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Show Results For
-
All HBS Web
(11,757)
- People (75)
- News (2,846)
- Research (3,653)
- Events (31)
- Multimedia (331)
- Faculty Publications (2,321)
- Article
Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, R. Slonim and Greg Barron
Erev, Ido, Alvin E. Roth, R. Slonim, and Greg Barron. "Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games." Special Issue on Behavioral Game Theory. Economic Theory 33, no. 1 (October 2007): 29–51.
- May 2022
- Case
Deborah Quazzo at GSV Ventures
By: William A. Sahlman, Michael D. Smith and Nicole Tempest Keller
As COVID-19 swept across the globe in 2020, the education sector faced unprecedented disruption. Schools and colleges worldwide shut down, forcing over a billion students and teachers to move to online learning. Investor interest in the EdTech space exploded as...
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Keywords:
Edtech;
Technology;
Online Learning;
COVID-19 Pandemic;
Education;
Information Technology;
Venture Capital;
Change Management;
Strategy;
Education Industry;
Financial Services Industry;
Chicago;
California
Sahlman, William A., Michael D. Smith, and Nicole Tempest Keller. "Deborah Quazzo at GSV Ventures." Harvard Business School Case 822-131, May 2022.
- 2004
- Teaching Note
Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (A) and (B) Case Series, Teaching Note
By: Allen Grossman, James P. Honan and Caroline Joan King
- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...
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Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March 2021.
- December 2014
- Article
Team Reflexivity as an Antidote to Team Information Processing Failures
By: M. C. Schippers, A. C. Edmondson and M. A. West
This article proposes that team reflexivity—a deliberate process of discussing team goals, processes, or outcomes—can function as an antidote to team-level biases and errors in decision making. We build on prior work conceptualizing teams as information-processing...
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Keywords:
Team Reflexivity;
Team Information-processesing Failures;
Team Regulatory Processes;
Team Learning;
Groups and Teams;
Knowledge Management
Schippers, M. C., A. C. Edmondson, and M. A. West. "Team Reflexivity as an Antidote to Team Information Processing Failures." Small Group Research 45, no. 6 (December 2014): 731–769.
- January 2014 (Revised May 2015)
- Case
Open English
By: Jeffrey J. Bussgang and Lisa Mazzanti
Open English, a Miami-based startup offering online English language learning services, had more than 30,000 active students across Latin America in 2012. The company had just closed a $43 million financing round in order to rapidly scale its service to the next level....
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Keywords:
Technology Strategy;
Product Management;
Startup;
Online Learning;
Digital Platforms;
Entrepreneurship;
Business Startups;
Technology Industry;
Miami;
Venezuela
Bussgang, Jeffrey J., and Lisa Mazzanti. "Open English." Harvard Business School Case 814-020, January 2014. (Revised May 2015.)
- 2010
- Working Paper
Commodity Chains: What Can We Learn from a Business History of the Rubber Chain? (1870-1910)
By: Felipe Tamega Fernandes
The literature on the rubber boom applied a Dependendist view of rubber production in the Brazilian Amazon. Even though a sizable surplus was generated in the rubber chain, it was mostly appropriated by foreigners. This view is in tune with the Global Commodity Chain...
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Keywords:
Cross-Cultural and Cross-Border Issues;
Business History;
Supply Chain;
Manufacturing Industry;
Rubber Industry;
Brazil
Fernandes, Felipe Tamega. "Commodity Chains: What Can We Learn from a Business History of the Rubber Chain? (1870-1910)." Harvard Business School Working Paper, No. 10-089, April 2010.
- 2006
- Working Paper
Learning and Equilibrium As Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, Robert L. Slonim and Greg Barron
- 2023
- Working Paper
Beefing IT Up for Your Investor? Open Sourcing and Startup Funding: Evidence from GitHub
By: Annamaria Conti, Christian Peukert and Maria Roche
We study the participation of nascent firms in open source communities and its implications for attracting funding. To do so, we link data on 160,065 U.S. startups from Crunchbase to their activities on the open source development platform GitHub. In a matched sample...
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Keywords:
Startups;
Technology Strategy;
GitHub;
Machine Learning;
Business Startups;
Venture Capital;
Information Technology;
Strategy
Conti, Annamaria, Christian Peukert, and Maria Roche. "Beefing IT Up for Your Investor? Open Sourcing and Startup Funding: Evidence from GitHub." Harvard Business School Working Paper, No. 22-001, July 2021. (Revised August 2023.)
- 2015
- Chapter
The Role of Multiplier Firms and Megaprojects in Leading Change for Sustainability
In both the private and public sectors, organizations around the world face increasingly pressing questions about how to stimulate and manage change for long-term environmental, social, and economic sustainability. The purpose of this chapter is to highlight the roles...
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Keywords:
Blueprint Logic;
Learning Logic;
Megaprojects;
Multiplier Firms;
Leading Change;
Environmental Sustainability
Edmondson, Amy C., Martine Haas, John D. Macomber, and Tiona Zuzul. "The Role of Multiplier Firms and Megaprojects in Leading Change for Sustainability." Chap. 11 in Leading Sustainable Change: An Organizational Perspective, edited by Rebecca Henderson, Ranjay Gulati, and Michael Tushman. Oxford University Press, 2015.
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee...
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Keywords:
Strategy Execution;
Performance Measurement;
Critical Performance Variables;
Strategic Boundaries;
Internet Of Things;
Artificial Intelligence;
Software Development;
Big Data;
Machine Learning;
Business Startups;
Management Style;
Business Strategy;
Performance;
Measurement and Metrics;
Organizational Culture;
AI and Machine Learning;
Digital Transformation;
Applications and Software;
Digital Marketing;
Analytics and Data Science;
Technology Industry;
United States;
California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
- September 2019
- Teaching Note
Western Governors University: 10x Vision
By: William R. Kerr and Coelin P. Scibetta
Teaching Note for HBS No. 819-093.
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- Working Paper
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of...
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Keywords:
Growth and Development Strategy;
Technology Adoption;
Diversification;
Market Entry and Exit;
Transformation
Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Harvard Business School Working Paper, No. 23-032, December 2022.
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks...
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Keywords:
Discretion;
Scheduling;
Queue;
Healthcare;
Learning;
Experience;
Decentralization;
Operations;
Service Operations;
Service Delivery;
Performance;
Performance Effectiveness;
Performance Efficiency;
Performance Improvement;
Performance Productivity;
Decisions;
Time Management;
Cost vs Benefits;
Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- 2021
- Working Paper
Who Closed the Schools?
By: Joshua D. Coval
This paper examines the differences in characteristics between U.S. public schools that opted for virtual instruction because of COVID-19, and schools that did not. Much of the variation can be explained by measures of the degree to which districts favored teachers...
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Keywords:
Public Education;
COVID-19;
Virtual Learning;
Education;
Health Pandemics;
Teaching;
Internet and the Web;
Policy;
Outcome or Result;
United States
Coval, Joshua D. "Who Closed the Schools?" Harvard Business School Working Paper, No. 21-127, June 2021.
- December 1, 2021
- Article
Do You Know How Your Teams Get Work Done?
By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar
In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital...
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Keywords:
Leading Teams;
Work Recall Gap;
Machine Learning;
Algorithms;
Groups and Teams;
Management;
Technological Innovation
Murty, Rohan Narayana, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna, and Kartik Hosanagar. "Do You Know How Your Teams Get Work Done?" Harvard Business Review Digital Articles (December 1, 2021).
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying...
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Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- Research Summary
Paper - Commodity Chains: what can we learn from a business history of the rubber chain? (1870-1910)
The literature on the rubber boom applied a Marxist/Dependendist view of rubber production in the Brazilian Amazon. Even though a sizeable surplus was generated in the rubber chain, it was mostly appropriated by foreigners. This view is in tune with the Global... View Details