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All HBS Web
(882)
- People (1)
- News (179)
- Research (526)
- Events (7)
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- Faculty Publications (408)
Show Results For
-
All HBS Web
(882)
- People (1)
- News (179)
- Research (526)
- Events (7)
- Multimedia (4)
- Faculty Publications (408)
Work‐from‐anywhere: The productivity effects of geographic flexibility
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
- 2021
- Working Paper
An Empirical Study of Time Allotment and Delays in E-commerce Delivery
- June 2020
- Article
Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure
- September–October 2023
- Article
Reskilling in the Age of AI
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
- 22 Oct 2007
- Research & Ideas
Bringing ‘Lean’ Principles to Service Industries
Robert J. Dolan
Robert J. Dolan is the Baker Foundation Professor at Harvard Business School. He received his Ph.D. from the University of Rochester and began his academic career in 1976 as a faculty member at the Graduate School of Business of the University of Chicago. He joined... View Details
- Program
Competing in the Age of AI—Virtual
- 2020
- Book
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
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
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
- 08 Mar 2011
- First Look
First Look: March 8
- 09 Mar 2016
- Lessons from the Classroom
In This Classroom, Beer Can Improve Your Grade
- Web
HBS Working Knowledge – Harvard Business School Faculty Research
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
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
- 2019
- Book
Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
- Web
Online Business Analytics Course | HBS Online
- 2023
- Chapter