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Show Results For
- All HBS Web
(3,412)
- People (1)
- News (1,045)
- Research (2,060)
- Events (7)
- Multimedia (50)
- Faculty Publications (993)
- Article
Brand Values and Capital Market Valuation
By: Mary Barth, Michael B. Clement, George Foster and Ron Kasznik
Brand value estimates are significantly positively related to prices and returns, incremental to accounting variables. Questionable brand value estimate reliability underlies lack of financial statement recognition for brands. Findings suggest estimates are relevant... View Details
Barth, Mary, Michael B. Clement, George Foster, and Ron Kasznik. "Brand Values and Capital Market Valuation." Review of Accounting Studies 3, nos. 1-2 (1998): 41–68.
- 22 Jun 2010
- First Look
First Look: June 22
advertising market—one that suffers quite a different set of problems. Display advertising systems place ads-typically, rectangular "banners"—on the majority of popular web sites. Though display ads are widespread, they are also troubled—ignored View Details
Keywords: Martha Lagace
- June 2012
- Article
Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes
By: Robyn A. LeBoeuf and Michael I. Norton
We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread computer virus) if it had a large consequence (job loss), but that the identical failure... View Details
LeBoeuf, Robyn A., and Michael I. Norton. "Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes." Journal of Consumer Research 39, no. 1 (June 2012): 128–141.
- September 2022
- Article
The Limits of Inconspicuous Incentives
By: Leslie K. John, Hayley Blunden, Katherine Milkman, Luca Foschini and Bradford Tuckfield
Managers and policymakers regularly rely on incentives to encourage valued behaviors. While incentives are often successful, there are also notable and surprising examples of their ineffectiveness. Why? We propose a contributing factor may be that they are not... View Details
John, Leslie K., Hayley Blunden, Katherine Milkman, Luca Foschini, and Bradford Tuckfield. "The Limits of Inconspicuous Incentives." Art. 104180. Organizational Behavior and Human Decision Processes 172 (September 2022).
- 2023
- Working Paper
Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition
By: Timo O. Vuori and Michael L. Tushman
Based on an inductive case study, we develop an emotional-temporal process model of an incumbent’s
strategic decision making at a platform transition. We describe the senior team’s emotional response to
this transition and the impact of these emotions on their... View Details
Vuori, Timo O., and Michael L. Tushman. "Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition." Harvard Business School Working Paper, No. 23-054, March 2023.
- 14 Sep 2010
- First Look
First Look: September 14, 2010
problem when they first emerged but was ultimately overcome by changes in the innovation ecosystem. However, incumbents in the oil and power sector are different in two respects. First, they are producing a commodity and hence face little... View Details
Keywords: Sean Silverthorne
- 03 Mar 2015
- First Look
First Look: March 3
foundings are driven by collective patterns of activity-that is, by patterns of prior foundings, of support from related markets, and of institutional activism in a given sector. Building on research on... View Details
Keywords: Sean Silverthorne
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- Article
How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments
By: Ilyana Kuziemko, Michael I. Norton, Emmanuel Saez and Stefanie Stantcheva
We analyze randomized online survey experiments providing interactive, customized information on U.S. income inequality, the link between top income tax rates and economic growth, and the estate tax. The treatment has large effects on views about inequality but only... View Details
Kuziemko, Ilyana, Michael I. Norton, Emmanuel Saez, and Stefanie Stantcheva. "How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments." American Economic Review 105, no. 4 (April 2015): 1478–1508.
- 2011
- Working Paper
CEO Bonus Plans: And How to Fix Them
By: Kevin J. Murphy and Michael C. Jensen
Almost all CEO and executive bonus plans have serious design flaws that limit their benefits dramatically. Such poorly designed executive bonus plans destroy value by providing incentives to manipulate the timing of earnings, mislead the board about organizational... View Details
Keywords: Business Earnings; Competency and Skills; Cost of Capital; Executive Compensation; Risk Management; Performance Evaluation; Projects; Motivation and Incentives; Value
Murphy, Kevin J., and Michael C. Jensen. "CEO Bonus Plans: And How to Fix Them." Harvard Business School Working Paper, No. 12-022, October 2011.
- 13 Dec 2016
- First Look
December 13, 2016
protection than SOEs. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=51975 December 2016 Harvard Business Review Fixing Discrimination in Online Marketplaces By: Fisman, Ray, and Michael View Details
Keywords: Carmen Nobel
- Fall 2016
- Article
The Integrity of Private Third-party Compliance Monitoring
By: Jodi L. Short and Michael W. Toffel
Government agencies are increasingly turning to private, third-party monitors to inspect and assess regulated entities’ compliance with law. The integrity of these regulatory regimes rests on the validity of the information third-party monitors provide to regulators.... View Details
Keywords: Regulation; Compliance; Compliance Policies; Conflict Of Interest; Independent Third Party; Inspection; Audit Quality; Auditor; Audit; Environment; Safety; Conflict of Interests; Working Conditions; Labor; Corporate Social Responsibility and Impact; Governance Compliance; Accounting Audits
Short, Jodi L., and Michael W. Toffel. "The Integrity of Private Third-party Compliance Monitoring." Administrative & Regulatory Law News 42, no. 1 (Fall 2016): 22–25.
- 2015
- Working Paper
The Integrity of Private Third-party Compliance Monitoring
By: Jodi L. Short and Michael W. Toffel
Government agencies are increasingly turning to private, third-party monitors to inspect and assess regulated entities’ compliance with law. The integrity of these regulatory regimes rests on the validity of the information third-party monitors provide to regulators.... View Details
Keywords: Regulation; Compliance; Compliance Policies; Conflict Of Interest; Independent Third Party; Inspection; Audit Quality; Auditor; Audit; Environment; Production; Supply Chain; Quality; Government Administration; Working Conditions; Safety; Labor; Governing Rules, Regulations, and Reforms; Governance Compliance; Manufacturing Industry; Public Administration Industry; Accounting Industry; Service Industry; United States
Short, Jodi L., and Michael W. Toffel. "The Integrity of Private Third-party Compliance Monitoring." Harvard Kennedy School Regulatory Policy Program Working Paper, No. RPP-2015-20, November 2015. (Revised December 2015.)
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- 09 Sep 2014
- First Look
First Look: September 9
Publications September 2014 Cambridge University Press Consumer Lending in France and America: Credit and Welfare By: Trumbull, Gunnar Abstract—Why did America embrace consumer credit over the course of the twentieth century, when most other countries did not? How... View Details
Keywords: Sean Silverthorne
- November 2024
- Article
Perceptions About Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
- 21 Jun 2011
- First Look
First Look: June 21
characterizes the financial world. They also overlook the role of natural selection. To be sure, natural selection in the financial world is not exactly analogous to the processes first described by Darwin and elaborated on View Details
Keywords: Sean Silverthorne
- 06 Dec 2011
- First Look
First Look: Dec. 6
PublicationsFlying Without a Net: Turn Fear of Change into Fuel for Success Author:Thomas J. DeLong Publication:Harvard Business Review Press, 2011 Abstract Confronted by omnipresent threats of job loss and change, even the brightest... View Details
Keywords: Sean Silverthorne
- 01 Jun 2015
- News
Five-Star Research
When Assistant Professor Michael Luca began studying online consumer reviews in 2008, then four-year-old Yelp.com, cofounded by Jeremy Stoppelman (MBA 2005), had 10 million... View Details
- January 2021
- Case
The FIRE Savings Calculator
By: Michael Parzen and Paul Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details