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(1,157)
- News (154)
- Research (844)
- Events (17)
- Multimedia (9)
- Faculty Publications (571)
Show Results For
- All HBS Web
(1,157)
- News (154)
- Research (844)
- Events (17)
- Multimedia (9)
- Faculty Publications (571)
- 2016
- Article
Does volunteering improve well-being?
By: A.V. Whillans, Scott C. Seider, Lihan Chen, Ryan J. Dwyer, Sarah Novick, Kathryn J. Gramigna, Brittany A. Mitchell, Victoria Savalei, Sally S. Dickerson and Elizabeth W. Dunn
Does volunteering causally improve well-being? To empirically test this question, we examined one instantiation of volunteering that is common at post-secondary institutions across North America: community service learning (CSL). CSL is a form of experiential learning... View Details
Whillans, A.V., Scott C. Seider, Lihan Chen, Ryan J. Dwyer, Sarah Novick, Kathryn J. Gramigna, Brittany A. Mitchell, Victoria Savalei, Sally S. Dickerson, and Elizabeth W. Dunn. "Does volunteering improve well-being?" Comprehensive Results in Social Psychology 1, nos. 1-3 (2016): 35–50.
- 2015
- Working Paper
Incentives versus Reciprocity: Insights from a Field Experiment
By: Doug J. Chung and Das Narayandas
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details
Keywords: Sales Force Compensation; Field Experiment; Heterogeneity; Loss Aversion; Reciprocity; Motivation and Incentives; Salesforce Management; Compensation and Benefits
Chung, Doug J., and Das Narayandas. "Incentives versus Reciprocity: Insights from a Field Experiment." Harvard Business School Working Paper, No. 15-084, April 2015. (Revised November 2015.)
- Article
Guilt Enhances the Sense of Control and Drives Risky Judgments
By: Maryam Kouchaki, Christopher Oveis and F. Gino
The present studies investigate the hypothesis that guilt influences risk-taking by enhancing one's sense of control. Across multiple inductions of guilt, we demonstrate that experimentally induced guilt enhances optimism about risks for the self (Study 1), preferences... View Details
Kouchaki, Maryam, Christopher Oveis, and F. Gino. "Guilt Enhances the Sense of Control and Drives Risky Judgments." Journal of Experimental Psychology: General 143, no. 6 (December 2014): 2103–2110.
- 29 Nov 2016
- HBS Seminar
Aneeta Rattan, London Business School
- 10 May 2011
- First Look
First Look: May 10
the Right Way Authors:Todd Rogers and Michael I. Norton Publication:Journal of Experimental Psychology: Applied (forthcoming) Abstract What happens when speakers try to "dodge" a question they would rather not answer by... View Details
Keywords: Sean Silverthorne
- 2024
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp
Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We
leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed
light on these questions. We find that customers feel closer to their AI companion... View Details
De Freitas, Julian, Noah Castelo, Ahmet Uğuralp, and Zeliha Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024. (Revised December 2024.)
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- 2019
- Working Paper
Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving
By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s... View Details
- 22 Jan 2019
- First Look
New Research and Ideas, January 22, 2019
price-based moves. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=55474 in press Journal of Experimental Social Psychology A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image By: Wakeman W., C.... View Details
Keywords: Dina Gerdeman
- Web
Program Requirements - Doctoral
Research Methods Courses Intermediate Statistical Analysis in Psychology (Psychology 1950) Multivariate Analysis in Psychology (Psychology 1952) Research Design Courses Design of Field Research Methods (HBS 4070) Experimental Methods (HBS... View Details
Jacqueline Ng Lane
Jackie Lane is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School and a co-Principal Investigator of the Laboratory for Innovation Science at Harvard (LISH) at the Digital Data Design Institute (D^3) at Harvard. She... 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
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
Marketing - Faculty & Research
future. Recent Publications Is Personal Identity Intransitive? By: J. De Freitas and L. J. Rips March 2025 | Article | Journal of Experimental Psychology: General There has been a call for a potentially revolutionary change to our... 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
- 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
- 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.