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All HBS Web
(2,848)
- Faculty Publications (495)
- December 2018
- Case
Bata versus Relaxo—Analyzing Performance
By: Suraj Srinivasan, Iris Leung and Quinn Pitcher
Set in 2016, “Bata India versus Relaxo—Analyzing Performance” compares the strategies and financial performance of two Indian footwear companies. Bata India had long been the market leader in footwear in India, but its leading market position was being challenged by...
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Keywords:
Finance;
Strategy;
Operations;
Performance Evaluation;
Financial Statements;
Analysis;
Apparel and Accessories Industry
Srinivasan, Suraj, Iris Leung, and Quinn Pitcher. "Bata versus Relaxo—Analyzing Performance." Harvard Business School Case 119-050, December 2018.
- 2018
- Working Paper
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and...
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Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." NBER Working Paper Series, No. 25399, December 2018.
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must...
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Keywords:
Online Marketing;
Revenue Management;
Revenue;
Management;
Marketing;
Internet and the Web;
Price;
Mathematical Methods
Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
- October 2018
- Case
Shield AI
By: Mitchell Weiss and A.J. Steinlage
Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots...
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Keywords:
Public Entrepreneurship;
Artificial Intelligence;
AI;
Entrepreneurial Sales;
Government;
Defense;
Shield AI;
Brandon Tseng;
Ryan Tseng;
Andrew Reiter;
Robots;
Robotics;
UAV;
UAVs;
Government Sales;
Entrepreneurship;
Public Sector;
Sales;
Government Administration;
National Security;
Business and Government Relations;
AI and Machine Learning;
Technology Industry;
United States
Weiss, Mitchell, and A.J. Steinlage. "Shield AI." Harvard Business School Case 819-062, October 2018.
- October 2018
- Case
American Family Insurance and the Artificial Intelligence Opportunity
By: Rajiv Lal and Scott Johnson
Keywords:
Artificial Intelligence;
Machine Learning;
Automation;
Analytics;
American Family;
American Family Insurance;
Insurance;
Business Organization;
Transformation;
Talent and Talent Management;
Employee Relationship Management;
Innovation Strategy;
Job Cuts and Outsourcing;
Risk and Uncertainty;
Mobile and Wireless Technology;
Technology Adoption;
Internet and the Web;
Applications and Software;
Corporate Strategy;
AI and Machine Learning;
Digital Transformation;
Insurance Industry;
Technology Industry;
Wisconsin
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to...
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Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- September 2018 (Revised December 2019)
- Case
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making...
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Keywords:
Radiology;
Machine Learning;
X-ray;
CT Scan;
Medical Technology;
Probability;
FDA 510(k);
Diagnosis;
Business Startups;
Health Care and Treatment;
Information Technology;
Applications and Software;
Competitive Strategy;
Product Development;
Commercialization;
Decision Choices and Conditions;
Health Industry;
Medical Devices and Supplies Industry;
Technology Industry;
Israel
Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a...
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Keywords:
Machine Learning;
Theory Building;
Induction;
Decision Trees;
Random Forests;
K-nearest Neighbors;
Neural Network;
P-hacking;
Analytics and Data Science;
Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks...
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Keywords:
Discretion;
Scheduling;
Queue;
Healthcare;
Learning;
Experience;
Decentralization;
Operations;
Service Operations;
Service Delivery;
Performance;
Performance Effectiveness;
Performance Efficiency;
Performance Improvement;
Performance Productivity;
Decisions;
Time Management;
Cost vs Benefits;
Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- Article
The Business Case for Curiosity
By: Francesca Gino
Although leaders might say they value inquisitive minds, in reality most stifle curiosity, fearing it will increase risk and inefficiency. Harvard Business School’s Francesca Gino elaborates on the benefits of and common barriers to curiosity in the workplace and...
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Keywords:
Organizational Culture;
Employees;
Creativity;
Cognition and Thinking;
Learning;
Decision Making;
Performance Effectiveness
Gino, Francesca. "The Business Case for Curiosity." Harvard Business Review 96, no. 5 (September–October 2018): 48–57.
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those...
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns...
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Keywords:
Data Science;
Data Analytics;
Investing;
Loans;
Investment;
Financing and Loans;
Analytics and Data Science;
Analysis;
Forecasting and Prediction;
Business Model
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default...
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Keywords:
Data Analytics;
Data Science;
Investment;
Financing and Loans;
Analytics and Data Science;
Analysis;
Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- August 2018 (Revised July 2020)
- Case
Revenue Recognition at HBP
By: Paul Healy and Siko Sikochi
In early 2014, Paul Bills, CFO of Harvard Business Publishing (HBP), sat down with David Wan, the company’s CEO, to discuss budget preparations for the coming year. Bills noted that the performance of Corporate Learning, one of HBP’s three business units, would be...
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Keywords:
Accrual Accounting;
Budgets and Budgeting;
Revenue Recognition;
Financial Reporting;
Publishing Industry;
Education Industry;
United States
Healy, Paul, and Siko Sikochi. "Revenue Recognition at HBP." Harvard Business School Case 119-029, August 2018. (Revised July 2020.)
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee...
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Keywords:
Strategy Execution;
Performance Measurement;
Critical Performance Variables;
Strategic Boundaries;
Internet Of Things;
Artificial Intelligence;
Software Development;
Big Data;
Machine Learning;
Business Startups;
Management Style;
Business Strategy;
Performance;
Measurement and Metrics;
Organizational Culture;
AI and Machine Learning;
Digital Transformation;
Applications and Software;
Digital Marketing;
Analytics and Data Science;
Technology Industry;
United States;
California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
- August 2018 (Revised October 2020)
- Case
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills...
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Keywords:
Startup;
Services;
Artificial Intelligence;
Machine Learning;
Digital Marketing;
Brand Management;
Big Data;
Internet Marketing;
Analytics;
Marketing;
Marketing Strategy;
Brands and Branding;
Information Technology;
Entrepreneurship;
Venture Capital;
Business Model;
Consumer Behavior;
AI and Machine Learning;
Analytics and Data Science;
Advertising Industry;
Service Industry;
Technology Industry;
United States;
North America;
Israel
Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
- 2018
- Working Paper
Some Facts of High-Tech Patenting
By: Michael Webb, Nick Short, Nicholas Bloom and Josh Lerner
Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are acquired primarily by large U.S. technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon,...
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Webb, Michael, Nick Short, Nicholas Bloom, and Josh Lerner. "Some Facts of High-Tech Patenting." Harvard Business School Working Paper, No. 19-014, August 2018. (NBER Working Paper Series, No. 24793, July 2018.)
- 2018
- Working Paper
Channeled Attention and Stable Errors -- Previous Working Version
A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker...
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Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
- April 2018 (Revised February 2019)
- Supplement
Improving Worker Safety in the Era of Machine Learning (B)
By: Michael W. Toffel, Dan Levy, Astrid Camille Pineda, Jose Ramon Morales Arilla and Matthew S. Johnson
Supplements the (A) case.
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Toffel, Michael W., Dan Levy, Astrid Camille Pineda, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (B)." Harvard Business School Supplement 618-064, April 2018. (Revised February 2019.)
- March 2018
- Case
Summit Public Schools (A)
By: John J-H Kim and Aldo Sesia
Summit Public Schools was a very successful charter management organization with schools in California and Washington State. The students came from a variety of socioeconomic backgrounds, many from economically disadvantaged households. While nearly all of its students...
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Keywords:
K-12;
Online Learning;
Virtual Learning;
Blended Learning;
Secondary Education;
Middle School Education;
Early Childhood Education;
Learning;
Business Model;
Performance Improvement;
Technology
Kim, John J-H, and Aldo Sesia. "Summit Public Schools (A)." Harvard Business School Case 318-067, March 2018.