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  • April 2015
  • Teaching Plan

Codecademy: Monetizing a Movement?

By: Jeffrey J. Bussgang and Lisa Mazzanti
This is a Teaching Plan for the case on Codecademy, an open-platform, online community for learning computer programming, launched in 2011. By 2014, the company had raised a total of $12.5 million in funding and was, on many fronts, an overwhelming success. However,... View Details
Keywords: Business Model; Internet and the Web; Open Source Distribution; Social Entrepreneurship; Education
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  • 30 Aug 2021
  • News

Kominers’s Conundrums: A Heist Leads to a Virtual Adventure

  • 03 Oct 2006
  • First Look

First Look: October 3, 2006

2003). Blue-collar workers, in contrast, increasingly work outside the archetypal work gang and operate machinery or computers in isolation from others. As manual labor evolves to require more interaction with machines and less... View Details
Keywords: Sean Silverthorne
  • November 2019
  • Case

Apple, Einhorn, and iPrefs (Abridged)

By: Carliss Y. Baldwin and W. Carl Kester
In March 2013, Apple Computer has a very large cash balance, and is under pressure to return cash to shareholders. Hedge fund manager David Einhorn thinks Apple can "unlock value" by issuing perpetual preferred stock, dubbed iPrefs. Henry Blodget, CEO of Business... View Details
Keywords: Markets; Stock Shares; Value Creation; Business and Shareholder Relations
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  • June 2017
  • Teaching Note

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty... View Details
Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning
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  • June 2012
  • Article

Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes

By: Robyn A. LeBoeuf and Michael I. Norton
We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread computer virus) if it had a large consequence (job loss), but that the identical failure... View Details
Keywords: Causal Inference; Product; Forecasting and Prediction; Motivation and Incentives; Failure
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  • July 1989 (Revised April 1996)
  • Case

AUCNET: TV Auction Network System

The AUCNET system links buyers and sellers in the wholesale used car market in Japan. Video images delivered via videodisk or satellite along with an inspector's opinion and objective character based data are used to conduct a realtime auction over computers and... View Details
Keywords: Information Technology; Market Entry and Exit; Auctions; Service Industry; Japan; United States
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  • October 1996 (Revised December 1996)
  • Case

United Electric Controls

By: H. Kent Bowen, Jody H. Gittell and Sylvie Ryckebusch
United Electric Controls (UE) was a small, traditional family-owned manufacturing company when Dave Reis, the youngest member of the Reis family, took over the business. This case describes Reis's efforts to change UE's traditional work practices in order to make the... View Details
Keywords: Change Management; Family Business; Production; Business Strategy; Human Resources; Organizational Change and Adaptation; Decisions; Growth and Development Strategy; Information Technology; Electronics Industry; Manufacturing Industry; United States
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  • 01 Dec 2021
  • News

How Will the Metaverse Affect Productivity?

  • 24 Mar 2008
  • Research & Ideas

Reducing Risk with Online Advertising

the place, perhaps five a minute. The pop-ups are coming from within your computer, not from the sites you're visiting. So suppose there was software on a (user's) computer that could track that the user was on the Dell Web site looking... View Details
Keywords: by Martha Lagace; Video Game; Web Services
  • 25 Feb 2019
  • Research & Ideas

How Gender Stereotypes Kill a Woman’s Self-Confidence

“occupational sorting,” with men choosing careers that pay higher wages than women do, labor economists say. For example, women represent only 26 percent of US workers employed in computer and math jobs, according to the Department of... View Details
Keywords: by Dina Gerdeman

    Roy D. Shapiro

    Roy D. Shapiro is the Philip Caldwell Professor of Business Administration at the Harvard University Graduate School of Business Administration.  He is currently the faculty co-chair of the School's Technology and Operations Management Unit... View Details

    • 12 Sep 2006
    • First Look

    First Look: September 12, 2006

    through successive stages of industry evolution. We then show how this strategy was used by Sun Microsystems against Apollo Computer in the 1980s and by Dell against Compaq and other personal computer makers... View Details
    Keywords: Sean Silverthorne
    • October 2023
    • Article

    Laboratory Safety and Research Productivity

    By: Alberto Galasso, Hong Luo and Brooklynn Zhu
    Are laboratory safety practices a tax on scientific productivity? We examine this question by exploiting the substantial increase in safety regulations at the University of California following the shocking accidental death of a research assistant in 2008.... View Details
    Keywords: Economics Of Science; Risk Perception; Safety Regulations; Governing Rules, Regulations, and Reforms; Working Conditions; Safety; Performance Productivity
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    • November–December 2012
    • Article

    Toward a Theory of Extended Contact: The Incentives and Opportunities for Bridging Across Network Communities

    By: Maxim Sytch, Adam Tatarynowicz and Ranjay Gulati
    This study investigates the determinants of bridging ties within networks of interconnected firms. Bridging ties are defined as nonredundant connections between firms located in different network communities. We highlight how firms can enter into these relationships... View Details
    Keywords: Motivation and Incentives; Opportunities
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    • October 2005
    • Case

    Intel Corporation 2005

    By: David B. Yoffie and Michael Slind
    Buoyed by strong recent sales growth but humbled by failed strategic bets and other missteps, Intel in 2005 initiated a major reorganization. Under its new CEO, Paul Otellini, the company shifted toward a "platform" model, inspired by the success of its Centrino... View Details
    Keywords: Restructuring; Alignment; Business Strategy; Competitive Strategy; Corporate Strategy; Semiconductor Industry
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    • September 2022
    • Article

    Human Versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations

    By: Braiden Coleman, Kenneth J. Merkley and Joseph Pacelli
    We provide the first comprehensive analysis of the properties of investment recommendations generated by “Robo-Analysts,” which are human analyst-assisted computer programs conducting automated research analysis. Our results indicate that Robo-Analyst recommendations... View Details
    Keywords: Fintech; Analysts; Robo-analysts; Investment Recommendations; Investment; Information Technology; Performance
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    • 11 Sep 2020
    • HBS Seminar

    Janet Freilich, Fordham University, School of Law

    • April 1992 (Revised July 1992)
    • Case

    U.S. Robotics, Inc.

    U.S. Robotics (USR) is a fast-growing $80 million computer communications company with the aggressive growth target of becoming a $500 million company by 1995. It is widely accepted as the technology leader in its market, and relies strongly on its ability to bring... View Details
    Keywords: Organizational Change and Adaptation; Expansion; Product Development; Growth and Development Strategy; Computer Industry; Computer Industry; United States
    Related
    • 16 Aug 2011
    • First Look

    First Look: August 16

    Michael Norton Publication:Journal of Consumer Research (forthcoming) Abstract We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread View Details
    Keywords: Sean Silverthorne