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  • All HBS Web  (3,553)
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    • News  (886)
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    • Events  (33)
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  • All HBS Web  (3,553)
    • People  (13)
    • News  (886)
    • Research  (2,019)
    • Events  (33)
    • Multimedia  (3)
  • Faculty Publications  (804)
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  • January 2002 (Revised October 2005)
  • Case

General Electric Medical Systems 2002

By: Tarun Khanna and James Weber
Discusses one of General Electric's flagship divisions--the world's leading provider of medical diagnostic imaging equipment. Provides an opportunity to examine a multinational confronting massive technological and demographic changes around the world. Genomics has... View Details
Keywords: Information Technology; Business Model; Change Management; Multinational Firms and Management; Genetics; Customer Value and Value Chain; Age; Medical Devices and Supplies Industry; China; United States
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Khanna, Tarun, and James Weber. "General Electric Medical Systems 2002." Harvard Business School Case 702-428, January 2002. (Revised October 2005.)
  • April 2021
  • Article

A Model of Multi-Pass Search: Price Search Across Stores and Time

By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
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Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
  • 01 Jun 2024
  • News

Leveraging Generative AI

Four decades after HBS became the first business school in the country to require the use of personal computers in the MBA Program, the School is undergoing a different kind of technological transformation, one that leverages generative... View Details
Keywords: Jennifer Gillespie
  • January – February 2012
  • Article

When One Business Model Isn't Enough

By: Ramon Casadesus-Masanell and Jorge Tarzijan
Trying to operate two business models at once often causes strategic failure. Yet LAN Airlines, a Chilean carrier, runs three models successfully. Casadesus-Masanell, of Harvard Business School, and Tarziján, of the Pontificia Universidad Católica de Chile, explore how... View Details
Keywords: Integration; Failure; Business Model; Service Operations; Asset Management; Value; Complexity; Competency and Skills; Business Strategy; Management Analysis, Tools, and Techniques; Risk and Uncertainty; Customer Relationship Management; Air Transportation Industry
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Casadesus-Masanell, Ramon, and Jorge Tarzijan. "When One Business Model Isn't Enough." Harvard Business Review 90, nos. 1-2 (January–February 2012).
  • January – February 2011
  • Article

How to Design a Winning Business Model

By: Ramon Casadesus-Masanell and Joan E. Ricart
Most executives believe that competing through business models is critical for success, but few have come to grips with how best to do so. One common mistake is enterprises' unwavering focus on creating innovative models and evaluating their efficacy in standalone... View Details
Keywords: Business Model; Design; Strength and Weakness; Competitive Strategy; Competitive Advantage
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Casadesus-Masanell, Ramon, and Joan E. Ricart. "How to Design a Winning Business Model." Harvard Business Review 89, nos. 1-2 (January–February 2011): 100–107.
  • July 2024
  • Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.

    A Neurocomputational Model of Altruism and Its Implications

    In this paper, we propose a neurocomputational model of altruistic choice and test it using behavioral and fMRI data from a task in which subjects make choices between real monetary prizes for themselves and another. Our model captures key patterns of choice,... View Details
    • 29 Aug 2013
    • Working Paper Summaries

    X-CAPM: An Extrapolative Capital Asset Pricing Model

    Keywords: by Nicholas Barberis, Robin Greenwood, Lawrence Jin & Andrei Shleifer
    • August 2019
    • Article

    When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

    By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
    Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
    Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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    Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
    • Article

    DEA Model with Shared Resources and Efficiency Decomposition

    By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu
    Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input... View Details
    Keywords: Data Envelopment Analysis (DEA); Efficiency; Intermediate Measure; Performance Efficiency
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    Chen, Yao, Juan Du, H. David Sherman, and Joe Zhu. "DEA Model with Shared Resources and Efficiency Decomposition." European Journal of Operational Research 207, no. 1 (November 2010): 339–349.
    • 02 Feb 2016
    • Blog Post

    A Summer Internship in General Management

    previously. How did you go about securing your summer internship? I first learned about the General Mills internship at a company presentation during a career day in October. I signed up for additional... View Details
    Keywords: Consumer Products / Retail
    • 2018
    • Working Paper

    Semi-Parametric Estimation of Dynamic Discrete Choice Models

    By: David Hao Zhang
    I develop a new method for estimating counterfactuals in dynamic discrete choice models, a widely used set of models in economics, without requiring a distributional assumption on utility shocks. Applying my method to the canonical Rust (1987) setting, I find that the... View Details
    Keywords: Semiparametrics; Dynamic Discrete Choice; Consumer Choice; Mathematical Methods
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    Zhang, David Hao. "Semi-Parametric Estimation of Dynamic Discrete Choice Models." Working Paper, April 2018.
    • January 2003 (Revised August 2003)
    • Case

    General Mills and the Hawthorne Huddle (A)

    Examines the role of General Mills in the formation and leadership of the Hawthorne Huddle. The Huddle was in the Hawthorne neighborhood in Northern Minneapolis, which in 1997 was plagued with high crime and poverty. The Huddle served as a forum, held the first... View Details
    Keywords: Leadership; Corporate Social Responsibility and Impact; Management Succession; Social Issues; Consumer Products Industry; Minneapolis
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    Barrett, Diana, and Sheila McCarthy. "General Mills and the Hawthorne Huddle (A)." Harvard Business School Case 303-067, January 2003. (Revised August 2003.)
    • Research Summary

    Models of optimal experience (flow)

    Flow is a state of profound task-absorption, involvement, and intrinsic enjoyment that makes the person feel one with the activity. Csikszentmihalyi's Flow Theory states that flow is more likely to occur in situations in which the person feels that the activity is very... View Details
    • 24 Apr 2014
    • News

    Multiple generations of computing

    computer-memory system modeled after the human neocortex. The first product, Grok, detects anomalies in IT systems by automatically finding complex patterns in streams of data. In reflecting on her career trajectory, Dubinsky says: “It’s... View Details
    • 01 Sep 2013
    • News

    HBS's Unique Economic Model

    Rick Melnick Harvard Business School is renowned for educating leaders who make a difference in the world. Less well known is the economic model that enables HBS to do this—model that is unique in higher education. HBS is a living example... View Details
    Keywords: Melnick, Richard; Colleges, Universities, and Professional Schools; Educational Services
    • 2023
    • Chapter

    Inflation and Misallocation in New Keynesian Models

    By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
    The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
    Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost
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    Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
    • July 2023
    • Supplement

    Honeycomb (B): Jumping on The Generative AI Bandwagon?

    By: Jeffrey J. Bussgang and Kumba Sennaar
    Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details
    Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States
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    Bussgang, Jeffrey J., and Kumba Sennaar. "Honeycomb (B): Jumping on The Generative AI Bandwagon?" Harvard Business School Supplement 824-013, July 2023.
    • Article

    Pattern Detection in the Activation Space for Identifying Synthesized Content

    By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
    Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may... View Details
    Keywords: Subset Scanning; Generative Models; Synthetic Content Detection
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    Cintas, Celia, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, and Komminist Weldemariam. "Pattern Detection in the Activation Space for Identifying Synthesized Content." Pattern Recognition Letters 153 (January 2022): 207–213.
    • July 18, 2025
    • Article

    Using Gen AI for Early-Stage Market Research

    By: James Brand, Ayelet Israeli and Donald Ngwe
    Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by survey customers... View Details
    Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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    Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
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