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Publications

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  • All HBS Web  (2,044)
    • News  (420)
    • Research  (1,318)
    • Events  (25)
    • Multimedia  (3)
  • Faculty Publications  (450)

Show Results For

  • All HBS Web  (2,044)
    • News  (420)
    • Research  (1,318)
    • Events  (25)
    • Multimedia  (3)
  • Faculty Publications  (450)
← Page 15 of 2,044 Results →
  • 2020
  • Working Paper

Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus

By: David Hao Zhang and Paul Willen
We use a new methodology to assess mortgage pricing discrimination by race. We make four main contributions. First, we show that existing estimates of mortgage pricing differences by race can be confounded by a "menu problem," which is the problem associated with... View Details
Keywords: Mortgages; Financing and Loans; Prejudice and Bias; Race; Measurement and Metrics; Banking Industry; United States
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Zhang, David Hao, and Paul Willen. "Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus." Working Paper, September 2020.
  • 2024
  • Case

EPCorp: Convincing the C-Suite

By: Jacob M. Cook
In EPCorp: Convincing the C-Suite, Shivani Bahl is attempting to sell EPCorp's CEO, Debbie Sullivan, on her ideas for not only a new website upgrade but also a more expansive vision on how data and Generative AI can be used to grow the company. Debbie is understandably... View Details
Keywords: AI and Machine Learning; E-commerce; Growth and Development Strategy
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Cook, Jacob M. "EPCorp: Convincing the C-Suite." Harvard Business Publishing Case, 2024. (Quick Case.)
  • September 2015
  • Article

Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago

By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.
Objective
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago
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Kho, Abel, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers, and et al. "Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago." Journal of the American Medical Informatics Association 22, no. 5 (September 2015): 1072–1080.
  • January 2014 (Revised December 2014)
  • Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation & Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States
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Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
  • 2022
  • Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
  • 2023
  • Working Paper

The Market for Healthcare in Low Income Countries

By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal
Patient trust is an important driver of the demand for healthcare. But it may also impact supply: doctors who realize that patients may not trust them may adjust their behavior in response. We assemble a large dataset that assesses clinical performance using... View Details
Keywords: Health Care and Treatment; Quality; Developing Countries and Economies; Trust
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Banerjee, Abhijit, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam, and Aakash Mohpal. "The Market for Healthcare in Low Income Countries." Working Paper, July 2023.
  • January–February 2025
  • Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
  • May 2023
  • Article

How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates

By: Caroline Le Pennec and Vincent Pons
We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the... View Details
Keywords: Political Debates; TV Debates; Voting; Political Elections; Decision Choices and Conditions
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Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
  • 2023
  • Working Paper

Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection

By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
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McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
  • 2023
  • Working Paper

Culture as a Signal: Evidence from a Natural Field Experiment

By: Wei Cai, Dennis Campbell and Jiehang Yu
The importance of culture as an informal management control system is increasingly acknowledged in academia. While prior research mainly focuses on the value of culture on internal stakeholders (e.g., employees), we examine whether culture serves as a credible signal... View Details
Keywords: Organizational Culture; Groups and Teams; Customer Focus and Relationships
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Cai, Wei, Dennis Campbell, and Jiehang Yu. "Culture as a Signal: Evidence from a Natural Field Experiment." SSRN Working Paper Series, No. 4447603, May 2023.
  • Article

Exposure to Harmful Workplace Practices Could Account for Inequality in Life Spans Across Different Demographic Groups

By: Joel Goh, Jeffrey Pfeffer and Stefanos A. Zenios
The existence of important socioeconomic disparities in health and mortality is a well-established fact. Many pathways have been adduced to explain inequality in life spans. In this article we examine one factor that has been somewhat neglected: people with different... View Details
Keywords: Occupational Health; Inequality; Life Expectancy; Socioeconomic Issues; Health
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Goh, Joel, Jeffrey Pfeffer, and Stefanos A. Zenios. "Exposure to Harmful Workplace Practices Could Account for Inequality in Life Spans Across Different Demographic Groups." Health Affairs 34, no. 10 (October 2015): 1761–1768.
  • 2013
  • Working Paper

Testing Coleman's Social-Norm Enforcement Mechanism: Evidence from Wikipedia

By: Mikolaj J. Piskorski and Andreea Gorbatai
Since Durkheim, sociologists have believed that dense network structures lead to fewer norm violations. Coleman (1990) proposed one mechanism generating this relationship and argued that dense networks provide an opportunity structure to reward those who punish norm... View Details
Keywords: Governance Compliance; Governance Controls; Governing Rules, Regulations, and Reforms; Information Publishing; Social and Collaborative Networks; Social Issues; Societal Protocols
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Piskorski, Mikolaj J., and Andreea Gorbatai. "Testing Coleman's Social-Norm Enforcement Mechanism: Evidence from Wikipedia." Harvard Business School Working Paper, No. 11-055, December 2010. (Revised September 2011, March 2013.)

    Alexandra C. Feldberg

    Alexandra (Allie) Feldberg is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School.

    Professor Feldberg uses qualitative and quantitative methods to examine intersections between gender,... View Details

    • Article

    How to Use Heuristics for Differential Privacy

    By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
    We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be... View Details
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    Neel, Seth, Aaron Leon Roth, and Zhiwei Steven Wu. "How to Use Heuristics for Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
    • May–June 2021
    • Article

    Capturing Value in Platform Business Models that Rely on User-Generated Content

    By: Hemang Subramanian, Sabyasachi Mitra and Sam Ransbotham
    Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable... View Details
    Keywords: Business Model; Network Effects; Mergers and Acquisitions; Valuation; Risk and Uncertainty
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    Subramanian, Hemang, Sabyasachi Mitra, and Sam Ransbotham. "Capturing Value in Platform Business Models that Rely on User-Generated Content." Organization Science 32, no. 3 (May–June 2021): 804–823.
    • 05 Jul 2006
    • Working Paper Summaries

    Bringing History into International Business

    Keywords: by Geoffrey G. Jones & Tarun Khanna; Financial Services
    • 24 May 2021
    • News

    A Shared Platform for Communicating Bioethics Concepts

    • November 2000
    • Case

    Wit Capital: Evolution of the Online Investment Bank (B)

    Describes the evolution of Wit Capital from its origins as a small brewery to an online investment bank advising both small technology-based companies seeking to raise capital and large companies seeking to acquire Internet companies, as well as offering retail... View Details
    Keywords: Internet and the Web; Disruptive Innovation; Service Delivery; Investment Banking; Entrepreneurship
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    Hallowell, Roger H., and Charles Ruberto. "Wit Capital: Evolution of the Online Investment Bank (B)." Harvard Business School Case 801-265, November 2000.
    • Teaching Interest

    Harvard Business Analytics Program: Operations and Supply Chain Management

    By: Dennis Campbell
    Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product... View Details
    • Research Summary

    Optimal Contracting with Reciprocal Agents

    (with Florian Englmaier) (Job Market Paper)

     Abstract: Empirically, compensation systems often seem to generate substantial effort despite weak incentives. We consider reciprocal motivations as a source of incentives. We solve for the optimal... View Details

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