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- All HBS Web (115)
- Faculty Publications (28)
Show Results For
- All HBS Web (115)
- Faculty Publications (28)
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
years." Companies are forecast to spend $98 billion on AI worldwide in 2023 compared to $38 billion in 2019. While the money may be flowing, few companies have figured out the best way to harness AI while navigating new challenges this...
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by Dina Gerdeman
- Web
Research - Behavioral Finance & Financial Stability
Gennaioli, Yueran Ma & Andrei Shleifer SEP 2020 What does predictability of forecast errors teach us about how market participants form expectations? The authors study the rationality of individual and consensus View Details
- 04 Dec 2019
- Book
Creating the Experimentation Organization
experiments to optimize customer experience—and their own return on investment. “Very few people know they are participants in this massive experimentation ecosystem,” says Thomke. And it’s not just online. Retailers such as Walmart and...
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by Michael Blanding
- Web
Social Enterprise - Faculty & Research
continuing to scale BIG company-wide while combining technology with the human infrastructure needed to optimize the program’s success, and fostering more breakthrough, "extra-corerestrial" (beyond the core business) ideas within BIG....
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- 14 Oct 2021
- In Practice
Reunited and It Feels (Not) So Good: Tips for Managing a Rocky Return
COVID-19 variants snuffed out the brief period of vaccination-injected optimism earlier this year, as childcare and school disruptions lingered. Despite such resistance and health concerns, some employees have joyfully returned to their...
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by Kristen Senz
- Blog
Is AI Coming for Your Job?
At the same time, for other tasks, AI will provide useful outputs but will need humans to optimize these outputs and complete tasks successfully. When thinking about "knowledge work," it is especially important to consider that many of...
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- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
departments within the firm could query it for answers to questions ranging from optimal pricing to product design. What prevents this from materializing? After all, machine learning is delivering self-driving cars and beating human...
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by Kristen Senz
- Web
Case Studies - Social Impact Collaboratory
players in impact investing is an opportunity but also a risk. TPG Rise is defending against that risk by developing a detailed algorithm to forecast and “underwrite” impact using academic evidence. This raises many questions about rigor,...
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- 18 Jul 2019
- Lessons from the Classroom
The Internet of Things Needs a Business Model. Here It Is
sensors can be combined with weather forecasting to help energy companies figure out the optimal amount of electricity they should sell into the grid. “Very little human intervention is needed,” Lal says....
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- 01 Dec 2022
- News
Singing to the Corn
growing things could play in educating others about indigenous cultures. Now he talks about the intelligence of corn—how it changes color to optimize filtration of ultraviolet light: Soon, he explains, the corn leaves will be tinted a...
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- 14 Dec 2011
- Research & Ideas
The New Measures for Improving Nonprofit Performance
worked in our favor was that we had developed multiyear financial forecast models. We were dealing with bank workout teams, which is very rugged. But because we had that information, we stunned them. They didn't expect that coming from a...
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by Julia Hanna
- 18 Oct 2004
- Research & Ideas
The Bias of Wall Street Analysts
the level of optimism embedded in their published research. This is exactly what we found. Even more interesting is that the optimism embedded in analysts' forecasts differs...
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- 17 Apr 2020
- News
Decreasing the Wealth Gap
Ray Dalio Ray Dalio As founder of Bridgewater Associates, the world’s largest hedge fund, Ray Dalio (MBA 1973) is well known for his ability to forecast the future. Dalio—whose foundation has committed millions of dollars to improving...
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- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
the researchers then developed an efficient multi-product price optimization algorithm to concurrently recommend prices for all products on Rue La La’s site in a given day. Determining optimal pricing Then,...
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- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
time-varying, regularized parameters, and multiplicative errors can make its quantile forecasts more accurate than leading diffusion models, such as the Bass, gamma/shifted-Gompertz, and trapezoid models. Fifth, the model's estimation...
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Dina Gerdeman
- 01 Jul 2014
- First Look
First Look: July 1
Jeremy C. Stein Abstract—We study optimal government debt maturity in a model where investors derive monetary services from holding riskless short-term securities. In a setting where the government is the only issuer of such riskless...
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Carmen Nobel
- 08 Jul 2013
- Research & Ideas
Everything Must Go: A Strategy for Store Liquidation
working paper, doctoral student Nathan Craig and professor Ananth Raman introduce a dynamic approach for optimizing the profitability of store liquidation that increases net recovery on cost by 2 to 7 percent of assets on hand, an...
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- 11 Jan 2011
- First Look
First Look: Jan. 11
Publication:Journal of Finance (forthcoming) Abstract We show that characteristics of stock issuers can be used to forecast important common factors in stocks' returns such as those associated with book-to-market, size, and industry....
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Sean Silverthorne
- 01 Apr 1998
- News
Short Takes
Be Flexible In today's competitive and volatile business environment, depending on forecasting as the basis for planning and strategy has become a particularly risky way to operate. Especially vulnerable are manufacturing projects that...
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Garry Emmons and Caroline Chauncey
- 19 Dec 2006
- First Look
First Look: December 19, 2006
In this paper we propose a perceptions framework for categorizing a range of inventory policies, including optimal inventory policies, that can be employed in a single-stage supply chain. The perceptions framework is based on View Details
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Sean Silverthorne