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Show Results For
- All HBS Web
(12,482)
- People (96)
- News (4,034)
- Research (4,272)
- Events (79)
- Multimedia (224)
- Faculty Publications (2,702)
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- 2024
- Working Paper
Business Experiments as Persuasion
By: Orie Shelef, Rebecca Karp and Robert Wuebker
Much of the prior work on experimentation rests upon the assumption that entrepreneurs and managers use—or should optimally adopt—a "scientific approach" to test possible decisions before making them. This paper offers an alternative view of experimental strategy,... View Details
Shelef, Orie, Rebecca Karp, and Robert Wuebker. "Business Experiments as Persuasion." Harvard Business School Working Paper, No. 24-065, March 2024.
- 2019
- Working Paper
Breaking and Reconfiguring the Boundaries Between Domain Experts and Crowds to Solve Complex R&D Problems through Partial Decomposition
By: Hila Lifshitz - Assaf and Zoe Szajnfarber
The need for domain experts is all but universally assumed when organizing for scientific and technological innovation. In contrast, we are witnessing a burgeoning of citizen science, crowdsourcing, and other “open” methods based on the opposite assumption that crowds... View Details
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- November 2016
- Article
Who Neglects Risk? Investor Experience and the Credit Boom
By: Sergey Chernenko, Samuel Gregory Hanson and Adi Sunderam
Many have argued that overoptimistic thinking on the part of lenders helps fuel credit booms. We use new microdata on mutual funds' holdings of securitizations to examine which investors are susceptible to such boom-time thinking. We show that firsthand experience... View Details
Chernenko, Sergey, Samuel Gregory Hanson, and Adi Sunderam. "Who Neglects Risk? Investor Experience and the Credit Boom." Journal of Financial Economics 122, no. 2 (November 2016): 248–269. (Internet Appendix Here.)
- 2022
- Working Paper
Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment
Hybrid work is emerging as a novel form of organizing work globally. This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from the office—affects work outcomes. Collaborating with an... View Details
Keywords: Hybrid Work; Remote Work; Work-from-home; Field Experiment; Employees; Geographic Location; Performance; Work-Life Balance
Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Kyle Schirmann. "Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment." Harvard Business School Working Paper, No. 22-063, March 2022.
- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
- 2024
- Working Paper
Design of Panel Experiments with Spatial and Temporal Interference
By: Tu Ni, Iavor Bojinov and Jinglong Zhao
One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
Keywords: Research
Ni, Tu, Iavor Bojinov, and Jinglong Zhao. "Design of Panel Experiments with Spatial and Temporal Interference." Harvard Business School Working Paper, No. 24-058, March 2024.
- Article
Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise
Keywords: Cognition and Thinking
Dijksterhuis, Ap, Maarten W. Bos, Andries Van der Leij, and Rick B. Van Baaren. "Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise." Psychological Science 20, no. 11 (November 2009): 1381–1387.
- March 2023
- Supplement
Deepa Bachu (B): Insights and Experiments at Pensaar Design
By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal
In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details
Keywords: Buildings and Facilities; Design; Training; Working Conditions; Business or Company Management; Production; Business Processes; Corporate Social Responsibility and Impact; Outcome or Result; Performance Improvement; Programs; Business and Stakeholder Relations; Groups and Teams; Labor and Management Relations; Rank and Position; Safety; Attitudes; Behavior; Motivation and Incentives; Trust; Well-being; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; India
Graeber, Thomas, Joshua Schwartzstein, and Amram Migdal. "Deepa Bachu (B): Insights and Experiments at Pensaar Design." Harvard Business School Supplement 923-034, March 2023.
- December 2010
- Article
Social Preferences and Strategic Uncertainty: An Experiment on Markets and Contracts
This paper reports a three-phase experiment on a stylized labor market. In the first two phases, agents face simple games, which we use to estimate subjects' social and reciprocity concerns. In the last phase, four principals compete by offering agents a contract from... View Details
Keywords: Strategy; Risk and Uncertainty; Markets; Contracts; Decisions; Distribution; Labor; Game Theory
Cabrales, Antonio, Raffaele Miniaci, Marco Piovesan, and Giovanni Ponti. "Social Preferences and Strategic Uncertainty: An Experiment on Markets and Contracts." American Economic Review 100, no. 5 (December 2010): 2261–2278.
- 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
- June 1998
- Background Note
Share Buy-Backs: The European and Japanese Experience
By: Marc L. Bertoneche
Bertoneche, Marc L. "Share Buy-Backs: The European and Japanese Experience." Harvard Business School Background Note 298-134, June 1998.
- Article
The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment
By: Eva Ascarza, Raghuram Iyengar and Martin Schleicher
Facing the issue of increasing customer churn, many service firms have begun recommending pricing plans to their customers. One reason behind this type of retention campaign is that customers who subscribe to a plan suitable for them should be less likely to churn... View Details
Keywords: Churn/retention; Field Experiment; Pricing; Tariff/plan Choice; Targeting; Customer Relationship Management; Price; Performance Effectiveness
Ascarza, Eva, Raghuram Iyengar, and Martin Schleicher. "The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 53, no. 1 (February 2016): 46–60.
- March 2016
- Supplement
Advertising Experiments at RestaurantGrades
By: Weijia Dai, Hyunjin Kim and Michael Luca
This exercise provides students with a data set consisting of results from a hypothetical experiment, and asks students to make recommendations based on the data. Through this process, the exercise teaches students to analyze, design, and interpret experiments. The... View Details
- 2022
- Working Paper
Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment
By: Shai Benjamin Bernstein, Kunal Mehta, Richard Townsend and Ting Xu
We analyze a field experiment conducted on AngelList Talent, a large online search platform for startup jobs. In the experiment, AngelList randomly informed job seekers of whether a startup was funded by a top-tier investor and/or was funded recently. We find that the... View Details
Keywords: Startup Labor Market; Investors; Randomized Field Experiment; Certification Effect; Venture Capital; Business Startups; Human Capital; Job Search; Reputation
Bernstein, Shai Benjamin, Kunal Mehta, Richard Townsend, and Ting Xu. "Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment." Harvard Business School Working Paper, No. 22-060, February 2022.
- September 2016 (Revised October 2018)
- Case
LabCDMX: Experiment 50
By: Mitchell Weiss and Maria Fernanda Miguel
There were probably 30,000 public buses, minibuses, and vans in Mexico City. Though, in 2015, no one knew for certain since no comprehensive schedule existed. This was why el Laboratorio para la Ciudad (or LabCDMX) had spawned an effort to generate a map of the... View Details
Keywords: Public Entrepreneurship; Experimentation; Lean Startup; Government; Innovation; Crowdsourcing; Open Data; Entrepreneurship; Social Entrepreneurship; Innovation and Invention; Innovation Leadership; Government Administration; Transportation; Transportation Industry; Mexico City; Mexico
Weiss, Mitchell, and Maria Fernanda Miguel. "LabCDMX: Experiment 50." Harvard Business School Case 817-031, September 2016. (Revised October 2018.)
- June 1975 (Revised July 1975)
- Background Note
Experience and Cost: Some Implications for Manufacturing Policy
Wheelwright, Steven C. "Experience and Cost: Some Implications for Manufacturing Policy." Harvard Business School Background Note 675-228, June 1975. (Revised July 1975.)
- 2008
- Working Paper
Variation in Experience and Team Familiarity: Addressing the Knowledge Acquisition-Application Problem
By: Robert S. Huckman and Bradley R. Staats
Prior work in organizational learning has failed to find a consistent effect of variation in experience on performance. While some studies find a positive relationship between these two variables, others find no effect or even a negative relationship. In this paper, we... View Details
Keywords: Experience and Expertise; Learning; Knowledge Acquisition; Knowledge Use and Leverage; Organizational Culture; Performance Improvement; Groups and Teams; Familiarity; India
Huckman, Robert S., and Bradley R. Staats. "Variation in Experience and Team Familiarity: Addressing the Knowledge Acquisition-Application Problem." Harvard Business School Working Paper, No. 09-035, September 2008.
- 25 Sep 2012
- Working Paper Summaries