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  • All HBS Web  (1,936)
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    • Research  (1,299)
    • Events  (27)
    • Multimedia  (11)
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  • January 2022 (Revised February 2022)
  • Case

Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?

By: Jonas Heese, Charles C.Y. Wang and James Weber
In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say... View Details
Keywords: Jobs and Positions; Compensation and Benefits; Performance; Performance Productivity; Measurement and Metrics; Analytics and Data Science; Value; Business or Company Management; Performance Evaluation; Business and Shareholder Relations
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Heese, Jonas, Charles C.Y. Wang, and James Weber. "Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?" Harvard Business School Case 122-061, January 2022. (Revised February 2022.)
  • 2008
  • Working Paper

Concentration Levels in the U.S. Advertising and Marketing Services Industry: Myth vs. Reality

By: Alvin J. Silk and Charles King III

This paper analyzes changes in concentration levels in the U.S. Advertising and Marketing Services (A&MS) industry using publicly released data that have been largely ignored in past discussions of the industrial organization of this industry, namely those available... View Details

Keywords: Advertising; Mergers and Acquisitions; Revenue; Analytics and Data Science; Surveys; Marketing; Measurement and Metrics; Rank and Position; Competition; Advertising Industry; Service Industry; United States
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Silk, Alvin J., and Charles King III. "Concentration Levels in the U.S. Advertising and Marketing Services Industry: Myth vs. Reality." Harvard Business School Working Paper, No. 09-044, September 2008.

    Seth Neel

    Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details
    • 03 Jun 2021
    • News

    Insurance to Mitigate the Risk of AI Systems Coming into View

    • 01 Dec 2017
    • News

    Alumni and Faculty Books for December 2017

    institutions, the authors note how business needs to use data and analytics to their advantage, to deal with such issues as reconciling different View Details

      Jeff Fossett

      Jeff Fossett is a doctoral student in the Technology and Operations Management Unit at Harvard Business School. He is interested in economic and policy questions related to technology platforms and online marketplaces. Previously, Jeff was a member of the Data Science... View Details
      Keywords: information technology industry
      • 01 Dec 2022
      • News

      Educating, Connecting, and Mobilizing Around Climate Change

      opportunities, measuring and analyzing purpose inside organizations, ESG data analytics and strategies, and the... View Details
      Keywords: Jennifer Gillespie
      • 31 Jan 2022
      • Research & Ideas

      Where Can Digital Transformation Take You? Insights from 1,700 Leaders

      decisions. Analytics are important, but judgment and critical thinking ultimately set the roadmap. All employees, not just the data scientists, use View Details
      Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
      • 01 Dec 2020
      • News

      Two Truths and a Lie About 5G

      will see vast increases in reliability and the number of devices connected to one antenna as well as reductions in the cost of data per gigabyte, Menard says. Beyond that, fixed wireless access could enable... View Details
      Keywords: Jen McFarland Flint
      • 26 Nov 2012
      • Research & Ideas

      New Winners and Losers in the Internet Economy

      calls the "less glamorous layer" that supports those big brand names, such as digital advertising agencies, ad networks, ad exchanges, customer analytics firms, listening platforms, and other firms... View Details
      Keywords: by Dina Gerdeman; Publishing
      • December 2020 (Revised April 2021)
      • Case

      IBM Watson at MD Anderson Cancer Center

      By: Shane Greenstein, Mel Martin and Sarkis Agaian
      After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
      Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
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      Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
      • 01 Jun 2016
      • News

      Making It Possible to Explore and Grow

      doctorate, I started out as a biologist with an interest in biofuels,” he says. “Then I began working half-time on the science and half-time on business development. I discovered that building the narrative... View Details
      • 25 May 2016
      • Research & Ideas

      How Consumers and Businesses are Reshaping Public Health

      be headquartered in England in order to achieve a lower corporate tax rate. The British government favored the merger as it would boost the high-priority life sciences sector, but little attention was paid to whether the integration of... View Details
      Keywords: by John A. Quelch; Health
      • September 2023 (Revised January 2024)
      • Case

      AB InBev: Brewing Up Forecasts during COVID-19

      By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud
      In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a workforce of 160,000 in 2020, AB InBev... View Details
      Keywords: Beer; Forecasting; COVID-19; Decision; Forecasting and Prediction; Analytics and Data Science; Crisis Management; Decisions; Financing and Loans; Investment Return; Resource Allocation; Distribution; Production; Business Processes; Strategic Planning; Health Pandemics; Digital Transformation; Markets; Food and Beverage Industry; Belgium; Europe; Latin America; North and Central America
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      Egan, Mark, C. Fritz Foley, Esel Cekin, and Emilie Billaud. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Case 224-020, September 2023. (Revised January 2024.)
      • 2024
      • Report

      The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy

      By: Suraj Srinivasan, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat and Vaishnavee Ananth
      Since the proliferation of smartphones and social media in the late 2000s, digital has captured an increasingly large portion of the economy. In this Capgemini Research Institute report, The Eco-Digital EraTM: The dual transition to a sustainable and... View Details
      Keywords: Technology Adoption; Digital Transformation; Environmental Sustainability; Trends
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      Srinivasan, Suraj, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat, and Vaishnavee Ananth. "The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy." Report, Capgemini Research Institute, January 2024.
      • February 2025
      • Supplement

      Intenseye: Powering Workplace Health and Safety with AI (B)

      By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri
      Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details
      Keywords: Safety Performance; Occupational Safety; Innovation; Safety; Operations; Health; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Supply Chain Management; Performance Improvement; Entrepreneurship; Product Development; Customer Relationship Management; Value Creation; Venture Capital; Growth and Development Strategy; Information Technology Industry; United States; Europe; Middle East; Turkey
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      Toffel, Michael W., Shane Greenstein, and Sadika El Hariri. "Intenseye: Powering Workplace Health and Safety with AI (B)." Harvard Business School Supplement 625-025, February 2025.

        Edward McFowland III

        Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.

        Professor McFowland’s research interests – which lie at the... View Details

        • 2016
        • Book

        Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work

        By: Joseph L. Badaracco
        Part of a manager's job is making tough calls, and the hardest challenge can be resolving "gray area” problems—situations in which analysis of the numbers, facts, and data fails to provide a clear answer. Gray areas test not only managers’ skills but also their... View Details
        Keywords: Business or Company Management; Decision Choices and Conditions
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        Badaracco, Joseph L. Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work. Harvard Business Review Press, 2016.
        • October 2017 (Revised April 2018)
        • Case

        Improving Worker Safety in the Era of Machine Learning (A)

        By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
        Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
        Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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        Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
        • 01 Dec 2015
        • News

        Alumni and Faculty Books for December 2015

        make up for lost years, he was surprised to find himself at Harvard at age 23. Primed to Perform: How to Build the Highest Performing Cultures through the Science of Total Motivation by Neel Doshi and... View Details
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