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All HBS Web
(1,314)
- People (1)
- News (261)
- Research (802)
- Events (13)
- Multimedia (7)
- Faculty Publications (640)
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...
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Keywords:
Forecasting and Prediction;
AI and Machine Learning;
Consumer Behavior;
Technology Adoption;
Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 01 Mar 2019
- News
Alumni and Faculty Books for March 2019
As the Ottoman Empire crumbled, the Middle East and Balkans became the site of contestation and cooperation between the traditional forces of religion and the emergent View Details
- 19 Jan 2023
- Research & Ideas
What Makes Employees Trust (vs. Second-Guess) AI?
products were grouped in 241 “style-colors'' and sizes. When the allocators received a recommendation from an interpretable algorithm, they often overruled it based on their own intuition. But when the same allocators had a recommendation...
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by Rachel Layne
- 21 Aug 2018
- First Look
New Research and Ideas, August 21, 2018
2018 Boston: Harvard Business Review Press Driving Digital Strategy: A Guide to Reimagining Your Business By: Gupta, Sunil Abstract—Disruption and transformation get a lot of hype and for good reason....
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Dina Gerdeman
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,...
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 11 Apr 2023
- Research & Ideas
Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide
industry lines as companies increasingly bring seemingly unrelated business lines together in unconventional ways. New research by Awada, Harvard Business School Professor Suraj Srinivasan, and doctoral student Paul J. Hamilton harnesses...
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- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more...
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Keywords:
COVID-19 Pandemic;
Epidemics;
Analytics and Data Science;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- August 1997 (Revised June 2023)
- Case
Fabritek, 1992
Describes a large-volume automotive parts contract in a high-quality machine work company. Quality and delivery problems arise when one of the four men on the job is replaced with a high producer who cannot earn a substantial bonus because of machine interference.
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Keywords:
Machinery and Machining;
Compensation and Benefits;
Selection and Staffing;
Production;
Quality;
Manufacturing Industry
Hammond, Janice H. "Fabritek, 1992." Harvard Business School Case 698-014, August 1997. (Revised June 2023.)
- Research Summary
Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
By: Karen Mills
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been...
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Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market... View Details
- 04 Apr 2022
- Research & Ideas
Tech Hubs: How Software Brought Talent and Prosperity to New Cities
software patents. These classified patents were then used to train a machine learning algorithm to identify among millions of patents those that were software related. Once software and non-software patents...
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by Rachel Layne
- 26 Mar 2024
- Research & Ideas
How Humans Outshine AI in Adapting to Change
begin a task, pivoting your perspective of where you are and what you can do as your environment changes. Artificial intelligence can’t do that yet—and the machines may have a long way to go before they can...
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- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
Although adoption of artificial intelligence (AI) and machine learning (ML) for the enterprise is still in the early days, the technology has matured enough for entrepreneurs to start gathering inspiration...
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by Rocio Wu
- 24 Jun 2019
- Blog Post
Chloe Ho, MBA 2019: Data-Driven and In Demand
mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning models. Ho took this newly acquired...
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Keywords:
Technology
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
some estimates, with players such as Bumble, Tinder, and OKCupid vying to help people find love. While McFowland is not a dating expert, his work in machine learning and social...
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by Kara Baskin
- 01 Jun 2022
- Blog Post
Climate Stories Episode #6: Climate Change, Peacebuilding, and Business: Lise Grande and Dr. Teagan Blaine, USIP.
fell during that winter, destroying railroad ties and washing away crops. We had to carry our water for six months because the hydropower machines were overwhelmed and had to...
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- 10 Mar 2015
- Research & Ideas
The Surprising Winners and Losers in the Retail Revolution
and you say, holy cow. That's the conundrum that Walmart is in. Think about this. There are more than 30,000 dollar stores in the US, you can find one everywhere: in rural regions you find Dollar General and...
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- January 1995 (Revised October 1995)
- Case
Schweizerische Maschinenfabrik Zug, A.G.
Schweizerische Maschinenfabrik Zug (SMZ), a 110-year old Swiss machinery firm, faces several issues at the end of 1992. It's not clear whether the company will be able to maintain its traditional price premium in the face of foreign competition. The firm must chart a...
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Keywords:
Competition;
Machinery and Machining;
Globalized Markets and Industries;
Manufacturing Industry;
Switzerland
Enright, Michael J. "Schweizerische Maschinenfabrik Zug, A.G." Harvard Business School Case 795-026, January 1995. (Revised October 1995.)
- 01 Nov 1999
- Research & Ideas
John H. Patterson and the Sales Strategy of the National Cash Register Company, 1884 to 1922
described the register for the first time and explained how it would prevent theft and give an accurate account of the day's receipts. The goal of this stage was to schedule a demonstration of the View Details
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by Walter A. Friedman