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- June 2024
- Case
Driving Scale With Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales...
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Keywords:
Artificial Intelligence;
Machine Learning;
Natural Language Processing;
B2B;
B2B Innovation;
Startups;
Scaling;
Scaling Tech Ventures;
Business Ventures;
Information Technology;
Finance;
Sales;
Strategy;
Information Technology Industry;
United States;
Cambridge;
New York (city, NY);
Spain
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale With Otto." Harvard Business School Case 724-407, June 2024.
- 2024
- Working Paper
Health, Human Capital Development and the Longevity of Japanese Elites Since 710
By: Tom Nicholas and Hiroshi Shimizu
We examine the lifespan of over 40,000 elites in Japan born between 710 and 1912, including samurai warriors, feudal lords, business, political, cultural, and religious leaders at the apex of the social hierarchy. Japanese elites experienced increases in lifespan about...
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Nicholas, Tom, and Hiroshi Shimizu. "Health, Human Capital Development and the Longevity of Japanese Elites Since 710." Working Paper, June 2024.
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183...
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Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- Summer 2024
- Article
The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms
By: Hanna Halaburda, Jeffrey Prince, D. Daniel Sokol and Feng Zhu
In this essay, we identify several themes of the digital business transformation, with a particular focus on the economy-wide impacts of artificial intelligence and digital platforms. In doing so, we highlight specific industries, beyond just the high-profile “Big...
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Halaburda, Hanna, Jeffrey Prince, D. Daniel Sokol, and Feng Zhu. "The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms." Journal of Economics & Management Strategy 33, no. 2 (Summer 2024): 269–275.
- 2024
- Working Paper
The Value of AI Innovations
By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,...
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Keywords:
AI and Machine Learning;
Valuation;
Technological Innovation;
Open Source Distribution;
Patents;
Policy;
Knowledge Sharing;
Technology Industry
Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
- May 2024
- Case
Pernod Ricard: Uncorking Digital Transformation
By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney
This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial...
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Keywords:
Business Organization;
Business Divisions;
Talent and Talent Management;
Global Strategy;
AI and Machine Learning;
Analytics and Data Science;
Digital Transformation;
Digital Strategy;
Marketing;
Advertising;
Sales;
Organizational Culture;
Product Development;
Food and Beverage Industry;
France;
Europe
Bojinov, Iavor, Edward McFowland III, François Candelon, Nikolina Jonsson, and Emer Moloney. "Pernod Ricard: Uncorking Digital Transformation." Harvard Business School Case 624-095, May 2024.
- May 2024
- Supplement
HubSpot and Motion AI (B): Generative AI Opportunities
By: Jill Avery
The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI...
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Keywords:
Artificial Intelligence;
AI;
Customer Relationship Management;
CRM;
Chatbots;
Sales Management;
Generative Ai;
Software;
SaaS;
Marketing;
Sales;
AI and Machine Learning;
Technology Industry;
United States
Avery, Jill. "HubSpot and Motion AI (B): Generative AI Opportunities." Harvard Business School Supplement 524-088, May 2024.
- May 2024
- Teaching Note
AI Wars
By: Andy Wu and Matt Higgins
Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over...
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Keywords:
AI
- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated...
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Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.
- 2024
- Working Paper
What Is Newsworthy? Theory and Evidence
By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The...
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Armona, Luis, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro. "What Is Newsworthy? Theory and Evidence." NBER Working Paper Series, No. 32512, May 2024.
- April 2024 (Revised May 2024)
- Case
Anthropic: Building Safe AI
By: Shikhar Ghosh and Shweta Bagai
In March 2024, Anthropic, a leading AI safety and research company, made headlines with the launch of Claude 3, its most advanced AI model. This marked Anthropic’s bold entry into the multimodal GenAI domain, showcasing capabilities extending to both image and text...
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Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised May 2024.)
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
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,...
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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.
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),...
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Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- April 2024
- Article
Decision Authority and the Returns to Algorithms
By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these...
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Keywords:
Algorithmic Aversion;
Algorithmic Decision Making;
Algorithms;
Public Entrepreneurship;
Govenment;
Local Government;
Crowdsourcing;
Crowdsourcing Contests;
Inspection;
Principal-agent Theory;
Government Administration;
Decision Making;
Public Administration Industry;
United States
Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal...
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Keywords:
Ride-sharing;
Routine;
Machine Learning;
Customer Relationship Management;
Consumer Behavior;
Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- March 2024
- Case
From 'BIG' Ideas to Sustainable Impact at ICL Group (A)
By: Linda A. Hill and Lydia Begag
In the summer of 2023, Eduard (“Eddie”) Croitoru, Vice President (VP) of ICL Group (“ICL”) Corporate Initiatives, was reflecting on ICL’s internal ideation program, the Business Innovation for Growth (BIG) Accelerator. When Raviv Zoller became the CEO of ICL in 2018,...
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Keywords:
Change Management;
Agribusiness;
Accounting;
Communication;
Engineering;
Energy;
Renewable Energy;
Chemicals;
Machinery and Machining;
Metals and Minerals;
Mining;
Social Entrepreneurship;
Corporate Entrepreneurship;
Values and Beliefs;
Environmental Sustainability;
Natural Resources;
Globalization;
Information Technology;
Innovation and Invention;
Leadership;
Organizational Culture;
Personal Development and Career;
Manufacturing Industry;
Agriculture and Agribusiness Industry;
Chemical Industry;
Israel;
China;
United States
Hill, Linda A., and Lydia Begag. "From 'BIG' Ideas to Sustainable Impact at ICL Group (A)." Harvard Business School Case 424-042, March 2024.
- March 2024 (Revised April 2024)
- Supplement
From 'BIG' Ideas to Sustainable Impact at ICL Group (B)
By: Linda A. Hill and Lydia Begag
In August 2023, Raviv Zoller, CEO of ICL Group, discussed his upcoming business trip to St. Louis with Eduard Croitoru, VP of ICL Corporate Initiatives, to commemorate the construction of ICL's new $400 million advanced manufacturing facility. In preparation for the...
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Keywords:
Change Management;
Agribusiness;
Accounting;
Communication;
Engineering;
Energy;
Renewable Energy;
Chemicals;
Machinery and Machining;
Metals and Minerals;
Mining;
Social Entrepreneurship;
Corporate Entrepreneurship;
Values and Beliefs;
Environmental Sustainability;
Natural Resources;
Globalization;
Information Technology;
Innovation and Invention;
Leadership;
Organizational Culture;
Personal Development and Career;
Manufacturing Industry;
Agriculture and Agribusiness Industry;
Chemical Industry;
Israel;
United States;
China
Hill, Linda A., and Lydia Begag. "From 'BIG' Ideas to Sustainable Impact at ICL Group (B)." Harvard Business School Supplement 424-043, March 2024. (Revised April 2024.)
- March 2024
- Simulation
'Storrowed'
By: Mitchell Weiss
The game was built to accompany "Storrowed": A Generative AI Exercise, available through Harvard Business Publishing. The game adds a timing element to "Storrowed" and enables the teacher to reward teams for strong prompts or penalize teams for believing AI...
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- March 2024
- Teaching Note
'Storrowed': A Generative AI Exercise
By: Mitchell Weiss
Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive....
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- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software...
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