Publications

Research Summary

Overview

By: Ayelet Israeli

Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details

Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data

26 Mar 2024
Research & Ideas

How Humans Outshine AI in Adapting to Change

the flexibility of AI versus humans in adjusting to new situations, the authors set up four video games, outlining certain tasks for humans and several popular game-playing AI algorithms to complete. The tasks tested the players’ ability... View Details

Keywords: by Rachel Layne; Technology; Information Technology

29 Jun 2011
Working Paper Summaries

Better-reply Dynamics in Deferred Acceptance Games

Keywords: by Guillaume Haeringer & Hanna Halaburda

2024
Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler

Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details

Keywords: AI and Machine Learning; Refugees; Employment

January 2024 (Revised February 2024)
Course Overview Note

Managing Customers for Growth: Course Overview for Students

By: Eva Ascarza

Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details

Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry

At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation processes have so far been... View Details

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

June 2020
Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha

By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details

Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers

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2017
Working Paper

The Need for Speed: Effects of Uncertainty Reduction in Patenting

By: Mike Horia Teodorescu

Patents are essential in commerce to establish property rights for ideas and to give equal protection to firms that develop new technologies. Young firms especially depend on the protection of intellectual property to bring a product from concept to market. However,... View Details

Keywords: Startups; Natural Language Processing; Machine Learning; Patents; Business Startups; Risk and Uncertainty; Outcome or Result; Green Technology Industry

July 2011
Article

Kidney Paired Donation

By: C. Bradley Wallis, Kannan P. Samy, Alvin E. Roth and Michael A. Rees

Kidney paired donation (KPD) was first suggested in 1986, but it was not until 2000 when the first paired donation transplant was performed in the U.S. In the past decade, KPD has become the fastest growing source of transplantable kidneys, overcoming the barrier faced... View Details

Keywords: Philanthropy and Charitable Giving; Health Care and Treatment; Growth and Development Strategy; Success; Problems and Challenges; Programs; System; United States

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October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

Educators

March 2011 (Revised December 2012)
Case

Demand Media

By: John Deighton and Leora Kornfeld

Google search had helped Demand Media grow to be a $1.9 billion online publisher. Then, social media and smartphone apps began to change the way people navigated the Internet. How should Demand Media respond? The business ran on a radically new model in which a stable... View Details

Keywords: Business Model; Information Publishing; Consumer Behavior; Customization and Personalization; Internet and the Web; Publishing Industry

Educators

Web

Marketing - Faculty & Research

Marketing Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students Featured Publication Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb By: Shunyuan... View Details

27 Oct 2016
HBS Seminar

Andrea Pratt, Richard Paul Richman Professor of Business and Professor of Economics, Columbia University

Article

Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

By: Kaivalya Rawal and Himabindu Lakkaraju

As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details

Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods

2016
Working Paper

Foreign Competition and Domestic Innovation: Evidence from U.S. Patents

By: David Autor, David Dorn, Gordon H. Hanson, Pian Shu and Gary Pisano

Manufacturing is the locus of U.S. innovation, accounting for more than three quarters of U.S. corporate patents. The rise of import competition from China has represented a major competitive shock to the sector, which in theory could benefit or stifle innovation. In... View Details

Keywords: Patents; Competition; System Shocks; Trade; Innovation and Invention; Manufacturing Industry; China; United States

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05 Sep 2013
Working Paper Summaries

Performance Responses to Competition Across Skill-Levels in Rank Order Tournaments: Field Evidence and Implications for Tournament Design

Keywords: by Kevin J. Boudreau, Constance E. Helfat, Karim R. Lakhani & Michael E. Menietti.

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

December 2022 (Revised June 2023)
Case

Hacking the U.S. Election: Russia's Misinformation Campaign

By: Shikhar Ghosh

The case discusses the relatively low technology approach used by Russia to influence the U.S. Presidential Election in 2016. Although political parties manipulating the media was not a new phenomenon, the Russians ran a broad, well-financed, and sophisticated social... View Details

Keywords: Political Elections; International Relations; Social Media; Power and Influence; Information; Russia; United States

Educators