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  • All HBS Web  (1,221)
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  • 20 Oct 2003
  • Research & Ideas

Gaps in the Historical Record: Development of the Electronics Industry

the late 1980s, the most successful producers of computers were those that produced and marketed IBM personal computer clones. In 1963 IBM's revenues were three times those of its major U.S. competitors combined. In 1984 they were six times those of its nearest... View Details
Keywords: by Alfred D. Chandler Jr.; Consumer Products
  • June 2019 (Revised February 2020)
  • Supplement

Eric Hawkins Leading Agile Teams @ Digitally-Born AppFolio (B)

By: Tsedal Neeley, Paul Leonardi and Michael Norris
Supplements the (A) case, HBS No. 419-066, and provides information about what happened after the (A) case ends. View Details
Keywords: Agile; Values; Vision; Corporate Culture; Leadership; Transformation; Organizational Culture; Values and Beliefs; Digital Transformation; Technology Industry; United States; California
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Neeley, Tsedal, Paul Leonardi, and Michael Norris. "Eric Hawkins Leading Agile Teams @ Digitally-Born AppFolio (B)." Harvard Business School Supplement 419-088, June 2019. (Revised February 2020.)
  • 20 Aug 2024
  • Book

Why Competing With Tech Giants Requires Finding Your Own Edge

The following is an excerpt that was adapted and lightly edited from chapter nine of Smart Rivals: How Innovative Companies Play Games That Tech Giants Can't Win, written by Feng Zhu and Bonnie Yining Cao and published August 20, 2024. In today's global View Details
Keywords: by Feng Zhu; Technology; Information Technology
  • 09 Jun 2015
  • Sharpening Your Skills

Sharpening Your Skills: Social Media

Tate's Digital Makeover Transforms the Traditional Museum What happens when the traditional museum-going experience meets the world of digital marketing? WORKING PAPERS... View Details
Keywords: Re: Multiple Faculty; Advertising
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • August 2004
  • Case

Microsoft.NET (Abridged)

By: Alan D. MacCormack and Kerry Herman
Set in the summer of 2000, following the unveiling of Microsoft's .NET initiative to the public. Three of the key figures in .NET's development are considering the next steps they would have to take to keep the initiative moving forward. Specifically, the challenges... View Details
Keywords: Transformation; Leadership; Management Skills; Organizational Structure; Digital Platforms
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MacCormack, Alan D., and Kerry Herman. "Microsoft.NET (Abridged)." Harvard Business School Case 605-025, August 2004.
  • 02 Mar 2015
  • Research & Ideas

Retail Reaches a Tipping Point—Which Stores Will Survive?

then need to consider one of three strategies: Enhance the Value of the Box, Shrink and Transform the Format, or Wind Down. Sean Silverthorne: Why do you think we are at an inflection point? Ecommerce has been around for several decades,... View Details
Keywords: by Sean Silverthorne; Retail
  • 28 Oct 2019
  • Research & Ideas

Brick-and-Mortar Stores Are Making a Comeback

While legacy companies like Sears are shuttering their doors, a growing number of online-first companies—from Amazon to Rent the Runway—are opening new storefronts and transforming the shopping experience. Senior Lecturer Jill Avery and... View Details
Keywords: by Jen McFarland Flint; Retail
  • 08 Dec 2015
  • First Look

December 8, 2015

forward. The Turkish banking industry was undergoing a transformation prompted by the demands of the country's digitally savvy, young population, and by new regulations on consumer banking that threatened... View Details
Keywords: Sean Silverthorne
  • April 2001
  • Supplement

Acer America: Development of the Aspire

By: Christopher A. Bartlett
Consists of five segments. Segment 1 shows Culver and Pai discussing the tensions between Taiwan and the United States and the resulting performance problems with Aspire; Segment 2 features Culver and Shih describing the changes Acer made as a result of the problems... View Details
Keywords: Digital Marketing; Transformation; Forecasting and Prediction; Marketing Strategy; Outcome or Result; Problems and Challenges; Information Infrastructure; Internet and the Web; Computer Industry; Taiwan; United States
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Bartlett, Christopher A. "Acer America: Development of the Aspire." Harvard Business School Video Supplement 301-805, April 2001.
  • 15 Aug 2024
  • Op-Ed

Post-CrowdStrike, Six Questions to Test Your Company's Operational Resilience

companies will live and die based on their ability to bounce back from a crisis.” Demand for digital transformation and artificial intelligence (AI) will raise the stakes for strategic data and platform... View Details
Keywords: by Hise Gibson and Anita Lynch
  • November 2024 (Revised January 2025)
  • Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
  • 19 Aug 2002
  • Research & Ideas

Here Comes Internet2—Time to Shed Dot Vertigo

that dizziness accompanying claims about all the wonderful ways the Internet is going to transform their lives. What they don't realize is that their fears make them discount the impact of the Internet in what Nolan called a very... View Details
Keywords: by Martha Lagace
  • 03 Nov 2009
  • First Look

First Look: Nov. 3

Publicis Groupe 2009: Toward a Digital Transformation Rosabeth Moss Kanter and Matthew BirdHarvard Business School Case 309-085 After a series of acquisitions, Maurice Levy, the Chairman and CEO of Publicis... View Details
Keywords: Martha Lagace
  • 19 Nov 2001
  • Research & Ideas

Alfred Chandler on the Electronic Century

transformed life and work in the second half of the twentieth century. I chronicle the evolution of the new high-tech industries from their beginnings by the first-movers until the end of the twentieth century. I do this by focusing on... View Details
Keywords: by Alfred D. Chandler, Takashi Hikino & Andrew Von Nordenflycht; Computer; Consumer Products; Electronics; Manufacturing; Technology
  • September 2022 (Revised November 2022)
  • Teaching Note

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Teaching Note 523-020, September 2022. (Revised November 2022.)
  • 02 Oct 2007
  • First Look

First Look: October 2, 2007

  Working PapersDigital Interactivity: Unanticipated Consequences for Markets, Marketing, and Consumers Authors:John A. Deighton and Leora Kornfeld Abstract The digital interactive transformation in... View Details
Keywords: Martha Lagace
  • 14 Apr 2003
  • Research & Ideas

Andy Grove on the Confident Leader

its trek through that? Grove: Our last-generation growth has been fueled by a fairly major structural transformation of the computing industry from mainframe, centralized computing to distributed computing, PCs. And that defined the... View Details
Keywords: by Walter Kiechel; Technology
  • 25 Sep 2006
  • Research & Ideas

How Software Platforms Revolutionize Business

independent developers to build new features. The cell phone has become a lucrative platform for more than handset makers—also in on the party are makers of digital cameras, music services, and organizer software. Not only are existing... View Details
Keywords: by Sean Silverthorne; Video Game; Web Services
  • 23 Oct 2018
  • First Look

New Research and Ideas, October 23, 2018

transforms the experts' probabilities into their corresponding information states, then linearly combines these information states, and finally transforms the combined information states back into the... View Details
Keywords: Dina Gerdeman
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