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  • All HBS Web  (3,291)
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  • July 2007 (Revised November 2007)
  • Case

Leasing Computers at Persistent Learning

Newly public Persistent Learning is acquiring vital computer assets. They need to determine how the lease or purchase decision will impact their financial statements, and how the market will react given previously forecast earnings and competitor's accounting. View Details
Keywords: Information Infrastructure; Financial Statements; Leasing
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Shanthikumar, Devin M. "Leasing Computers at Persistent Learning." Harvard Business School Case 108-014, July 2007. (Revised November 2007.)
  • 22 Dec 2015
  • News

Algorithms Need Managers, Too

  • Web

What We Learned in Three Charts: Innovation, Tariffs, and Gig Work | Working Knowledge

Strategy and Innovation What We Learned in Three Charts: Innovation, Tariffs, and Gig Work Featuring Prithwiraj Choudhury , Alberto F. Cavallo , Ryan W. Buell , and Paige Tsai... View Details
  • April 1999 (Revised March 2001)
  • Case

Be Our Guest, Inc.

By: Dwight B. Crane and Penny Joseph
Be Our Guest is a rapidly growing equipment rental company with substantial seasonality in its revenues and profits. In the spring of 1998, the senior management team is reviewing its financial plans in preparation for a meeting with the company's bank. The case... View Details
Keywords: Financial Strategy; Borrowing and Debt; Banks and Banking; Revenue; Management Teams; Business Plan; Forecasting and Prediction; Utilities Industry; Service Industry
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Crane, Dwight B., and Penny Joseph. "Be Our Guest, Inc." Harvard Business School Case 299-001, April 1999. (Revised March 2001.)

    Failure Shouldn't Come as a Surprise

    I’ve worked at startup companies and I’ve run development teams inside large public companies. In both environments, executives spend far more time forecasting how successful they’ll be than planning what they will do if something breaks down.

     View Details
    • May 2018 (Revised October 2019)
    • Case

    Managing the Future of Work

    By: William R. Kerr, Allison Ciechanover and Jeff Huizinga
    By 2019, leaders from the public and private sector had become increasingly anxious about how advanced technologies and aging global populations could affect labor markets, workplaces, and workers’ lives. Some analysts forecasted that hundreds of millions of workers... View Details
    Keywords: Labor Markets; Workplace; Employment; Technological Innovation; Demographics; Organizational Change and Adaptation; Change Management; Problems and Challenges; Opportunities
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    Kerr, William R., Allison Ciechanover, and Jeff Huizinga. "Managing the Future of Work." Harvard Business School Case 818-128, May 2018. (Revised October 2019.)

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement... View Details
      • 01 Feb 1997
      • News

      Shaping the Future of Business: Entrepreneurial Evolution at HBS

      core business of distributing financial information, Bloomberg has added print, broadcast, and other media, with 400 reporters in 70 bureaus writing 3,000 business and nonbusiness stories daily for outlets... View Details
      Keywords: Nancy O. Perry and Susan Young; profiles by Garry Emmons
      • April 1983
      • Case

      National Chemical Corp.: Tiger-Tread

      A large chemical company has developed a novel industrial maintenance item, for which a marketing program and budget must be prepared. Case requires students to forecast demand at end-user and industrial customer levels to identify elements of the marketing mix, and to... View Details
      Keywords: Product Marketing; Consumer Products Industry; Industrial Products Industry
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      Cardozo, Richard N. "National Chemical Corp.: Tiger-Tread." Harvard Business School Case 583-151, April 1983.
      • 05 Dec 2012
      • What Do You Think?

      Should Managers Bother Listening to Predictions?

      identify fairly reliable predictions from the guesses." Others identified people as the weak point in the process. Adam Hartung commented that " everyone should be evaluating trends and making... View Details
      Keywords: by James Heskett
      • July 2002 (Revised March 2005)
      • Case

      Kendall Square Research Corporation (A) (Abridged)

      By: William J. Bruns Jr. and F. Warren McFarlan
      Kendall Square Research was a small competitor in the supercomputer industry. Sales grew rapidly in 1992 and early 1993, and the company sold stock to the public for the first time. Analysts forecasted higher earnings for 1993, then the company's revenue recognition... View Details
      Keywords: Revenue Recognition; Standards; Accounting Audits; Computer Industry
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      Bruns, William J., Jr., and F. Warren McFarlan. "Kendall Square Research Corporation (A) (Abridged)." Harvard Business School Case 303-036, July 2002. (Revised March 2005.)
      • 28 Jul 2009
      • Research Event

      Business Summit: Real Estate

      next steps in real estate? This panel discussed the global real estate crisis, the future of securitization, and predictions for the future of the U.S. real estate market. After years of abundant capital... View Details
      Keywords: Re: Howard H. Stevenson; Construction; Real Estate
      • April 2010 (Revised May 2017)
      • Case

      Tremblant Capital Group

      By: Robin Greenwood
      Brett Barakett, CEO and founder of Tremblant Capital Group, a New York–based hedge fund, must decide what to do with his fund's position in Green Mountain Coffee Roasters, which has dropped in value by more than 40% in recent months. Tremblant is a hedge fund that... View Details
      Keywords: Business Earnings; Behavioral Finance; Stocks; Investment Funds; Consumer Behavior; Competitive Advantage; Financial Services Industry; New York (city, NY)
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      Greenwood, Robin. "Tremblant Capital Group." Harvard Business School Case 210-071, April 2010. (Revised May 2017.)
      • Research Summary

      Entrepreneurial Management

      By: Howard H. Stevenson
      Howard H. Stevenson is researching and writing on the need for and consequences of predictability. In work designed for a managerial audience, he is examining the roles played by organizations, cultures, and ethical systems in enabling individuals to predict the... View Details
      • April 1994 (Revised November 1998)
      • Case

      Kendall Square Research Corporation (A)

      By: William J. Bruns Jr.
      Kendall Square Research was a small competitor in the supercomputer industry. As sales grew rapidly in 1992 and early 1993, the company sold stock to the public for the first time and analysts forecast higher earnings for 1993. However, when the company's revenue... View Details
      Keywords: Revenue Recognition; Standards; Accounting Audits; Computer Industry
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      Bruns, William J., Jr. "Kendall Square Research Corporation (A)." Harvard Business School Case 194-068, April 1994. (Revised November 1998.)
      • 25 Oct 2004
      • Research & Ideas

      Planning for Surprises

      The train wreck that was Enron's collapse is only one big, blatant example of how some disasters catch us unawares—but shouldn't. In fact, according to Max H. Bazerman and Michael D. Watkins, many surprises in all types View Details
      Keywords: by Martha Lagace
      • 20 Oct 2011
      • Research & Ideas

      Getting the Marketing Mix Right

      their FSL model, however, the results provided much greater detail about the potential effects of different marketing investments. For example, the model predicted that sales gains from DTCA and M&E... View Details
      Keywords: by Dina Gerdeman
      • Forthcoming
      • Article

      An AI Method to Score Celebrity Visual Potential from Human Faces

      By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
      It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
      Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing
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      Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming). (Pre-published online February 12, 2025.)
      • Article

      Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements

      By: Malcolm Baker, Lubomir Litov, Jessica Wachter and Jeffrey Wurgler
      We consider measures of stock-picking skill of mutual fund managers based on the earnings announcement returns of the stocks that they hold and trade. Relative to standard approaches, this approach focuses on an especially informative subset of the returns data,... View Details
      Keywords: Competency and Skills; Stocks; Investment Return; Investment Funds; Earnings Management
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      Baker, Malcolm, Lubomir Litov, Jessica Wachter, and Jeffrey Wurgler. "Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements." Journal of Financial and Quantitative Analysis 45, no. 5 (October 2010): 1111 –1131.
      • 2021
      • Working Paper

      Equilibrium Effects of Pay Transparency

      By: Zoë B. Cullen and Bobak Pakzad-Hurson
      The public discourse around pay transparency has focused on the direct effect: how workers seek to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting and hiring practices of the firm respond in equilibrium has received... View Details
      Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Negotiation; Corporate Disclosure; Compensation and Benefits; Gender
      Citation
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      Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Working Paper, June 2021. (Econometrica, Vol 91, No. 3 (May, 2023), 765-802.)
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