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Show Results For
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All HBS Web
(995)
- People (1)
- News (205)
- Research (539)
- Events (8)
- Multimedia (7)
- Faculty Publications (428)
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
challenges that these digital businesses have to deal with to provide an effective, unbiased service that protects the rights of consumers. And we can learn a lot from this new generation of digital firms as...
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Keywords:
by Dina Gerdeman
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models...
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Keywords:
Retention/churn;
Proactive Churn Management;
Field Experiments;
Heterogeneous Treatment Effect;
Machine Learning;
Customer Relationship Management;
Risk Management
Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging...
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Keywords:
Influencer Advertising;
Video Advertising;
Computer Vision;
Machine Learning;
Advertising;
Online Technology
Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
- April 2022
- Article
AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care
By: Ariel Dora Stern, Avi Goldfarb, Timo Minssen and W. Nicholson Price II
Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those...
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Keywords:
Artificial Intelligence;
Medicine;
Health Care and Treatment;
Legal Liability;
Insurance;
Technology Adoption;
AI and Machine Learning
Stern, Ariel Dora, Avi Goldfarb, Timo Minssen, and W. Nicholson Price II. "AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care." NEJM Catalyst Innovations in Care Delivery 3, no. 4 (April 2022).
- August 2022 (Revised January 2023)
- Case
Icario Health: AI to Drive Health Engagement
By: David C. Edelman
Icario Health has built a market-leading artificial intelligence (AI) engine to help health insurers drive better health behaviors for their members, enabling the insurers to improve their Medicare performance.
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Keywords:
Marketing;
Health Care and Treatment;
AI and Machine Learning;
Health Industry;
United States
Edelman, David C. "Icario Health: AI to Drive Health Engagement." Harvard Business School Case 523-025, August 2022. (Revised January 2023.)
- 2023
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
Are the inputs used by your AI tool correct and up to date? In this paper, we show that the answer to this question: (i) is frequently a “no” in real business contexts, and (ii) has significant implications on the performance of AI tools. In the context of algorithmic...
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Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, October 2023.
- May 2020
- Case
Numenta in 2020: The Future of AI
By: David B. Yoffie, Cameron Armstrong, Mei Tao and Marta Zwierz
In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This case explores the challenges of building a business...
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Keywords:
Artificial Intelligence;
Monetization;
Information Technology;
Strategy;
Intellectual Property;
Business Model;
AI and Machine Learning;
Technology Industry
Yoffie, David B., Cameron Armstrong, Mei Tao, and Marta Zwierz. "Numenta in 2020: The Future of AI." Harvard Business School Case 720-463, May 2020.
- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to...
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Keywords:
Fintech Lending;
Alternative Data;
Machine Learning;
Algorithm Bias;
Finance;
Information Technology;
Financing and Loans;
Analytics and Data Science;
Credit
Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
- September 22, 2020
- Article
Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage
By: Jeffrey F. Rayport and Niall Murphy
Rayport, Jeffrey F., and Niall Murphy. "Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage." Forbes.com (September 22, 2020).
- Web
Harvard Business School Online Courses & Learning Platforms
Choose a subject area: Digital Transformation Marketing Business Essentials Leadership & Management Entrepreneurship & Innovation Strategy Finance & Accounting Business in Society Featured Courses AI Essentials for Business Professors...
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- Article
Algorithms Need Managers, Too
By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on...
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Keywords:
Machine Learning;
Algorithms;
Predictive Analytics;
Management;
Big Data;
Analytics and Data Science
Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
- 2020
- Article
Public Sentiment and the Price of Corporate Sustainability
By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong...
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Keywords:
Sustainability;
ESG;
ESG (Environmental, Social, Governance) Performance;
Investment Management;
Investment Strategy;
Big Data;
Machine Learning;
Environment;
Environmental Sustainability;
Corporate Governance;
Performance;
Asset Pricing;
Investment;
Management;
Strategy;
Human Capital;
Public Opinion;
Value;
Analytics and Data Science
Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
- July 2023
- Supplement
Honeycomb (B): Jumping on The Generative AI Bandwagon?
By: Jeffrey J. Bussgang and Kumba Sennaar
Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction?
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- February 6, 2024
- Article
Find the AI Approach That Fits the Problem You’re Trying to Solve
By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical...
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Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).
- Web
Generative AI for Business Leaders - Course Catalog
regulatory standards. The Business Impact of GenAI Learn how to define and measure the success of GenAI initiatives. How do we think about AI with View Details
- July 2019
- Teaching Note
Miroglio Fashion
By: Sunil Gupta
Teaching Note for HBS Nos. 519-053, 519-070, and 519-072.
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- September 2014
- Article
Advancing Consumer Neuroscience
By: Ale Smidts, Ming Hsu, Alan G. Sanfey, Maarten A. S. Boksem, Richard B. Ebstein, Scott A. Huettel, Joe W. Kable, Uma R. Karmarkar, Shinobu Kitayama, Brian Knutson, Israel Liberzon, Terry Lohrenz, Mirre Stallen and Carolyn Yoon
In the first decade of consumer neuroscience, strong progress has been made in understanding how neuroscience can inform consumer decision making. Here, we sketch the development of this discipline and compare it to that of the adjacent field of neuroeconomics. We...
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Keywords:
Consumer Neuroscience;
Neuroeconomics;
Social Neuroscience;
Genes;
Machine Learning;
Meta-analysis;
Consumer Behavior;
Decision Making;
Science
Smidts, Ale, Ming Hsu, Alan G. Sanfey, Maarten A. S. Boksem, Richard B. Ebstein, Scott A. Huettel, Joe W. Kable, Uma R. Karmarkar, Shinobu Kitayama, Brian Knutson, Israel Liberzon, Terry Lohrenz, Mirre Stallen, and Carolyn Yoon. "Advancing Consumer Neuroscience." Marketing Letters 25, no. 3 (September 2014): 257–267.
- March 2019
- Case
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli and David Lane
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in...
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Keywords:
Start-up Growth;
Startup;
Positioning;
Targeting;
Go To Market Strategy;
B2B2C;
B2B Vs. B2C;
Health & Wellness;
AI;
Machine Learning;
Female Ceo;
Female Protagonist;
Science-based;
Science And Technology Studies;
Ecommerce;
Applications;
DTC;
Direct To Consumer Marketing;
US Health Care;
"USA,";
Innovation;
Pricing;
Business Growth;
Segmentation;
Distribution Channels;
Growth and Development Strategy;
Business Startups;
Science-Based Business;
Health;
Innovation and Invention;
Marketing;
Information Technology;
Business Growth and Maturation;
E-commerce;
Applications and Software;
Food and Beverage Industry;
Food and Beverage Industry;
Food and Beverage Industry;
Food and Beverage Industry;
Food and Beverage Industry;
Israel;
United States
Israeli, Ayelet, and David Lane. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Case 519-010, March 2019.
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial...
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Keywords:
Crowdsourcing;
AI Algorithms;
Health Care and Treatment;
Collaborative Innovation and Invention;
AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
AI;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)