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Show Results For
- All HBS Web
(317)
- News (46)
- Research (189)
- Events (1)
- Multimedia (1)
- Faculty Publications (125)
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- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
collect the data, and then expect machine learning methods to spit out insight for you.” “We tend to think that when we have all this rich data... View Details
Keywords: by Kristen Senz
- 07 Jan 2019
- Research & Ideas
The Better Way to Forecast the Future
for prediction and for forecasting something that is unknown.” The rise of big data and machine learning offers infinitely more fuel to churn out... View Details
- 02 Jun 2022
- Research & Ideas
Blissful Thinking: When It Comes to Finding Happiness, 'Your Dreams Are Liars'
the research problem, at this point. I’m the subject and I’m the researcher. I’m like a perpetual-motion machine of happiness research.” In this conversation with the HBS Alumni Bulletin, Brooks talks about... View Details
Keywords: by Dan Morrell
- 24 Jan 2005
- Research & Ideas
Rethinking Activity-Based Costing
machine is available to work 40 hours per week, its practical full capacity is 32 to 35 hours per week. Typically, managers would allot a lower rate—say 80 percent—to people, allowing 20 percent of their time for breaks, arrival View Details
Keywords: by Robert S. Kaplan & Steven R. Anderson
- 06 Mar 2012
- First Look
First Look: March 6
Racial Asymmetries, and Team Learning Environment: Effects on Performance Authors:Robin J. Ely, Irene Padavic, and David A. Thomas Publication:Organization Studies... View Details
Keywords: Sean Silverthorne
- 25 May 2021
- Research & Ideas
White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?
Airbnb began offering a free tool to help all hosts set reasonable rates. The real-time, “smart pricing” program uses machine learning to automatically adjust the property’s nightly fees by considering a... View Details
- 19 Apr 2004
- Research & Ideas
Birth of the American Salesman
Influence People, published originally in 1937, remains one of the most popular and draws in part on lessons the author learned working as a salesman for Armour. Q: You trace the world of selling in America... View Details
Keywords: by Laura Linard
- 04 Aug 2003
- Research & Ideas
Shackleton: An Entrepreneur of Survival
are much, much greater than they expected them to be. Crew of the Endurance, when spirits were still high. Photo by Frank Hurley, voyage photographer. Copyright Royal Geographical Society, London. The third reason is that the Shackleton story is compelling. Case View Details
Keywords: by Martha Lagace
- 07 Aug 2013
- What Do You Think?
Is There Still a Role for Judgment in Decision-Making?
contradictory to sound judgment. It only emphasizes it . Judgment is an encapsulation of all those elements data, facts, processes, etc that go into decisions from which we have learned in the past." Joe Schmid said: "Our... View Details
Keywords: by James Heskett
- 28 Apr 2003
- Research & Ideas
Supply Chain Risk: Deal With It
Back in the early 1990s, managers of U.S. companies were justifiably proud of the well-oiled machines they'd made of their supply chains. Over the previous fifteen to twenty years, they'd wrung costs from the mechanisms View Details
Keywords: by David Stauffer
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
of tests to make its own estimations. The computer had no way of parsing the language in the jokes, nor did it follow a model indicating what features made a joke funny. Instead, it relied on “collaborative filtering” algorithms to learn... View Details
Keywords: by Dina Gerdeman
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 26 Mar 2018
- Research & Ideas
To Motivate Employees, Give an Unexpected Bonus (or Penalty)
employees make or how many units they produce. “The objective performance measures don’t take into consideration whether the machine broke down or whether someone is still learning the job,” Gallani... View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 22 Feb 2021
- Book
Reaching Today's Omnichannel Customer Takes a New Sales Strategy
other business function. But the ROI is disappointing because much of the training misunderstands how salespeople learn, is classroom-centric, and fails to take advantage of new tools that stimulate peer View Details
Keywords: by Kristen Senz
- 14 Dec 2011
- Research & Ideas
The New Measures for Improving Nonprofit Performance
approaches for enabling learning and capacity building inside an organization, as compared to evaluative methods that are used after the fact. What Mario View Details
Keywords: by Julia Hanna
- 16 Aug 2017
- Research & Ideas
Researchers Use Google Street View to See the Future of Cities
extra boost in development. A new tool by Harvard and MIT researchers promises to do just that, with the help of machine learning and the biggest... View Details
- 15 Sep 2015
- First Look
September 15, 2015
account for the majority of sales and revenue. To tackle this challenge, we use machine learning techniques to estimate historical lost sales and... View Details
Keywords: Sean Silverthorne
- 20 Mar 2017
- Book
Why Companies Are Placing Users at the Core of Their Innovation Strategies
on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,... View Details
Keywords: by Dina Gerdeman
- 10 Dec 2013
- First Look
First Look: December 10
time and markets. Specifically, we build a model in which two firms that differ in their capabilities enter sequentially into two markets with different potentials for profit. The model is solved using game theory under three View Details
Keywords: Sean Silverthorne