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  • All HBS Web  (1,279)
    • People  (13)
    • News  (393)
    • Research  (403)
    • Events  (8)
    • Multimedia  (12)
  • Faculty Publications  (90)
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  • 14 Apr 2022
  • Op-Ed

Let’s Move Forward from COVID—Without Forgetting What We’ve Learned

involuntary loss of knowledge in an organization. The type of organizational forgetting occurring now is creating more problems. Instead of relying on the lessons learned from two years of COVID-19 crisis management, organizations are... View Details
Keywords: by Hise O. Gibson and MaShon Wilson
  • 21 Aug 2019
  • Research & Ideas

What Machine Learning Teaches Us about CEO Leadership Style

CEOs are communicators. Studies show that CEOs spend 85 percent of their time in communication-related activities, including speeches, meetings, and phone calls with people both inside and outside the firm. Now, new research using machine View Details
Keywords: by Michael Blanding
  • 24 Apr 2018
  • Op-Ed

Op-Ed: What Mark Zuckerberg Can Learn About Crisis Leadership from Starbucks

Facebook’s current data privacy crisis, could learn a lot from Johnson. Let’s examine how Johnson and Zuckerberg measured up against what I have identified as 7 Lessons for Leading in Crisis. #1: Face reality, starting with yourself.... View Details
Keywords: by Bill George; Technology; Food & Beverage
  • March 2025
  • Article

Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details
Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
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Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
  • September 2018 (Revised December 2019)
  • Case

Zebra Medical Vision

By: Shane Greenstein and Sarah Gulick
An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details
Keywords: Radiology; Machine Learning; X-ray; CT Scan; Medical Technology; Probability; FDA 510(k); Diagnosis; Business Startups; Health Care and Treatment; Information Technology; Applications and Software; Competitive Strategy; Product Development; Commercialization; Decision Choices and Conditions; Health Industry; Medical Devices and Supplies Industry; Technology Industry; Israel
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Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
  • 2021
  • Working Paper

First Law of Motion: Influencer Video Advertising on TikTok

By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details
Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology
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Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
  • April 2022 (Revised May 2022)
  • Case

Mastercard Labs (A)

By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify... View Details
Keywords: Organizational Behavior; Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Ecosystem; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Globalization; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Metrics; Payments; Financial Inclusion; Financial Industry; Ambidexterity; Corporate Innovation; Innovation Lab; Digital Transformation; Digital Strategy; Credit Cards; Innovation Leadership; Organizational Culture
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Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A)." Harvard Business School Case 422-080, April 2022. (Revised May 2022.)
  • 29 Jun 2009
  • Sharpening Your Skills

Sharpening Your Skills: Leading Change

Sharpening Your Skills dives into the HBS Working Knowledge archives to bring together articles on ways to improve your business skills. Questions To Be Answered: How do I build my business in this environment? What should leaders communicate? My organization doesn't... View Details
Keywords: by Staff
  • 01 Mar 2023
  • What Do You Think?

How Much Does 'Deep Purpose' Matter to the Bottom Line?

before purpose, you get an Enron. Ranjay Gulati, the Paul R. Lawrence MBA Class of 1942 Professor of Business Administration at Harvard Business School, recently identified this quest as a search for “deep purpose.” Gulati considers deep... View Details
Keywords: by James Heskett
  • February 2022 (Revised September 2022)
  • Case

InstaDeep: AI Innovation Born in Africa (A)

By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details
Keywords: AI; Artificial Intelligence; Entrepreneurship; Operations; Business Subsidiaries; Brands and Branding; Innovation and Invention; Growth and Development Strategy; AI and Machine Learning; Technology Industry; Africa
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Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (A)." Harvard Business School Case 822-104, February 2022. (Revised September 2022.)
  • 26 Apr 2022
  • Book

What Does Your Business Stand For? Why Building Trust Starts with Purpose

make the decision, do the right thing, even if it’s hard, it’s true to those values, it builds trust. It builds belief. And it reinforces the mission that we stand for, our purpose, and it reinforces the... View Details
Keywords: by Ranjay Gulati
  • 28 Nov 2023
  • Book

Economic Growth Draws Companies to Asia. Can They Handle Its Authoritarian Regimes?

about the potential dangers of unlimited states, and with deep knowledge of how power is practiced in whatever regime they are in. “I suggest students think in terms of political empathy—asking how different constituencies that matter to... View Details
Keywords: by Sean Silverthorne
  • April 2022 (Revised May 2022)
  • Case

Mastercard Labs (A) (Abridged)

By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify... View Details
Keywords: Organizational Behavior; Culture; Organizational Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Ecosystem; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Metrics; Payments; Financial Inclusion; Financial Industry; Ambidexterity; Corporate Innovation; Innovation Lab; Accelerator; Start-up; Intrapreneurship; Competitive Strategy; Business Model; Technological Innovation; Growth and Development Strategy; Digital Transformation
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Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A) (Abridged)." Harvard Business School Case 422-082, April 2022. (Revised May 2022.)
  • 03 Oct 2016
  • Working Paper Summaries

The Skills Gap and the Near-Far Problem in Executive Education and Leadership Development

Keywords: by Das Narayandas and Mihnea Moldoveanu; Education
  • Research Summary

"On design of operations & production management technology-base and performance database for empowerment of global/local industries in the international business environment"

His current research interests are in the reinforcement of continuous improvement schemes such as TPM, its global transfer and road-mapping for empowerment of industries. One of his aims while at Harvard TOM Unit is to establish infrastructure which enables... View Details

  • 18 Sep 2013
  • Research & Ideas

Excerpt: Manufacturing Morals

Editor's note: Building and landscape design can do much more for an organization than provide an inspirational headquarters or appealing work spaces. At Harvard Business School, the leafy, orderly, community setting helps reinforce a set... View Details
Keywords: Education
  • March 2008
  • Article

Testing a Purportedly More Learnable Auction Mechanism

We describe an auction mechanism in the class of Groves mechanisms that has received attention in the computer science literature because of its theoretical property of being more "learnable" than the standard second price auction mechanism. We bring this mechanism,... View Details
Keywords: Market Design; Auctions; Learning; Economics
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Milkman, Katherine L., James Burns, David Parkes, Gregory M. Barron, and Kagan Tumer. "Testing a Purportedly More Learnable Auction Mechanism." Special Issue on Theoretical, Empirical and Experimental Research on Auctions. Applied Economics Research Bulletin 2 (March 2008): 106–141. (Earlier version distributed as Harvard Business School Working Paper 08-064.)
  • 24 Oct 2023
  • HBS Case

From P.T. Barnum to Mary Kay: Lessons From 5 Leaders Who Changed the World

industry pioneer Mary Kay Ash learned about hard work, strict priorities, and the power of positive reinforcement firsthand. When she was seven, her father contracted tuberculosis, becoming housebound and... View Details
Keywords: by Avery Forman
  • 17 Dec 2012
  • Research & Ideas

Teaming in the Twenty-First Century

to do better things." Edmondson cites her academic mentors at Harvard—J. Richard Hackman, a leading thinker in team effectiveness, and Chris Argyris, an organizational learning expert—as core influences. "This [teaming] was a blending of... View Details
Keywords: by Maggie Starvish
  • June 2021
  • Technical Note

Introduction to Linear Regression

By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science
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Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
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