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Publications

Publications

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Filter Results: (314) Arrow Down Arrow Up

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  • All HBS Web  (314)
    • News  (43)
    • Research  (242)
    • Events  (4)
  • Faculty Publications  (144)

Show Results For

  • All HBS Web  (314)
    • News  (43)
    • Research  (242)
    • Events  (4)
  • Faculty Publications  (144)
← Page 8 of 314 Results →
  • 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
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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

Podcast - Business & Environment

leading NASA Acres, which focuses on U.S. agriculture. She explains how AI and satellite technology are changing the agricultural sector, offering solutions ranging from crop yield prediction to regenerative farming practices. Alyssa also... View Details
  • 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
Keywords: Analytics and Data Science; Mathematical Methods
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Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
  • 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
  • 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
Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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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.)
  • 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
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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.
  • 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
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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.)
  • Web

Business Fundamentals Course - CORe | HBS Online

business decisions Implement analytical techniques in Excel Develop effective pricing strategies Identify sources of competitive advantage through differentiation Evaluate the financial health of a business using financial statements... View Details
  • Web

Financial Accounting Online Course | HBS Online

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 value... View Details
  • 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
  • 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
  • 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
  • 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
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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).
  • 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
  • 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
  • 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
  • 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
  • 01 Jun 2023
  • News

Curb Appeal

cuts that eviscerated core services such as street sweeping and litter-bin collection. The results were both predictable and unpleasant: a “visibly filthier” city, to use Tisch’s phrase, and an exploding rat problem. The funding and... View Details
Keywords: Alexander Gelfand; photography by Vance Jacobs; Justice, Public Order, and Safety Activities; Government
  • 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.
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