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  • All HBS Web  (3,248)
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  • 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
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Giesa, Tristan, Ravi Jagadeesan, David I. Spivak, and Markus J. Buehler. "Matriarch: A Python Library for Materials Architecture." ACS Biomaterials Science & Engineering 1, no. 10 (October 2015): 1009–1015.
  • Research Summary

Overview

By: Ethan S. Bernstein
I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
  • April 2019
  • Article

Incentives for Public Goods Inside Organizations: Field Experimental Evidence

By: Andrea Blasco, Olivia S. Jung, Karim R. Lakhani and Michael Menietti
Understanding why employees go the extra mile at work is a key problem for many organizations. We conduct a field experiment at a medical organization to study motivations for employees to submit project proposals for organizational improvement. In total, we analyze... View Details
Keywords: Field Experiment; Innovation; Contest; Incentives; Free-rider Problem; Healthcare Organizations; Employees; Motivation and Incentives; Innovation and Invention; Organizations; Performance Improvement; Perspective
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Blasco, Andrea, Olivia S. Jung, Karim R. Lakhani, and Michael Menietti. "Incentives for Public Goods Inside Organizations: Field Experimental Evidence." Journal of Economic Behavior & Organization 160 (April 2019): 214–229.
  • Research Summary

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Erin's research focuses on how organizations can and should respond to employee failures. She is interested in understanding the effects that organizational responses have on subsequent employee behavior, and how organizational policies can be designed to more... View Details
Keywords: Repair; Recovery; Reintegration; Prosocial Behavior; Field Experiment; Psychology; Networks; Punishment; Giving and Philanthropy; Social Psychology; Motivation and Incentives; Social and Collaborative Networks; Ethics
  • Research Summary

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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
  • 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
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John, Leslie, and Mitch Weiss. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Teaching Note 820-023, August 2019. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
  • 2024
  • Working Paper

Advancing Personalization: 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: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
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Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
  • 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
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DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions." Harvard Business School Working Paper, No. 24-075, June 2024. (Revised May 2025.)
  • 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
  • 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
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Lee, Michael Y., and Amy C. Edmondson. "Self-Managing Organizations: Exploring the Limits of Less-Hierarchical Organizing." Research in Organizational Behavior 37 (2017): 35–58.
  • 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
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Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
  • 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
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Markey, Rob. "Are You Undervaluing Your Customers? It’s Time to Start Measuring and Managing Their Worth." Harvard Business Review 98, no. 1 (January–February 2020): 42–50.
  • 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
Keywords: Self-Managed Organizations; Self-Managed Teams; Reliability; Adaptability; Holacracy; Organization Design; Organization Structure; Organizational Charts; Organizational Architecture; Organizational Forms; Organizational Design; Organizational Structure; Organizational Change and Adaptation; Performance Effectiveness; Performance Productivity; Management Practices and Processes; Management Systems; Managerial Roles; Human Resources; Apparel and Accessories Industry; Manufacturing Industry; Retail Industry; Public Administration Industry; Technology Industry; North America
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Bernstein, Ethan, John Bunch, Niko Canner, and Michael Lee. "Beyond the Holacracy Hype: The Overwrought Claims—and Actual Promise—of the Next Generation of Self-Managed Teams." Harvard Business Review 94, nos. 7-8 (July–August 2016): 38–49.
  • 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
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Beshears, John, James J. Choi, Christopher Harris, David Laibson, Brigitte C. Madrian, and Jung Sakong. "Which Early Withdrawal Penalty Attracts the Most Deposits to a Commitment Savings Account?" Art. 104144. Journal of Public Economics 183 (March 2020).
  • 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
Keywords: Networks; Experiments; Clustering; Problem Solving; Exploration And Exploitation; Knowledge; Search; Collaboration; Collaboration Structures; Transparency; Communication; Communication Technology; Information; Knowledge Use and Leverage; Organizational Design; Organizational Structure; Performance Effectiveness; Theory; Information Industry; Information Technology Industry; Public Administration Industry; Technology Industry; Service Industry
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Shore, Jesse, Ethan Bernstein, and David Lazer. "Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces." Organization Science 26, no. 5 (September–October 2015): 1432–1446. (Won 2014 INGRoup Outstanding Paper Award.)
  • Research Summary

Overview

I am interested in the individual experience of learning in organizational settings, particularly how employees learn to learn from the challenging work they do. I am currently researching the role of reflection for raising awareness of learning opportunities that... View Details
Keywords: Learning; Learning And Development; Learning Organizations; Intrinsic Motivation; Reflection; Goal Setting; Performance Measurement; Innovation; Job Design; Biotechnology Industry; Consulting Industry; Pharmaceutical Industry
  • 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
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Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
  • 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
  • Research Summary

Overview

Pushing decision authority downward and increasing employee autonomy have become watchwords for the modern organization. Leaders of contemporary organizations view efforts to replace “command and control” systems with less-hierarchical approaches to organizing as... View Details
Keywords: Formalization; Teams; Decentralization; Hierarchy; Organizational Design; Organizational Structure; Self-managing Organizations; Future Of Work; Flat Organization
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