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- All HBS Web
(2,079)
- People (3)
- News (342)
- Research (1,496)
- Events (23)
- Multimedia (1)
- Faculty Publications (740)
- 23 Mar 2015
- Research & Ideas
It’s Called ‘Price Coherence,’ and It’s Surprisingly Bad for Consumers
Consumers often have the following choice: Either buy something directly from a retailer, or buy it indirectly through an intermediary, which partners with the retailer to attract more buyers. Think purchasing a plane ticket straight from... View Details
- January 2017
- Supplement
Hello Alfred: Come Home Happy — Operating the Business Model Exercise
By: Joseph B. Fuller and Christopher Payton
On a mission to "automate the on-demand economy," Harvard Business School classmates Marcela Sapone and Jessica Beck launched Hello Alfred in 2013 to provide subscribers with an "Alfred" to complete various chores for a monthly fee. In early 2016, the company has built... View Details
- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
environments.” If central banks had used economic models that account for variations in the speed of firm’s pricing decisions rather than their traditional forecasting tools, policymakers might have detected rising inflation sooner,... View Details
- 2010
- Working Paper
A Behavioral Model of Demandable Deposits and Its Implications for Financial Regulation
By: Julio J. Rotemberg
A model is developed that rationalizes contracts that give depositors the right to obtain funds on demand even when depositors intend to use these funds for consumption in the future. This is explained by depositor overoptimism regarding their own ability to collect... View Details
Keywords: Banks and Banking; Insurance; Governing Rules, Regulations, and Reforms; Policy; Consumer Behavior; Financial Services Industry
Rotemberg, Julio J. "A Behavioral Model of Demandable Deposits and Its Implications for Financial Regulation." NBER Working Paper Series, No. 16620, December 2010.
- Article
Why, When, and How Much to Entertain Consumers in Advertisements?: A Web-based Facial Tracking Field Study
By: Thales Teixeira, Rosalind Picard and Rana el Kaliouby
The presence of positive entertainment (e.g., visual imagery, upbeat music, humor) in TV advertisements can make them more attractive and persuasive. However, little is known about the downsides of using too much entertainment. This research focuses on why, when, and... View Details
Keywords: Face-tracking; Entertainment; Television; Purchase Intent; Commercials; Facial Expressions; Marketing Communication; Advertising; Television Entertainment; Marketing; Advertising Industry
Teixeira, Thales, Rosalind Picard, and Rana el Kaliouby. "Why, When, and How Much to Entertain Consumers in Advertisements? A Web-based Facial Tracking Field Study." Marketing Science 33, no. 6 (November–December 2014): 809–827.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- January 2019 (Revised November 2020)
- Case
Ribbon Home: iBacking for Real Estate
By: Marco Di Maggio and Sarah Gulick
In November 2018, Shaival Shah, the founder and CEO of Ribbon Home had to decide on the next steps for the company. Ribbon had introduced a program that backs consumers with cash offers without creating a loan structure in order to help them compete with iBuyers, such... View Details
Keywords: Consumers; Real Estate; Property; Finance; Digital Platforms; Business Model; Decision Making; Real Estate Industry; Technology Industry
Di Maggio, Marco, and Sarah Gulick. "Ribbon Home: iBacking for Real Estate." Harvard Business School Case 219-059, January 2019. (Revised November 2020.)
- May–June 2021
- Article
Capturing Value in Platform Business Models that Rely on User-Generated Content
By: Hemang Subramanian, Sabyasachi Mitra and Sam Ransbotham
Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable... View Details
Keywords: Business Model; Network Effects; Mergers and Acquisitions; Valuation; Risk and Uncertainty
Subramanian, Hemang, Sabyasachi Mitra, and Sam Ransbotham. "Capturing Value in Platform Business Models that Rely on User-Generated Content." Organization Science 32, no. 3 (May–June 2021): 804–823.
- 04 Dec 2007
- Working Paper Summaries
Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations
- 2007
- Working Paper
Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations
By: Feng Zhu and Marco Iansiti
This paper seeks to answer three questions. First, which drives the success of a platform, installed base, platform quality or consumer expectations? Second, when does a monopoly emerge in a platform-based market? Finally, when is a platform-based market socially... View Details
Keywords: Price; Network Effects; Digital Platforms; Monopoly; Quality; Competitive Advantage; Digital Platforms
Zhu, Feng, and Marco Iansiti. "Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations." Harvard Business School Working Paper, No. 08-031, November 2007.
- April 2023
- Article
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Art. 104707. Research Policy 52, no. 3 (April 2023).
- 2022
- Working Paper
Buy Now, Pay Later Credit: User Characteristics and Effects on Spending Patterns
By: Marco Di Maggio, Justin Katz and Emily Williams
Firms offering "buy now, pay later" (BNPL) point-of-sale installment loans with minimal underwriting and low interest have captured a growing fraction of the market for short-term unsecured consumer credit. We provide a detailed look into the US BNPL market by... View Details
- July–August 2018
- Article
Using Time-Driven Activity-Based Costing to Model the Costs of Various Process-Improvement Strategies in Acute Pain Management
By: Keyuri Popat, Kelly Ann Gracia, Alexis B. Guzman and Thomas W. Feeley
Pain control for patients undergoing thoracic surgery is essential for their comfort and for improving their ability to function after surgery, but it can significantly increase costs. Here, we demonstrate how time-driven activity-based costing (TDABC) can be used to... View Details
Keywords: Time-Driven Activity-Based Costing; Health Care and Treatment; Cost Management; Performance Improvement
Popat, Keyuri, Kelly Ann Gracia, Alexis B. Guzman, and Thomas W. Feeley. "Using Time-Driven Activity-Based Costing to Model the Costs of Various Process-Improvement Strategies in Acute Pain Management." Journal of Healthcare Management 63, no. 4 (July–August 2018): e76–e85.
- July 2015
- Article
A Behavioral Model of the Popularity and Regulation of Demandable Liabilities
By: Julio J. Rotemberg
Overoptimism regarding one's ability to arrive early in a queue is shown to rationalize deposit contracts in which people can withdraw their funds on demand even if consumption takes place later. Capitalized institutions serving overoptimistic depositors emerge in... View Details
Rotemberg, Julio J. "A Behavioral Model of the Popularity and Regulation of Demandable Liabilities." American Economic Journal: Macroeconomics 7, no. 3 (July 2015): 123–152.
- 2023
- Working Paper
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Harvard Business School Working Paper, No. 23-037, January 2023.
- May 2021
- Supplement
Hello Alfred: Come Home Happy — Operating the Business Model Exercise, Instructor Version
By: Joseph B. Fuller and Christopher Payton
On a mission to "automate the on-demand economy," Harvard Business School classmates Marcela Sapone and Jessica Beck launched Hello Alfred in 2013 to provide subscribers with an "Alfred" to complete various chores for a monthly fee. In early 2016, the company has built... View Details
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- 18 Feb 2011
- Working Paper Summaries