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Show Results For
- All HBS Web
(593)
- People (1)
- News (90)
- Research (409)
- Events (5)
- Multimedia (1)
- Faculty Publications (212)
- February 2014
- Article
Governance and CEO Turnover: Do Something or Do the Right Thing?
By: Ray Fisman, Rakesh Khurana, Matthew Rhodes-Kropf and Soojin Yim
We study how corporate governance affects firm value through the decision of whether to fire or retain the CEO. We present a model in which weak governance—which prevents shareholders from controlling the board—protects inferior CEOs from dismissal, while at the same... View Details
Keywords: Governing and Advisory Boards; Value; Retention; Resignation and Termination; Corporate Governance; Management Teams; Business and Shareholder Relations
Fisman, Ray, Rakesh Khurana, Matthew Rhodes-Kropf, and Soojin Yim. "Governance and CEO Turnover: Do Something or Do the Right Thing?" Management Science 60, no. 2 (February 2014): 319–337.
- July 2009
- Article
When Misconduct Goes Unnoticed: The Acceptability of Gradual Erosion in Others' Unethical Behavior
By: Francesca Gino and Max Bazerman
Four laboratory studies show that people are more likely to accept others' unethical behavior when ethical degradation occurs slowly rather than in one abrupt shift. Participants served in the role of watchdogs charged with catching instances of cheating. The watchdogs... View Details
Gino, Francesca, and Max Bazerman. "When Misconduct Goes Unnoticed: The Acceptability of Gradual Erosion in Others' Unethical Behavior." Journal of Experimental Social Psychology 45, no. 4 (July 2009): 708–719.
- August 2023
- Article
Can Security Design Foster Household Risk-Taking?
By: Laurent Calvet, Claire Célérier, Paolo Sodini and Boris Vallée
This paper shows that securities with a non-linear payoff design can foster household risk-taking. We demonstrate this effect empirically by exploiting the introduction of capital guarantee products in Sweden from 2002 to 2007. The fast and broad adoption of these... View Details
Keywords: Financial Innovation; Household Finance; Structured Products; Stock Market Participation; Finance; Innovation and Invention; Household; Personal Finance; Risk and Uncertainty; Behavior; Market Participation
Calvet, Laurent, Claire Célérier, Paolo Sodini, and Boris Vallée. "Can Security Design Foster Household Risk-Taking?" Journal of Finance 78, no. 4 (August 2023): 1917–1966.
- October 2021
- Article
Changing Gambling Behavior through Experiential Learning
By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
- Research Summary
The Effect of the Internet on Wages
Who benefits from the adoption of technology in the workplace? To explore, I combine worker-level wage data with information on broadband adoption by Brazilian firms to estimate the effects of broadband on wages. Overall, wages increase 2.3 percent following... 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.)
- 2007
- Working Paper
The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are
By: Ann E. Tenbrunsel, Kristina A. Diekmann, Kimberly A. Wade-Benzoni and Max H. Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and evaluation is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Ethics; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
Tenbrunsel, Ann E., Kristina A. Diekmann, Kimberly A. Wade-Benzoni, and Max H. Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are." Harvard Business School Working Paper, No. 08-012, August 2007. (revised January 2009, previously titled "Why We Aren't as Ethical as We Think We Are: A Temporal Explanation.")
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords: by Charles C.Y. Wang
- January 2011 (Revised March 2011)
- Case
Development and Promotion at North Atlantic Hospital
By: Boris Groysberg, Lisa Leffert, Kerry Herman and Libby Williams
Dr. Elizabeth Harris, Chair of the Department of Anesthesiology (DA) at North Atlantic Hospital (NAH), faces several significant challenges. Staff satisfaction surveys confirmed her assessment that department faculty morale was low, the tenure and promotion system was... View Details
Keywords: Training; Employees; Retention; Performance Evaluation; Personal Development and Career; Motivation and Incentives; Health Industry
Groysberg, Boris, Lisa Leffert, Kerry Herman, and Libby Williams. "Development and Promotion at North Atlantic Hospital." Harvard Business School Case 411-018, January 2011. (Revised March 2011.)
- 2022
- Chapter
Redirecting Rawlsian Reasoning Toward the Greater Good
By: Joshua D. Greene, Karen Huang and Max Bazerman
In A Theory of Justice, John Rawls employed the ‘veil of Ignorance’ as a moral reasoning device designed to promote impartial thinking. By imagining the choices of decision-makers who are blind to biasing information, one might see more clearly the organizing... View Details
Greene, Joshua D., Karen Huang, and Max Bazerman. "Redirecting Rawlsian Reasoning Toward the Greater Good." Chap. 15 in The Oxford Handbook of Moral Psychology, edited by Manuel Vargas and John M. Doris, 246–261. Oxford, UK: Oxford University Press, 2022.
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- 2014
- Other Unpublished Work
Nudging Physicians to Pursue Careers in Underserved Areas: A Case for Behavioral Economics
By: Joseph Lopez, Mona Singh, Nava Ashraf and Joel Weissman
Currently, more than 60 million Americans live in "Health Professional Shortage Areas." Unless policymakers can encourage more physicians to practice in medically under-resourced areas, an increased number of uninsured individuals newly able to obtain health insurance... View Details
- September 2021
- Article
Gender Stereotypes in Deliberation and Team Decisions
By: Katherine B. Coffman, Clio Bryant Flikkema and Olga Shurchkov
We explore how groups deliberate and decide on ideas in an experiment with communication. We find that gender biases play a significant role in which group members are chosen to answer on behalf of the group. Conditional on the quality of their ideas, individuals are... View Details
Keywords: Gender Differences; Stereotypes; Teams; Economic Experiments; Gender; Prejudice and Bias; Groups and Teams; Perception
Coffman, Katherine B., Clio Bryant Flikkema, and Olga Shurchkov. "Gender Stereotypes in Deliberation and Team Decisions." Games and Economic Behavior 129 (September 2021): 329–349.
- July 2014
- Article
Winners in the Spotlight: Media Coverage of Fund Holdings as a Driver of Flows
By: David H. Solomon, Eugene F. Soltes and Denis Sosyura
We show that media coverage of mutual fund holdings affects how investors allocate money across funds. Controlling for fund performance, fund holdings with high past returns attract extra flows only if these stocks were recently featured in major newspapers. In... View Details
Solomon, David H., Eugene F. Soltes, and Denis Sosyura. "Winners in the Spotlight: Media Coverage of Fund Holdings as a Driver of Flows." Journal of Financial Economics 113, no. 1 (July 2014): 53–72.
- Article
The Price of Equality: Suboptimal Resource Allocations across Social Categories
By: Stephen M. Garcia, Max Bazerman, Shirli Kopelman, Avishalom Tor and Dale T. Miller
This paper explores the influence of social categories on the perceived trade-off between relatively bad but equal distribution of resources between two parties and profit maximizing, yet asymmetric, payoffs. Studies 1 and 2 show that people prefer to maximize profits... View Details
Keywords: Equality and Inequality; Resource Allocation; Societal Protocols; Profit; Decision Making; Prejudice and Bias; Market Transactions; Ethics; Power and Influence; Distribution; Organizations
Garcia, Stephen M., Max Bazerman, Shirli Kopelman, Avishalom Tor, and Dale T. Miller. "The Price of Equality: Suboptimal Resource Allocations across Social Categories." Special Issue on Behavioral Ethics: A New Empirical Perspective on Business Ethics Research. Business Ethics Quarterly 20, no. 1 (January 2010): 75–88.
- May 5, 2020
- Article
Why the Crisis Is Putting Companies at Risk of Losing Female Talent
By: Colleen Ammerman and Boris Groysberg
There has been a massive shift in how work gets done inside many companies and the global pivot to working remotely will likely change how many think about face time and rigid work schedules. Might these changes benefit women? The authors argue that will depend on how... View Details
Keywords: Coronavirus Pandemic; Remote Work; Flexible Work Arrangements; Health Pandemics; Employees; Working Conditions; Gender
Ammerman, Colleen, and Boris Groysberg. "Why the Crisis Is Putting Companies at Risk of Losing Female Talent." Harvard Business Review Digital Articles (May 5, 2020).
- 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.)
- 20 Sep 2017
- News
Japan Is Counting on Shareholder Activism to Improve Its Economy
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).