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  • All HBS Web  (7,876)
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Show Results For

  • All HBS Web  (7,876)
    • News  (2,243)
    • Research  (4,981)
    • Events  (40)
    • Multimedia  (239)
  • Faculty Publications  (4,105)
← Page 259 of 7,876 Results →
  • January 2024
  • Case

Mariam Braimah: Designing a Career in Tech

By: Lakshmi Ramarajan, Hannah Riley Bowles and Michael Norris
In 2022, Mariam Braimah, a digital designer working at Netflix, is considering the next move in her career. She has spent several years at Netflix, and in her spare time, using her savings, has founded a design-focused fellowship program and a consumer insights company... View Details
Keywords: Business Startups; Interpersonal Communication; Entrepreneurship; Personal Development and Career; Power and Influence; Technology Industry; Nigeria; United States; New York (city, NY); San Francisco
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Ramarajan, Lakshmi, Hannah Riley Bowles, and Michael Norris. "Mariam Braimah: Designing a Career in Tech." Harvard Business School Case 424-030, January 2024.
  • 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
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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.
  • August 2023 (Revised July 2024)
  • Technical Note

Power-to-X

By: Willy Shih, Michael W. Toffel and Kelsey Carter
To reduce greenhouse gas emissions that were contributing to climate change, the world needs to transition from fossil fuels to renewable energy sources. Power-to-X (PtX) refers to an array of processes that convert electricity (power) to various gaseous and liquid... View Details
Keywords: Environmental Strategies; Climate Change; Environmental Sustainability; Transition; Renewable Energy; Energy Industry
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Shih, Willy, Michael W. Toffel, and Kelsey Carter. "Power-to-X." Harvard Business School Technical Note 624-038, August 2023. (Revised July 2024.)
  • April 2024 (Revised April 2025)
  • Supplement

Driving Decarbonization at BMW

By: Shirley Lu, George Serafeim and Michael W. Toffel
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Lu, Shirley, George Serafeim, and Michael W. Toffel. "Driving Decarbonization at BMW." Harvard Business School PowerPoint Supplement 124-020, April 2024. (Revised April 2025.)
  • 2003
  • Article

Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns

By: Michael B. Clement, Richard Frankel and Jeffrey Miller
In this study we examine the association among confirming management forecasts, stock prices, and analyst expectations. Confirming management forecasts are voluntary disclosures by management that corroborate existing market expectations about future earnings. This... View Details
Keywords: Forecasting and Prediction; Corporate Disclosure; Price; Stocks; Investment Return
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Clement, Michael B., Richard Frankel, and Jeffrey Miller. "Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns." Journal of Accounting Research 41, no. 4 (2003): 653–679.
  • December 2007
  • Article

The Roles of Task-Specific Experience and Innate Ability in Understanding Analyst Performance

By: Michael B. Clement, Lisa Koonce and Thomas Lopez
Considerable debate exists about what analyst experience measures and whether analysts learn from their experiences. Extant research has argued that once innate ability is considered, analysts’ general and firm-specific experiences are not relevant to understanding... View Details
Keywords: Experience and Expertise; Learning; Performance Evaluation; Forecasting and Prediction; Financial Services Industry
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Clement, Michael B., Lisa Koonce, and Thomas Lopez. "The Roles of Task-Specific Experience and Innate Ability in Understanding Analyst Performance." Journal of Accounting & Economics 44, no. 3 (December 2007): 378–398.
  • October–November 2019
  • Article

A New Perspective on Post-Earnings-Announcement-Drift: Using a Relative Drift Measure

By: Michael Clement, Joonho Lee and Kevin Ow Yong
Prior research finds that there is a delayed reaction to both analyst-based earnings surprises and random-walk-based earnings surprises. Focusing on the market reaction from the post-announcement window, prior studies show that analyst-based drift is larger than random... View Details
Keywords: Business Earnings; Financial Reporting; Market Timing; Behavioral Finance
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Clement, Michael, Joonho Lee, and Kevin Ow Yong. "A New Perspective on Post-Earnings-Announcement-Drift: Using a Relative Drift Measure." Journal of Business Finance & Accounting 46, no. 9–10 (October–November 2019): 1123–1143.
  • November 2022 (Revised April 2025)
  • Teaching Note

Driving Decarbonization at BMW - Teaching Note

By: Shirley Lu, George Serafeim and Michael W. Toffel
Teaching note in support of the case "Driving Decarbonization at BMW" (HBS No. 123-008) View Details
Keywords: Decarbonization; Environment; Sustainability; Carbon Accounting; Carbon; Carbon Abatement; Electric Vehicles; Automobiles; Transportation; Environmental Accounting; Accounting; Environmental Management; Environmental Sustainability; Strategy; Technological Innovation; Supply Chain; Business and Stakeholder Relations; Climate Change; Transportation Industry; Auto Industry; Germany; Europe; China; United States
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Lu, Shirley, George Serafeim, and Michael W. Toffel. "Driving Decarbonization at BMW." Harvard Business School Teaching Note 123-049, November 2022. (Revised April 2025.)
  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for Homebuyer 2

By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 2." Harvard Business School Exercise 923-017, October 2022.
  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for iBuyer 3

By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 3." Harvard Business School Exercise 923-021, October 2022.
  • October 2022
  • Exercise

Shanty Real Estate: Updated Confidential Information for Homebuyer

By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Market Timing; Measurement and Metrics
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Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for Homebuyer." Harvard Business School Exercise 923-022, October 2022.
  • August 2022 (Revised March 2023)
  • Technical Note

Real Estate iBuying

By: Michael Luca, Jesse M. Shapiro and Julia Kelley
This note provides an overview of real estate iBuying, or instant buying, a business model that involves buying homes and then reselling them at a profit. Introduced in the mid-2010s, iBuying streamlined the process of selling a home by offering instant, all-cash... View Details
Keywords: iBuying; Profit; Business Model; Technological Innovation; Real Estate Industry
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Luca, Michael, Jesse M. Shapiro, and Julia Kelley. "Real Estate iBuying." Harvard Business School Technical Note 923-001, August 2022. (Revised March 2023.)
  • March 2022 (Revised January 2025)
  • Technical Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised January 2025.)
  • May 2021
  • Article

Is No News (Perceived as) Bad News? An Experimental Investigation of Information Disclosure

By: Ginger Zhe Jin, Michael Luca and Daniel Martin
This paper uses laboratory experiments to directly test a central prediction of disclosure theory: that strategic forces can lead those who possess private information to voluntarily provide it. In a simple sender-receiver game, we find that senders disclose favorable... View Details
Keywords: Communication Games; Disclosure; Unraveling; Experiments; Information; Product; Quality; Communication; Consumer Behavior
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Jin, Ginger Zhe, Michael Luca, and Daniel Martin. "Is No News (Perceived as) Bad News? An Experimental Investigation of Information Disclosure." American Economic Journal: Microeconomics 13, no. 2 (May 2021): 141–173.
  • March 2021 (Revised October 2021)
  • Supplement

Student Success at Georgia State University

By: Michael W. Toffel, Robin Mendelson and Julia Kelley
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Toffel, Michael W., Robin Mendelson, and Julia Kelley. "Student Success at Georgia State University." Harvard Business School PowerPoint Supplement 621-063, March 2021. (Revised October 2021.)
  • February 2021 (Revised February 2021)
  • Case

World of Dreams Entertainment Group: Building a Resilient Business

By: Lynda M. Applegate, Sarah Endline and Michael Norris
In 2021, Ron DeShay, former American Idol producer, is launching his new business venture: World of Dreams Entertainment Group. World of Dreams rethought the existing TV production model, giving audiences more power to directly influence the creation of shows through a... View Details
Keywords: Television Entertainment; Media; Social Issues; Sports; Business Ventures; Digital Platforms; Entertainment and Recreation Industry; United States; California; Los Angeles
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Applegate, Lynda M., Sarah Endline, and Michael Norris. "World of Dreams Entertainment Group: Building a Resilient Business." Harvard Business School Case 821-039, February 2021. (Revised February 2021.)
  • October 2020
  • Article

Peer Influence on Trade Credit

By: Daniel Gyimah, Michael Machokoto and Anywhere (Siko) Sikochi
We examine the influence of peer firms on trade credit policies of listed firms in the United States. We posit and find evidence that firms mimic their peers in formulating trade credit policies. The findings are more pronounced for firms in highly competitive product... View Details
Keywords: Trade Credit; Peer Effects; Product Market Competition; Trade; Credit; Policy; Competition
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Gyimah, Daniel, Michael Machokoto, and Anywhere (Siko) Sikochi. "Peer Influence on Trade Credit." Journal of Corporate Finance 64 (October 2020).
  • January 2021
  • Article

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
  • 2021
  • Working Paper

Shareholder Activism and Firms’ Voluntary Disclosure of Climate Change Risks

By: Caroline Flammer, Michael W. Toffel and Kala Viswanathan
This paper examines whether—in the absence of mandated disclosure requirements—shareholder activism can elicit greater disclosure of firms’ exposure to climate change risks. We find that environmental shareholder activism increases the voluntary disclosure of climate... View Details
Keywords: Shareholder Activism; Climate Risk; Corporate Accountability; Climate Change; Corporate Disclosure; Corporate Governance; Corporate Social Responsibility and Impact; Business and Shareholder Relations; Risk and Uncertainty; Natural Environment; Environmental Sustainability; Financial Services Industry; United States
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Flammer, Caroline, Michael W. Toffel, and Kala Viswanathan. "Shareholder Activism and Firms' Voluntary Disclosure of Climate Change Risks." Harvard Business School Working Paper, No. 20-049, October 2019. (Revised March 2021.)
  • 2018
  • Working Paper

Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e., nowcasting and forecasting) and by providing additional context about how the local... View Details
Keywords: Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Forecasting and Prediction
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change." NBER Working Paper Series, No. 24952, August 2018.
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