Publications

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

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

SSRN

2007
Working Paper

Noncompetes and Inventor Mobility: Specialists, Stars, and the Michigan Experiment

Several scholars have documented the positive consequences of job-hopping by inventors, including knowledge spillovers and agglomeration and the concentration of spinoffs. This work investigates a possible antecedent of inventor mobility: regional variation in the... View Details

Keywords: Contracts; Laws and Statutes; Intellectual Property; Innovation and Invention; Michigan

Fast Answer

Companies: Executive and board member prior experience

How do I locate companies with current executives or board members that have specific industry experience such as consulting? Use Capital IQ to do a search on PE/VC firms and add criteria that includes key... View Details

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

Keywords: Innovation; Problem Solving; Expertise; Crowdsourcing; Nasa; Experience and Expertise; Collaborative Innovation and Invention; Research and Development

2022
Working Paper

Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment

By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Kyle Schirmann

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

SSRN

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

Keywords: Risk Management; Investment; Experience and Expertise

Web

Academic Experience - MBA

Academic Experience We challenge you to think differently. Curriculum Through the rich case- and experience-based curriculum at Harvard Business School, students build deep general management View Details

18 Mar 2019
Blog Post

My Transformational Experience at HBS

Erica Santoni, MBA 2019 and co-president of the Women’s Student Association (WSA), had doubts about applying to Harvard Business School. Learn how the application process was the first of many transformations in her life, View Details

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

Keywords: Causality; Nonparametric; Potential Outcomes; Trading Costs; Mathematical Methods

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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... View Details

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

SSRN

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

Sep 20 2021
Short Film

An Inspiring Experience

08 Aug 2018
Blog Post

Hands-on Experience in Hospitality

Before I came to HBS, I worked in consulting. I knew that I wanted a different experience for my summer and looked at multiple leadership development programs. One stood out: Marriott’s Management... View Details

Keywords: Hospitality

Article

Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise

Keywords: Cognition and Thinking

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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

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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

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

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