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- All HBS Web (323)
- Faculty Publications (144)
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- 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
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.
- 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.)
- 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.)
- 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
- 05 Jul 2006
- What Do You Think?
How Important Is “Executive Intelligence” for Leaders?
however, must precede executive instinct. That is to say, analytics should tell the story; experience should guide the results." John Pullen posited that "The most effective executives have a unique balance of good leadership... View Details
Keywords: by James Heskett
- 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.)
- 08 Sep 2014
- Research & Ideas
The Strategic Way To Hire a Sales Team
Recruitment and selection are now more important for various reasons. Due to the data and analytical tasks facing many sales forces, productivity ramp-up times have increased. Each hire then represents a bigger sunk cost for a longer... View Details
Keywords: by Carmen Nobel
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions,... View Details
Keywords: by Kristen Senz
- 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.
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 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.
- 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
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- 14 Mar 2017
- First Look
First Look at New Research, March 14
1926–2014 and international sector returns 1985–2014, we present four findings: (1) Fama is correct in that a sharp price increase of an industry portfolio does not, on average, predict unusually low returns going forward; (2) such sharp... View Details
Keywords: Sean Silverthorne
- 19 Apr 2016
- First Look
April 19, 2016
is “liking” simply a symptom of being fond of a brand? We disentangle these possibilities and find evidence for the latter: brand attitudes and purchasing are predicted by consumers’ preexisting fondness for brands and are the same... View Details
Keywords: Sean Silverthorne
- 29 Oct 2019
- Sharpening Your Skills
Robots in the Boardroom
Learning Teaches Us about CEO Leadership StyleResearchers turn to machine-learning technology to look for links between a CEO's communications style and company performance. Use Artificial Intelligence to Set Sales Targets That MotivateUsing AI-based advanced View Details
Keywords: by Sean Silverthorne
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
this laughing matter to the test. In a new study, he used that joke and 32 others to determine whether people or artificial intelligence (AI) could do a better job of predicting which jokes other people consider funny. The question is... View Details
Keywords: by Dina Gerdeman
- 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
- 26 Jun 2018
- First Look
New Research and Ideas, June 26, 2018
hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming expert center on cultivating an analytic mindset. In the present research the authors explore the benefit to enthusiasts of moving... View Details
Keywords: Dina Gerdeman