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  • All HBS Web  (1,225)
    • People  (20)
    • News  (201)
    • Research  (701)
    • Events  (7)
    • Multimedia  (11)
  • Faculty Publications  (309)
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  • Web

The Harvard Business School Classroom Experience: Inside the Case Method | MBA

School Classroom Please plan to attend our HBS Classroom and Case Method Workshop to learn about the case method. The Fall 2025 session will take place on Wednesday, September 3, 2025 from 3:30-4:30pm. Location details will be posted... View Details
  • Web

The General Shoe Company, 1921 | Baker Library

The General Shoe Company, 1921 What I love about General Shoe is it allows students to practice a core skill of general managers: how do you go into an ambiguous situation and... View Details
  • 15 Feb 2022
  • News

Charlotte Club Hosts Webinar to Mark 100 Years of the Case Method

Clubs News Clubs News The HBS Club of Charlotte recently marked 100 Years of Case Method Teaching and Learning at HBS by hosting a virtual conversation with two of the School’s most prolific case writers. The January 19 event, which... View Details
Keywords: Margie Kelley
  • Research Summary

Overview

I am an ethnographer and field researcher studying how people experience and interpret their work and cultural contexts, as well as how this shapes inequality and organizational outcomes like normative control. I specialize in utilizing in-depth, inductive field... View Details
Keywords: Qualitative Research; Ethnography; Corporate Culture; Organizational Behavior; Organizational Change and Adaptation; Theory; Working Conditions; Consulting Industry
  • 1995
  • Chapter

Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets

By: Julio J. Rotemberg and Michael Woodford
Keywords: Mathematical Methods; Competition; Markets
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Rotemberg, Julio J., and Michael Woodford. "Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets." In Frontiers of Business Cycle Research, edited by Thomas Cooley. Princeton, NJ: Princeton University Press, 1995.
  • 16 Nov 2021
  • News

Can Massachusetts General Brigham Diversify Its Community of Innovators?

  • 2023
  • Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.

    Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation.

    Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers' decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
    • 2025
    • Article

    Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

    By: Kosuke Imai and Michael Lingzhi Li
    Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
    Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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    Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
    • June 2020
    • Article

    Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model

    By: Rory McDonald and Kathleen Eisenhardt
    Prior research advances several explanations for entrepreneurial success in nascent markets but leaves a key imperative unexplored: the business model. By studying five ventures in the same nascent market, we develop a novel theoretical framework for understanding how... View Details
    Keywords: Search; Legitimacy; Organizational Innovation; Organizational Learning; Mechanisms And Processes; Institutional Entrepreneurship; Qualitative Methods; Business Model Design; Business Model; Business Startups; Entrepreneurship; Emerging Markets; Adaptation; Competition; Strategy
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    McDonald, Rory, and Kathleen Eisenhardt. "Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model." Administrative Science Quarterly 65, no. 2 (June 2020): 483–523.
    • Web

    Case Method - Research Resources | Baker Library | Bloomberg Center | Harvard Business School

    Skip to Main Content Exhibition Home Exhibition Business Education & The Case Method The General Shoe Company, 1921 Case Writing & Industry Expansion of the Case Method The... View Details
    • October 2022
    • Article

    How Leaders with Divergent Visions Generate Novel Strategy: Navigating the Paradox of Preservation and Modernization in Swiss Watchmaking

    By: Ryan Raffaelli, Rich DeJordy and Rory M. McDonald
    How do leaders with divergent visions for their organization come together to create a novel strategy? This paper employs paradox as a lens to investigate how leader-dyads can integrate opposing strategies to produce a new, generative approach. Drawing on a qualitative... View Details
    Keywords: Strategic Paradoxes; Senior Leaders; Organizational Reinvention; Leadership; Technological Innovation; Innovation and Management; Innovation Strategy; Change; Manufacturing Industry; Consumer Products Industry; Switzerland
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    Raffaelli, Ryan, Rich DeJordy, and Rory M. McDonald. "How Leaders with Divergent Visions Generate Novel Strategy: Navigating the Paradox of Preservation and Modernization in Swiss Watchmaking." Academy of Management Journal 65, no. 5 (October 2022): 1593–1622.
    • 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.
    • 2018
    • Working Paper

    Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?

    By: Kenneth C. Lichtendahl Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose and Robert L. Winkler
    Many organizations face critical decisions that rely on forecasts of binary events. In these situations, organizations often gather forecasts from multiple experts or models and average those forecasts to produce a single aggregate forecast. Because the average... View Details
    Keywords: Forecast Aggregation; Linear Opinion Pool; Generalized Additive Model; Generalized Linear Model; Stacking.; Forecasting and Prediction
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    Lichtendahl, Kenneth C., Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose, and Robert L. Winkler. "Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?" Harvard Business School Working Paper, No. 19-041, October 2018.
    • July 2012
    • Article

    Discrete Choice Cannot Generate Demand That Is Additively Separable in Own Price

    By: Sonia Jaffe and Scott Duke Kominers
    We show that in a unit demand discrete choice framework with at least three goods, demand cannot be additively separable in own price. This result sharpens the analogous result of Jaffe and Weyl (2010) in the case of linear demand and has implications for testing of... View Details
    Keywords: Discrete Choice; Unit Demand; Separable Demand; Linear Demand; Demand and Consumers; Market Design; Mathematical Methods; Economics
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    Jaffe, Sonia, and Scott Duke Kominers. "Discrete Choice Cannot Generate Demand That Is Additively Separable in Own Price." Economics Letters 116, no. 1 (July 2012): 129–132.
    • Web

    HBS & the Case Method - Message From the Director | Baker Library | Bloomberg Center | Harvard Business School

    Skip to Main Content Exhibition Home Exhibition Business Education & The Case Method The General Shoe Company, 1921 Case Writing & Industry Expansion of the Case Method The... View Details
    • March 2025
    • Article

    Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

    By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
    The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details
    Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
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    Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
    • January 2019
    • Supplement

    Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis

    By: Jill Avery and Gerald Zaltman
    In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar... View Details
    Keywords: Brand Management; Market Research; Brand Positioning; Value Proposition; Consumer Products; Fast Moving Consumer Goods; Qualitative Methods; Zaltman Metaphor Elicitation Technique; ZMET; Data Analysis; Marketing; Marketing Strategy; Brands and Branding; Consumer Behavior; Marketing Communications; Analytics and Data Science; Analysis; Consumer Products Industry; Food and Beverage Industry; Advertising Industry; United States; North America; Italy
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    Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis." Harvard Business School Supplement 519-062, January 2019.
    • Article

    Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

    By: Eva Ascarza and Ayelet Israeli

    An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

    Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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    Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
    • November 2020 (Revised March 2022)
    • Teaching Note

    Social Salary Setting at Spiber

    By: Ashley Whillans and John Beshears
    Teaching Note for HBS Case No. 920-050. The case tells the story of Spiber, a Japanese technology start-up company. To reflect the company’s values, the leadership team implemented a new and unique salary-setting process: each employee had the authority to choose their... View Details
    Keywords: Compensation; General Management; Employee Benefits; Incentives; Motivation; Compensation and Benefits; Fairness; Motivation and Incentives; Management; Happiness; Negotiation; Cross-Cultural and Cross-Border Issues; Japan
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    Whillans, Ashley, and John Beshears. "Social Salary Setting at Spiber." Harvard Business School Teaching Note 921-014, November 2020. (Revised March 2022.)
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