Filter Results:
(2,883)
Show Results For
- All HBS Web
(2,883)
- News (476)
- Research (2,206)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,425)
Show Results For
- All HBS Web
(2,883)
- News (476)
- Research (2,206)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,425)
- June 2023
- Case
Tractor Supply Co
By: David L. Ager and Michael A. Roberto
In February 2023, Hal Lawton, CEO of Tractor Supply Co, the largest farm and ranch retailer in the United States reflected on the company’s 70% growth between 2019 and 2022. Economists had begun to predict an economic downturn and experts were predicting softening... View Details
Keywords: COVID-19 Pandemic; Demand and Consumers; Economic Slowdown and Stagnation; Organizational Change and Adaptation; Retail Industry
Ager, David L., and Michael A. Roberto. "Tractor Supply Co." Harvard Business School Case 923-302, June 2023.
- 22 Dec 2015
- News
Algorithms Need Managers, Too
- April 2003 (Revised December 2006)
- Case
ZARA: Fast Fashion
By: Pankaj Ghemawat and Jose Luis Nueno
Focuses on Inditex, an apparel retailer from Spain, which has set up an extremely quick response system for its ZARA chain. Instead of predicting months before a season starts what women will want to wear, ZARA observes what's selling and what's not and continuously... View Details
Keywords: Organizational Change and Adaptation; Multinational Firms and Management; Competitive Advantage; Manufacturing Industry; Apparel and Accessories Industry; Retail Industry; Spain
Ghemawat, Pankaj, and Jose Luis Nueno. "ZARA: Fast Fashion." Harvard Business School Case 703-497, April 2003. (Revised December 2006.)
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement... View Details
- February 2018 (Revised December 2020)
- Case
People Analytics at Teach For America (A)
By: Jeffrey T. Polzer and Julia Kelley
As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former... View Details
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised December 2020.)
- February 2006 (Revised September 2007)
- Background Note
Winner-Take-All in Networked Markets
Discusses platform structure in new networked markets, that is, whether a market that exhibits network effects will be served by a single platform or by rival platforms. Defines "platforms" and "platform structure"; describes factors that influence the odds that a... View Details
Keywords: Forecasting and Prediction; Growth Management; Network Effects; Digital Platforms; Internet and the Web
Eisenmann, Thomas R. "Winner-Take-All in Networked Markets." Harvard Business School Background Note 806-131, February 2006. (Revised September 2007.)
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 09 Mar 2021
- Working Paper Summaries
Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement
- 2005
- Working Paper
Investor Sentiment and the Cross-Section of Stock Returns
By: Malcolm Baker and Jeffrey Wurgler
We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by studying... View Details
Baker, Malcolm, and Jeffrey Wurgler. "Investor Sentiment and the Cross-Section of Stock Returns." NBER Working Paper Series, No. w10449, April 2005. (First draft in 2003.)
- 2011
- Chapter
Prospective Codes Fufilled: A Potential Neural Mechanism of Will
By: Thalia Wheatley and Christine E. Looser
One of my few shortcomings is that I can’t predict the future.
Lars Ulrich, Metallica.
Lars Ulrich was right and wrong. He was right in the way we most often think about the future—as a long stretch of time during which multiply... View Details
Lars Ulrich, Metallica.
Lars Ulrich was right and wrong. He was right in the way we most often think about the future—as a long stretch of time during which multiply... View Details
Keywords: Free Will; Neuroscience; Responsibility; Prospection; Forecasting and Prediction; Science; Cognition and Thinking
Wheatley, Thalia, and Christine E. Looser. "Prospective Codes Fufilled: A Potential Neural Mechanism of Will." Chap. 13 in Conscious Will and Responsibility: A Tribute to Benjamin Libet, edited by Walter Sinnott-Armstrong and Lynn Nadel, 146–158. New York: Oxford University Press, 2011.
- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- August 2006
- Article
Investor Sentiment and the Cross Section of Stock Returns
By: Malcolm Baker and Jeffrey Wurgler
We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by... View Details
Keywords: Behavioral Finance; Stocks; Investment Return; Forecasting and Prediction; Motivation and Incentives; Risk and Uncertainty; Volatility
Baker, Malcolm, and Jeffrey Wurgler. "Investor Sentiment and the Cross Section of Stock Returns." Journal of Finance 61, no. 4 (August 2006): 1645–1680.
- 06 Oct 2008
- Research & Ideas
Updating a Classic: Writing a Great Business Plan
business plan and its relation to new venture formation. I tried to explain that a business plan can't be a tightly crafted prediction of the future but rather a depiction of how events might unfold and a road map for change. I emphasized... View Details
Keywords: by Sean Silverthorne
- 28 Jul 2009
- Research Event
Business Summit: Real Estate
next steps in real estate? This panel discussed the global real estate crisis, the future of securitization, and predictions for the future of the U.S. real estate market. After years of abundant capital and rising asset prices, the... View Details
- 05 Dec 2012
- What Do You Think?
Should Managers Bother Listening to Predictions?
Summing Up Can Managers Afford to Ignore Predictions in Planning? There is a healthy skepticism when it comes to the reliability of predictions as a basis for planning. Donald Kortalon, commenting on this... View Details
Keywords: by James Heskett
- October 2002 (Revised May 2021)
- Case
Group Process in the Challenger Launch Decision (A)
By: Amy C. Edmondson and Laura Feldman
The night before the launch of the Challenger shuttle, officials from Morton Thiokol (Solid Rocket Booster manufacturer) and NASA participated in a teleconference to discuss whether to postpone the shuttle launch due to predicted low temperatures at Kennedy Space... View Details
Keywords: Process Analysis; Problems and Challenges; Groups and Teams; Engineering; Risk Management; Analysis; Decision Making; Aerospace Industry; United States
Edmondson, Amy C., and Laura Feldman. "Group Process in the Challenger Launch Decision (A)." Harvard Business School Case 603-068, October 2002. (Revised May 2021.)
- December 2024
- Article
Is There Too Little Antitrust Enforcement in the U.S. Hospital Sector?
By: Zarek Brot-Goldberg, Zack Cooper, Stuart Craig and Lev Klarnet
From 2002 to 2020, there were over 1,000 mergers of U.S. hospitals. During this period, the Federal Trade Commission (FTC) took enforcement actions against 13 transactions. However, using the FTC’s standard screening tools, we find that 20% of these mergers could have... View Details
Keywords: Monopoly; Mergers and Acquisitions; Governing Rules, Regulations, and Reforms; Competition; Health Industry
Brot-Goldberg, Zarek, Zack Cooper, Stuart Craig, and Lev Klarnet. "Is There Too Little Antitrust Enforcement in the U.S. Hospital Sector?" American Economic Review: Insights 6, no. 4 (December 2024): 526–542.
- 2021
- Working Paper
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received... View Details
- Research Summary
Entrepreneurial Management
Howard H. Stevenson is researching and writing on the need for and consequences of predictability. In work designed for a managerial audience, he is examining the roles played by organizations, cultures, and ethical systems in enabling individuals to predict the... View Details