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  • All HBS Web  (3,354)
    • People  (1)
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← Page 106 of 3,354 Results →
  • 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
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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.
  • Article

The Artful Dodger: Answering the Wrong Question the Right Way

By: Todd Rogers and Michael I. Norton
What happens when speakers try to "dodge" a question they would rather not answer by answering a different question? In 4 studies, we show that listeners can fail to detect dodges when speakers answer similar-but objectively incorrect-questions (the "artful dodge"), a... View Details
Keywords: Interpersonal Communication; Goals and Objectives
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Rogers, Todd, and Michael I. Norton. "The Artful Dodger: Answering the Wrong Question the Right Way." Journal of Experimental Psychology: Applied 17, no. 2 (June 2011): 139–147.
  • 24 May 2011
  • First Look

First Look: May 24

  PublicationsClusters and Competitiveness: Porter's Contribution Authors:Christian H.M. Ketels Publication:Chap. 10 in Competition and Competitive Advantage: The Ideas of Michael Porter, edited by Robert... View Details
Keywords: Sean Silverthorne
  • 2021
  • Conference Presentation

An Algorithmic Framework for Fairness Elicitation

By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Keywords: Algorithmic Fairness; Machine Learning; Fairness; Framework; Mathematical Methods
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Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
  • August 2016
  • Article

The Activities of Buy-Side Analysts and the Determinants of Their Stock Recommendations

By: Lawrence D. Brown, Andrew C. Call, Michael B. Clement and Nathan Y. Sharp
We survey 344 buy-side analysts from 181 investment firms and conduct 16 detailed follow-up interviews to gain insights into the activities of buy-side analysts, including the determinants of their compensation, the inputs to their stock recommendations, their beliefs... View Details
Keywords: Analysis; Human Capital; Compensation and Benefits; Stocks; Financial Services Industry
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Brown, Lawrence D., Andrew C. Call, Michael B. Clement, and Nathan Y. Sharp. "The Activities of Buy-Side Analysts and the Determinants of Their Stock Recommendations." Journal of Accounting & Economics 62, no. 1 (August 2016): 139–156.
  • 26 Nov 2013
  • First Look

First Look: November 26

Thinking-Not Feeling-Jobs By: Waytz, Adam, and Michael I. Norton Abstract—Technological innovations have produced robots capable of jobs that, until recently, only humans could perform. The present research explores the psychology of... View Details
Keywords: Sean Silverthorne
  • June 2005 (Revised September 2008)
  • Class Lecture

Strategy: Building and Sustaining Competitive Advantage

By: Bharat N. Anand, Stephen P. Bradley, Pankaj Ghemawat, Tarun Khanna, Cynthia A. Montgomery, Michael E. Porter, Jan W. Rivkin, Michael G. Rukstad, John R. Wells and David B. Yoffie
It's great to have a blockbuster quarter or a revolutionary product or service, but true business excellence demands sustainability. Maintaining your competitive advantage requires a strategy that makes your business unique and carries you forward as the world around... View Details
Keywords: Competitive Advantage
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"Strategy: Building and Sustaining Competitive Advantage." Harvard Business School Class Lecture 705-509, June 2005. (Revised September 2008.)
  • Article

Strategic Disclosure: The Case of Business School Rankings

By: Michael Luca and Jonathan Smith
We empirically analyze disclosure decisions made by 240 MBA programs about which rankings to display on their websites. We present three main findings. First, consistent with theories of countersignaling, top schools are least likely to disclose their rankings, whereas... View Details
Keywords: Voluntary Disclosure; Shrouded Attributes; Information Unraveling; Rankings; Higher Education; Corporate Disclosure; Rank and Position
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Luca, Michael, and Jonathan Smith. "Strategic Disclosure: The Case of Business School Rankings." Journal of Economic Behavior & Organization 112 (April 2015): 17–25.
  • July 2022
  • Case

David Crane’s Clean(er) Energy Strategy at NRG

By: George Serafeim, Michael W. Toffel and Tom Quinn
In 2015, David Crane was the CEO of NRG, the second-largest energy producer in the United States. NRG got most of its power from fossil fuels, but Crane – hired as CEO in 2003 as NRG emerged from bankruptcy – had invested heavily in alternative energy, loudly... View Details
Keywords: Energy; Leadership; Corporate Governance; Transformation; Alternative Energy; Energy Generation; Climate Change; Corporate Accountability; Renewable Energy; Energy Industry; United States
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Serafeim, George, Michael W. Toffel, and Tom Quinn. "David Crane’s Clean(er) Energy Strategy at NRG." Harvard Business School Case 623-005, July 2022.
  • August 2001 (Revised October 2001)
  • Case

Shinsei Bank (A)

By: Michael Y. Yoshino and Perry Fagan
In a deal marking the first acquisition of a domestic Japanese financial institution by foreigners, a consortium of Western investors purchased the assets of the Long Term Credit Bank (LTCB) of Japan in March 2000. The new management renames the bank Shinsei Bank,... View Details
Keywords: Acquisition; Assets; Banks and Banking; Investment; Business or Company Management; Managerial Roles; Organizational Structure; Failure; Adaptation; Banking Industry; Japan
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Yoshino, Michael Y., and Perry Fagan. "Shinsei Bank (A)." Harvard Business School Case 302-036, August 2001. (Revised October 2001.)
  • November 2023
  • Article

Brokerage House Initial Public Offerings and Analyst Forecast Quality

By: Mark Bradshaw, Michael Drake, Joseph Pacelli and Brady Twedt
We examine how brokerage firm initial public offerings (IPOs) influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a... View Details
Keywords: IPOs; Research Analysts; "Brokerage Industry; Initial Public Offering; Employees; Behavior; Outcome or Result
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Bradshaw, Mark, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage House Initial Public Offerings and Analyst Forecast Quality." Management Science 69, no. 11 (November 2023): 7079–7094.
  • 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

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
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
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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

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
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Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
  • 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
Keywords: Income; Taxation; Economic Growth; United States
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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.
  • Article

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting

By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
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Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
  • 2022
  • Book

The Role of Innovation and Entrepreneurship in Economic Growth

By: Michael J. Andrews, Aaron Chatterji, Josh Lerner and Scott Stern
We live in an era in which innovation and entrepreneurship seem ubiquitous, particularly in regions like Silicon Valley, Boston, and the Research Triangle Park. But many metrics of economic growth, such as productivity growth and business dynamism, have been at best... View Details
Keywords: Productivity Growth; Production Technologies; Innovation and Invention; Entrepreneurship; Economic Growth; Competition; Organizational Design; Economic Slowdown and Stagnation
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Andrews, Michael J., Aaron Chatterji, Josh Lerner, and Scott Stern, eds. The Role of Innovation and Entrepreneurship in Economic Growth. Chicago: University of Chicago Press, 2022.
  • August 2020
  • Article

Improving Working Conditions in Global Supply Chains: The Role of Institutional Environments and Monitoring Program Design

By: Jodi L. Short, Michael W. Toffel and Andrea R. Hugill
Activism seeking to improve labor conditions in global supply chains has led many transnational corporations to adopt codes of conduct and monitor suppliers for compliance. Drawing on thousands of audits conducted by a major social auditor, we identify structural... View Details
Keywords: Monitoring; Supplier Relationship; Sustainability; Sustainability Management; Sustainable Operations; Sustainable Supply Chains; NGO; Operations; Supply Chain Management; Governance Compliance; Corporate Social Responsibility and Impact; Global Range; Working Conditions
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Short, Jodi L., Michael W. Toffel, and Andrea R. Hugill. "Improving Working Conditions in Global Supply Chains: The Role of Institutional Environments and Monitoring Program Design." ILR Review 73, no. 4 (August 2020): 873–912.
  • 2016
  • Working Paper

The Great Training Robbery

By: Michael Beer, Magnus Finnstrom and Derek Schrader
In 2012 U.S. corporations spent $164.2 billion on training and education. Overwhelming evidence and experience shows, however, that most companies are unable to transfer employee learning into changes in individual and organization behavior or improved financial... View Details
Keywords: Training; Organizations; Investment Return
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Beer, Michael, Magnus Finnstrom, and Derek Schrader. "The Great Training Robbery." Harvard Business School Working Paper, No. 16-121, April 2016.
  • 2016
  • Report

Problems Unsolved and a Nation Divided: The State of U.S. Competitiveness 2016

By: Michael E. Porter, Jan Rivkin, Mihir Desai and Manjari Raman
In this report, the authors synthesize their views on U.S. competitiveness and unveil the findings of the 2016 HBS surveys on U.S. competitiveness. Specifically, the report documents the faltering performance of the U.S. economy and the erosion of America’s business... View Details
Keywords: U.S. Competitiveness; Competitive Strategy; Macroeconomics; Government and Politics; United States
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Porter, Michael E., Jan Rivkin, Mihir Desai, and Manjari Raman. "Problems Unsolved and a Nation Divided: The State of U.S. Competitiveness 2016." Report, U.S. Competitiveness Project, Harvard Business School, September 2016.
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