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- Faculty Publications (88)
- March 2021
- Case
VideaHealth: Building the AI Factory
By: Karim R. Lakhani and Amy Klopfenstein
Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details
Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge
Lakhani, Karim R., and Amy Klopfenstein. "VideaHealth: Building the AI Factory." Harvard Business School Case 621-021, March 2021.
- September 2020 (Revised February 2024)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- September 2020 (Revised July 2022)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
- September 2020
- Article
Customer Supercharging in Experience-Centric Channels
By: David R. Bell, Santiago Gallino and Antonio Moreno
We conjecture that for online retailers, experience-centric offline store formats do not simply expand market coverage, but rather, serve to significantly amplify future positive customer behaviors, both online and offline. We term this phenomenon “supercharging” and... View Details
Keywords: Retail Operations; Marketing-operations Interface; Omnichannel Retailing; Experience Attributes; Quasi-experimental Methods; Operations; Internet and the Web; Marketing Channels; Consumer Behavior; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Customer Supercharging in Experience-Centric Channels." Management Science 66, no. 9 (September 2020).
- Article
Forgoing Earned Incentives to Signal Pure Motives
By: Erika L. Kirgios, Edward H. Chang, Emma E. Levine, Katherine L. Milkman and Judd B. Kessler
Policy makers, employers, and insurers often provide financial incentives to encourage citizens, employees, and customers to take actions that are good for them or for society (e.g., energy conservation, healthy living, safe driving). Although financial incentives are... View Details
Keywords: Incentives; Motivation Laundering; Self-signaling; Motivation and Incentives; Behavior; Perception
Kirgios, Erika L., Edward H. Chang, Emma E. Levine, Katherine L. Milkman, and Judd B. Kessler. "Forgoing Earned Incentives to Signal Pure Motives." Proceedings of the National Academy of Sciences 117, no. 29 (July 21, 2020): 16891–16897.
- March–April 2020
- Article
Avoid the Pitfalls of A/B Testing
By: Iavor I. Bojinov, Guillaume Sait-Jacques and Martin Tingley
Online experiments measuring whether “A,” usually the current approach, is inferior to “B,” a proposed improvement, have become integral to the product-development cycle, especially at digital enterprises. But often firms make serious mistakes in conducting these... View Details
Keywords: A/B Testing; Experiment Design; Social Networks; Product Development; Performance Improvement; Measurement and Metrics; Social Media
Bojinov, Iavor I., Guillaume Sait-Jacques, and Martin Tingley. "Avoid the Pitfalls of A/B Testing." Harvard Business Review 98, no. 2 (March–April 2020): 48–53.
- March–April 2020
- Article
Building A Culture of Experimentation
By: Stefan Thomke
Why don’t organizations test more? After examining this question for several years, I can tell you that the central reason is culture. As companies try to scale up their experimentation capacity, they often find that the obstacles are not tools and technology but... View Details
Keywords: Experimentation; Culture; Innovation; Online; Customer Experience; Organizational Culture; Innovation and Invention; Internet and the Web; Attitudes; Decision Making; Change; Leadership
Thomke, Stefan. "Building A Culture of Experimentation." Harvard Business Review 98, no. 2 (March–April 2020): 40–48.
- 2020
- Book
Experimentation Works: The Surprising Power of Business Experiments
By: Stefan Thomke
Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research
Thomke, Stefan. Experimentation Works: The Surprising Power of Business Experiments. Boston, MA: Harvard Business Review Press, 2020.
- February 2020
- Article
Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs
By: Rachel Gershon, Cynthia Cryder and Leslie K. John
While selfish incentives typically outperform prosocial incentives, in the context of customer referral rewards, prosocial incentives can be more effective. Companies frequently offer “selfish” (i.e., sender-benefiting) referral incentives, offering customers financial... View Details
Keywords: Incentives; Prosocial Behavior; Judgment And Decision-making; Referral Rewards; Motivation and Incentives; Consumer Behavior; Decision Making
Gershon, Rachel, Cynthia Cryder, and Leslie K. John. "Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs." Journal of Marketing Research (JMR) 57, no. 1 (February 2020): 156–172.
- 2019
- Article
Overcoming Cultural Resistance to Open Source Innovation
By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33.
- July 2019
- Case
Autonomous Vehicles: Smooth or Bumpy Ride Ahead?
By: Elie Ofek and Akhil Waghmare
In early 2019, transportation was set to undergo a major transformation with the advent of autonomous vehicles (AVs), also referred to as driverless cars, which were nearing completion from an R&D and testing phase. Yet many questions remained open regarding exactly... View Details
Keywords: Transportation; Technological Innovation; Disruptive Innovation; Transformation; Technology Adoption; Business Model; Governing Rules, Regulations, and Reforms; Transportation Industry; Auto Industry
Ofek, Elie, and Akhil Waghmare. "Autonomous Vehicles: Smooth or Bumpy Ride Ahead?" Harvard Business School Case 520-008, July 2019.
- January 2019 (Revised February 2024)
- Teaching Note
Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing
By: Ayelet Israeli
Teaching Note for HBS No. 519-011. As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a... View Details
Keywords: DTC; Direct To Consumer Marketing; Health Care; Mobile; Attribution; Experimentation; Experiments; Churn/retention; Customer Lifetime Value; Internet Marketing; Big Data; Analytics; A/B Testing; CRM; Advertising; Marketing; Marketing Channels; Marketing Strategy; Media; Brands and Branding; Marketing Communications; Digital Marketing; Acquisition; Growth and Development Strategy; Customer Focus and Relationships; Consumer Behavior; Social Media; E-commerce
- October 2018
- Case
Booking.com
By: Stefan Thomke and Daniela Beyersdorfer
The case reveals how Booking.com has become the world's leading travel accommodation platform. The company has put online experimentation at the heart of how it designs digital experiences for its customers and partners. To unlock the potential of large-scale testing,... View Details
Keywords: Travel; Product Innovation; Experimentation; A/B Testing; User Experience Design; Product Development; Product Design; Innovation and Management; Transformation; Information Technology; Digital Transformation; Travel Industry
Thomke, Stefan, and Daniela Beyersdorfer. "Booking.com." Harvard Business School Case 619-015, October 2018.
- September 2018 (Revised May 2021)
- Teaching Plan
Eastern Bank: Innovating Through Eastern Labs
By: Karen Mills, Dennis Campbell and Aaron Mukerjee
Eastern Bank is a 200-year-old New England mutual bank with a community focus. Eastern specializes in small business lending, having made strategic investments to become the top SBA lender in New England in the midst of the Great Recession, when other banks were... View Details
Keywords: Banks; Fintech; Innovation; Innovation & Entrepreneurship; Innovation And Strategy; Technological Change; Technology And Innovation Management; Entrepreneurial Management; Intrapreneurship; Banks and Banking; Innovation and Invention; Entrepreneurship; Innovation Strategy; Technological Innovation; Information Technology; Management
- 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... View Details
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 February 2023)
- Case
Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing
By: Jill Avery and Ayelet Israeli
As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a valuation of $200 million and debating... View Details
Keywords: DTC; Direct To Consumer Marketing; Health Care; Mobile; Attribution; Experimentation; Experiments; Churn/retention; Customer Lifetime Value; Internet Marketing; Big Data; Analytics; A/B Testing; CRM; Advertising; Marketing; Marketing Channels; Marketing Strategy; Media; Brands and Branding; Marketing Communications; Digital Marketing; Consumer Behavior; Acquisition; Growth and Development Strategy; Customer Focus and Relationships; Social Media; E-commerce; Analytics and Data Science; Health Industry; Consumer Products Industry; United States; North America; Europe
Avery, Jill, and Ayelet Israeli. "Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing." Harvard Business School Case 519-011, August 2018. (Revised February 2023.)