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Show Results For
- All HBS Web
(3,341)
- News (504)
- Research (2,467)
- Events (39)
- Multimedia (17)
- Faculty Publications (1,591)
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- 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.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- September 2023 (Revised February 2024)
- Case
Accelerating with Caution: Forecasting and Managing birddogs' Growth
By: Mark Egan
As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working... View Details
Keywords: Inventory; Working Capital; Forecasting and Prediction; Organizational Change and Adaptation; Financing and Loans; Apparel and Accessories Industry
Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs' Growth." Harvard Business School Case 224-023, September 2023. (Revised February 2024.)
- 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
- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
- 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.
- Research Summary
Estimating Demand Uncertainty Using Judgmental Forecasts
Measuring demand uncertainty is a key activity in supply chain planning, but is difficult when demand history is unavailable such as for new products. One method that can be applied in such cases uses dispersion among forecasting experts as a measure of demand... View Details
- 24 Nov 2010
- Working Paper Summaries
Valuation When Cash Flow Forecasts Are Biased
Keywords: by Richard S. Ruback
- 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.)
- 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.)
- 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.
- 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.
- 21 Jul 2020
- Working Paper Summaries
Business Reopening Decisions and Demand Forecasts During the COVID-19 Pandemic
- April 2010
- Supplement
Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug, Faculty Spreadsheet (Brief Case)
By: John A. Quelch and Heather Beckham
- November 2001 (Revised September 2002)
- Case
Four Products: Predicting Diffusion
One of the critical tasks in the marketing of new innovations is predicting demand and rates of diffusion for those products. Focuses on four innovative products from different domains. Although one can speculate on the scope and rate of diffusion for each of these... View Details
Keywords: Forecasting and Prediction; Innovation and Invention; Product Launch; Demand and Consumers; Technology Adoption
Gourville, John T. "Four Products: Predicting Diffusion." Harvard Business School Case 502-045, November 2001. (Revised September 2002.)
- 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.)
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)
- Article
Shorting Demand and Predictability of Returns
By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Shorting Demand and Predictability of Returns." Journal of Investment Management 7, no. 1 (First Quarter 2009): 36–52.
- 2008
- Working Paper
CEO and CFO Career Penalties to Missing Quarterly Analysts Forecasts
By: Rick Mergenthaler, Shiva Rajgopal and Suraj Srinivasan
We find that missing the quarterly analyst consensus earnings forecast is associated with career penalties in the form of a reduced bonus, smaller equity grants, and a greater chance of forced dismissal for both CEOs and CFOs during the period 1993-2004. These results... View Details
Keywords: Earnings Management; Governing and Advisory Boards; Compensation and Benefits; Managerial Roles; Personal Development and Career
Mergenthaler, Rick, Shiva Rajgopal, and Suraj Srinivasan. "CEO and CFO Career Penalties to Missing Quarterly Analysts Forecasts." Harvard Business School Working Paper, No. 09-014, August 2008. (Revised June 2009.)
- January 2006 (Revised August 2006)
- Case
Four Products: Predicting Diffusion (2006)
One of the critical tasks in the marketing of new innovations is predicting demand and rates of diffusion for those products. Focuses on four innovative products from different domains. Although one can speculate on the scope and rate of diffusion for each of these... View Details
Keywords: Forecasting and Prediction; Innovation and Invention; Product Launch; Demand and Consumers; Technology Adoption
Gourville, John T. "Four Products: Predicting Diffusion (2006)." Harvard Business School Case 506-050, January 2006. (Revised August 2006.)