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Show Results For
- All HBS Web
(1,218)
- People (1)
- News (246)
- Research (702)
- Events (17)
- Multimedia (9)
- Faculty Publications (587)
Work‐from‐anywhere: The productivity effects of geographic flexibility
An emerging form of remote work allows employees to work‐from‐anywhere, so that the worker can choose to live in a preferred geographic location. While traditional work‐from‐home (WFH) programs offer the worker temporal flexibility,... View Details
- 2024
- Working Paper
Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration
By: Daniel Yue and Frank Nagle
Many companies offer free access to their technology to encourage outside addon
innovation, hoping to later profit by raising prices or harnessing the power of the crowd
while continuing to steer the direction of innovation. They can achieve this balance by
opening... View Details
Keywords: Technological Innovation; Power and Influence; Collaborative Innovation and Invention; Corporate Governance
Yue, Daniel, and Frank Nagle. "Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration." Harvard Business School Working Paper, No. 25-013, September 2024.
- Program
Competing in the Age of AI—Virtual
will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; View Details
- 15 Oct 2001
- Op-Ed
Lessons from the Rubble
Pundits and investors spoke giddily of the end of national borders, of markets that spanned the globe and replaced the hefty weight of machines View Details
Keywords: by Debora L. Spar
- 22 Oct 2007
- Research & Ideas
Bringing ‘Lean’ Principles to Service Industries
"waterfall" method in which each step of the process is completed in turn by a separate worker. By sharing mistakes across the process, the customer and project team members benefit individually View Details
- Web
Alumni
work is all about making homes and businesses more resilient with solar power and battery storage. She believes clear communication and a problem-solving mindset—skills she... View Details
- 21 Nov 2022
- Blog Post
HBS Student Club Spotlight: Sustainability Club
In this blog, hear from 2022-23 Sustainability Club co-presidents: Angela Son, Erin O’ Malley & Meghavi Talati (all MBA 2023). What are the mission and activities of your club? The Sustainability Club is a place where all students,... View Details
- 02 Jul 2019
- Blog Post
Summer Listening - HBS Podcasts to Take to the Beach
nature of work. Prediction: How AI will affect Business, Work, and LifeHow should we think about improvements in artificial intelligence? Bill speaks with Joshua Gans, co-author of "Prediction Machines: The... View Details
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- Research Summary
Overview
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Web
HBS Working Knowledge – Harvard Business School Faculty Research
Forman 24 OCT 2023 | HBS Case What do Steve Jobs and Sarah Breedlove have in common? Through a series of case studies, Robert Simons explores the unique qualities of visionary leaders and what today's... View Details
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
- December 2018
- Teaching Note
Autonomous Vehicles: The Rubber Hits the Road…but When?
By: William Kerr and James Palano
The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about... View Details
Graphic Packaging: Project Cowboy
In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details
- Web
Publications - Faculty & Research
similar to those they’d obtain by survey customers... View Details Keywords: Large Language Models ; Large Language Model ; Generative Ai ; Artificial Intelligence ; Market Research ; Research ; Marketing ; View Details
- 21 Oct 2024
- Research & Ideas
What Happens in Vegas Could Shape the Metaverse
and machine learning—Wu says the metaverse and AI are inextricably linked. After all, generative AI could help... View Details
- 08 Mar 2011
- First Look
First Look: March 8
relocate to Japan and compete with other world-class international business schools. Purchase this case:http://cb.hbsp.harvard.edu/cb/product/811061-PDF-ENG The Wright Brothers and Their Flying View Details
Keywords: Sean Silverthorne