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- All HBS Web (317)
- Faculty Publications (137)
- Web
Frequently Asked Questions | HBS Online
critical ratios. The course concludes with an introduction to forecasting and valuation. Financial Accounting was developed by leading Harvard Business School faculty and is delivered in an active learning environment based on the HBS... View Details
- 07 Aug 2000
- Research & Ideas
Rocket Science Retailing
forecasting; supply chain speed; inventory planning; and gathering accurate, available data. The following excerpt from their report in the Harvard Business Review shows how some of these companies are making the most of the data available to them to improve product... View Details
- Web
Harvard Business School
Baker Library Special Collections Exhibits More Exhibits Explore the Exhibit Student Pioneers The Value of Business Education The Golden Age of Black Business AASU Early Years & Influence AASU Founders Core Demands & Proposals Early Years... View Details
- 29 Aug 2006
- First Look
First Look: August 29, 2006
Using Judgmental Forecasts Authors:Vishal Gaur, Saravanan Kesavan, Ananth Raman, and Marshall L. Fisher Periodical:Manufacturing and Service Operations Management (forthcoming) Abstract Measuring demand... View Details
Keywords: Sean Silverthorne
- 01 Mar 2008
- News
Highly Energetic
The fourth annual Energy Symposium at HBS in October brought together industry executives, venture capitalists, and consultants to discuss the sector’s challenges and opportunities. Winds of change are turning hearts and minds as well as turbines: While View Details
- 25 Apr 2014
- News
Tapping into more effective water technologies
demand for fresh and pure water is forecast to exceed supply by 40 percent. "Few businesses are prepared for water scarcity and its impact upon operations and their supply chains," says Shenkar, adding that... View Details
- 17 Nov 2020
- In Practice
How Retailers Can Thrive in a Shopping Season Like No Other
stronger demand for home goods and furnishings. Many retailers may be wary about excess inventory and will pare back their ordering. The COVID-19 pandemic is also adversely affecting the supply chains of manufacturers who provide goods to... View Details
- 12 Jul 2010
- Research & Ideas
Rocket Science Retailing: A Practical Guide
Demand With total revenue likely to fluctuate much more than in the past, managers must be ready to take anticipatory action. Consequently, they should improve their ability to forecast aggregate demand.... View Details
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
Grushka-Cockayne Abstract—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... View Details
Keywords: Dina Gerdeman
- December 1970 (Revised September 2006)
- Case
Harmon Foods, Inc.
Prediction and shipment has been a scheduling and budgetary problem. Multiple regression is suggested as a solution. Evaluation of regression coefficients leads to better understanding of trend, seasonality, and promotion effectiveness. View Details
Keywords: Demand and Consumers; Production; Forecasting and Prediction; Budgets and Budgeting; Manufacturing Industry; Food and Beverage Industry
Whiston, William B. "Harmon Foods, Inc." Harvard Business School Case 171-248, December 1970. (Revised September 2006.)
- 16 Aug 2010
- Lessons from the Classroom
HBS Introduces Marketing Analysis Tools for Managers
marketing has undergone immense changes over the past decade, and those changes are driving an increasing need for data analysis. Marketing today combines both art and science: Managers must combine creative thinking with rigorous analysis when making decisions.... View Details
Keywords: by Sarah Jane Gilbert
- 02 Jun 2010
- First Look
First Look: June 2
PublicationsManaging the New Primary Care: The New Skills That Will Be Needed Author:Richard Bohmer Publication:Health Affairs 29, no. 5 (May 2010) Abstract Developing new models of primary care will demand a level of managerial... View Details
Keywords: Martha Lagace
- 08 Jan 2008
- First Look
First Look: January 8, 2008
PublicationsEstimating Demand Uncertainty Using Judgmental Forecasts Authors:Vishal Gaur, Saravanan Kesavan, Ananth Raman, and Marshall L. Fisher Periodical:Manufacturing and Service Operations Management 9,... View Details
Keywords: Martha Lagace
- 19 Dec 2006
- First Look
First Look: December 19, 2006
these forecast errors and past demand realizations to predict future demand (extrapolating). Categorizing deviations from optimal inventory policies is possible if we allow the... View Details
Keywords: Sean Silverthorne
- 09 Mar 2023
- Blog Post
Port Esbjerg: Deploying Offshore Wind
wind farm operator at the port. Running 24/7, the center monitors ships going to and from the turbines and crews working on them, as well as weather forecasts and energy demand View Details
- 18 Oct 2004
- Research & Ideas
The Bias of Wall Street Analysts
up until the point (and even after) the company tumbled off a cliff. Indeed, HBS professor Mark Bradshaw and collaborators Scott Richardson and Richard Sloan found that pre-year 2000 forecasts and recommendations done by Wall Street... View Details
- 18 May 2010
- First Look
First Look: May 18
forecast characteristic-related stock returns. For example, we show that large firms underperform following years when issuing firms are large relative to repurchasing firms. Our approach is useful for View Details
Keywords: Martha Lagace
- 10 May 2019
- Working Paper Summaries
Consumer Inertia and Market Power
Keywords: by Alexander MacKay and Marc Remer
- 06 May 2015
- What Do You Think?
Are You Ready for Personalized Predictive Analytics?
individuals. All forecasting is a case in point. When the application becomes personal, it raises many questions that will have to be addressed. In this case, should we be careful what we wish for? What do you think? Original Article In... View Details
Keywords: by James Heskett
- April 2010
- Teaching Note
Four Products (2008): Predicting Diffusion (TN)
Teaching Note for 508103. View Details