Publications

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March 2008
Article

What Have We Learned from Market Design?

By: Alvin E. Roth

This essay discusses some things we have learned about markets, in the process of designing marketplaces to fix market failures. To work well, marketplaces have to provide thickness, i.e. they need to attract a large enough proportion of the potential participants in... View Details

Keywords: Risk Management; Market Design; Market Participation; Market Transactions; Failure; Safety

2008
Chapter

When Learning and Performance Are at Odds: Confronting the Tension

By: Sara Jean Singer and A. C. Edmondson

This chapter explores complexities of the relationship between learning and performance. We start with the general proposition that learning promotes performance and then describe several challenges for researchers and managers who wish to study or promote learning in... View Details

Keywords: Learning; Leadership; Organizational Culture; Performance Improvement; Behavior

19 Oct 2010
Working Paper Summaries

The Impact of Supply Learning on Customer Demand: Model and Estimation Methodology

Keywords: by Nathan Craig, Nicole DeHoratius & Ananth Raman; Apparel & Accessories; Fashion

March 2018
Case

Summit Public Schools (A)

By: John J-H Kim and Aldo Sesia

Summit Public Schools was a very successful charter management organization with schools in California and Washington State. The students came from a variety of socioeconomic backgrounds, many from economically disadvantaged households. While nearly all of its students... View Details

Keywords: K-12; Online Learning; Virtual Learning; Blended Learning; Secondary Education; Middle School Education; Early Childhood Education; Learning; Business Model; Performance Improvement; Technology

September 1992
Case

Star Cablevision Group (F): Lessons Learned

By: William A. Sahlman

Last case in a series of six cases. This case describes the company as it reflects back to lessons learned. View Details

Keywords: Learning

Mar 2020
Conference Presentation

A New Analysis of Differential Privacy's Generalization Guarantees

By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld

We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details

Keywords: Machine Learning; Transfer Theorem; Mathematical Methods

14 Mar 2023
Cold Call Podcast

Can AI and Machine Learning Help Park Rangers Prevent Poaching?

Keywords: Re: Brian L. Trelstad; Computer; Information Technology; Technology

March 2023
Article

Learning to Successfully Hire in Online Labor Markets

By: Marios Kokkodis and Sam Ransbotham

Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details

Keywords: Selection and Staffing; Analysis; Decision Choices and Conditions

September 1999
Background Note

Learning from Projects: Note on Conducting a Postmortem Analysis

By: Stefan H. Thomke and Steven Sinofsky

Describes how firms can learn from projects through postmortem analysis. Focuses on the step-by-step process of preparing and running a postmortem meeting as it is done at Microsoft and other software developers. View Details

Keywords: Conferences; Management Analysis, Tools, and Techniques; Projects; Software; Information Technology Industry

June, 2021
Article

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

By: Edward L. Glaeser, Ginger Zhe Jin, Benjamin T. Leyden and Michael Luca

During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant... View Details

Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior

January–February 2022
Article

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury

How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details

Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance

March 2017 (Revised March 2018)
Case

Connections Education: Shifting the Paradigm?

By: John J-H Kim and Aldo Sesia

The online virtual learning (K-12) industry in 2017 remains an industry moving fast with many different players and stakeholders. While online virtual learning is beginning to make its way into school districts, it is far from being mainstream and a long way from full... View Details

Keywords: K-12; Online Learning; Virtual Learning; Blended Learning; Education; Learning; Strategy; Online Technology; Education Industry; United States

Article

Overcoming the Winner's Curse: An Adaptive Learning Perspective

By: Yoella Bereby-Meyer and Brit Grosskopf

The winner's curse phenomenon refers to the fact that the winner in a common value auction, in order to actually win the auction, is likely to have overestimated the item's value and consequently is likely to gain less than expected and may even lose (i.e., it is said... View Details

17 Jun 2019
Research & Ideas

What Hospitals Must Learn to Compete

Harvard Business School professors Raffaella Sadun and Leemore Dafny are both economists who have studied hospitals extensively—Sadun’s research has looked at the economics of management, while Dafny’s examines interactions between health... View Details

Keywords: by Alumni Bulletin Staff; Health

2005
Working Paper

Team Learning Trade-Offs: When Improving One Critical Dimension of Performance Inhibits Another

By: Richard M.J. Bohmer, Ann B. Winslow, Amy C. Edmondson and Gary P. Pisano

2020
Working Paper

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury

Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details

Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance