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Show Results For
- All HBS Web
(1,288)
- News (115)
- Research (1,047)
- Events (3)
- Multimedia (6)
- Faculty Publications (799)
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- April 2008
- Teaching Note
Forecasting the Adoption of E-books (TN)
By: Elie Ofek
Teaching Note for [505063]. View Details
- January 1982 (Revised June 1983)
- Case
Unitrode Corp. (D): Longer-Range Forecasting and Planning
Schleifer, Arthur, Jr. "Unitrode Corp. (D): Longer-Range Forecasting and Planning." Harvard Business School Case 182-181, January 1982. (Revised June 1983.)
- May 1981
- Supplement
Stride Rite: Demand Forecasting Process (B)
Schleifer, Arthur, Jr. "Stride Rite: Demand Forecasting Process (B)." Harvard Business School Supplement 181-123, May 1981.
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- May 2007
- Case
Demand and Supply Forecasting at Air Products - Electronics Specialty Materials
Explores the process and inputs behind financial and operational forecasting in the Electronic Specialty Materials unit at Air Products and Chemicals, a global chemical company. The protagonist, John Goldberg, grapples with how to better integrate the two forecasting... View Details
Keywords: Demand and Consumers; Operations; Forecasting and Prediction; Supply and Industry; Finance; Chemical Industry
Kulp, Susan L., Taylor Randall, Shoshanah Cohen, and Zahra Kanji. "Demand and Supply Forecasting at Air Products - Electronics Specialty Materials." Harvard Business School Case 107-018, May 2007.
- fall 2007
- Article
Estimating Demand Uncertainty Using Judgmental Forecasts
By: Vishal Gaur, Saravanan Kesavan, Ananth Raman and Marshall L. Fisher
Gaur, Vishal, Saravanan Kesavan, Ananth Raman, and Marshall L. Fisher. "Estimating Demand Uncertainty Using Judgmental Forecasts." Manufacturing & Service Operations Management 9, no. 4 (fall 2007).
- 13 Apr 2007
- Working Paper Summaries
Incorporating Price and Inventory Endogeneity in Firm-Level Sales Forecasting
- Article
Bringing Probability Judgments into Policy Debates via Forecasting Tournaments
By: Philip E. Tetlock, Barbara A. Mellers and J. Peter Scoblic
Political debates often suffer from vague-verbiage predictions that make it difficult to assess accuracy and improve policy. A tournament sponsored by the U.S. intelligence community revealed ways in which forecasters can better use probability estimates to make... View Details
Keywords: Tournaments; Politics; Depolarization; Knowledge Creation; Forecasting and Prediction; Government and Politics
Tetlock, Philip E., Barbara A. Mellers, and J. Peter Scoblic. "Bringing Probability Judgments into Policy Debates via Forecasting Tournaments." Science 355, no. 6324 (February 3, 2017): 481–483.
- September 2010
- Article
Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?
By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
- October 1979 (Revised December 1981)
- Case
Olympia Brewing Co.: Market Forecasting (C)
Reibstein, David J., and George S. Yip. "Olympia Brewing Co.: Market Forecasting (C)." Harvard Business School Case 580-029, October 1979. (Revised December 1981.)
- 24 Sep 2008
- Working Paper Summaries
CEO and CFO Career Penalties to Missing Quarterly Analysts Forecasts
- January 1977 (Revised July 1985)
- Case
Perkin-Elmer Instrument Division: Plans and Forecasts (Revised)
Wheelwright, Steven C. "Perkin-Elmer Instrument Division: Plans and Forecasts (Revised)." Harvard Business School Case 677-150, January 1977. (Revised July 1985.)
- 2011
- Chapter
The Analyst Recommendation and Earnings Forecast Anomaly
By: George Serafeim
Serafeim, George. "The Analyst Recommendation and Earnings Forecast Anomaly." Chap. 3 in The Handbook of Equity Market Anomalies: Translating Market Inefficiencies into Effective Investment Strategies, edited by Len Zacks, 63–91. John Wiley & Sons, 2011.
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- Article
The Wisdom of Competitive Crowds
By: Kenneth C. Lichtendahl, Yael Grushka-Cockayne and Phillip E. Pfeifer
When several individuals are asked to forecast an uncertain quantity, they often face implicit or explicit incentives to be the most accurate. Despite the desire to elicit honest forecasts, such competition induces forecasters to report strategically and nontruthfully.... View Details
Lichtendahl, Kenneth C., Yael Grushka-Cockayne, and Phillip E. Pfeifer. "The Wisdom of Competitive Crowds." Operations Research 61, no. 6 (November–December 2013): 1383–1398. (*Finalist in the Decision Analysis Society Publication Award, 2015.)
- October 1992 (Revised September 1993)
- Case
L.L. Bean, Inc.: Item Forecasting and Inventory Management
L.L. Bean must make stocking decisions on thousands of items sold through its catalogs. In many cases, orders must be placed with vendors twelve or more weeks before a catalog lands on a customer's doorstep, and commitments cannot be changed thereafter. As a result,... View Details
Keywords: Forecasting and Prediction; Risk Management; Cost Management; Risk and Uncertainty; Demand and Consumers; Order Taking and Fulfillment; Retail Industry; United States
Schleifer, Arthur, Jr. "L.L. Bean, Inc.: Item Forecasting and Inventory Management." Harvard Business School Case 893-003, October 1992. (Revised September 1993.)
- February 2024
- Supplement
Data-Driven Denim: Financial Forecasting at Levi Strauss: Exhibits
By: Mark Egan
- 2013
- Article
What Goes Up Must Come Down? Experimental Evidence on Intuitive Forecasting
By: John Beshears, James J. Choi, Andreas Fuster, David Laibson and Brigitte C. Madrian
Do laboratory subjects correctly perceive the dynamics of a mean-reverting time series? In our experiment, subjects receive historical data and make forecasts at different horizons. The time series process that we use features short-run momentum and long-run partial... View Details
Beshears, John, James J. Choi, Andreas Fuster, David Laibson, and Brigitte C. Madrian. "What Goes Up Must Come Down? Experimental Evidence on Intuitive Forecasting." American Economic Review: Papers and Proceedings 103, no. 3 (May 2013): 570–574.
- January 1982
- Case
New York Telephone Co.: The 1975 Revenue Forecast
Schleifer, Arthur, Jr. "New York Telephone Co.: The 1975 Revenue Forecast." Harvard Business School Case 182-060, January 1982.