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Publications

Filter Results: (196) Arrow Down
Filter Results: (196) Arrow Down Arrow Up

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  • All HBS Web  (196)
    • News  (22)
    • Research  (144)
    • Events  (5)
  • Faculty Publications  (70)

Show Results For

  • All HBS Web  (196)
    • News  (22)
    • Research  (144)
    • Events  (5)
  • Faculty Publications  (70)
← Page 2 of 196 Results →

    Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

    Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details
    • Forthcoming
    • Article

    Uprooting Loneliness: A Theory of Continuity-Breaking Self-Narrative Change

    By: Jennifer Petriglieri and Elizabeth Sheprow
    Through an inductive study of executives reporting persistent loneliness at work, we examine how problematic work experiences can be rooted in the self through narratives, and the process by which they can be uprooted. In the case of loneliness, we found that... View Details
    Keywords: Lonelines; Narratives; Qualitative Method; Well-being; Emotions; Employees
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    Petriglieri, Jennifer, and Elizabeth Sheprow. "Uprooting Loneliness: A Theory of Continuity-Breaking Self-Narrative Change." Academy of Management Journal (forthcoming). (Pre-published online April 30, 2025.)
    • July 2002
    • Article

    The Economist As Engineer: Game Theory, Experimental Economics and Computation As Tools of Design Economics

    By: Alvin E Roth
    Keywords: Game Theory; Economics; Mathematical Methods; Design
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    Roth, Alvin E. "The Economist As Engineer: Game Theory, Experimental Economics and Computation As Tools of Design Economics." Econometrica 70, no. 4 (July 2002): 1341–1378.

      Yajun Cao

      Yajun Cao is a doctoral student in Organizational Behavior (Micro) at Harvard Business School. His research focuses on emotion regulation, setbacks, and resilience, aiming to understand how individuals and groups bounce back and grow from negative events. He explores... View Details
      • January 2010
      • Journal Article

      A Choice Prediction Competition: Choices from Experience and from Description

      By: Ido Erev, Eyal Ert, Alvin E. Roth, Ernan E. Haruvy, Stefan Herzog, Robin Hau, Ralph Hertwig, Terrence Steward, Robert West and Christian Lebiere
      Erev, Ert, and Roth organized three choice prediction competitions focused on three related choice tasks: one-shot decisions from description (decisions under risk), one-shot decisions from experience, and repeated decisions from experience. Each competition was based... View Details
      Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Mathematical Methods; Risk and Uncertainty; Competition
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      Erev, Ido, Eyal Ert, Alvin E. Roth, Ernan E. Haruvy, Stefan Herzog, Robin Hau, Ralph Hertwig, Terrence Steward, Robert West, and Christian Lebiere. "A Choice Prediction Competition: Choices from Experience and from Description." Special Issue on Decisions from Experience. Journal of Behavioral Decision Making 23, no. 1 (January 2010).
      • 12 Feb 2019
      • HBS Seminar

      Gary Loveman, Harvard Business School

      • March 2015 (Revised January 2020)
      • Case

      Behavioural Insights Team (A)

      By: Michael Luca and Patrick Rooney
      The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
      Keywords: Behavioral Economics; Experiments; Choice Architecture; Public Entrepreneurship; Decision Choices and Conditions; Consumer Behavior; Taxation; Economics; Public Administration Industry; United Kingdom
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      Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (A)." Harvard Business School Case 915-024, March 2015. (Revised January 2020.)

        Katherine B. Coffman

        Katherine Coffman is the Piramal Associate Professor of Business Administration in the Negotiations, Organizations & Markets unit. Before joining HBS, she was an assistant professor of economics at The Ohio State University and a visiting assistant professor of... View Details

        • March 2016 (Revised January 2020)
        • Teaching Note

        Behavioural Insights Team (A) and (B)

        By: Michael Luca and Patrick Rooney
        The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
        Keywords: Behavioral Economics; Experiments; Choice Architecture; Public Entrepreneurship; Decision Choices and Conditions; Mathematical Methods; United Kingdom
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        Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (A) and (B)." Harvard Business School Teaching Note 916-050, March 2016. (Revised January 2020.)
        • Research Summary

        Consumer Behavior and Health

        Professor Riis studies consumer behavior and health using the methods and theories of experimental psychology and behavioral economics. Particular problems that he is currently investigating include:

        • Information use and decision making in food service... View Details

        • 09 Aug 2011
        • First Look

        First Look: August 9

        experiment. The two experiments use the same methods and subject pool and examine games randomly selected from the same distribution. The current introductory paper presents the results of the estimation experiment and clarifies the... View Details
        Keywords: Sean Silverthorne
        • March 2015 (Revised January 2020)
        • Supplement

        Behavioural Insights Team (B)

        By: Michael Luca and Patrick Rooney
        The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
        Keywords: Behavioral Economics; Experiments; Choice Architecture; Public Entrepreneurship; United Kingdom
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        Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (B)." Harvard Business School Supplement 915-025, March 2015. (Revised January 2020.)
        • June 2013
        • Article

        Opting-in: Participation Bias in Economic Experiments

        By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett
        Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data... View Details
        Keywords: Participation Bias; Laboratory Experiments; Prejudice and Bias; Research
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        Slonim, Robert, Carmen Wang, Ellen Garbarino, and Danielle Merrett. "Opting-in: Participation Bias in Economic Experiments." Journal of Economic Behavior & Organization 90 (June 2013): 43–70.
        • Research Summary

        Interpersonal Communication & Human-Computer Interaction

        This stream of research, combining methods from experimental psychology and natural language processing, investigates behaviors that improve interpersonal communication. In our paper on question-asking published in Journal of Personality and Social Psychology,... View Details
        Keywords: Communication; Responsiveness; Negotiation; Gender Stereotypes
        • January 2008
        • Article

        Nonemployment Stigma as Rational Herding: A Field Experiment

        By: Felix Oberholzer-Gee
        Long spells of unemployment are known to reduce the likelihood of re-employment, but it is difficult to discern the reasons for this observation. Using an experimental method that controls for search intensity and possible discouragement of job applicants, I document... View Details
        Keywords: Job Search; Job Cuts and Outsourcing; Employment; Cognition and Thinking; Perception; Creativity; Human Needs; Job Interviews; Selection and Staffing; Recruitment; Managerial Roles; Judgments; Employment Industry
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        Oberholzer-Gee, Felix. "Nonemployment Stigma as Rational Herding: A Field Experiment." Journal of Economic Behavior & Organization 65, no. 1 (January 2008): 30–40.
        • Article

        Towards the Unification and Robustness of Perturbation and Gradient Based Explanations

        By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
        As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
        Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
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        Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
        • 23 Apr 2018
        • Research & Ideas

        Sponsorship Programs Could Actually Widen the Gender Gap

        to her heart when she got pregnant in the 1980s,” Coffman says.) Since joining academia in the 1980s, Baldiga has studied issues related to advancement and retention in professional services firms. Coffman, meanwhile, is a behavioral economist who uses View Details
        Keywords: by Carmen Nobel
        • Research Summary

        Overview

        By: Iavor I. Bojinov
        Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
        • 2022
        • Article

        Towards Robust Off-Policy Evaluation via Human Inputs

        By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
        Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
        Keywords: Analytics and Data Science; Research
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        Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
        • 2023
        • Working Paper

        In-Context Unlearning: Language Models as Few Shot Unlearners

        By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
        Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
        Keywords: AI and Machine Learning; Copyright; Information
        Citation
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        Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
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