Filter Results:
(1,862)
Show Results For
- All HBS Web
(120,159)
- Faculty Publications (1,862)
Show Results For
- All HBS Web
(120,159)
- Faculty Publications (1,862)
- July 2023
- Teaching Note
Best Buy: Renew Blue
By: Sunil Gupta, Amram Migdal and Dave Habeeb
Teaching Note for HBS Case No. 523-711. View Details
- 2023
- Working Paper
Algorithm Failures and Consumers' Response: Evidence from Zillow
By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details
Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry
Troncoso, Isamar, Runshan Fu, Nikhil Malik, and Davide Proserpio. "Algorithm Failures and Consumers' Response: Evidence from Zillow." Working Paper, July 2023.
- July 2023
- Article
Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts
By: Raghabendra P. KC, Vincent Mak and Elie Ofek
We study how payment decision timing—before versus after product delivery—influences consumer payment under pay-what-you-want pricing. We focus on situations where there is minimal change in consumer uncertainty regarding the product before versus after receiving it.... View Details
KC, Raghabendra P., Vincent Mak, and Elie Ofek. "Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts." Journal of Marketing 87, no. 4 (July 2023): 618–635.
- Jul 2023
- Keynote Speech
Keynote Speech
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; 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
- June 2023
- Teaching Note
Navya: Steering Toward a Driverless Future
By: Julian De Freitas and Elie Ofek
Teaching Note for HBS Case No. 523-046. View Details
- June 2023
- Technical Note
Enhancing Your Contribution to Group Learning in Marketing
By: Jill Avery
How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,... View Details
Keywords: Marketing
- June 2023 (Revised June 2025)
- Course Overview Note
Introduction to the RC Marketing Course: Fall 2025
By: Jill Avery and Sunil Gupta
Course Overview Note for RC Marketing Fall 2025 View Details
- June 2023 (Revised August 2023)
- Background Note
Subscription Models: Recurring Revenues for Lasting Growth
By: Elie Ofek and Amy Konary
This note offers a comprehensive exposition to subscription revenue models and aims to explain their recent rise. It covers the advantages to firms of employing a subscription-based approach to monetization (as opposed to “one-off” upfront payment), as well as the... View Details
Ofek, Elie, and Amy Konary. "Subscription Models: Recurring Revenues for Lasting Growth." Harvard Business School Background Note 523-113, June 2023. (Revised August 2023.)
- June 2023 (Revised September 2023)
- Simulation
Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)
By: Sunil Gupta, Rajiv Lal and Celine Chammas
Adobe started monitoring Annual Recurring Revenue (ARR), one of its primary metrics, when it shifted from selling its software in a box to selling the software as a subscription-based cloud service. They wanted to know when, where, and how much to invest in marketing.... View Details
- June 19, 2023
- Article
Should You Start a Generative AI Company?
Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details
De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
- June 2023 (Revised January 2024)
- Case
Communities In Schools (Atlanta): Innovating a College Program
By: V. Kasturi Rangan, Lynda M. Applegate and Alexis Lefort
Frank Brown, CIS of Atlanta's new Black CEO, was keen to extend CIS's well-honed case management in schools program to youth in college. Founded 50 years ago by Bill Milliken, CIS, a network of 110 affiliates, had built a strong program of assisting and supporting... View Details
Rangan, V. Kasturi, Lynda M. Applegate, and Alexis Lefort. "Communities In Schools (Atlanta): Innovating a College Program." Harvard Business School Case 823-070, June 2023. (Revised January 2024.)
- June 2023
- Supplement
Transformative Social Impact: Year Up
By: V. Kasturi Rangan and Sarah Appleby
Rangan, V. Kasturi, and Sarah Appleby. "Transformative Social Impact: Year Up." Harvard Business School Multimedia/Video Supplement 520-705, June 2023.
- May–June 2023
- Article
Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut
By: Fabrizio Fantini and Das Narayandas
Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details
Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
- June 2023 (Revised December 2023)
- Simulation
Hometown Foods Pricing Calculator
By: Julian De Freitas and Jeremy Yang
HBS website digital supplement to case 522-087. View Details
- May 2023
- Technical Note
Dynamic Pricing: Timing is Everything
By: Elie Ofek
This note provides a comprehensive exposition to the topic of dynamic pricing (whereby the fee customers are charged is time-dependent). It covers the motivation for firms to engage in dynamic pricing, provides a typology of the main formats dynamic pricing can take,... View Details
Ofek, Elie. "Dynamic Pricing: Timing is Everything." Harvard Business School Technical Note 523-110, May 2023.
- May 2023
- Teaching Note
OneTen: One Million Careers for Black Talent
By: Boris Groysberg, V. Kasturi Rangan, Annelena Lobb and Kerry Herman
Teaching Note for HBS Case No. 422-018. View Details
- 2023
- Conference Presentation
[Invited Presentation]
- May 2023
- Case
Twitter Blues: Does Paid Verification Check Out?
By: Scott Duke Kominers, Das Narayandas and Kerry Herman
Elon Musk proposes to offer verification status on Twitter to paying subscribers. Chaos ensues. View Details
Kominers, Scott Duke, Das Narayandas, and Kerry Herman. "Twitter Blues: Does Paid Verification Check Out?" Harvard Business School Case 523-106, May 2023.