Filter Results:
(1,275)
Show Results For
- All HBS Web
(1,275)
- News (115)
- Research (1,050)
- Events (3)
- Multimedia (6)
- Faculty Publications (801)
Show Results For
- All HBS Web
(1,275)
- News (115)
- Research (1,050)
- Events (3)
- Multimedia (6)
- Faculty Publications (801)
- 07 May 2019
- News
How Sonja Hoel Perkins Saved John McAfee from an Especially Bad Deal
Its forecasted revenue growth rate is more than 90 percent, and its pre-tax margins run between 80 and 90 percent of sales. The problem is that John is seriously considering selling McAfee to Symantec.” That didn’t happen, according to... View Details
- 01 Sep 2010
- News
Faculty Books
offerings, and fatter profit margins. Featuring case studies from around the world, this book shows how to mine sales data to identify “home-run” products, reinvent forecasting and pricing strategies, and extract maximum value from... View Details
- 28 Sep 2010
- First Look
First Look: September 28, 2010
information environment. We find that after mandatory IFRS adoption, consensus forecast errors decrease for firms that mandatorily adopt IFRS relative to forecast errors of other firms. We also find... View Details
Keywords: Sean Silverthorne
- 25 Feb 2015
- Lessons from the Classroom
Scholars and Students Unpack the Digital Business Revolution
hedge fund, an Amazon employee focused on retail data, and a forecaster at General Electric," says HBS David Sarnoff Professor of Business Administration Marco Iansiti, who serves as faculty chair of the initiative and head of the... View Details
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 2010
- Working Paper
A New Model of Leadership (PDF File of Keynote Slides)
By: Michael C. Jensen and Allan L. Scherr
In this paper we provide a new definition of leadership that gives organizations and individuals access to new power, performance and accomplishment. In our model leadership consists of four critical elements The creation of a vision for the future that represents a... View Details
- 18 Jan 2012
- News
Charter Supporter
headquartered in Waterloo, Wisconsin. While there, she set up Trek’s sales and distribution companies across Europe and worked in forecasting and planning. Since 2007, she has devoted her energy and skills full time to the nonprofit... View Details
- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
- May 2007 (Revised April 2008)
- Case
Tiger-Tread
By: Rohit Deshpande and Richard Cardozo
Describes an innovative product launch for which a marketing plan and a breakeven analysis are needed. To introduce students to breakeven analysis and the essentials of developing a marketing plan. View Details
Deshpande, Rohit, and Richard Cardozo. "Tiger-Tread." Harvard Business School Case 507-077, May 2007. (Revised April 2008.)
- July 1986 (Revised August 1987)
- Background Note
Note on Comparative Advantage
By: David B. Yoffie and John J. Coleman
Discusses David Ricardo's theory of comparative advantage and the refinement of his model developed by Eli Heckscher and Bertil Ohlin. Presents several criticisms of the Heckscher-Ohlin theory, including Wassily Leontief's empirical demonstration that the nature of... View Details
Yoffie, David B., and John J. Coleman. "Note on Comparative Advantage." Harvard Business School Background Note 387-023, July 1986. (Revised August 1987.)
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- November 1994 (Revised February 1996)
- Case
Toy World, Inc.
By: W. Carl Kester
A shift from seasonal to level production of toys will change the seasonal cycle of Toy World's working capital needs and necessitate new bank credit arrangements. A rewritten version of an earlier case. View Details
Keywords: Working Capital; Business Cycles; Cash Flow; Forecasting and Prediction; Investment Funds; Financial Statements
Kester, W. Carl. "Toy World, Inc." Harvard Business School Case 295-073, November 1994. (Revised February 1996.)
- June 2024
- Teaching Note
Roku 2021
By: David B. Yoffie
Teaching Note for HBS Case No. 721-480. This case is used to explore the strategic concept of "look forward, reason back." Roku in 2021 is trying to figure out the future of television and streaming media. Students are asked to provide a vision for television and... View Details
- March 2008 (Revised August 2008)
- Supplement
Medtronic Vision 2010 (CW)
By: Lynda M. Applegate and James Zeitler
- October 2002
- Exercise
Luster Paint Corporation, The
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
Keywords: Forecasting and Prediction; Analytics and Data Science; Management Practices and Processes; Demand and Consumers; Mathematical Methods
Hammond, Janice H. "Luster Paint Corporation, The." Harvard Business School Exercise 603-078, October 2002.
- June 2005
- Article
Inflation, Openness, and Exchange Rate Regimes: The Quest for Short-Term Commitment
By: Laura Alfaro
This paper further tests Romer's (1993) extension of Kydland and Prescott's (1977) predictions for dynamic-inconsistency problems in open economies. In a panel data set of developed and developing countries from 1973 to 1998, I find that openness does not play a role... View Details
Keywords: Forecasting and Prediction; Economy; Currency Exchange Rate; Developing Countries and Economies; Inflation and Deflation
Alfaro, Laura. "Inflation, Openness, and Exchange Rate Regimes: The Quest for Short-Term Commitment." Journal of Development Economics 77, no. 1 (June 2005): 229–249.
- 24 Sep 2014
- Op-Ed
We Need a Miracle. New Nuclear Might Provide it.
On September 4, the US Energy Information Agency (EIA) published its 2014 International Energy Outlook. Earlier this year, the International Energy Agency (IEA) released its latest World Energy Investment Outlook. Both watchdogs tell us the same story. Energy... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- 2008
- Book
Predictable Surprises
By: Max Bazerman and Michael D. Watkins
Most events that catch us by surprise are both predictable and preventable, but we consistently miss (or ignore) the warning signs. This book shows why such "predictable surprises" put us all at risk, and shows how we can understand, anticipate, and prevent them before... View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Leadership; Risk and Uncertainty; Behavior
Bazerman, Max, and Michael D. Watkins. Predictable Surprises. Paperback ed. Harvard Business School Press, 2008.