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Show Results For
- All HBS Web
(13,825)
- People (70)
- News (4,045)
- Research (5,669)
- Events (60)
- Multimedia (96)
- Faculty Publications (2,512)
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- 08 Oct 2018
- Working Paper Summaries
Developing Theory Using Machine Learning Methods
- July 2006
- Article
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: Open Source Software; Demand-side Learning; Network Effects; Linux; Mixed Duopoly; Competitive Dynamics; Business Models; Duopoly and Oligopoly; Information Technology; Applications and Software; Business Model; Mathematical Methods; Digital Platforms; Profit; Balance and Stability; Management Analysis, Tools, and Techniques; SWOT Analysis; Competition; Price; Information Technology Industry
Casadesus-Masanell, Ramon, and Pankaj Ghemawat. "Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows." Management Science 52, no. 7 (July 2006): 1072–1084.
- 04 Mar 2024
- What Do You Think?
Do People Want to Work Anymore?
that have a lot of break time). And they work full-time, willing to do whatever needs doing to deliver a “magical” experience for guests, and willing to both teach their jobs and View Details
Keywords: by James Heskett
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
- 03 Mar 2003
- Research & Ideas
Top Ten Legal Mistakes Made by Entrepreneurs
for shares. These include requiring participating preferred with a high cumulative dividend, redemption rights exercisable after only several years, and ratchet anti-dilution protection with no cap. One must ask, what's the reputation of this firm? View Details
Keywords: by Staff
- November 2023 (Revised April 2024)
- Case
Khanmigo: Revolutionizing Learning with GenAI
By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
- 25 Oct 2017
- Research & Ideas
Will Machine Learning Make You a Better Manager?
to the point where analysts can “fingerprint” particular authors by the probability of how they use connecting words like “the,” “and,” and “that.” More recently, machine learning has moved into the realm of... View Details
- 26 Mar 2007
- Research & Ideas
Learning from Failed Political Leadership
What is missing in mainstream political debate? And what do you envision as a more effective position for the United States given current world conditions? A: American political debate is increasingly dominated View Details
Keywords: by Martha Lagace
- 05 Jul 2006
- Working Paper Summaries
Governance and CEO Turnover: Do Something or Do the Right Thing?
- June 2012
- Article
The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent organizational design on workers' productivity and organizational... View Details
Keywords: Transparency; Privacy; Organizational Learning; Operational Control; Organizational Performance; Chinese Manufacturing; Field Experiment; Rights; Interpersonal Communication; Management Practices and Processes; Ethics; Corporate Disclosure; Performance Productivity; Boundaries; Organizations; Social and Collaborative Networks; Labor and Management Relations; Power and Influence; Manufacturing Industry; China
Bernstein, Ethan S. "The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control." Administrative Science Quarterly 57, no. 2 (June 2012): 181–216.
- 13 Jun 2018
- Working Paper Summaries
Learning to Become a Taste Expert
- 10 Apr 2013
- Research & Ideas
Learning Curve: Making the Most of Outsourcing
a radiologist increase productivity by focusing on one customer? Does the radiologist's range of experiences with other customers result in better results delivered to that particular customer? Do... View Details
- 11 Apr 2018
- Research & Ideas
Sexual Harassment: What Employers Should Do Now
made to feel they are risking their careers by pushing back against bad behavior. “What you don’t do is put the onus on the person who is being victimized,” Ammerman says. “You have to assure people that... View Details
Keywords: by Dina Gerdeman
- 25 Apr 2011
- Research & Ideas
What CEOs Do, and How They Can Do it Better
University Institute—set out to get to the bottom of CEO time management by following nearly 100 top managers in Italy, as reported in a recent paper with the deceptively simple title, What Do CEOs Do?... View Details
Keywords: by Michael Blanding
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- 08 Jun 2007
- Working Paper Summaries
Poverty, Social Divisions and Conflict in Nepal
Keywords: by Quy-Toan Do & Lakshmi Iyer
- 06 Jul 2016
- What Do You Think?
How Do We Pay for the Costs of Globalization?
to do it. What do you think? Original Column The Brexit vote by citizens of the United Kingdom to leave the European Union was neither the beginning nor the end of the... View Details
- May 2016
- Article
Learn to Love Networking. Even People Who Find It Repugnant Can Do It Effectively
By: T. Casciaro, F. Gino and M. Kouchaki
Casciaro, T., F. Gino, and M. Kouchaki. "Learn to Love Networking. Even People Who Find It Repugnant Can Do It Effectively." Harvard Business Review 94, no. 5 (May 2016): 104–107.
- 23 Sep 2015
- Research & Ideas
Men Want Powerful Jobs More Than Women Do
Desirable. “Even in the most progressive, gender-balanced households, on average, women seem to think about a greater diversity of pursuits” While you let that provocative title sink in, it’s worth noting that the research was conducted View Details
Keywords: by Carmen Nobel
- Research Summary
Front-Line Organizational Learning
Dr. Tucker uses operations management and organizational learning theory to understand and improve front-line work processes. Specifically, she examines the conditions under which the problem solving routines of front-line workers are likely to result in positive... View Details