Publications
Publications
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- All HBS Web
(4,159)
- Faculty Publications (1,265)
- Forthcoming
- Article
It Takes Two to Untangle: Illuminating How and Why Some Workplace Relationships Adapt While Others Deteriorate After a Workplace Microaggression
By: Summer R. Jackson and Basima A. Tewfik
Although scholars largely assume that workplace microaggressions negatively impact the work relationship between the target and the perpetrator, relational deterioration is not the only observable relational outcome. Indeed, there are instances of relational... View Details
- 2024
- Dictionary Entry
Jerry R. Green (1946-)
By: Eddie Dekel, John Geanakoplos and Scott Duke Kominers
Jerry Green has a deep and long-standing connection to Harvard University, and in particular with its Economics Department. This paper begins by reviewing his intellectual background, and then turns to exploring how he has influenced scholars through his wide-ranging... View Details
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
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Making Machine Learning Robust to Adversarial Attacks
The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details
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Managers and Employees: Justice at Work
By: Nien-he Hsieh
The employment relationship represents another significant area for managerial decision making. While much of what managers and employees owe one another depends upon mutual agreement, not all of the terms can be specified in advance. Given these conditions, what... View Details
- Research Summary
Managing the Advantages and Tradeoffs of Collaborative Structures
To solve complex problems, organizations must both collect facts and use them to solve problems. In one study, my coauthors and I show that increased connectivity—measured as network... View Details
- Research Summary
Market Triads: A Theoretical and Empirical Analysis of Market Intermediation (Journal for the Theory of Social Behavior, June 2002)
By: Rakesh Khurana
This paper examines the role of executive search firms in CEO search. The paper argues that the numerical shift from two party market transactions (e.g. buyers and sellers) to three party transactions (e.g. buyers, sellers, and third party) transforms market exchanges... View Details
- Forthcoming
- Article
Measurement and Effects of Bank Exit Policies
By: Daniel Green and Boris Vallée
We study whether exit policies by financial institutions have financial and real consequences on the firms they target, using bank coal exit policies as a laboratory. In contrast to theories assuming high capital substitutability, we find large effects of these... View Details
- Teaching Interest
Organization and Management Theory
This doctoral seminar explores fundamental aspects of organizations and organization theory. This seminar will cover various approaches to organizations and the institutional contexts within which they operate. We will pay particular attention to innovation and... View Details
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Overview
My academic research centers on uncovering and closing gaps between the theory and reality of tax policy. My main contribution has been to identify and address a mismatch between the goals for taxation typically assumed in theory and the goals the public and... View Details
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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
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By: Tatiana Sandino
In studying management control systems, Professor Sandino aims to understand how different control mechanisms can help lead employees within an organization to achieve common goals. Her work builds on contingency theory by exploring environmental, strategic, and... View Details
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By: Isamar Troncoso
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details
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Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
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Professor Robertson conducts research on the history of financial markets. Her book manuscript and working papers shed light on the evolution of securities markets and the relationship between finance, governance, and society. Some of the topics she pursues include:... View Details
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By: Peter Tufano
Tufano’s research has focused on financial innovation and financial engineering—and for more than two decades, household finance. While he continues to study these topics, his current primary research is on the role of business in addressing climate change. With... View Details
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By: Hise O. Gibson
Professor Gibson's primary research interests encompass inclusive leadership, operational effectiveness, human capital development, leadership, leader development, leading change, and risk management especially during crisis. As part of his broader work to... View Details
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I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
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By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details