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  • 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
  • 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
  • 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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  • 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
  • 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
  • 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
  • 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
  • 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
  • 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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  • 11 Apr 2024
  • News

Mission Control

analytical work. I did a piece of research that uncovered or discovered the equivalence to Moore's law from the computer industry in the space industry. And I had full understanding of how Moore's law, 2x performance every two years, had... View Details
  • 16 May 2000
  • Research & Ideas

Getting the Message: How the Internet is Changing Advertising

according to Forrester Research, a consulting firm specializing in e-commerce. Industry observers are shy to predict just what the future of advertising will look like, but they agree that the pace and enormity of changes that have come... View Details
Keywords: by Susan Young
  • 02 May 2022
  • What Do You Think?

Can the Case Method Survive Another Hundred Years?

source of criticism from those preferring research based on large data bases of quantitative information and advanced analytic techniques. "It can be a living hell for some distinguished CEOs returning to the School thinking that they can... View Details
Keywords: by James Heskett; Education
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Related
  • Web

Business Economics Online Course | HBS Online

Harvard Business School offers to incoming students. I majored in engineering and minored in economics as an undergraduate, but the content of Business Analytics and Economics for Managers showed me new ways for using the theoretical... View Details
  • Web

Marketing Awards & Honors - Faculty & Research

Award from the American Marketing Association for “Adding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities over Time” ( Journal of Marketing , 2012) with Thomas Steenburgh, John Deighton, and Mary Caravella. Julian... View Details
  • 03 May 2022
  • Research & Ideas

Desperate for Talent? Consider Advancing Your Own Employees First

Job openings in the United States continue to hover at record high levels, exacerbated by the Great Resignation and a sputtering emergence from the pandemic. Competition remains fierce among companies struggling to find qualified workers. Yet many employers,... View Details
Keywords: by Rachel Layne
  • Web

Entrepreneurial Management Awards & Honors - Faculty & Research

Uneven Impact of Generative AI on Entrepreneurial Performance” with Nicholas Otis, Rowan Clarke, Solène Delecourt, and David Holtz. Rembrand M. Koning : Winner of the 2024 Wharton People Analytics White Paper Competition for “The Uneven... View Details
  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Mitigating Privacy Risks of Algorithmic Recourse.” Michael Lingzhi Li : Named Edelman Laureate in 2022 by the Institute for Operations Research and the Management Sciences (INFORMS) for “Data-Driven COVID-19 Vaccine Development for Janssen” ( INFORMS Journal on Applied... View Details
  • Web

2022 Reunion Presentations - Alumni

and is well worth the effort. Slides Predicting Market Bubbles and Financial Crises Professor Robin Greenwood + More Info – Less Info Over the past decade, researchers at Harvard Business School, through the Behavioral Finance and... View Details
  • 01 Oct 1997
  • News

High Fives

many stocks in a lot of countries and weighting the countries more or less equally. It's simply too difficult to predict which market's going to be down 67 percent and which one's going to be up 102 percent in any given year.” Biggest... View Details