Publications

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January 2004 (Revised July 2006)
Background Note

Incentives within Organizations

By: Brian J. Hall

Serves as a brief introduction to incentive design and implementation. The analysis first locates incentive strategy within the larger structure of organizations and markets and then helps to define the central components and difficulties of incentive design. Focuses... View Details

Keywords: Organizations; Motivation and Incentives

Educators

January 1995
Case

3M: Profile of an Innovating Company

By: Christopher A. Bartlett and Afroze A Mohammed

Traces the birth and development of 3M Corp., focusing in particular on the origins of its entrepreneurially-based ability to innovate. In particular, it highlights the role of CEO William L. McKnight in creating a unique set of values, policies, and structures to... View Details

Keywords: Organizational Change and Adaptation; Competitive Advantage; Organizational Culture

Educators

31 Jan 2013
News

Women Don’t Negotiate Because They’re Not Idiots

January 2001 (Revised January 2004)
Case

Ninth House: e-Learning Software

By: Amy C. Edmondson, Frances X. Frei and Corey B. Hajim

Jeff Snipes, CEO of the Ninth House Network, a San Francisco-based E-Learning company, considers a strategy shift to address a recent slump in sales and to attract more customers. The revised strategy would require creating shorter, more directed content that could be... View Details

Keywords: Internet and the Web; Service Operations; Organizational Structure; Groups and Teams; Corporate Strategy; Organizational Culture; Learning; Sales; Service Delivery; Entrepreneurship; Information Technology Industry; Service Industry; Education Industry; San Francisco

February 2019 (Revised August 2019)
Case

Maccabitech: The Promise of Israel's Healthcare Data

By: Scott Duke Kominers and Carin-Isabel Knoop

Dr. Varda Shalev bridges technology and medicine through Maccabitech, a "research and innovation wing" of Israel's Maccabi Healthcare Services (MHS) that partners with research institutions, pharmaceutical companies, and startups. Shalev hopes to scale Maccabitech's... View Details

Keywords: Big Data; Healthcare; Analytics and Data Science; Digital Platforms; Health Care and Treatment; Innovation and Invention; Research; Entrepreneurship; Risk Management; Israel

Educators

06 Sep 2021
News

Automated Hiring Software Is Mistakenly Rejecting Millions of Viable Job Candidates

2010
Working Paper

Venture Capital Investment in the Clean Energy Sector

By: Shikhar Ghosh and Ramana Nanda

We examine the extent to which venture capital is adequately positioned for the rapid commercialization of clean energy technologies in the United States. While there are several startups in clean energy that are well-suited to the traditional venture capital... View Details

Keywords: Business Startups; Energy Generation; Venture Capital; Investment; Governing Rules, Regulations, and Reforms; Technological Innovation; Competition; Energy Industry; Green Technology Industry; United States

Research Summary

4. Collaborative Brokerage, Generative Creativity, and Creative Success

Joint work with Lee Fleming (Technology and Operations Management Unit, Harvard Business School) and David Chen (Doctoral Candidate, Harvard Business School and Harvard School of... View Details

October 14, 2019
Article

The Truth About Open Offices: There Are Reasons Why They Don't Produce the Desired Interactions

By: Ethan Bernstein and Ben Waber

It’s never been easier for workers to collaborate—or so it seems. Open, flexible, activity-based spaces are displacing cubicles, making people more visible. Messaging is displacing phone calls, making people more accessible. Enterprise social media such as Slack and... View Details

Keywords: Buildings and Facilities; Interpersonal Communication; Communication Technology; Design; Human Resources; Performance Productivity; Organizational Design

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03 Nov 2015
HBS Seminar

Avi Goldfarb, University of Toronto, Rotman School of Management

Article

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details

Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods

Raffaella Sadun is Charles E. Wilson Professor of Business Administration at Harvard Business School, and is a Co-Chair of Harvard Business School’s Project on Managing the Future of Work and co-PI of the Digital Reskilling Lab. Sadun received her PhD in Economics... View Details

Article

Competition for Scarce Resources

By: Peter Eso, Volker Nocke and Lucy White

We model a downstream industry where firms compete to buy capacity in an upstream market that allocates capacity efficiently. Although downstream firms have symmetric production technologies, we show that industry structure is symmetric only if capacity is sufficiently... View Details

Keywords: Competitive Strategy; Natural Environment; Technology; Production; Business Cycles; Forecasting and Prediction; Cost; Demand and Consumers; Industry Structures; Performance Capacity

Research Summary

'Optimal Incentive Contracts under Inequity Aversion' (with Achim Wambach) ), 2005

We analyze the Moral Hazard problem, assuming that the agent is inequity averse. Our results differ from conventional contract theory and are more in line with empirical findings than these standard results. Our key findings are: Inequity aversion alters the structure... View Details

September 2018
Article

Aggregation of Consumer Ratings: An Application to Yelp.com

By: Weijia Dai, Ginger Jin, Jungmin Lee and Michael Luca

Because consumer reviews leverage the wisdom of the crowd, the way in which they are aggregated is a central decision faced by platforms. We explore this "rating aggregation problem" and offer a structural approach to solving it, allowing for (1) reviewers to vary in... View Details

Keywords: User Generated Content; Crowdsourcing; Yelp; Social and Collaborative Networks; Information; Internet and the Web; Learning; Mathematical Methods; E-commerce

2013
Chapter

Privacy Breach Analysis in Social Networks

By: Frank Nagle

Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details

Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science

March 2011
Supplement

BioPasteur: Instructions for the group discussion

By: Giovanni Gavetti and Francesca Gino

The purpose of this exercise is to let students experience a few biases that can be deleterious to strategic decision-making. In particular, students are induced to fall into a confirmatory trap, and to experience other biases such as anchoring and sampling bias.... View Details

Keywords: Decision Making; Groups and Teams; Prejudice and Bias; Strategy