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  • All HBS Web  (1,150)
    • News  (164)
    • Research  (842)
    • Events  (17)
    • Multimedia  (13)
  • Faculty Publications  (564)

Show Results For

  • All HBS Web  (1,150)
    • News  (164)
    • Research  (842)
    • Events  (17)
    • Multimedia  (13)
  • Faculty Publications  (564)
← Page 30 of 1,150 Results →

    Kathleen L. McGinn

    Kathleen L. McGinn

    Professor Kathleen L. McGinn, Baker Foundation Professor and Cahners-Rabb Professor of Business Administration (emeritus) at Harvard Business School, has served in various leadership roles at HBS, including Research... View Details

    • 09 Jan 2024
    • In Practice

    Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

    the assistance of ChatGPT) Throughout 2023, we dedicated considerable effort to assessing whether the recent strides in generative AI were mere fads or indicative of a transformative future. This period was marked by extensive View Details
    Keywords: by Rachel Layne; Information Technology
    • Research Summary

    Overview

    I am currently a Principal or Co-Principal Investigator of five field-based randomized controlled trials, each of which examines the management of lay health workers in developing countries, with an eye toward generating theoretical insights and policy guidance on how... View Details
    • Web

    Class Profile - Doctoral

    Pricing Corporate Governance Corporate Strategy Corporate Finance Diversity Emerging Markets Environment Ethics Experimental Economics Game Theory Health Care Incentives Innovation International Business Leadership Networks Power &... View Details
    • Article

    Faithful and Customizable Explanations of Black Box Models

    By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
    As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
    Keywords: Interpretable Machine Learning; Black Box Models; Decision Making; Framework
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    Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
    • Web

    Program Requirements - Doctoral

    Methods in Corporate Finance (HBS 4220) Matched Sampling and Study Design (Stat 240); (Stat 140 or Econ 1127 are strongly recommended as prerequisites) Design of Field Research Methods (HBS 4070) Experimental Methods (HBS 4435) Additional... View Details
    • 17 Dec 2013
    • First Look

    First Look: December 17

    as an imperial power. Publisher's link: http://press.princeton.edu/titles/9952.html August 2013 American Economic Review Household Bargaining and Excess Fertility: An Experimental Study in Zambia By: Ashraf, Nava, Erica Field, and Jean... View Details
    Keywords: Carmen Nobel
    • December 2024
    • Article

    Public Attitudes on Performance for Algorithmic and Human Decision-Makers

    By: Kirk Bansak and Elisabeth Paulson
    This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
    Keywords: Public Opinion; Prejudice and Bias; Decision Making
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    Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
    • 2023
    • Working Paper

    The Complexity of Economic Decisions

    By: Xavier Gabaix and Thomas Graeber
    We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
    Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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    Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
    • January 2024
    • Article

    Investing with the Government: A Field Experiment in China

    By: Emanuele Colonnelli, Bo Li and Ernest Liu
    We study the demand for government participation in China’s venture capital and private equity market. We conduct a large-scale, non-deceptive field experiment in collaboration with the leading industry service provider, through which we survey both capital investors... View Details
    Keywords: Venture Capital; Private Equity; Business and Government Relations; Entrepreneurship; China
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    Colonnelli, Emanuele, Bo Li, and Ernest Liu. "Investing with the Government: A Field Experiment in China." Journal of Political Economy 132, no. 1 (January 2024): 248–294.
    • 2023
    • Article

    On the Impact of Actionable Explanations on Social Segregation

    By: Ruijiang Gao and Himabindu Lakkaraju
    As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
    Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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    Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
    • February 2022
    • Article

    OMG! My Boss Just Friended Me: How Evaluations of Colleagues' Disclosure, Gender, and Rank Shape Personal/Professional Boundary Blurring Online

    By: Nancy Rothbard, Lakshmi Ramarajan, Ariane Ollier-Malaterre and Serenity Lee
    We propose and test a relational boundary-blurring framework, examining how employees’ evaluations of colleagues’ characteristics drive their decisions to connect with colleagues as friends online. We use a multi-method approach across four studies to investigate how... View Details
    Keywords: Self-disclosure; Relationships; Employees; Internet and the Web; Boundaries
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    Rothbard, Nancy, Lakshmi Ramarajan, Ariane Ollier-Malaterre, and Serenity Lee. "OMG! My Boss Just Friended Me: How Evaluations of Colleagues' Disclosure, Gender, and Rank Shape Personal/Professional Boundary Blurring Online." Academy of Management Journal 65, no. 1 (February 2022): 35–65.
    • Article

    Heuristics Guide the Implementation of Social Preferences in One-Shot Prisoner's Dilemma Experiments

    By: Jillian J. Jordan, Valerio Capraro and David G. Rand
    Cooperation in one-shot anonymous interactions is a widely documented aspect of human behavior. Here we shed light on the motivations behind this behavior by experimentally exploring cooperation in a one-shot continuous-strategy Prisoner’s Dilemma (i.e. one-shot... View Details
    Keywords: Human Behavior; Social Evolution; Behavior; Cooperation; Decision Making; Game Theory
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    Jordan, Jillian J., Valerio Capraro, and David G. Rand. "Heuristics Guide the Implementation of Social Preferences in One-Shot Prisoner's Dilemma Experiments." Art. 6790. Scientific Reports 4 (2014).
    • Article

    The Similarity Heuristic

    By: Daniel Read and Yael Grushka-Cockayne
    Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has... View Details
    Keywords: Heuristics And Biases; Fast-and-frugal Heuristics; Similarity; Representative Design
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    Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
    • Article

    Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures

    By: Matthew Lee and Laura Huang
    Recent studies find that female-led ventures are penalized relative to male-led ventures due to role incongruity, or a perceived “lack of fit,” between female stereotypes and expected personal qualities of business entrepreneurs. We examine whether social impact... View Details
    Keywords: Entrepreneurship; Gender; Prejudice and Bias; Framework; Perception; Performance Evaluation
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    Lee, Matthew, and Laura Huang. "Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures." Organization Science 29, no. 1 (January–February 2018): 1–16.
    • April 2018
    • Article

    Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices

    By: Rellie Derfler-Rozin, Bradford Baker and F. Gino
    In this paper, we explore referral-based hiring practices and show how a referrer’s power (relative to the hiring manager) influences other organizational members’ support (or lack thereof) for who is hired through perceptions of the hiring manager’s motives and... View Details
    Keywords: Selection and Staffing; Ethics; Perception
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    Derfler-Rozin, Rellie, Bradford Baker, and F. Gino. "Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices." Academy of Management Journal 61, no. 2 (April 2018): 615–636.
    • March 2016 (Revised February 2023)
    • Teaching Note

    Advertising Experiments at RestaurantGrades

    By: Michael Luca, Weijia Dai and Hyunjin Kim
    Advertising Experiments at RestaurantGrades is an exercise in which students are asked to analyze and make a recommendation on the basis of simulated experimental data. The setting is a hypothetical restaurant review company called RestaurantGrades (RG), which shows... View Details
    Keywords: Advertising Campaigns; Marketing; Digital Marketing; Analysis; Performance Effectiveness
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    Luca, Michael, Weijia Dai, and Hyunjin Kim. "Advertising Experiments at RestaurantGrades." Harvard Business School Teaching Note 916-039, March 2016. (Revised February 2023.)
    • Research Summary

    "How Social Networks Moderate Loss Aversion"

    The literature on consumers’ relationships with their brands emphasizes that, when people form relationships with brands that mirror their social relationships, the norms of social relationships are used as guiding principles in their interactions with... View Details
    • 07 Apr 2011
    • Working Paper Summaries

    The Consequences of Financial Innovation: A Counterfactual Research Agenda

    Keywords: by Josh Lerner & Peter Tufano
    • 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
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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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