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Show Results For
- All HBS Web
(1,275)
- News (115)
- Research (1,049)
- Events (3)
- Multimedia (6)
- Faculty Publications (800)
- 05 Feb 2008
- First Look
First Look: February 5, 2008
No abstract is available at this time. Download the paper: http://www.hbs.edu/research/pdf/08-057.pdf Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning Authors:Rogelio... View Details
Keywords: Martha Lagace
- Web
Fabrizio Serafini | MBA
efficiency and improve output through technological advancements was a revelation. Later, as an analyst in the energy commodities industry, I delved into the world of predictive modeling. This experience taught me the importance of utilizing technological tools to... View Details
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- April 2011
- Teaching Note
Prediction Markets at Google (TN)
Teaching Note for 607088. View Details
- September 2008 (Revised September 2010)
- Exercise
Exercise on Estimation
By: Jason Riis and John T. Gourville
This exercise is meant to assess students' level of confidence around everyday business and general knowledge questions, for the purpose of identifying where they are overconfident and underconfident. View Details
Riis, Jason, and John T. Gourville. "Exercise on Estimation." Harvard Business School Exercise 509-022, September 2008. (Revised September 2010.)
- winter 1996
- Article
The Market Pricing of Cash Flow Forecasts: Discounted Cash Flow vs. the Method of Comparables
By: S. N. Kaplan and R. S. Ruback
Kaplan, S. N., and R. S. Ruback. "The Market Pricing of Cash Flow Forecasts: Discounted Cash Flow vs. the Method of Comparables." Journal of Applied Corporate Finance 8, no. 4 (winter 1996): 45–60.
- 08 May 2018
- First Look
First Look at New Research and Ideas, May 8, 2018
1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think it comes from an algorithm than from a person. People showed this sort of algorithm appreciation when making numeric estimates about a visual stimulus... View Details
Keywords: Sean Silverthorne
- 01 Apr 1998
- News
Short Takes
Be Flexible In today's competitive and volatile business environment, depending on forecasting as the basis for planning and strategy has become a particularly risky way to operate. Especially vulnerable are manufacturing projects that... View Details
Keywords: Garry Emmons and Caroline Chauncey
- 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 forecasts to determine when to... View Details
- July 2005
- Case
Freemark Abbey Winery (Abridged)
Freemark Abbey must decide whether to harvest in view of the possibility of rain. Rain could damage the crop but delaying the harvest would be risky. On the other hand, rain could be beneficial and greatly increase the value of the resulting wine. This decision is... View Details
Keywords: Plant-Based Agribusiness; Forecasting and Prediction; Agriculture and Agribusiness Industry; Food and Beverage Industry
Krasker, William S. "Freemark Abbey Winery (Abridged)." Harvard Business School Case 606-004, July 2005.
- February 1997
- Case
Arch Communications Group, Inc.
By: Krishna G. Palepu and Sarayu Srinivasan
The market values Arch differently from analysts' values. View Details
Palepu, Krishna G., and Sarayu Srinivasan. "Arch Communications Group, Inc." Harvard Business School Case 197-047, February 1997.
- April 1998
- Case
X-IT Products, LLC
By: Marco Iansiti, Myra M. Hart and Barbara Feinberg
Two entrepreneurs, Andrew Ive and Aldo DiBerlardino, are poised to launch their first product. The decisions they make will have a crucial impact on the future of their company. View Details
Iansiti, Marco, Myra M. Hart, and Barbara Feinberg. "X-IT Products, LLC." Harvard Business School Case 698-084, April 1998.
- December 1995 (Revised March 1996)
- Case
Nestle and the Twenty-First Century
By: Ray A. Goldberg and Elizabeth Ashcroft
A leading food company rethinks its future in the global food system by major geographical areas. View Details
Keywords: Change Management; Forecasting and Prediction; Geographic Location; Globalization; Strategy; System; Food and Beverage Industry
Goldberg, Ray A., and Elizabeth Ashcroft. "Nestle and the Twenty-First Century." Harvard Business School Case 596-074, December 1995. (Revised March 1996.)
- 2017
- Working Paper
Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers
By: Elisabeth Kempf, Alberto Manconi and Oliver Spalt
Learning by doing matters for professional investors. We develop a new methodology to show that mutual fund managers outperform in industries where they have obtained experience on the job. The key to our identification strategy is that we look "inside" funds and... View Details
Kempf, Elisabeth, Alberto Manconi, and Oliver Spalt. "Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers." SSRN Working Paper Series, No. 2124896, May 2017.
- 18 Sep 2019
- Working Paper Summaries
Using Models to Persuade
Keywords: by Joshua Schwartzstein and Adi Sunderam
- 08 Jun 2009
- Research & Ideas
The Return of the Salesman
in an economy like this, such as car dealerships, for instance, which have closed across the country. And, of course, customers are likely to negotiate for better terms. Q: What are you working on now? A: I'm writing a history of the beginnings of the economic View Details
- 24 Jan 2012
- First Look
First Look: Jan. 24
Abstract We examine the effect of mandatory International Financial Reporting Standards (IFRS) adoption on firms' information environment. We find that after mandatory IFRS adoption, consensus forecast errors decrease for firms that... View Details
Keywords: Sean Silverthorne
- 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.)
- Web
B2B Sales and Distribution - Course Catalog
operations and analytics module will focus on how AI and a sales operations tool stack give visibility into sales activities and drive sales forecasting accuracy. Course Content and Organization: There are live cases and traditional cases... View Details