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  • All HBS Web  (1,288)
    • News  (115)
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  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions, guide managerial decisions, and... View Details
Keywords: by Kristen Senz
  • October 1991 (Revised January 2002)
  • Case

Butler Lumber Company

By: Thomas R. Piper
The Butler Lumber Co. is faced with a need for increased bank financing due to its rapid sales growth and low profitability. Students must determine the reasons for the rising bank borrowing, estimate the amount of borrowing needed, and assess the attractiveness of the... View Details
Keywords: Commercial Banking; Financial Crisis; Borrowing and Debt; Financial Strategy; Financing and Loans; Capital Structure; Forecasting and Prediction
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Piper, Thomas R. "Butler Lumber Company." Harvard Business School Case 292-013, October 1991. (Revised January 2002.)
  • 07 Jun 2004
  • Research & Ideas

What Drives Supply Chain Behavior?

forecasts as well as decisions about inventory. In this interview with HBS Working Knowledge, Oliva and Watson say a key to understanding and avoiding supply chain inefficiency may be a better understanding of the behavioral side of the... View Details
Keywords: by Sarah Jane Johnston
  • 21 Aug 2019
  • Research & Ideas

What Machine Learning Teaches Us about CEO Leadership Style

is a writer based in the Boston area. [Image: ConceptCafe] Related Reading: Will Machine Learning Make You a Better Manager? The Better Way to Forecast the Future Working Paper: CEO Behavior and Firm Performance What do you think of this... View Details
Keywords: by Michael Blanding
  • October 1994 (Revised August 2006)
  • Case

Sport Obermeyer Ltd.

By: Janice H. Hammond and Ananth Raman
The case describes operations at a skiwear design and merchandising company and its supply partner. Introduces production planning for short-life-cycle products with uncertain demand and allows students to analyze a reduced version of the company's production planning... View Details
Keywords: Product; Supply Chain; Demand and Consumers; Production; Planning; Globalized Markets and Industries; Forecasting and Prediction; Industry Growth; Apparel and Accessories Industry; Sports Industry; United States; Hong Kong
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Hammond, Janice H., and Ananth Raman. "Sport Obermeyer Ltd." Harvard Business School Case 695-022, October 1994. (Revised August 2006.)
  • 04 Dec 2019
  • Book

Creating the Experimentation Organization

When customers log onto Booking.com—the world’s largest online accommodations platform—they might naturally assume they are seeing the same website as every other customer logged on at the same time. In fact, Booking is running quadrillions (millions of billions) of... View Details
Keywords: by Michael Blanding
  • May 2007 (Revised August 2007)
  • Case

Prediction Markets at Google

By: Peter A. Coles, Karim R. Lakhani and Andrew P. McAfee
In its eight quarters of operation, Google's internally developed prediction market has delivered accurate and decisive predictions about future events of interest to the company. Google must now determine how to increase participation in the market, and how to best... View Details
Keywords: Forecasting and Prediction; Knowledge Sharing; Knowledge Use and Leverage; Market Participation; Information Technology
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Coles, Peter A., Karim R. Lakhani, and Andrew P. McAfee. "Prediction Markets at Google." Harvard Business School Case 607-088, May 2007. (Revised August 2007.)
  • November 2010 (Revised May 2012)
  • Background Note

Assessing a Company's Future Financial Health

By: Thomas R. Piper
The case provides students with (1) an understanding of the essence of long-term financial health; (2) familiarity with the calculation and meaning of various financial ratios; and (3) an understanding of the influence of a company's operating and competitive... View Details
Keywords: Financial Condition; Forecasting and Prediction; Investment Return; Operations; Competitive Strategy
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Piper, Thomas R. "Assessing a Company's Future Financial Health." Harvard Business School Background Note 911-412, November 2010. (Revised May 2012.)
  • August 2021 (Revised February 2024)
  • Case

Data Science at the Warriors

By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
Keywords: Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Analytics and Data Science; Sports Industry; San Francisco; United States
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Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
  • 28 May 2020
  • Research & Ideas

Coronavirus Could Create a 'Bankruptcy Pandemic'

couple of years could top what we saw during the 2008-2009 Global Financial Crisis, when there were more than 100,000 business bankruptcies. Some analysts are forecasting that by the end of 2021 up to 20 percent of high-yield corporate... View Details
Keywords: by Dina Gerdeman; Financial Services; Banking
  • 15 Jul 2019
  • Book

Many Executives Are Afraid of Finance. Here's How They Can Gain Confidence

being possibly regulated as a publisher, and many, many other things! Unsurprisingly, people get valuations wrong all the time. That’s part of what makes finance so much fun and so interesting. People’s forecasts will differ, and... View Details
Keywords: by Dina Gerdeman
  • September 1996 (Revised October 1996)
  • Case

Clarkson Lumber Company

By: Thomas R. Piper
The owner of a rapidly growing retail lumber company is considering the financial implications of continued rapid growth. The magnitude of the company's future financing requirements must be assessed in the context of the company's access to bank finance and/or equity... View Details
Keywords: Business Growth and Maturation; Financial Reporting; Forecasting and Prediction; Business Strategy; Financial Strategy; Commercial Banking; Borrowing and Debt; Equity; Corporate Finance
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Piper, Thomas R. "Clarkson Lumber Company." Harvard Business School Case 297-028, September 1996. (Revised October 1996.)
  • 03 Oct 2005
  • Research & Ideas

The Box Office Power of Stars

relatively good forecasts of actual box office returns. In fact, the forecasting accuracy is what makes it such a valuable research setting. I used HSX to measure how the involvement of a movie star affects... View Details
Keywords: by Sarah Jane Gilbert; Entertainment & Recreation; Motion Pictures & Video
  • December 2011
  • Article

Stock Price Fragility

By: Robin Greenwood and David Thesmar
We investigate the relationship between ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental trading shocks. An asset can be fragile because of concentrated ownership or because its... View Details
Keywords: Stocks; Price; Ownership; Risk and Uncertainty; Assets; System Shocks; Financial Liquidity; Forecasting and Prediction; Investment Return; Volatility; Relationships; United States
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Greenwood, Robin, and David Thesmar. "Stock Price Fragility." Journal of Financial Economics 102, no. 3 (December 2011): 471–490.
  • April 2021 (Revised August 2021)
  • Case

Borusan CAT: Monetizing Prediction in the Age of AI (A)

By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to... View Details
Keywords: Monetization Strategy; Artificial Intelligence; AI; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey
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Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (A)." Harvard Business School Case 521-053, April 2021. (Revised August 2021.)
  • January 2018 (Revised January 2020)
  • Case

People Analytics at McKinsey

By: Jeffrey T. Polzer and Olivia Hull
A private equity–backed fast food chain has hired McKinsey’s new People Analytics group to help it improve performance. As the final client workshop approaches, Associate Partner Alex DiLeonardo ponders the best way to present the team’s findings, especially those that... View Details
Keywords: Talent and Talent Management; Customer Relationship Management; Forecasting and Prediction; Cost Management; Human Resources; Employees; Recruitment; Retention; Selection and Staffing; Measurement and Metrics; Performance; Performance Capacity; Performance Efficiency; Performance Evaluation; Performance Improvement; Consulting Industry; Service Industry
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Polzer, Jeffrey T., and Olivia Hull. "People Analytics at McKinsey." Harvard Business School Case 418-023, January 2018. (Revised January 2020.)
  • 16 May 2000
  • Research & Ideas

Getting the Message: How the Internet is Changing Advertising

that marketers began to think of the Web as an advertising medium, U.S. Internet advertisers spent $940 million; a year later, that number had almost doubled, and some put it as high as $4 billion in 1999. Forecasts on what lies ahead are... View Details
Keywords: by Susan Young
  • September 2004 (Revised February 2007)
  • Case

Hedging Currency Risks at AIFS

By: Mihir A. Desai, Vincent Dessain and Anders Sjoman
The American Institute for Foreign Studies (AIFS) organizes study abroad programs and cultural exchanges for American students. The firm's revenues are mainly in U.S. dollars, but most of its costs are in eurodollars and British pounds. The company's controllers review... View Details
Keywords: Foreign Direct Investment; Investment Funds; Financial Strategy; Forecasting and Prediction; Revenue; Credit Derivatives and Swaps; Currency; Currency Exchange Rate; Education Industry; North and Central America
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Desai, Mihir A., Vincent Dessain, and Anders Sjoman. "Hedging Currency Risks at AIFS." Harvard Business School Case 205-026, September 2004. (Revised February 2007.)
  • December 2001 (Revised February 2008)
  • Case

Borealis

By: Robert S. Kaplan and Bjorn N. Jorgensen
When Borealis, a European producer of plastics, used a traditional, time-consuming budgeting process, the budget was quickly out of date in a competitive environment characterized by continually changing input and output prices and dynamic market conditions. This case... View Details
Keywords: Activity Based Costing and Management; Budgets and Budgeting; Forecasting and Prediction; Investment; Governance Controls; Balanced Scorecard; Management Systems; Manufacturing Industry; Europe
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Kaplan, Robert S., and Bjorn N. Jorgensen. "Borealis." Harvard Business School Case 102-048, December 2001. (Revised February 2008.)
  • June 2015 (Revised July 2016)
  • Case

Gilbert Lumber Company

By: Steven Rogers and Kenneth Cooper
The Gilbert Lumber Co. is faced with a need for increased bank financing due to its rapid sales growth and low profitability. Students must determine the reasons for the rising bank borrowing, estimate the amount of borrowing needed, and assess the attractiveness of... View Details
Keywords: Commercial Banking; Financial Crisis; Borrowing and Debt; Financial Strategy; Financing and Loans; Capital Structure; Forecasting and Prediction
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Rogers, Steven, and Kenneth Cooper. "Gilbert Lumber Company." Harvard Business School Case 315-137, June 2015. (Revised July 2016.)
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