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All HBS Web
(2,854)
- Faculty Publications (500)
- 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.
- March 2018
- Case
IBM: Watson and the Internet of Things
By: Rajiv Lal and Scott Johnson
IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market.
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- February 2018
- Case
Vodafone: Managing Advanced Technologies and Artificial Intelligence
By: William R. Kerr and Emer Moloney
Vodafone was operating in the fast-moving telecommunications market where innovation and scale were key. Faced with an onslaught of technological advances—big data, automation, and artificial intelligence—CEO Vittorio Colao reflected on how he should change the...
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Keywords:
Technological Innovation;
Management;
Organizational Change and Adaptation;
Corporate Social Responsibility and Impact;
Opportunities;
Telecommunications Industry
Kerr, William R., and Emer Moloney. "Vodafone: Managing Advanced Technologies and Artificial Intelligence." Harvard Business School Case 318-109, February 2018.
- February 2018
- Case
Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home
By: Rajiv Lal and Scott Johnson
Amazon, Google, and Apple all offer their own smart speaker. The devices represent each firm's entry point into the connected home market. All three companies come into the space with their own strengths and weaknesses. Who will win?
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Keywords:
Apple;
Apple Inc.;
Google;
Amazon;
Amazon.com;
Google Home;
Homepod;
Echo;
Smart Home;
Connected Home;
Voice;
Artificial Intelligence;
Machine Learning;
Internet Of Things;
Smart Speaker;
Connected Speaker;
Intelligent Assistants;
Virtual Assistants;
Voice Assistants;
Alexa;
Google Assistant;
Siri;
Technological Innovation;
Disruptive Innovation;
Competitive Strategy;
Business Strategy;
Adoption;
Information Infrastructure;
Information Technology;
Internet and the Web;
Mobile and Wireless Technology;
Applications and Software;
Technology Adoption;
Digital Platforms;
Household;
AI and Machine Learning;
Electronics Industry;
Technology Industry;
United States
Lal, Rajiv, and Scott Johnson. "Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home." Harvard Business School Case 518-035, February 2018.
- February 2018 (Revised March 2018)
- Case
Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)
By: Lauren Cohen, Christopher Malloy and William Powley
This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services...
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Keywords:
Technological Innovation;
Finance;
Growth and Development Strategy;
Business Model;
Applications and Software;
Infrastructure;
Technology Industry;
Financial Services Industry
Cohen, Lauren, Christopher Malloy, and William Powley. "Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)." Harvard Business School Case 218-080, February 2018. (Revised March 2018.)
- February 2018 (Revised October 2019)
- Case
HubSpot and Motion AI: Chatbot-Enabled CRM
By: Jill Avery and Thomas Steenburgh
HubSpot, an inbound marketing, sales, and customer relationship management (CRM) software provider, announced that it had acquired Motion AI, a software platform that enabled companies to easily build and deploy chatbots, fueled by artificial intelligence, to interact...
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Keywords:
CRM;
Sales Management;
Customer Service;
Artificial Intelligence;
B2B Vs. B2C;
Business Marketing;
SaaS;
Marketing;
Marketing Strategy;
Brands and Branding;
Customer Focus and Relationships;
Sales;
Salesforce Management;
Technological Innovation;
Applications and Software;
Customer Relationship Management;
AI and Machine Learning;
Technology Industry;
Service Industry;
United States;
North America
Avery, Jill, and Thomas Steenburgh. "HubSpot and Motion AI: Chatbot-Enabled CRM." Harvard Business School Case 518-067, February 2018. (Revised October 2019.)
- February 2018 (Revised June 2021)
- Case
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Kyle Thomas
This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,...
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Keywords:
Fundamental Analysis;
Machine Learning;
Robo-analysts;
Financial Statements;
Financial Reporting;
Analysis;
Information Technology;
Accounting Industry;
Financial Services Industry;
Information Technology Industry;
North America;
Tennessee
Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
- 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.
- January 2018 (Revised February 2023)
- Teaching Note
The Future of Patent Examination at the USPTO
This teaching note pairs with the case entitled: “The Future of Patent Examination at the USPTO” (case no. 617-027).
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- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural...
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will...
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Keywords:
Technology Management;
Artificial Intelligence;
General Management;
Robotics;
Technological Innovation;
Transportation;
Disruption;
Information Technology;
Decision Making;
AI and Machine Learning;
Auto Industry;
Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
- January 2018
- Case
Kids & Company: Entering the U.S.
By: Boris Groysberg, Matthew G. Preble and Katherine Connolly Baden
In April 2017, Victoria Sopik and Jennifer Nashmi, CEO and CFO (respectively) of Kids & Company, a Canadian childcare provider that they had co-founded in the early 2000s and developed into a nearly 100-unit enterprise, are discussing how the company should proceed...
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Keywords:
Child Care;
Childcare;
Day Care;
Daycare;
Early Childhood Education;
Strategy;
Growth and Development Strategy;
Growth Management;
Business Strategy;
Competitive Strategy;
Competitive Advantage;
Expansion;
Leadership;
Marketing;
Product Marketing;
Brands and Branding;
Service Delivery;
Service Operations;
Product Design;
Product Development;
Cross-Cultural and Cross-Border Issues;
Selection and Staffing;
Customer Focus and Relationships;
Entrepreneurship;
Service Industry;
Education Industry;
United States;
Canada
Groysberg, Boris, Matthew G. Preble, and Katherine Connolly Baden. "Kids & Company: Entering the U.S." Harvard Business School Case 418-011, January 2018.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups....
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Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- January–February 2018
- Article
The Leader's Guide to Corporate Culture: How to Manage the Eight Critical Elements of Organizational Life
By: Boris Groysberg, Jeremiah Lee, Jesse Price and J. Yo-Jud Cheng
Executives are often confounded by culture, because much of it is anchored in unspoken behaviors, mindsets, and social patterns. But when properly managed, culture can help them achieve change and build organizations that will thrive in even the most trying times. In...
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Keywords:
Organizational Culture;
Performance Effectiveness;
Strategy;
Organizational Change and Adaptation
Groysberg, Boris, Jeremiah Lee, Jesse Price, and J. Yo-Jud Cheng. "The Leader's Guide to Corporate Culture: How to Manage the Eight Critical Elements of Organizational Life." Harvard Business Review 96, no. 1 (January–February 2018): 44–52.
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I...
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Keywords:
Machine Learning;
Policy Implementation;
Empirical Research;
Inspection;
Occupational Safety;
Occupational Health;
Regulation;
Analysis;
Forecasting and Prediction;
Policy;
Operations;
Supply Chain Management;
Safety;
Manufacturing Industry;
Construction Industry;
United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 2017
- Book
Entering StartUpLand: An Essential Guide to Finding the Right Job
Many professionals aspire to work for startups. Executives from large companies view them as models to help them adapt to today's dynamic innovation economy, while freshly minted MBAs see magic in founding something new. Yes, startups look magical, but they can also be...
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Bussgang, Jeffrey J. Entering StartUpLand: An Essential Guide to Finding the Right Job. Boston: Harvard Business Review Press, 2017.