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  • All HBS Web  (2,079)
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    • News  (342)
    • Research  (1,496)
    • Events  (23)
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Show Results For

  • All HBS Web  (2,079)
    • People  (3)
    • News  (342)
    • Research  (1,496)
    • Events  (23)
    • Multimedia  (1)
  • Faculty Publications  (740)
← Page 6 of 2,079 Results →
  • 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
Keywords: by Carmen Nobel; Retail; Air Transportation; Food & Beverage; Entertainment & Recreation
  • 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
Keywords: Growth and Development Strategy; Internet and the Web; Business Startups; Service Operations; Service Industry; New York (city, NY); Boston
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Fuller, Joseph B., and Christopher Payton. "Hello Alfred: Come Home Happy — Operating the Business Model Exercise." Harvard Business School Spreadsheet Supplement 317-705, January 2017.
  • 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
Keywords: by Rachel Layne; Financial Services; Banking
  • 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
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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
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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
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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
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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
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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

Keywords: by Feng Zhu & Marco Iansiti; Entertainment & Recreation
  • 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
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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’

By: Jacqueline N. Lane
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
Keywords: Risk and Uncertainty; Research; Resource Allocation; Perception
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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
Keywords: Household Finance; Fintech; Consumer Credit; Credit; Consumer Behavior
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Di Maggio, Marco, Justin Katz, and Emily Williams. "Buy Now, Pay Later Credit: User Characteristics and Effects on Spending Patterns." NBER Working Paper Series, No. 30508, September 2022.
  • 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
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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.
  • 12 Oct 2021
  • News

AI Can Bring More Equity To The Workplace And Consumer Markets By Implementing These Conditions

  • 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
Keywords: Consumer Behavior; Banks and Banking
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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’

By: Jacqueline N. Lane
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
Keywords: Risk and Uncertainty; Research; Resource Allocation; Perception
Citation
SSRN
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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
Keywords: Growth and Development Strategy; Internet and the Web; Business Startups; Service Operations; Mobile and Wireless Technology; Service Industry; New York (city, NY); Boston
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Fuller, Joseph B., and Christopher Payton. "Hello Alfred: Come Home Happy — Operating the Business Model Exercise, Instructor Version." Harvard Business School Spreadsheet Supplement 321-707, May 2021.
  • 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
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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
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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

A Behavioral Model of Demandable Deposits and Its Implications for Financial Regulation

Keywords: by Julio J. Rotemberg; Financial Services
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