Publications

Educators

Research Summary

The Unexpected Effects of Workplace Transparency

By: Ethan S. Bernstein

Workplace transparency provides a foundation for learning and control, and therefore for satisfaction and productivity. Yet my research shows that an obsession with transparency-enhancing tools and structures can backfire, producing the unintended consequences of... View Details

Keywords: Transparency; Privacy; Productivity; Field Experiments; Organizational Design; Organizational Structure; Behavior; Social and Collaborative Networks; Human Resources; Leadership; United States; Europe; China; Japan

August 2019 (Revised February 2020)
Teaching Note

Sidewalk Labs: Privacy in a City Built from the Internet Up

By: Leslie John and Mitch Weiss

Email mking@hbs.edu for a courtesy copy.

The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details

Keywords: Privacy; Privacy By Design; Privacy Regulation; Platforms; Data; Data Security; Behavioral Science; Analytics and Data Science; Safety; Entrepreneurship; Business and Government Relations; Consumer Behavior; Digital Platforms

Forthcoming
Article

Personalization and Targeting: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer

Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details

Keywords: Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; Customer Focus and Relationships; Research

SSRN

Research Summary

Overview

By: Kris Johnson Ferreira

Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details

Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry

Article

Matriarch: A Python Library for Materials Architecture

By: Tristan Giesa, Ravi Jagadeesan, David I. Spivak and Markus J. Buehler

Biological materials, such as proteins, often have a hierarchical structure ranging from basic building blocks at the nanoscale (e.g., amino acids) to assembled structures at the macroscale (e.g., fibers). Current software for materials engineering allows the user to... View Details

Keywords: Building Block; Category Theory; Hierarchical Protein Materials; Molecular Design; Open-Source Software; Structure Creation

Research Summary

The Unexpected Effects of Workplace Connectivity

By: Ethan S. Bernstein

While investigating how workplace transparency and privacy shape organizational behavior and performance, I wondered about the related effects of workplace connectivity. As new digital tools and organizational forms make it far easier for employees to communicate... View Details

Keywords: Human Behavior; Performance; Virtual Work; Hybrid Work; Office Space; Workplace Design; Organizations; Organizational Design; Organizational Structure; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Communication

2025
Working Paper

Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions

By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti

Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details

Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement

SSRN

Awards

Apgar Award for Innovation in Teaching

By: Alan D. MacCormack

Received the Apgar Award for Innovation in Teaching in 2011 for his role in designing the new first-year FIELD (Field Immersion Experiences for Leadership Development) course. View Details

Teaching Interest

Developing Yourself as a Leader

By: Ethan S. Bernstein

This course is an online leadership development program for the next generation of leaders (high-potential emerging leaders with rougly 7-15 years of work experience). Over 12 dynamic, high-impact weeks, a cohort of emerging leaders from around the globe engages... View Details

Keywords: Leadership; Leadership Development And Career Planning; Self-assessment; Self-awareness; Design Thinking; Communication; Career Advancement; Leadership Development; Personal Development and Career

2017
Article

Self-Managing Organizations: Exploring the Limits of Less-Hierarchical Organizing

By: Michael Y. Lee and Amy C. Edmondson

Fascination with organizations that eschew the conventional managerial hierarchy and instead radically decentralize authority has been longstanding, albeit at the margins of scholarly and practitioner attention. Recently, however, organizational experiments in radical... View Details

Keywords: Self-Managed Organizations; Self-Managed Teams; Self-organizing Systems; Self-managing Organizations; Flat Organization; Decentralization; Organization Design; Non-hierarchical Organizations; Less-hierarchical Organizing; Organizational Structure; Organizational Design; Research

January–February 2020
Article

Are You Undervaluing Your Customers?: It’s Time to Start Measuring and Managing Their Worth

By: Rob Markey

Leaders recognize that they should manage their businesses to maximize the value of the customer base. But too often, earnings pressures result in cost-cutting measures that hurt customers.

Loyalty-leading companies operate differently. They create systems for... View Details

Keywords: Customer Experience; Customer Value; Customer Centric Initiative; Customer Focused Organization; Customer Lifetime Value; Customer Focus and Relationships; Customer Value and Value Chain; Operations; Business Strategy

July–August 2024
Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza

Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details

Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy

March 2020
Article

Which Early Withdrawal Penalty Attracts the Most Deposits to a Commitment Savings Account?

By: John Beshears, James J. Choi, Christopher Harris, David Laibson, Brigitte C. Madrian and Jung Sakong

Previous research has shown that some people voluntarily use commitment contracts that restrict their own choice sets. We study how people divide money between two accounts: a liquid account that permits unrestricted withdrawals and a commitment account that is... View Details

Keywords: Quasi-hyperbolic Discounting; Present Bias; Sophistication; Naiveté; Commitment; Flexibility; Savings; Contract Design; Defined Contribution Retirement Plan; 401 (K); IRA; Saving; Behavior; Contracts; Design; Interest Rates

January 2021 (Revised March 2021)
Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

Educators

July–August 2016
Article

Beyond the Holacracy Hype: The Overwrought Claims—and Actual Promise—of the Next Generation of Self-Managed Teams

By: Ethan Bernstein, John Bunch, Niko Canner and Michael Lee

Holacracy and other forms of self-organization have been getting a lot of press. Proponents hail them as "flat" environments that foster flexibility, engagement, productivity, and efficiency. Critics say they're naive, unrealistic experiments. We argue, using evidence... View Details

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19 Feb 2008
Research & Ideas

Radical Design, Radical Results

When furniture designer Herman Miller presented a prototype of its sleek, mesh Aeron chair to a consumer focus group, many asked if they could see a finished, upholstered version. Innovative product design... View Details

Keywords: by Julia Hanna; Consumer Products

September–October 2015
Article

Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces

By: Jesse Shore, Ethan Bernstein and David Lazer

Using data from a novel laboratory experiment on complex problem solving in which we varied the structure of 16-person networks, we investigate how an organization's network structure shapes performance of problem-solving tasks. Problem solving, we argue, involves both... View Details