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All HBS Web
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- Faculty Publications (504)
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media...
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Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- 2020
- Working Paper
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years....
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Keywords:
Government Administration;
Working Conditions;
Safety;
Quality;
Production;
Analysis;
Resource Allocation;
Manufacturing Industry;
United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." Harvard Business School Working Paper, No. 20-019, August 2019. (Revised February 2020.)
- July 2019
- Case
Christmas Inc. (A)
By: Susanna Gallani, Gregory Sabin, Lexor Adams and Nicholas Haberling
Santa Claus is facing increasing pressures to contain costs. The economic model that has worked for centuries is starting to show some cracks, to the point that he is considering outsourcing part of its toy production. Evaluating the bids his team collected from...
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Gallani, Susanna, Gregory Sabin, Lexor Adams, and Nicholas Haberling. "Christmas Inc. (A)." Harvard Business School Case 120-009, July 2019.
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms...
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Keywords:
Artificial Intelligence;
Machine Learning;
Robotics;
Robots;
Ecommerce;
Fulfillment;
Warehousing;
AI;
Startup;
Technology Commercialization;
Business Startups;
Entrepreneurship;
Logistics;
Order Taking and Fulfillment;
Information Technology;
Commercialization;
Learning;
Complexity;
Competition;
E-commerce
Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
- 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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- 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.