishna G. "Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information." Harvard Business School Background Note 190-188, May 1990. (Revised September 1994.)
- November 2015
- Article
Why Organizations Don't Learn: Our Traditional Obsessions—Success, Taking Action, Fitting In, and Relying on Experts—Undermine Continuous Improvement
By: F. Gino and B. Staats
For any enterprise to be competitive, continuous learning and improvement are key—but not always easy to achieve. After a decade of research, the authors have concluded that four biases stand in the way: we focus too heavily on success, are too quick to act, try too... View Details
Gino, F., and B. Staats. "Why Organizations Don't Learn: Our Traditional Obsessions—Success, Taking Action, Fitting In, and Relying on Experts—Undermine Continuous Improvement." Harvard Business Review 93, no. 11 (November 2015): 110–118.
- 2023
- Working Paper
The Irredeemability of the Past: Determinants of Reconciliation and Revenge in Post-Conflict Settings
By: Kristen Kao, Kristin Fabbe and Michael Bang Petersen
In the aftermath of violent conflict, identifying former enemy collaborators versus
innocent bystanders forced to flee violence is difficult. In post-conflict settings,
internally displaced persons (IDPs) risk becoming stigmatized and face difficulties... View Details
Keywords: Conflict and Resolution; War; Refugees; Moral Sensibility; Behavior; Public Opinion; Lawfulness; Iraq
Kao, Kristen, Kristin Fabbe, and Michael Bang Petersen. "The Irredeemability of the Past: Determinants of Reconciliation and Revenge in Post-Conflict Settings." Harvard Business School Working Paper, No. 24-011, August 2023.
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- 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,... View Details
DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 30 Apr 2021
- Research & Ideas
Why Anger Makes a Wrongly Accused Person Look Guilty
University—found that anger can make a person come across as guilty even when they are not. Too often, when an employee is accused of wrongdoing, people evaluating the situation can make snap judgments based on biases View Details
Keywords: by Michael Blanding
- 2023
- Working Paper
Words Can Hurt: How Political Communication Can Change the Pace of an Epidemic
By: Jessica Gagete-Miranda, Lucas Argentieri Mariani and Paula Rettl
While elite-cue effects on public opinion are well-documented, questions remain as
to when and why voters use elite cues to inform their opinions and behaviors. Using
experimental and observational data from Brazil during the COVID-19 pandemic, we
study how leader... View Details
Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
Gagete-Miranda, Jessica, Lucas Argentieri Mariani, and Paula Rettl. "Words Can Hurt: How Political Communication Can Change the Pace of an Epidemic." Harvard Business School Working Paper, No. 24-022, October 2023.
- October 2013
- Article
How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies
By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
- 2017
- Article
Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights
By: Melissa Carlson, Laura Jakli and Katerina Linos
The global refugee regime represents one of the few generous commitments governments offer to outsiders. Indeed, few persons fleeing armed conflict actually claim international protection upon first arriving in Europe, even though the benefits of legal protection are... View Details
Carlson, Melissa, Laura Jakli, and Katerina Linos. "Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights." Virginia Journal of International Law 57, no. 3 (2017): 539–574.
- 01 Jun 2023
- News
Alumni and Faculty Books
moving forward while others wait for certainty, or make impetuous and foolish bets. These strategic mindsets for solving tough problems in uncertain times help you fight decision biases View Details
- 01 Mar 2008
- News
Reimagining China and India
KHANNA: “The countries are inverted mirror images of each other.” Lots of books have been written about modern China and India, but nearly all deal with one or the other — not both. HBS professor Tarun Khanna set out to fill the breach... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
The Psyche on Automatic: Amy Cuddy Probes Snap Judgments, Warm Feelings, and How to Become an “Alpha Dog”
Social psychologist Cuddy, an assistant professor of business administration, investigates how people perceive and categorize others. Warmth and competence, she finds, are the two critical variables. They account for about 80 percent of our... View Details
- 31 Oct 2023
- Research & Ideas
Beyond the 'Business Case' in DEI: 6 Steps Toward Meaningful Change
because it leads to disconnects at two levels: Individually, it can make leaders exhibit more bias. Organizationally, it does not move leaders to confront biased HR systems and corporate cultures. What this... View Details
- 2019
- Working Paper
Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys
By: Rafael Di Tella and Dani Rodrik
We study preferences for government action in response to layoffs resulting from different types of labor-market shocks. We consider the following shocks: technological change, a demand shift, bad management, and three kinds of international outsourcing. Respondents... View Details
Di Tella, Rafael, and Dani Rodrik. "Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys." NBER Working Paper Series, No. 25705, March 2019.
- 19 Feb 2007
- Research & Ideas
Inexperienced Investors and Market Bubbles
MacKay observed in 1852, "even chimney-sweeps and old clotheswomen dabbled in tulips." These days it's not just chimney-sweeps who are lured to investment heartbreak. New research suggests that even professional fund managers—if... View Details
- October 2020 (Revised May 2023)
- Exercise
SenseAim Technologies: Pricing to Win
By: Elie Ofek, Eyal Biyalogorsky, Marco Bertini and Oded Koenigsberg
This exercise serves to help students understand the proper role and use of costs in a firm’s pricing decisions. The exercise is designed such that the learning of students evolves across a classroom session, starting from understanding which costs are relevant when... View Details
Ofek, Elie, Eyal Biyalogorsky, Marco Bertini, and Oded Koenigsberg. "SenseAim Technologies: Pricing to Win." Harvard Business School Exercise 521-049, October 2020. (Revised May 2023.)