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  • All HBS Web  (1,961)
    • People  (2)
    • News  (215)
    • Research  (1,360)
    • Events  (15)
    • Multimedia  (13)
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  • 2022
  • Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
Keywords: Analytics and Data Science; Research
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Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
  • 2012
  • Working Paper

Author-Level Eigenfactor Metrics: Evaluating the Influence of Authors, Institutions and Countries within the SSRN community

By: Jevin D. West, Michael C. Jensen, Ralph J. Dandrea, Gregg Gordon and Carl T. Bergstrom
In this paper, we show how the Eigenfactor® score, originally designed for ranking scholarly journals, can be adapted to rank the scholarly output of authors, institutions, and countries based on author-level citation data. Using the methods described herein, we... View Details
Keywords: Body of Literature; Measurement and Metrics; Networks; Rank and Position; Research; Motivation and Incentives
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West, Jevin D., Michael C. Jensen, Ralph J. Dandrea, Gregg Gordon, and Carl T. Bergstrom. "Author-Level Eigenfactor Metrics: Evaluating the Influence of Authors, Institutions and Countries within the SSRN community." Harvard Business School Working Paper, No. 12-068, February 2012.
  • 10 Aug 2015
  • Research & Ideas

New Medical Devices Get To Patients Too Slowly

innovator. By contrast, previous research by Harvard's David Carpenter and others found that first movers in new chemical drug categories typically receives the fastest FDA approval, with every follow-on drug in the same category taking... View Details
Keywords: by Michael Blanding; Health; Technology
  • October 2014
  • Article

The Promise of Positive Optimal Taxation: Normative Diversity and a Role for Equal Sacrifice

By: Matthew Weinzierl
A prominent assumption in modern optimal tax research is that the objective of taxation is Utilitarian. I present new survey evidence that most people disagree with this assumption, preferring tax policies based at least in part on a classic alternative objective: the... View Details
Keywords: Taxation; Theory
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Weinzierl, Matthew. "The Promise of Positive Optimal Taxation: Normative Diversity and a Role for Equal Sacrifice." Journal of Public Economics 118 (October 2014): 128–142. (Also NBER Working Paper Series, No. 18599.)
  • July 2006
  • Article

Bringing History (Back) into International Business

By: G. Jones and Tarun Khanna
We argue that the field of international business should evolve its rhetoric from the relatively uncontroversial idea that 'history matters' to exploring how it matters. We discuss four conceptual channels through which history matters, illustrating each with a major... View Details
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Jones, G., and Tarun Khanna. "Bringing History (Back) into International Business." Journal of International Business Studies 37, no. 4 (July 2006): 453–468.
  • Research Summary

Self-environment relationship and its effect on decisions under risk and uncertainty

My research seek to better understand the main cognitive and social abilities that guide our judgments, and the ways they interact with aspects of the situation to shape humans' decisions. It is currently comprised of three related... View Details

  • October 2021
  • Article

Directors' Perceptions of Board Effectiveness and Internal Operations

By: J. Yo-Jud Cheng, Boris Groysberg, Paul M. Healy and Rajesh Vijayaraghavan
We contribute to the growing literature on the effectiveness of corporate boards by examining the effect of two insights that have been largely unexplored in prior studies that use public data. First, since boards’ responsibilities are wide-ranging, more holistic... View Details
Keywords: Boards Of Directors; Corporate Governance; Governing and Advisory Boards; Performance Effectiveness; Perception
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Cheng, J. Yo-Jud, Boris Groysberg, Paul M. Healy, and Rajesh Vijayaraghavan. "Directors' Perceptions of Board Effectiveness and Internal Operations." Management Science 67, no. 10 (October 2021): 6399–6420.
  • Article

Learning Models for Actionable Recourse

By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • Research Summary

The Unexpected Effects of Workplace Transparency

By: Ethan S. Bernstein

Workplace transparency provides a foundation for learning and control, and therefore for satisfaction and productivity. Yet my research shows that an obsession with transparency-enhancing tools and structures can backfire, producing the unintended consequences of... View Details

Keywords: Transparency; Privacy; Productivity; Field Experiments; Organizational Design; Organizational Structure; Behavior; Social and Collaborative Networks; Human Resources; Leadership; United States; Europe; China; Japan
  • 25 May 2021
  • Research & Ideas

White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

percent. "One thing we can say: The algorithm is race-blind." By relying on intuition and other methods to set rates, many hosts of all backgrounds were overpricing their properties. The research team found... View Details
Keywords: by Lane Lambert; Technology; Accommodations
  • December 2019
  • Technical Note

Technical Note on Bayesian Statistics and Frequentist Power Calculations

By: Amitabh Chandra and Ariel Dora Stern
This Technical Note provides an introduction to Bayes’ Rule and the statistical intuition that stems from it. In this note, we review the concepts that underlie Bayesian statistics, and we offer several simple mathematical examples to illustrate applications of Bayes’... View Details
Keywords: Bayesian Statistics; Mathematical Methods
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Chandra, Amitabh, and Ariel Dora Stern. "Technical Note on Bayesian Statistics and Frequentist Power Calculations." Harvard Business School Technical Note 620-032, December 2019.
  • September 1974 (Revised April 1975)
  • Case

Ocean Spray Cranberries, Inc. (A)

At the conclusion of a small-scale pilot survey, management must decide whether to invest in a larger survey or terminate the project. The objective of the study is to use psychographic measurement techniques to study the alternative positions of cranberry sauce.... View Details
Keywords: Surveys; Product Positioning; Mathematical Methods; Agriculture and Agribusiness Industry; Food and Beverage Industry
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DeBruicker, F., and Jan-Erik Modig. "Ocean Spray Cranberries, Inc. (A)." Harvard Business School Case 575-039, September 1974. (Revised April 1975.)
  • January 2009
  • Journal Article

The Fiscal Impact of High-skilled Emigration: Flows of Indians to the U.S.

By: Mihir Desai, D. Kapur, J. McHale and K Rogers
Easing immigration restrictions for the highly skilled in developed countries portends a future of increased human capital outflows from developing countries. The myriad consequences of these developments for developing countries include the direct loss of the fiscal... View Details
Keywords: Talent and Talent Management; Diasporas; Developing Countries and Economies; Taxation; Compensation and Benefits; Human Capital; Mathematical Methods; India; United States
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Desai, Mihir, D. Kapur, J. McHale, and K Rogers. "The Fiscal Impact of High-skilled Emigration: Flows of Indians to the U.S." Journal of Development Economics 88, no. 1 (January 2009).
  • 23 Sep 2013
  • Working Paper Summaries

Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs

Keywords: by Juan Alcácer, Wilbur Chung, Ashton Hawk & Gonçalo Pacheco-de-Almeida
  • 2015
  • Chapter

Consumer Neuroscience: Revealing Meaningful Relationships Between Brain and Consumer Behavior

By: Hilke Plassmann and Uma R. Karmarkar
The goal of this chapter is to give an overview of the nascent field of consumer neuroscience and discuss when and how it is useful to integrate the "black box" of the consumer's brain into consumer psychology. To reach this goal, we first briefly outline several... View Details
Keywords: Consumer Behavior; Cognition and Thinking
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Plassmann, Hilke, and Uma R. Karmarkar. "Consumer Neuroscience: Revealing Meaningful Relationships Between Brain and Consumer Behavior." Chap. 6 in The Cambridge Handbook of Consumer Psychology, edited by Michael I. Norton, Derek D. Rucker, and Cait Lamberton, 152–179. New York: Cambridge University Press, 2015.
  • Article

Statistical Physics of Human Cooperation

By: Matjaž Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti and Attila Szolnoki
Extensive cooperation among unrelated individuals is unique to humans, who often sacrifice personal benefits for the common good and work together to achieve what they are unable to execute alone. The evolutionary success of our species is indeed due, to a large... View Details
Keywords: Human Cooperation; Evolutionary Game Theory; Public Goods; Reward; Punishment; Tolerance; Self-organization; Pattern Formation; Cooperation; Behavior; Game Theory
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Perc, Matjaž, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti, and Attila Szolnoki. "Statistical Physics of Human Cooperation." Physics Reports 687 (May 8, 2017): 1–51.
  • 2022
  • Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
  • 11 Jan 2010
  • Research & Ideas

Mixing Open Source and Proprietary Software Strategies

product used in econometrics, is a good example of this. “Our research plainly shows that value creation doesn't necessarily lead to value capture.” In cases where values are intermediate, we find that the firm prefers to open the core... View Details
Keywords: by Julia Hanna; Web Services
  • 22 Jan 2014
  • Working Paper Summaries

Separating Homophily and Peer Influence with Latent Space

Keywords: by Joseph P. Davin, Sunil Gupta & Mikołaj Jan Piskorski
  • 23 Apr 2018
  • Research & Ideas

Sponsorship Programs Could Actually Widen the Gender Gap

well, too. Sponsorship is a pretty new concept, but it’s becoming more popular, especially in professional service firms.” Sponsorship programs are meant to boost confidence among protégés, increasing the likelihood that they will compete more effectively against their... View Details
Keywords: by Carmen Nobel
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