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(1,141)
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Show Results For
- All HBS Web
(1,141)
- News (151)
- Research (836)
- Events (12)
- Multimedia (9)
- Faculty Publications (558)
- 18 Nov 2014
- Working Paper Summaries
Financial Development and Technology Diffusion
Keywords: by Diego Comin & Ramana Nanda
- 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
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
'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
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
Perlow, Leslie, and Jessica L. Porter. "Making Time Off Predictable—and Required." Harvard Business Review 87, no. 10 (October 2009).
- 13 Apr 2012
- HBS Seminar
Drazen Prelec, Professor of Management Science and Economics at MIT Sloan School of Management
The Surprising Power of Online Experiments
In the fast-moving digital world, even experts have a hard time assessing new ideas. Case in point: At Bing a small headline change an employee proposed was deemed a low priority and shelved for months until one engineer decided to do a quick online controlled... 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
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).
- Research Summary
Bargaining with Imperfect Enforcement
Joint work with Mark Williams, formerly of Exeter College, Oxford.
The game-theoretic bargaining literature insists on non-cooperative bargaining procedure but allows cooperative implementation of agreements. The effect of this is to allow free-reign of bargaining... View Details
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Audrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Audrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 2016
- Chapter
Envy and Interpersonal Corruption: Social Comparison Processes and Unethical Behavior in Organizations
By: Julia J. Lee and Francesca Gino
Book Abstract: Competition for resources, recognition, and favorable outcomes are all facts of life in professional settings. When one falls short in comparison to colleagues or subordinates, feelings of envy may arise. Fueled by inferiority, hostility, and resentment,... View Details
Lee, Julia J., and Francesca Gino. "Envy and Interpersonal Corruption: Social Comparison Processes and Unethical Behavior in Organizations." In Envy at Work and in Organizations, edited by Richard H. Smith, Ugo Merlone, and Michelle K. Duffy, 347–372. New York: Oxford University Press, 2016.
Jeremy Yang
Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
Kathleen L. McGinn
Kathleen L. McGinn is the Cahners-Rabb Professor of Business Administration at Harvard Business School. Professor McGinn has served in various leadership roles at HBS, including Research Director, Unit Head, Chair of Doctoral Programs, and Senior... View Details
- 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
- Research Summary
The Power of Paradox: Some Recent Developments in Interactive Epistemology
This survey describes a central paradox of game theory, viz. the Paradox of Backward Induction (BI). The paradox is that the BI outcome is often said to follow from basic game-theoretic principles--specifically, from the assumption that the players are rational. Yet,... View Details
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Chapter
Malleability Interventions in Intergroup Relations
By: Smadar Cohen-Chen, Amit Goldenberg, James J. Gross and Eran Halperin
One important characteristic of intergroup relations and conflicts is the fact that toxic or violent intergroup relations are often associated with fixed and stable perceptions of various entities, including the ingroup (stable and positive), the outgroup (stable and... View Details
Cohen-Chen, Smadar, Amit Goldenberg, James J. Gross, and Eran Halperin. "Malleability Interventions in Intergroup Relations." Chap. 7 in Psychological Intergroup Interventions: Evidence-based Approaches to Improve Intergroup Relations, by Eran Halperin, Boaz Hameiri, and Rebecca Littman. Routledge, 2023.
- 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
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.