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  • All HBS Web  (1,189)
    • News  (163)
    • Research  (844)
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  • Faculty Publications  (566)

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  • All HBS Web  (1,189)
    • News  (163)
    • Research  (844)
    • Events  (17)
    • Multimedia  (13)
  • Faculty Publications  (566)
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  • 2022
  • Conference Presentation

Towards the Unification and Robustness of Post hoc Explanation Methods

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: AI and Machine Learning
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Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
  • 2021
  • Chapter

Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias
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Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
  • May–June 2019
  • Article

U-Shaped Conformity in Online Social Networks

By: Monic Sun, Michael Zhang and Feng Zhu
We explore how people balance their needs to belong and to be different from their friends by studying their choices of a virtual-house wall color on a leading Chinese social-networking site. The setting enables us to randomize both the popular color and the adoption... View Details
Keywords: Conformity; Normative Social Influence; Social Networks; Field Experiment; Social and Collaborative Networks; Behavior; Attitudes; Social Media
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Sun, Monic, Michael Zhang, and Feng Zhu. "U-Shaped Conformity in Online Social Networks." Marketing Science 38, no. 3 (May–June 2019): 461–480.
  • 2015
  • Chapter

Leading Proactive Punctuated Change

By: Michael Tushman, Charles O'Reilly and Bruce Harreld
This chapter focuses on leading proactive punctuated change. Based on the institutional and organizational change literatures and our extended involvement with IBM between 1999 and 2008, we suggest that proactive punctuated change can be effectively managed through an... View Details
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Tushman, Michael, Charles O'Reilly, and Bruce Harreld. "Leading Proactive Punctuated Change." Chap. 10 in Leading Sustainable Change: An Organizational Perspective, edited by Rebecca Henderson, Ranjay Gulati, and Michael Tushman. Oxford University Press, 2015.
  • 2011
  • Working Paper

Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior

By: David F. Drake
In an experimental newsvendor setting we investigate three phenomena: Level behavior — the decision-maker's average ordering tendency; adjustment behavior — the tendency to adjust period-to-period order quantities; and observation bias — the tendency to let the degree... View Details
Keywords: Cost; Consumer Behavior; Decision Making; Prejudice and Bias; Profit
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Drake, David F. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior." Harvard Business School Working Paper, No. 12-042, December 2011.
  • 18 Nov 2014
  • Working Paper Summaries

Financial Development and Technology Diffusion

Keywords: by Diego Comin & Ramana Nanda
  • 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.)
  • Article

Diversity Thresholds: How Social Norms, Visibility, and Scrutiny Relate to Group Composition

By: Edward H. Chang, Katherine L. Milkman, Dolly Chugh and Modupe Akinola
Across a field study and four experiments, we examine how social norms and scrutiny affect decisions about adding members of underrepresented populations (e.g., women, racial minorities) to groups. When groups are scrutinized, we theorize that decision makers strive to... View Details
Keywords: Social Norms; Impression Management; Groups and Teams; Governing and Advisory Boards; Diversity; Gender; Decision Making
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Chang, Edward H., Katherine L. Milkman, Dolly Chugh, and Modupe Akinola. "Diversity Thresholds: How Social Norms, Visibility, and Scrutiny Relate to Group Composition." Academy of Management Journal 62, no. 1 (February 2019): 144–171.
  • 2015
  • Chapter

Negotiations: Statistical Aspects

By: James K. Sebenius
'Negotiation analysis' seeks to develop prescriptive theory and useful advice for negotiators and third parties. It generally emphasizes the parties' underlying interests, alternatives to negotiated agreement, approaches to productively manage the inherent tension... View Details
Keywords: Negotiation Preparation; Negotiation Tactics; Negotiation Participants
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Sebenius, James K. "Negotiations: Statistical Aspects." In International Encyclopedia of the Social & Behavioral Sciences. 2nd ed. Edited by James D. Wright, 430–436. London: Elsevier, 2015.
  • October 2009
  • Article

Making Time Off Predictable—and Required

By: Leslie Perlow and Jessica L. Porter
People in professional services believe a 24/7 work ethic is essential for getting ahead—and so they work 60-plus hours a week and stay tethered to their BlackBerrys. This perpetuates a vicious cycle: Responsiveness breeds the need for more responsiveness. When people... View Details
Keywords: Management Practices and Processes; Performance Expectations; Performance Productivity; Work-Life Balance; Service Industry
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Perlow, Leslie, and Jessica L. Porter. "Making Time Off Predictable—and Required." Harvard Business Review 87, no. 10 (October 2009).
  • 22 Nov 2023
  • Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

consultants using AI were 19 percentage points less likely to produce the right answer. “Organizations need an experimental mindset where they implement a methodical test-and-learn approach.” How to tell which tasks fall on which side of... View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • Research Summary

The Transparency of Ethical Behavior

(with Max Bazerman, Karim Kassam, and Neeru Paharia)
This research analyzes how unethical behavior is viewed when performed... View Details
  • 2023
  • Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
  • 01 Sep 2009
  • First Look

First Look: September 1

forces. Download the paper from SSRN ($5): http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1413775 Repetition of Interaction and Learning: An Experimental Analysis Authors:Bradley R. Staats, Francesca Gino, and Gary P. Pisano Abstract... View Details
Keywords: Martha Lagace
  • 20 Oct 2015
  • First Look

October 20, 2015

People Who Care About Others Cooperate More? Experimental Evidence from Relative Incentive Pay By: Hernandez, Pablo, Dylan B. Minor, and Dana Sisak Abstract—We experimentally study ways in which the social... View Details
Keywords: Sean Silverthorne
  • 30 Oct 2018
  • First Look

New Research and Ideas, October 30, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=54546 Product Quality and Entering Through Tying: Experimental Evidence By: Kim, Hyunjin, and Michael Luca Abstract—Dominant platform businesses often develop products in adjacent markets to... View Details
Keywords: Dina Gerdeman
  • Article

Towards Robust and Reliable Algorithmic Recourse

By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • March 2021
  • Article

Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment

By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the... View Details
Keywords: Visual Perception; Bayesian Modeling; Perception; Judgments
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Xiang, Yang, Thomas Graeber, Benjamin Enke, and Samuel Gershman. "Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment." Attention, Perception, & Psychophysics (March 2021): 1–11.
  • March 2020
  • Article

Which Early Withdrawal Penalty Attracts the Most Deposits to a Commitment Savings Account?

By: John Beshears, James J. Choi, Christopher Harris, David Laibson, Brigitte C. Madrian and Jung Sakong
Previous research has shown that some people voluntarily use commitment contracts that restrict their own choice sets. We study how people divide money between two accounts: a liquid account that permits unrestricted withdrawals and a commitment account that is... View Details
Keywords: Quasi-hyperbolic Discounting; Present Bias; Sophistication; Naiveté; Commitment; Flexibility; Savings; Contract Design; Defined Contribution Retirement Plan; 401 (K); IRA; Saving; Behavior; Contracts; Design; Interest Rates
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Beshears, John, James J. Choi, Christopher Harris, David Laibson, Brigitte C. Madrian, and Jung Sakong. "Which Early Withdrawal Penalty Attracts the Most Deposits to a Commitment Savings Account?" Art. 104144. Journal of Public Economics 183 (March 2020).
  • March 2018
  • Article

How Context Affects Choice

By: Raphael Thomadsen, Robert P. Rooderkerk, On Amir, Neeraj Arora, Bryan Bollinger, Karsten Hansen, Leslie John, Wendy Liu, Aner Sela, Vishal Singh, K. Sudhir and Wendy Wood
Due to its origins in the literature on judgment and decision-making, context effects in marketing are construed exclusively in terms of how choices deviate from utility maximization principles as a function of how choices are presented (e.g., framing, sequence,... View Details
Keywords: Decision Making; Decision Choices and Conditions; Situation or Environment; Consumer Behavior
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Thomadsen, Raphael, Robert P. Rooderkerk, On Amir, Neeraj Arora, Bryan Bollinger, Karsten Hansen, Leslie John, Wendy Liu, Aner Sela, Vishal Singh, K. Sudhir, and Wendy Wood. "How Context Affects Choice." Special Issue on 2016 Choice Symposium. Customer Needs and Solutions 5, nos. 1-2 (March 2018): 3–14.
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