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All HBS Web
(634)
- News (175)
- Research (318)
- Events (5)
- Multimedia (5)
- Faculty Publications (230)
- Web
Courses by Faculty Unit - Course Catalog
Elective Curriculum: Course Descriptions Last Updated: 27 Sep 2024 By Unit View by Unit | View by Course Title | View by Faculty | Print View...
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- 12 Apr 2021
- News
BMW’s Virtual Factory Uses AI to Hone the Assembly Line
- 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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- Web
Courses by Faculty - Course Catalog
Elective Curriculum: Course Descriptions Last Updated: 27 Sep 2024 By Faculty View by Unit | View by Course Title | View by Faculty | Print View...
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- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation...
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Keywords:
Artificial Intelligence;
AI Creativity;
Computer Science;
Organizational Behavior;
Psychology;
Creativity;
Technological Innovation;
AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
- Web
Courses by Faculty Unit - Course Catalog
Elective Curriculum: Course Descriptions Last Updated: 27 Sep 2024 By Unit View by Unit | View by Course Title | View by Faculty | Print View...
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- Web
IFC: Silicon Valley; Disrupting Silicon Valley with AI - Course Catalog
the Internet changed the landscape of the tech sector. Nearly every category incumbent across B2B and B2C was disrupted by Internet-first startups that dominate today’s “most valuable companies” list. Will history repeat itself as we...
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- 17 Sep 2021
- News
AI Can Help Address Inequity — If Companies Earn Users’ Trust
- June 2023
- Case
Verve Therapeutics: Taking DNA Editing to Heart
By: Shikhar Ghosh and Shweta Bagai
Verve Therapeutics, a public biotech company based in Boston, created a novel approach to addressing cardiovascular disease (CVD) - a leading cause of deaths globally. The company's approach was a single shot treatment to permanently lower cholesterol, thus reducing...
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Keywords:
AI;
Genetic Engineering;
Medicine;
Health Care and Treatment;
Genetics;
Innovation Strategy;
Business and Stakeholder Relations;
Medical Specialties;
Innovation and Invention;
Entrepreneurship;
Biotechnology Industry
Ghosh, Shikhar, and Shweta Bagai. "Verve Therapeutics: Taking DNA Editing to Heart." Harvard Business School Case 823-113, June 2023.
- September–October 2021
- Article
Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...
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Keywords:
Smart Pricing;
Pricing Algorithm;
Machine Bias;
Discrimination;
Racial Disparity;
Social Inequality;
Airbnb Revenue;
Revenue;
Race;
Equality and Inequality;
Prejudice and Bias;
Price;
Mathematical Methods;
Accommodations Industry
Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
- 26 Jun 2017
- News
How Cellophane Changed the Way We Shop for Food
- December 2023 (Revised August 2024)
- Supplement
Microsoft Azure and the Cloud Wars (B)
By: Andy Wu and Matt Higgins
By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had...
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Keywords:
Microsoft;
Artificial Intelligence;
AI;
Competition;
Information Infrastructure;
Market Participation
Wu, Andy, and Matt Higgins. "Microsoft Azure and the Cloud Wars (B)." Harvard Business School Supplement 724-434, December 2023. (Revised August 2024.)
- March 1, 2022
- Article
Widespread Use of National Academies Consensus Reports by the American Public
By: Diana Hicks, Matteo Zullo, Ameet Doshi and Omar Isaac Asensio
In seeking to understand how to protect the public information sphere from corruption, researchers understandably focus on dysfunction. However, parts of the public information ecosystem function very well, and understanding this as well will help in protecting and...
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Keywords:
Reports;
Surveys;
AI and Machine Learning;
Knowledge Dissemination;
Knowledge Use and Leverage
Hicks, Diana, Matteo Zullo, Ameet Doshi, and Omar Isaac Asensio. "Widespread Use of National Academies Consensus Reports by the American Public." e2107760119. Proceedings of the National Academy of Sciences 119, no. 9 (March 1, 2022).
- 02 Feb 2022
- News
AI Could Cut Hiring Biases as Companies Make Push to Find Workers, Proponents Say
while AI’s ability to replicate and exacerbate human biases has led to some high-profile missteps and attention from regulators, firms like Pymetrics have worked to design systems that not only don’t discriminate, but also surface candidates that have been overlooked...
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- 2022
- Book
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
By: Paul Leonardi and Tsedal Neeley
The pressure to "be digital" has never been greater, but you can meet the challenge.
The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive...
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Keywords:
Digital;
Artificial Intelligence;
Big Data;
Digital Transformation;
Technological Innovation;
Transformation;
Learning;
Competency and Skills
Leonardi, Paul, and Tsedal Neeley. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. Boston, MA: Harvard Business Review Press, 2022.
- July 2024
- Case
Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones
By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices...
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Keywords:
Fintech;
Transformations;
Innovation And Strategy;
Financial Advisors;
Big Data;
AI;
Artificial Intelligence;
Digital Strategy;
Digitization;
Financial Institutions;
Business Strategy;
Competitive Advantage;
Technology Adoption;
Business Plan;
Technological Innovation;
Interpersonal Communication;
Communication Intention and Meaning;
Communication Strategy;
Transformation;
Employee Stock Ownership Plan;
Disruptive Innovation;
Innovation Strategy;
Innovation and Management;
Innovation Leadership;
Knowledge Acquisition;
Knowledge Use and Leverage;
Financial Services Industry;
St. Louis;
Missouri;
United States
Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
- Summer 2013
- Book Review
Review of "Creating Consumers: Home Economists in Twentieth-Century America" by Carolyn M. Goldstein
By: Ai Hisano
Hisano, Ai. Review of "Creating Consumers: Home Economists in Twentieth-Century America" by Carolyn M. Goldstein. Business History Review 87, no. 2 (Summer 2013): 381–384.
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- Forthcoming
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)