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Show Results For
- All HBS Web
(2,834)
- News (448)
- Research (2,171)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- 18 Mar 2014
- First Look
First Look: March 18
simplicity of accepting an equal split with the costs of negotiating a differentiated allocation of founder equity. We test the predictions of the theory on a proprietary dataset comprised of 1,476 founders in 511 entrepreneurial... View Details
Keywords: Sean Silverthorne
- 04 Dec 2018
- First Look
New Research and Ideas, December 4, 2018
certification programs are understandable and largely predictable if the ideas, interests, and power of key actors are accurately assessed. When alignment and power are high, Northern programs will likely succeed. When they are low, they... View Details
Keywords: Dina Gerdeman
- 1972
- Chapter
Optimal Utilization of Market Forecasts and the Evaluation of Portfolio Performance
By: Michael Jensen
Keywords: Investment Portfolio; Financial Markets; Forecasting and Prediction; Performance Evaluation
Jensen, Michael. "Optimal Utilization of Market Forecasts and the Evaluation of Portfolio Performance." In Mathematical Methods in Finance, edited by G. P. Szego and Karl Shell. North-Holland Publishing Company, 1972.
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- January 2021
- Article
Using Models to Persuade
By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
- 2018
- Working Paper
Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.
By: Xiaojia Guo, Kenneth C. Lichtendahl Jr. and Yael Grushka-Cockayne
We introduce an exponential smoothing model that a manager can use to forecast the demand of a new product or service. The model has five features that make it suitable for accurately forecasting product life cycles at scale. First, the trend in our model follows the... View Details
Keywords: New Product Development; Demand Forecasting; Product Adoption; Innovation Diffusion; Product Development; Demand and Consumers; Forecasting and Prediction; Adoption
Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October 2018. (Darden Business School Working Paper, No. 2805244, July 2016.)
- 05 Jul 2017
- What Do You Think?
Can Innovation Save Us From Ourselves?
Summing Up Do We Need to Give More Attention to the Dark Side of Innovation? Innovation may be able to help us deal with problems such as famine, pollution, and even global warming. But unless it can prove to be just as effective in combating destructive human traits... View Details
- 24 Aug 2010
- First Look
First Look: August 24
The Role of Employee Proactivity Authors:A. M. Grant, F. Gino, and D. Hofmann Publication:Academy of Management Journal (forthcoming) Abstract Extraversion predicts leadership emergence and effectiveness, but do groups perform more... View Details
Keywords: Sean Silverthorne
- 24 Apr 2007
- First Look
First Look: April 24, 2007
account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of coagglomeration and use data from the Census... View Details
Keywords: Sean Silverthorne
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- October 2002 (Revised January 2013)
- Case
Krispy Kreme Doughnuts
By: Paul M. Healy
Krispy Kreme is a rapidly growing firm with a business model that has excited Wall Street. View Details
Keywords: Business Growth and Maturation; Business Model; Financial Statements; Forecasting and Prediction; Financial Reporting; Performance Evaluation; Business Strategy; Food and Beverage Industry; New York (city, NY)
Healy, Paul M. "Krispy Kreme Doughnuts." Harvard Business School Case 103-018, October 2002. (Revised January 2013.)
- January 2001 (Revised March 2002)
- Case
Ford Motor Company's Value Enhancement Plan
By: Andre F. Perold
In April 2000, Ford Motor Co. announced a shareholder Value Enhancement Plan (VEP) to significantly recapitalize the firm's ownership structure. Ford had accumulated $23 billion in cash reserves and under the VEP would return as much as $10 billion of this cash to... View Details
Keywords: Restructuring; Forecasting and Prediction; Capital Structure; Cash; Financial Liquidity; Policy; Business and Shareholder Relations; Value; Auto Industry
Perold, Andre F. "Ford Motor Company's Value Enhancement Plan." Harvard Business School Case 201-079, January 2001. (Revised March 2002.)
- 19 Feb 2008
- News
The Scoop Behind the Silver Screen
Clayton up this weekend for seven Academy Awards. (Any predictions out there on the winners?) Samuels drew an analogy between the real estate industry and filmmaking. “I look at a movie script the same way I look at an empty piece of... View Details
- May 2010
- Supplement
Tremblant Capital Group Exhibits (CW)
By: Robin Greenwood
Brett Barakett, CEO and founder of Tremblant Capital Group, a New York-based hedge fund, must decide what to do with his fund's position in Green Mountain Coffee Roasters, which has dropped in value by more than 40 percent in recent months. Tremblant is a hedge fund... View Details
- June 2010
- Teaching Note
The Southeast Bank of Texas in the Financial Crisis (TN)
By: Robert C. Pozen and Benjamin Greff Schneider
Teaching Note for 310141. View Details
- March 2017 (Revised March 2022)
- Case
Flashion: Art vs. Science in Fashion Retailing
By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
- 07 Dec 2015
- Research & Ideas
Why Immigrant Workers Cluster in Particular Industries
economists predict the effects of changes in immigration of specific ethnic groups. “This notion that if you opened up the immigration spigot then entrepreneurship would happen everywhere is probably not true,” he says. “But if you were... View Details
- 01 Oct 1997
- News
Antitrust in Historical Perspective
upside down and might end up destroying it altogether. Some people even predicted that one huge trust would come to dominate the entire American economy. This may seem funny now, but in the context of the times it did not. At the turn of... View Details
Keywords: Thomas K. McCraw and Richard S. Tedlow
- 10 Nov 2015
- First Look
November 10, 2015
valuation estimates to examine whether analysts reliably assess the risk surrounding a firm's fundamental value. We find that the spread in analysts' state-side contingent valuations captures the riskiness of operations and predicts the... View Details
Keywords: Sean Silverthorne
- 19 Feb 2014
- Research & Ideas
Racist Umpires and Monetary Ministers
otherwise." In the cases of umpires and ministers, Parsons's work falls under the broader category of incentive research. "They are about what causes people to behave in predictable ways, and how that changes over time," he... View Details