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(1,263)
- News (116)
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Show Results For
- All HBS Web
(1,263)
- News (116)
- Research (1,041)
- Events (2)
- Multimedia (5)
- Faculty Publications (792)
- May 1981 (Revised June 1994)
- Case
Stride Rite: Demand Forecasting Process (A)
Schleifer, Arthur, Jr. "Stride Rite: Demand Forecasting Process (A)." Harvard Business School Case 181-122, May 1981. (Revised June 1994.)
- 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.
- 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
- April 2010
- Supplement
Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug, Spreadsheet Supplement (Brief Case)
By: John A. Quelch and Heather Beckham
- 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.
- Research Summary
Collaborative Planning, Forecasting and Replenishment (CPFR)
Conducting research on new management concepts in supply chain management like CPFR. Identifying best practices in the nine-step-CPFR process. Major differences in CPFR-implementation in the U.S., Europe, South America, Asia and Africa.Linking e-marketplaces in the... View Details
- October 1979 (Revised December 1981)
- Case
Olympia Brewing Co.: Market Forecasting (B)
Reibstein, David J., and George S. Yip. "Olympia Brewing Co.: Market Forecasting (B)." Harvard Business School Case 580-028, October 1979. (Revised December 1981.)
- 28 Nov 2009
- News
The Flaws in Holiday Sales Forecasts
- 23 Oct 2014
- News
Forecasting the Future of the Cloud
- April 2008
- Teaching Note
Forecasting the Adoption of E-books (TN)
By: Elie Ofek
Teaching Note for [505063]. View Details
- 01 Feb 2002
- News
Europe Business Conference Forecasts the Future
Building on the success of last year's inaugural conference, the HBS European Club hosted the second annual Europe Business Conference on the HBS campus November 2-3. The event included some 50 panelists and speakers and drew over 350 participants from HBS and other... 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.)
- 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.)
- 15 Apr 2019
- News
How Companies Should Prepare Their Forecasts
- 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.
- 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.