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Show Results For
- All HBS Web
(8,724)
- People (64)
- News (2,413)
- Research (2,982)
- Events (24)
- Multimedia (139)
- Faculty Publications (1,408)
- 20 Nov 2000
- Research & Ideas
Moving from Supply Chains to Supply Networks
competitive advantage.EE: How is Managing the Supply Chain: The General Manager's Perspective unique from other supply chain programs offered in recent years? Shapiro: Traditionally, the supply chain has been taught at the level of... View Details
Keywords: by Staff
- 25 Sep 2012
- Working Paper Summaries
Colocation and Scientific Collaboration: Evidence from a Field Experiment
- 2017
- Working Paper
The Need for Speed: Effects of Uncertainty Reduction in Patenting
By: Mike Horia Teodorescu
Patents are essential in commerce to establish property rights for ideas and to give equal protection to firms that develop new technologies. Young firms especially depend on the protection of intellectual property to bring a product from concept to market. However,... View Details
- 2017
- Working Paper
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... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Delegation; Behavioral Operations; 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." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- February 2024
- Article
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... View Details
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." Special Issue on Knowledge Resources and Heterogeneity of Entrants within and across Industries. Industrial and Corporate Change 33, no. 1 (February 2024): 238–252.
- Working Paper
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which... View Details
Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." SSRN Working Paper Series, No. 4071188, November 2023.
- 08 Oct 2021
- Blog Post
8 Stories from PRIDE for National Coming Out Day
Grandma Rosie was the fear that she might learn of it from someone else. So, seventeen days after the election, I tearfully told my Trump-supporting, devoutly Catholic grandmother the truth. She listened... View Details
- 07 Oct 2020
- Blog Post
7 Coming Out Stories from the HBS PRIDE Club
large family gathering without my ex-husband and the rumor mill began to churn. The only thing scarier to me than coming out to my beloved Grandma Rosie was the fear that she might learn of it from someone... View Details
- 14 Jul 2020
- Research & Ideas
Restarting Under Uncertainty: Managerial Experiences from Around the World
across a variety of countries and sectors. The results of this exploration show that managers are trying to ensure safety and maintain profitability with tremendous energy and creativity. While specific tactics vary by company, they share common underlying principles:... View Details
- 01 Oct 1998
- News
Dinh Thi Hoa: Up from the Ashes of War
Today, 25 years later, Hoa is still living in Hanoi and doing her part to help her impoverished country establish a modern, productive economy. As managing director of Galaxy Company, a successful consulting firm, her advice on doing business in Vietnam is sought by... View Details
Keywords: Dun Gifford, Jr. (MBA 1992)
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 2007
- Working Paper
Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services
By: Robert S. Huckman, Bradley R. Staats and David M. Upton
Much of the literature on team learning views experience as a unidimensional concept captured by the cumulative production volume of, or the number of projects completed by, a team. Implicit in this approach is the assumption that teams are stable in their membership... View Details
Keywords: Experience and Expertise; Learning; Performance Improvement; Projects; Groups and Teams; Familiarity; Information Technology Industry; India
Huckman, Robert S., Bradley R. Staats, and David M. Upton. "Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services." Harvard Business School Working Paper, No. 08-019, September 2007. (Revised February 2008, July 2008.)
- 07 Jun 2021
- Book
9 Tips from an Expert Fundraiser: Help Donors 'Invest in Their Passion'
Professor of Business Administration Emeritus. “It is hard work and absolutely vital if the organization is to succeed.” In this excerpt from Effective Fundraising, McFarlan offers nine practical tips for trustees preparing to seek... View Details
Keywords: by Danielle Kost
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- Blog
Lessons from Jazz in the Live Online Classroom
Trumpeter Miles Davis is heralded as one the most influential jazz musicians ever, helping to drive forward major evolutions in the genre. While he has inspired scores of jazz musicians over the decades, a different audience can also View Details
- January 2009
- Article
Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services
By: Robert S. Huckman, Bradley R. Staats and David M. Upton
Much of the literature on team learning views experience as a unidimensional concept captured by the cumulative production volume of, or the number of projects completed by, a team. Implicit in this approach is the assumption that teams are stable in their membership... View Details
Keywords: Experience and Expertise; Learning; Performance Improvement; Projects; Groups and Teams; Familiarity; Information Technology Industry; India
Huckman, Robert S., Bradley R. Staats, and David M. Upton. "Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services." Management Science 55, no. 1 (January 2009): 85–100.
- 01 Dec 2013
- News
Recognizing Potential
When Mark Stevens (MBA 1989) first heard about HBX, he immediately recognized its potential for providing a transformational learning experience for participants around the world. "I understand the impact you can achieve by creating... View Details
- 26 Mar 2020
- Blog Post
Make Work from Home Work For You (And Your Team)
to mention the ease of unplugging your laptop and bringing it home, make work from home manageable. However, not everyone is going to be comfortable with these technologies right away and Stephan stresses the importance of being patient... View Details
Keywords: All Industries