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Show Results For
- All HBS Web
(1,562)
- News (204)
- Research (1,133)
- Events (16)
- Multimedia (1)
- Faculty Publications (662)
Miaomiao Zhang
Miaomiao Zhang is a doctoral candidate at the Technology & Operations Management Unit at Harvard Business School. Miaomiao received a B.S. in Applied Mathematics & Statistics and Economics from Emory University. She worked at the Strategy Unit at Harvard... View Details
- 06 Jun 2017
- First Look
First Look at New Research and Ideas: June 6, 2017
importance; the development of capabilities; and competition. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52725 forthcoming Management Science Strategy... View Details
Keywords: Sean Silverthorne
- 01 Dec 2022
- News
Educating, Connecting, and Mobilizing Around Climate Change
opportunities, measuring and analyzing purpose inside organizations, ESG data analytics and strategies, and the... View Details
Keywords: Jennifer Gillespie
- 01 Jun 1996
- News
Four Professors to Retire
manager with three multinational companies, living in the United States, Venezuela, Bahrain, and London. Increasingly interested in exploring the intellectual and View Details
Keywords: Elaine Gottlieb and John Prestage
- September 2019 (Revised May 2021)
- Case
pymetrics: International Expansion
By: John R. Wells and Benjamin Weinstock
In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details
Keywords: BrainTech; Psychodynamics; Psychology; Hiring Of Employees; Hiring; Strategic Evolution; Strategy And Execution; Startup; Start-up; Startups; Start-ups; Entrepreneur; Bias; Rapid Growth Stage; Recruitment; Selection and Staffing; Strategy; Business Startups; Employment; Growth and Development Strategy; Global Strategy
Wells, John R., and Benjamin Weinstock. "pymetrics: International Expansion." Harvard Business School Case 720-376, September 2019. (Revised May 2021.)
- December 2020 (Revised April 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
- February 2025
- Supplement
Intenseye: Powering Workplace Health and Safety with AI (B)
By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri
Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details
Keywords: Safety Performance; Occupational Safety; Innovation; Safety; Operations; Health; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Supply Chain Management; Performance Improvement; Entrepreneurship; Product Development; Customer Relationship Management; Value Creation; Venture Capital; Growth and Development Strategy; Information Technology Industry; United States; Europe; Middle East; Turkey
Toffel, Michael W., Shane Greenstein, and Sadika El Hariri. "Intenseye: Powering Workplace Health and Safety with AI (B)." Harvard Business School Supplement 625-025, February 2025.
- 16 Nov 2020
- Blog Post
Flatiron School: Reflections from Summer 2020
In the summer of 2020, HBS Career & Professional Development (CPD) partnered with Flatiron School to provide students with an opportunity to gain practical skills, statistics fundamentals, and real-life View Details
Keywords: All Industries
- 12 Feb 2016
- Op-Ed
The Real Jobs Tragedy in the US: We've Lost the Skills
who will not earn a four-year college degree. Joe Fuller is a professor of Management Practice at the Harvard Business School and on the faculty team of the School’s U.S. Competitiveness Project. Matt... View Details
- 03 Jun 2020
- Research & Ideas
Who Guarantees Your Workplace Is Safe for Return?
categories of Health Performance Indicators can offer up objective data about the current status of a building and identify meaningful fluctuations over time. How are these HPIs gathered View Details
- 01 Dec 2015
- News
Alumni and Faculty Books for December 2015
make up for lost years, he was surprised to find himself at Harvard at age 23. Primed to Perform: How to Build the Highest Performing Cultures through the Science of Total Motivation by Neel Doshi and... View Details
- 17 Jun 2014
- First Look
First Look: June 17
Tech Standards By: Lerner, Josh, and Jean Tirole Abstract—No abstract available. Publisher's link: http://www.sciencemag.org/content/343/6174/972.figures-only August 2013 Management View Details
Keywords: Sean Silverthorne
- 08 Oct 2020
- HBS Seminar
Ginger Jin, University of Maryland
- 1999
- Article
Commercial Use of UPC Scanner Data: Industry and Academic Perspectives
By: Randolph E. Bucklin and Sunil Gupta
Keywords: Analytics and Data Science; Information Technology; Perspective; Education; Supply and Industry
Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
- 29 Aug 2017
- First Look
First Look at New Research and Ideas, August 29
August 14, 2017 Harvard Business Review Study: More Frequent Sales Quotas Help Volume but Hurt Profits By: Chung, Doug J., and Das Narayandas Abstract—No abstract available. Publisher's link:... View Details
Keywords: Sean Silverthorne
- 2012
- Working Paper
~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)
- 30 May 2017
- First Look
First Look at New Research and Ideas, May 30
These findings challenge previous recommendations for optimal advice-seeking behavior. Harvard Business School Case 617-059 Flashion: Art vs. Science in Fashion Retailing Kate Wilson, retail analytics View Details
Keywords: Sean Silverthorne
- Web
Institute Associates - Institute For Strategy And Competitiveness
(UCSF) School of Medicine, and Core Faculty of the Philip R. Lee Institute for Health Policy Studies. He holds a Bachelor of Science degree in Biomedical Engineering from Duke University, where he graduated... View Details
- 22 Oct 2019
- Research & Ideas
Use Artificial Intelligence to Set Sales Targets That Motivate
advanced analytics that incorporate artificial intelligence (AI). “Chung has seen companies dramatically improve productivity after adopting advanced analytics to guide compensation.” In an ideal world, a... View Details
Keywords: by Michael Blanding
- Article
Productivity and Selection of Human Capital with Machine Learning
By: Aaron Chalfin, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig and Sendhil Mullainathan
Keywords: Analytics and Data Science; Selection and Staffing; Performance Productivity; Mathematical Methods; Policy
Chalfin, Aaron, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig, and Sendhil Mullainathan. "Productivity and Selection of Human Capital with Machine Learning." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 124–127.