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2016
Working Paper

Explaining the Persistence of Gender Inequality: The Work-Family Narrative as a Social Defense Against the 24/7 Work Culture

By: Irene Padavic, Robin J. Ely and Erin M. Reid

It is widely accepted that the conflict women experience between family obligations and professional jobs’ long hours lies at the heart of their stalled advancement. Yet research suggests that this “work-family narrative” is partial at best: men, too, experience... View Details

Keywords: 24/7 Work Culture; Hegemonic Narrative; Social Defense; Work-family Conflict; Systems Psychodynamic Theory; Work-Life Balance; Personal Development and Career; Gender; Equality and Inequality; Organizational Culture

16 Apr 2001
Research & Ideas

Breaking the Code of Change

Two dramatically different approaches to organizational change are being employed in the world today, according to our observations, research, and experience. We call these Theory E and Theory O View Details

Keywords: by Michael Beer & Nitin Nohria

2014
Article

Corporate Social Responsibility Reporting in China: Symbol or Substance?

By: Christopher Marquis and Cuili Qian

This study focuses on how and why firms strategically respond to government signals regarding appropriate corporate activity. We integrate institutional theory and research on corporate political strategy to develop a political dependence model that explains (a) how... View Details

Keywords: Institutional Theory; Political Strategy; Non-market Strategy; China; Corporate Social Responsibility; Corporate Disclosure; Corporate Social Responsibility and Impact; Emerging Markets; Government and Politics; China

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2018
Working Paper

Two Hundred Years of Health and Medical Care: The Importance of Medical Care for Life Expectancy Gains

By: Maryaline Catillon, David Cutler and Thomas Getzen

Using two hundred years of national and Massachusetts data on medical care and health, we examine how central medical care is to life expectancy gains. While common theories about medical care cost growth stress growing demand, our analysis highlights the importance of... View Details

Keywords: Mortality; Life Expectancy; Medical Care; Productivity; Public Health; Healthcare Spending; Spending Per Year Of Life Gained; Personal Medicine; Technophysio Evolution; Health; Economics; Health Care and Treatment; Spending; Data and Data Sets; Health Industry

May 2021
Case

The International Space Station, Principal-Agent Problems, and NASA's Quest to Keep Humans in Space

By: Matthew Weinzierl and Mehak Sarang

In building the International Space Station (ISS), NASA opened the door to the development of a robust in-space economy in low-Earth Orbit, and yet the decision to build the station, and continue to extend its lifetime, placed a huge burden on NASA’s Human Spaceflight... View Details

Keywords: Aerospace; Nasa; Space Economy; Principal-agent Theory; Policy; Commercialization; Aerospace Industry

Forthcoming
Article

Beefing IT Up for Your Investor? Engagement with Open Source Communities, Innovation, and Startup Funding: Evidence from GitHub

By: Annamaria Conti, Christian Peukert and Maria P. Roche

We study the engagement of nascent firms with open source communities and its implications for innovation and attracting funding. To do so, we link data on 160,065 U.S. startups from Crunchbase to their activities on the open source software development platform... View Details

Keywords: Startups; Knowledge; Open Source Communities; GitHub; Machine Learning; Innovation; Business Startups; Venture Capital; Information Technology; Strategy

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September–October 2021
Article

Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan

We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details

Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry

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October 2023
Article

Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details

Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States

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November 2013
Article

Learning from My Successes and from Others' Failures: Evidence from Minimally Invasive Cardiac Surgery

By: D. KC, B. Staats and F. Gino

Learning from past experience is central to an organization's adaptation and survival. A key dimension of prior experience is whether an outcome was successful or unsuccessful. While empirical studies have investigated the effects of success and failure in... View Details

Keywords: Healthcare; Health Care; Knowledge Work; Attribution Theory; Quality; Success; Medical Specialties; Health Care and Treatment; Failure; Learning; Health Industry

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14 Aug 2017
Conference Presentation

A Convex Framework for Fair Regression

By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth

We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details

Keywords: Regression Models; Machine Learning; Fairness; Framework; Mathematical Methods

04 Jun 2012
Research & Ideas

The Business of Life

unusual application of an economic term delighted Christensen, a management professor known around HBS and the globe as both a brilliant business thinker and a deeply religious man. For more than a decade he has been a go-to consultant... View Details

Keywords: by Carmen Nobel

Article

Towards Robust and Reliable Algorithmic Recourse

By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju

As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details

Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction

October 2023 (Revised June 2024)
Case

ReUp Education: Can AI Help Learners Return to College?

By: Kris Ferreira, Christopher Thomas Ryan and Sarah Mehta

Founded in 2015, ReUp Education helps “stopped out students”—learners who have stopped making progress towards graduation—achieve their college completion goals. The company relies on a team of success coaches to engage with learners and help them reenroll. In 2019,... View Details

Keywords: AI; Algorithms; Machine Learning; Edtech; Education Technology; Analysis; Higher Education; AI and Machine Learning; Customization and Personalization; Failure; Education Industry; Technology Industry; United States

November 2022
Article

A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups

By: Anjali M. Bhatt, Amir Goldberg and Sameer B. Srivastava

When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining... View Details

Keywords: Culture; Machine Learning; Natural Language Processing; Symbolic Boundaries; Organizations; Boundaries; Social Psychology; Interpersonal Communication; Organizational Culture

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May 2000
Article

Maxmin Expected Utility over Savage Acts with a Set of Priors

By: Ramon Casadesus-Masanell, Peter Klibanoff and Emre Ozdenoren

This paper provides an axiomatic foundation for a maxmin expected utility over a set of priors (MMEU) decision rule in an environment where the elements of choice are Savage acts. This characterization complements the original axiomatizations of MMEU developed in a... View Details

Keywords: Uncertainty Aversion; Ambiguity; Expected Utility; Set Of Priors; Knightian Uncertainty; Decision Making; Game Theory; Risk and Uncertainty; Mathematical Methods

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spring 2006
Article

All's Fair in Love, War, & Bankruptcy: Corporate Governance Implications of CEO Turnover in Financial Distress

By: Ethan S. Bernstein

Prior discussions of management turnover during financial distress have examined bankrupt and non-bankrupt firms as distinct groupings with little overlap. Separately investigating rates of turnover in-bankruptcy and out-of-bankruptcy, without a direct comparison... View Details

Keywords: CEO Turnover; Bankruptcy; Restructuring; Shadow Of Bankruptcy; Borrowing and Debt; Credit; Financing and Loans; Corporate Governance; Finance; Theory; Markets; United States

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August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

Article

Deep Down My Enemy Is Good: Thinking about the True Self Reduces Intergroup Bias

By: Julian De Freitas and Mina Cikara

Intergroup bias—preference for one's in-group relative to out-groups—is one of the most robust phenomena in all of psychology. Here we investigate whether a positive bias that operates at the individual-level, belief in a good true self, may be leveraged to reduce... View Details

Keywords: Intergroup Bias; True Self; Essentialism; Lay Theories

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July 2019 (Revised November 2019)
Case

Osaro: Picking the Best Path

By: William R. Kerr, James Palano and Bastiane Huang

The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details

Teaching Interest

Economics

Instructor, Harvard Kennedy School of Government, MPA Mid-Career Summer Program View Details

Keywords: Economics; Game Theory; Quantitative Analysis

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