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All HBS Web
(2,887)
- Faculty Publications (519)
- June 2019
- Teaching Note
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
Teaching note is meant to accompany Zebra Medical Vision case, which offers a look at a company’s decisions as a small startup competing with other startups and major technology companies. It also demonstrates the challenges faced by a machine learning company working...
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- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD...
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Keywords:
Customer Journey;
Privacy;
Consumer Behavior;
Analytics and Data Science;
AI and Machine Learning;
Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- 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.
- April 2019 (Revised June 2019)
- Case
From Globalization to Dual Digital Transformation: CEO Thierry Breton Leading Atos Into 'Digital Shockwaves' (A)
By: Tsedal Neeley, JT Keller and James Barnett
Thierry Breton, chairman and CEO of IT company Atos, faced a pivotal juncture. After spending eight intense years scaling the company globally to over 100,000 employees in 70 countries, he was ready to take the next crucial step. Breton was convinced that rapid digital...
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Keywords:
Dual Digital Transformation;
Transformation;
Disruption;
Employees;
Competency and Skills;
Training;
Decision Making;
Digital Transformation
Neeley, Tsedal, JT Keller, and James Barnett. "From Globalization to Dual Digital Transformation: CEO Thierry Breton Leading Atos Into 'Digital Shockwaves' (A)." Harvard Business School Case 419-027, April 2019. (Revised June 2019.)
- April 2019 (Revised February 2020)
- Case
Ripple: The Business of Crypto
By: David B. Yoffie and George Gonzalez
The case explores Ripple CEO Brad Garlinghouse’s mission to disrupt the global payments industry by leveraging the cryptocurrency XRP. Students will learn about Bitcoin and the blockchain industry, as well as Ripple’s unique crypto business model. The case provides an...
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Keywords:
Payment Systems;
Cryptocurrency;
Bitcoin;
Blockchain;
Fintech;
Business Startups;
Business Model;
Disruption;
Strategy;
Banking Industry;
Technology Industry
Yoffie, David B., and George Gonzalez. "Ripple: The Business of Crypto." Harvard Business School Case 719-506, April 2019. (Revised February 2020.)
- April 2019 (Revised June 2019)
- Case
Western Governors University: 10x Vision
By: William R. Kerr and Susie L. Ma
Western Governors University (WGU) was a nonprofit institution of higher education whose online learning model served more than 100,000 students in 2019 and was scaling rapidly. President Scott Pulsipher wanted to expand WGU’s reach to millions more with a plan called...
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Keywords:
Online Education;
Enrollment;
Scaling;
Higher Education;
Internet and the Web;
Business Model;
Expansion;
Growth and Development Strategy;
Education Industry;
United States
Kerr, William R., and Susie L. Ma. "Western Governors University: 10x Vision." Harvard Business School Case 819-093, April 2019. (Revised June 2019.)
- 2019
- Book
Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
By: Karen G. 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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Keywords:
Fintech;
Big Data;
Data;
Technology;
Artificial Intelligence;
Great Recession;
Regulation;
Innovation;
Banks;
Lending;
Loans;
Access To Capital;
American Dream;
Community Banking;
Small Business Administration;
Entrepreneur;
Government;
Public Policy;
API;
Policy Making;
Small Business;
Financing and Loans;
Technological Innovation;
Financial Crisis;
Banks and Banking;
Governing Rules, Regulations, and Reforms;
Policy;
AI and Machine Learning;
Analytics and Data Science;
United States
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
- March 2019
- Teaching Note
Numenta: Inventing and (or) Commercializing AI
By: David B. Yoffie
This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing.
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- March 2019
- Case
Wattpad
By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers...
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Keywords:
Platform Businesses;
Creative Industries;
Publishing;
Data Science;
Machine Learning;
Collaborative Filtering;
Women And Leadership;
Managing Data Scientists;
Big Data;
Recommender Systems;
Digital Platforms;
Information Technology;
Intellectual Property;
Analytics and Data Science;
Publishing Industry;
Entertainment and Recreation Industry;
Canada;
United States;
Philippines;
Viet Nam;
Turkey;
Indonesia;
Brazil
Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
- 2023
- Working Paper
When Does Gamified Training Improve Performance? The Roles of Office and Leader Engagement
By: Ryan W. Buell, Wei Cai and Tatiana Sandino
Gamified training is a novel management control system in which companies use gamification
techniques to engage and motivate employees to learn. This study empirically examines the
performance consequences of gamified training using data from a natural field...
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Keywords:
Gamified Training;
Management Control Systems;
Employee Engagement;
Employees;
Learning;
Training;
Motivation and Incentives;
Performance
Buell, Ryan W., Wei Cai, and Tatiana Sandino. "When Does Gamified Training Improve Performance? The Roles of Office and Leader Engagement." Harvard Business School Working Paper, No. 19-101, March 2019. (Revised October 2023.)
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve...
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Keywords:
Crowdsourcing Contests;
Superstar Effect;
Bayesian Learning;
Utility;
Economics Of Information System;
Dynamic Structural Model;
Dynamic Programming;
Markov Chain;
Monte Carlo;
Learning;
Competition;
Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- 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;
Health Industry;
Technology Industry;
Insurance Industry;
Information Technology 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.
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can...
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Keywords:
Inventory Management;
Demand Forecasting;
Artificial Intelligence;
Machine Learning;
Forecasting and Prediction;
Operations;
Management;
Decision Making;
AI and Machine Learning;
Apparel and Accessories Industry;
Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Customer Value and Value Chain;
Consumer Behavior;
Analytics and Data Science;
Mathematical Methods;
Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning...
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Keywords:
Big Data;
Data Science And Analytics Management;
Governance And Compliance;
Organizational Systems And Technology;
Anomaly Detection;
Application Performance Management;
Machine Learning;
Enterprise Architecture;
Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended)....
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Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- January 2019 (Revised October 2019)
- Case
Liulishuo: AI English Teacher
By: John J-H Kim and Shu Lin
Educators and entrepreneurs alike are excited about the potential for artificial intelligence (AI) and machine learning to change the way learning will look like in the future. There is a confluence of factors such as the availability of large sources of rich,...
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Keywords:
AI;
Artificial Intelligence;
Education Technology;
Information Technology;
Education;
Entrepreneurship;
AI and Machine Learning;
Education Industry;
China
Kim, John J-H, and Shu Lin. "Liulishuo: AI English Teacher." Harvard Business School Case 319-090, January 2019. (Revised October 2019.)
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across...
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Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To...
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Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- Article
From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning
By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson
Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not...
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Keywords:
Emergent States;
Goal Orientation;
Open-mindedness;
Psychological Safety;
Team Learning;
Teams;
Groups and Teams;
Learning;
Goals and Objectives
Harvey, Jean-François, Kevin J. Johnson, Kathryn S. Roloff, and Amy C. Edmondson. "From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning." Human Relations 72, no. 11 (November 2019): 1726–1751.