Filter Results
:
(1,318)
Show Results For
-
All HBS Web
(1,318)
- People (1)
- News (265)
- Research (803)
- Events (13)
- Multimedia (7)
- Faculty Publications (641)
Show Results For
-
All HBS Web
(1,318)
- People (1)
- News (265)
- Research (803)
- Events (13)
- Multimedia (7)
- Faculty Publications (641)
- 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...
View Details
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).
- 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...
View Details
Keywords:
Technology
- 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...
View Details
- 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...
View Details
- 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...
View Details
- 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
- 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...
View Details
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,...
View Details
Keywords:
AI and Machine Learning;
Forecasting and Prediction;
Working Conditions;
Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- October 2001 (Revised December 2004)
- Case
Chiang-Sho Ltd.
Chiang-Sho Ltd. is a joint venture producing agricultural machinery in China. The CEO must decide how to respond to pressure from the Chinese partner--also the joint venture's largest customer--to increase production and lower prices. The CEO must choose either a...
View Details
West, Jonathan, and Mona Ashiya. "Chiang-Sho Ltd." Harvard Business School Case 602-100, October 2001. (Revised December 2004.)
- 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,...
View Details
DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 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.
View Details
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.)
- 08 Feb 2016
- Research & Ideas
The Civic Benefits of Google Street View and Yelp
to use it, and when not to use it.” Taming the data flow To get a handle on all this data and to better predict outcomes of policies, Luca believes cities need to develop algorithms to coordinate their own...
View Details
- 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...
View Details
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.
- Web
Technical Benefits and Features - Research Computing Services
Multiple servers that provide redundancy to avoid a single point of failure Up to 10x speedup for certain math, algebraic, and statistical functions & algorithms. No restriction on RAM (other than physical View Details
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
- 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...
View Details
Keywords:
by Kara Baskin
- 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...
View Details
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.)
- 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...
View Details
Keywords:
by Rachel Layne
- 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...
View Details
Keywords:
by Rocio Wu