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- Faculty Publications (148)
Show Results For
- All HBS Web (319)
- Faculty Publications (148)
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 18 Apr 2017
- First Look
First Look at New Ideas, April 18
interest rates than predicted by the standard expectations hypothesis. We find that, since 2000, such high-frequency "excess sensitivity" remains evident in U.S. data and has, if anything, grown stronger. By contrast, the positive... View Details
Keywords: by Sean Silverthorne
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- Web
Strategy Curriculum - Faculty & Research
competitive position. Students learn to: Develop a mastery of a body of analytical tools and the ability to take an integrative point of view. Use these tools to perform in-depth analyses of industries and competitors, View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- Web
Finance - Faculty & Research
mechanism that amplifies interest rate volatility. I find strong support for these predictions in the time series of US government bond returns. 2014 Working Paper Financial Repression in the European Sovereign Debt Crisis By: Bo Becker... View Details
- 21 May 2013
- First Look
First Look: May 21
Publications 2006 Harvard Business Review Press Keeping Up with the Quants: Your Guide to Understanding and Using Analytics By: Davenport, Thomas H., and Jinho Kim Abstract—Managers today need to be able to analyze and make sense of... View Details
Keywords: Sean Silverthorne
- Web
Business Fundamentals Course - CORe | HBS Online
exam Self-Paced with regular deadlines This course earns you a Credential of Readiness from HBS Online. What you earn . Overview Syllabus Enrollment Stories FAQs Apply Now Key Concepts Analyze and interpret data to inform business decisions Implement View Details
- Web
Technology & Innovation - Faculty & Research
software platform; investing in software development capabilities; building advanced analytics capabilities; and embracing crowd-based product development. With all this, GE is evolving its business model. Now, for example, revenue from... View Details
- Web
Profiles - MBA
intersection of technology and business Last summer, I worked for a startup that developed machine learning models for health insurance companies and for online pricing. I was inspired by how they were able to dramatically impact industries in which View Details
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- 2015
- Working Paper
Online Word of Mouth and Product Review Disagreement
By: Frank Nagle and Christoph Riedl
Studies of online word of mouth have frequently posited―but never systematically conceptualized and explored―that the level of disagreement between existing product reviews can impact the volume and the valence of future reviews. In this study we develop a theoretical... View Details
Keywords: Online Word Of Mouth; Online Communities; Viral Marketing; Online Product Reviews; Quality; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Social and Collaborative Networks; Digital Marketing; Analytics and Data Science
Nagle, Frank, and Christoph Riedl. "Online Word of Mouth and Product Review Disagreement." Harvard Business School Working Paper, No. 13-091, May 2013. (Revised May 2015, selected for AOM Best Paper Proceedings.)
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- Web
Financial Accounting Online Course | HBS Online
the financial state and strategy of a business 8.5 hrs Module 7 Accounting for the Future Use financial forecasting to predict future revenue, expenses, and cash flow and understand key concepts and metrics in valuation, including time... View Details
- Web
Health Care - Faculty & Research
top U.S. health administration schools and a recent article in the Lancet, our educational systems focus their curricula on isolated,theoretical subjects, such as analytics and quantitative problem solving, rather than the team-oriented,... View Details
- 01 Aug 2022
- What Do You Think?
Does Religious Belief Affect Organizational Performance?
its usual ugly head as an analytic tool here, but there are other efforts in this relatively careful study to associate cause with effect. Putting those concerns aside, the value of this research, like other serious efforts, is most often... View Details
Keywords: Re: James L. Heskett
- 18 Jan 2016
- Research & Ideas
Hazard Warning: The Unacceptable Cost of Toxic Workers
supplies to disrespectful behavior, falsifying documents, bullying people, and sexual harassment, and what I’m observing are those people who are actually terminated,” Minor says. “If you’re overconfident, you think you’re less likely to be caught. That’s very View Details
Keywords: by Roberta Holland
- 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
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.
- 01 Jun 2023
- News
Curb Appeal
Jessica Tisch (JD/MBA 2008) has a problem. And she couldn’t be happier about it. It’s a chilly February morning in Lower Manhattan, and Tisch, who was appointed commissioner of the Department of Sanitation (DSNY) last April, has only hours to pivot the world’s largest... View Details
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
World. The book’s authors, Harvard Business School Professors Marco Iansiti and Karim R. Lakhani, say Peloton is just one example of how digital technologies such as analytics and artificial intelligence (AI) are fundamentally shifting... View Details
Keywords: by Dina Gerdeman