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(3,385)
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- Faculty Publications (1,615)
Show Results For
- All HBS Web
(3,385)
- News (517)
- Research (2,491)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,615)
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- 1997
- Chapter
On the Dynamics of Forecasting in Technologically Complex Environments: The Unexpectedly Long Old Age of Optical Lithography
Keywords: History; Information Technology; Situation or Environment; Complexity; Forecasting and Prediction; Technology Industry
Henderson, Rebecca M. "On the Dynamics of Forecasting in Technologically Complex Environments: The Unexpectedly Long Old Age of Optical Lithography." In Technological Innovation: Oversights and Foresights, edited by Raghu Garud, Praveen Rattan Nayyar, and Zur Baruch Shapira. New York: Cambridge University Press, 1997.
- 11 Jul 2018
- Working Paper Summaries
Channeled Attention and Stable Errors
- 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 2014
- Case
Honeywell and the Great Recession (A)
By: Sandra J. Sucher and Susan J. Winterberg
CEO Dave Cote spent six years turning around an ailing Honeywell and in 2008 Cote and his team face a new challenge: how to respond to the Great Recession. Cote does not want to give up the gains he made in transforming and unifying Honeywell. With a fall-off in... View Details
Keywords: Layoffs; Furloughs; Downsizing; Work Sharing; Short Time Work; Recessions; Earnings Forecast; Job Cuts and Outsourcing; Cost Management; Executive Compensation; Crisis Management; Financial Crisis; Manufacturing Industry
Sucher, Sandra J., and Susan J. Winterberg. "Honeywell and the Great Recession (A)." Harvard Business School Case 315-022, October 2014.
- September 2010
- Teaching Note
New Heritage Doll Company (Brief Case)
By: Timothy A. Luehrman and Heide Abelli
Teaching Note for 4212. View Details
- 2016
- Book
Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services
By: Elie Ofek, Eitan Muller and Barak Libai
This book bridges the gap between what academics know, and what innovation stakeholders—from managers, to investors, to analysts, to consumers—need to know about how new products and services are expected to perform in the marketplace. The book develops a compelling... View Details
Keywords: Innovation; Technology Diffusion; New Products; Customer Lifetime Value; Monetization Strategy; Social Influence; Innovation Adoption; Forecasting Demand; Commercialization; Marketing Strategy; Practice; Customer Value and Value Chain; Research; Innovation and Management; Technology Adoption; Forecasting and Prediction; Product Development
Ofek, Elie, Eitan Muller, and Barak Libai. Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services. University of Chicago Press, 2016.
- June 2009 (Revised March 2010)
- Supplement
Hansson Private Label, Inc.: Evaluating an Investment in Expansion, Student Spreadsheet (Brief Case)
By: Erik Stafford and Joel L. Heilprin
- February 2018 (Revised December 2020)
- Supplement
People Analytics at Teach For America (Data Set)
This data set is a supplement to the People Analytics at Teach For America (A) case. View Details
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Apparel and Accessories Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- June 2010 (Revised July 2011)
- Teaching Note
Classic Knitwear and Guardian: A Perfect Fit? (Brief Case)
By: John A. Quelch and Patricia Girardi
Teaching Note for 4217. View Details
- 2000
- Other Unpublished Work
New Trading Practices and the Short-run Predictability of the S&P 500: Market Volatility and Investor Confidence, Report to the Board of Directors of the New York Stock Exchange, Inc.
By: André Perold
- 09 Mar 2021
- Working Paper Summaries
Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement
- 2019
- Working Paper
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
- September–October 2020
- Article
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
- 30 Jun 2016
- Working Paper Summaries
The Dyadic Ties of Managers and Financial Analysts and Their Externality on a Firm's Information Environment
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
- 15 Jun 2004
- Conference Presentation
What is the Best Measure of Adiposity for Predicting Testosterone? Results from the Massachusetts Male Aging Study
By: William B. Simpson, Frances J. Hayes, Andre B. Araujo and John B. McKinlay
Keywords: Measurement and Metrics; Health Testing and Trials; Age Characteristics; Gender Characteristics; Massachusetts
Simpson, William B., Frances J. Hayes, Andre B. Araujo, and John B. McKinlay. "What is the Best Measure of Adiposity for Predicting Testosterone? Results from the Massachusetts Male Aging Study." Paper presented at the Enocrine Society Annual Meeting, New Orleans, LA, June 15, 2004.
- 04 Jun 2019
- Working Paper Summaries
Political Influence and Merger Antitrust Reviews
- June 18, 2014
- Blog Post
How to Kill Quarterly Earnings Guidance
By: Gabriel Karageorgiou, Daniela Saltzman and George Serafeim
Karageorgiou, Gabriel, Daniela Saltzman, and George Serafeim. "How to Kill Quarterly Earnings Guidance." HBR Blog Network (June 18, 2014). http://blogs.hbr.org/2014/06/how-to-kill-quarterly-earnings-guidance/.
- Research Summary
Overview
Associate Professor Yael Grushka-Cockayne's research and teaching activities focus on data science, forecasting, project management, and behavioral decision-making. View Details