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  • All HBS Web  (3,064)
    • People  (14)
    • News  (651)
    • Research  (1,581)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (861)
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  • 2023
  • Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • 2003
  • Working Paper

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat
This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details
Keywords: Business Model; Competition; Open Source Distribution; Balance and Stability; Applications and Software; Network Effects; Duopoly and Oligopoly
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Casadesus-Masanell, Ramon, and Pankaj Ghemawat. "Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows." Harvard Business School Working Paper, No. 04-012, August 2003.
  • 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.)
  • 20 Nov 2006
  • Research & Ideas

Open Source Science: A New Model for Innovation

In a perfect world, scientists share problems and work together on solutions for the good of society. In the real world, however, that's usually not the case. The main obstacles: competition for publication and intellectual property protection. Is there a View Details
Keywords: by Martha Lagace
  • April 2011
  • Article

What Can We Learn from 'Great Negotiations'?

By: James K. Sebenius
What can one legitimately learn-analytically and/or prescriptively-from detailed historical case studies of "great negotiations," chosen more for their salience than their analytic characteristics or comparability? Taking a number of such cases compiled by Stanton... View Details
Keywords: Learning; International Relations; History; Agreements and Arrangements; Negotiation Process; Conflict and Resolution
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Sebenius, James K. "What Can We Learn from 'Great Negotiations'?" Negotiation Journal 27, no. 2 (April 2011).
  • July 2019
  • Teaching Note

Miroglio Fashion

By: Sunil Gupta
Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; Marketing; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
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Gupta, Sunil. "Miroglio Fashion." Harvard Business School Teaching Note 520-007, July 2019.
  • 08 Sep 2015
  • Research & Ideas

Knowledge Transfer: You Can't Learn Surgery By Watching

corporate roles is to improve upon traditional vicarious learning models. ©iStock.com/cacaroot Instead, Myers envisions a model of coactive vicarious learning. “The major shift theoretically is moving from a... View Details
Keywords: by Michael Blanding; Health
  • Article

How Real Sales Learning Happens: In the Flow of Work

By: Yuchun Lee, Mark Magnacca and Frank V. Cespedes
Most learning in sales is through peer learning in task-specific contexts, and the effects are cumulative because modeling behavior is a big driver of how salespeople develop. This is very different from the experience in most training seminars, especially if the... View Details
Keywords: Sales; Learning; Training; Performance
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Lee, Yuchun, Mark Magnacca, and Frank V. Cespedes. "How Real Sales Learning Happens: In the Flow of Work." Learning Solutions (February 15, 2021).
  • 2011
  • Working Paper

The Importance of Work Context in Organizational Learning from Error

By: Lucy H. MacPhail and Amy C. Edmondson
This paper examines the implications of work context for learning from errors in organizations. Prior research has shown that attitudes and behaviors related to error vary between groups within organizations but has not investigated or theorized the ways in which... View Details
Keywords: Judgments; Learning; Business Processes; Organizational Culture; Failure; Performance Improvement; Opportunities; Complexity
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MacPhail, Lucy H., and Amy C. Edmondson. "The Importance of Work Context in Organizational Learning from Error." Harvard Business School Working Paper, No. 11-074, January 2011.
  • 15 Jan 2018
  • Research & Ideas

A Better Business Model for Fighting Cancer

providing incentives and protecting proprietary information as needed—then leveraging the latest in artificial intelligence and machine learning through entities such as GNS Healthcare and IBM’s Watson to... View Details
Keywords: by Julia Hanna; Health; Pharmaceutical
  • 15 Nov 2006
  • Research & Ideas

Lessons Not Learned About Innovation

be rediscovered in each managerial generation (about every six years) as a fundamental way to enable new growth. But each generation seems to have forgotten or never learned the mistakes of the past, so we see classic traps repeated over... View Details
Keywords: by Sean Silverthorne
  • April 2025
  • Article

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
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Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
  • Research Summary

Overview

Prithwiraj (Raj) Choudhury is the Lumry Family Associate Professor at the Harvard Business School. He was an Assistant Professor at Wharton prior to joining Harvard. His research is focused on studying the Future of Work, especially the changing Geography of Work. In... View Details
Keywords: Geography; Mobility; Migration; Multinational; Productivity; Crucible Experiences; Machine Learning; Geographic Location; Technology Industry; India; United States; China
  • September 2014
  • Article

Advancing Consumer Neuroscience

By: Ale Smidts, Ming Hsu, Alan G. Sanfey, Maarten A. S. Boksem, Richard B. Ebstein, Scott A. Huettel, Joe W. Kable, Uma R. Karmarkar, Shinobu Kitayama, Brian Knutson, Israel Liberzon, Terry Lohrenz, Mirre Stallen and Carolyn Yoon
In the first decade of consumer neuroscience, strong progress has been made in understanding how neuroscience can inform consumer decision making. Here, we sketch the development of this discipline and compare it to that of the adjacent field of neuroeconomics. We... View Details
Keywords: Consumer Neuroscience; Neuroeconomics; Social Neuroscience; Genes; Machine Learning; Meta-analysis; Consumer Behavior; Decision Making; Science
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Smidts, Ale, Ming Hsu, Alan G. Sanfey, Maarten A. S. Boksem, Richard B. Ebstein, Scott A. Huettel, Joe W. Kable, Uma R. Karmarkar, Shinobu Kitayama, Brian Knutson, Israel Liberzon, Terry Lohrenz, Mirre Stallen, and Carolyn Yoon. "Advancing Consumer Neuroscience." Marketing Letters 25, no. 3 (September 2014): 257–267.
  • Teaching Interest

Overview

Teaching has been a lifelong passion of mine. As the third generation of academics in my family, I see good teaching as a means to give back and to encourage others to share my passion for discovery. I’ve been very lucky to have many teaching opportunities, both as an... View Details
Keywords: Big Data; Technology Strategy; Machine Learning; Data Science; "Marketing Analytics"; Data Visualization; Analysis; Technological Innovation; Innovation and Invention; Intellectual Property; Corporate Strategy; Software; Information Technology; Entrepreneurship; Marketing; Technology Industry; Information Technology Industry; Green Technology Industry; Computer Industry; Advertising Industry
  • Article

Learning Through Noticing: Theory and Evidence from a Field Experiment

By: Rema Hanna, Sendhil Mullainathan and Joshua Schwartzstein
We consider a model of technological learning under which people "learn through noticing": they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may... View Details
Keywords: Perception; Behavior; Learning
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Hanna, Rema, Sendhil Mullainathan, and Joshua Schwartzstein. "Learning Through Noticing: Theory and Evidence from a Field Experiment." Quarterly Journal of Economics 129, no. 3 (August 2014): 1311–1353. (Online Appendix.)
  • Research Summary

Organisational Learning in Software Requirements Engineering and Management

The current research project addresses the continuing low success rate of software development projects, which has been frequently reported in empirical studies. For example, the 2004 Chaos Report by the Standish Group found that only 29% of 9,236 application... View Details

  • 2008
  • Chapter

Overcoming Barriers to Collaboration: Psychological Safety and Learning in Diverse Teams

By: A. Edmondson and Kate Roloff
We review research on psychological safety and team learning to identify core ideas and findings in these closely related literatures and to propose a model in which a negative relationship between team member diversity and team collaboration is moderated by... View Details
Keywords: Interpersonal Communication; Groups and Teams; Social and Collaborative Networks; Performance Improvement; Learning; Diversity
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Edmondson, A., and Kate Roloff. "Overcoming Barriers to Collaboration: Psychological Safety and Learning in Diverse Teams." In Team Effectiveness in Complex Organizations: Cross-disciplinary Perspectives and Approaches, edited by E. Sales, G. G. Goodwin, and C. S. Burke.Organizational Frontiers Series. Mahwah, NJ: Lawrence Erlbaum Associates, 2008.
  • 06 Dec 2017
  • Working Paper Summaries

Trials and Terminations: Learning from Competitors' R&D Failures

Keywords: by Joshua Lev Krieger
  • 17 Jun 2019
  • Research & Ideas

What Hospitals Must Learn to Compete

innovation in the industry is coming from entrants that say, “Let’s start with the patient perspective.” Sadun: Absolutely. And hopefully these new models will dispel the idea that there is a trade-off between providing excellent care and... View Details
Keywords: by Alumni Bulletin Staff; Health
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