Publications

SSRN

15 Oct 2019
News

Fighting Poverty With Field Experiments: the Nobel Laureates’ Revolution

2018
Working Paper

Learning to Become a Taste Expert

By: Kathryn A. Latour and John A. Deighton

Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming an expert center on cultivating an analytic mindset. In the present research the authors... View Details

Keywords: Hedonic; Wine; Expertise; Holistic; Analytic; Sensory; Taste; Learning; Experience and Expertise; Analysis; Perception

SSRN

2019
Article

Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading

By: Iavor I Bojinov and Neil Shephard

We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details

Keywords: Causality; Nonparametric; Potential Outcomes; Trading Costs; Mathematical Methods

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Research Summary

Mobile web advertising: maximum entropy banner allocation

The worldwide mobile advertising market, currently $3 billion in size, is expected to grow to $20 billion by 2011. Online and mobile advertising employs two main pricing models: pay-per-click (CPC) and pay-per-impression (CPM). To date, most of the... View Details

19 Sep 2023
HBS Case

How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?

The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can use them wisely are the questions that will dominate the next... View Details

Keywords: by Ben Rand; Technology; Information Technology

2019
Working Paper

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna

We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details

Keywords: Spoken Communication; Business History; Analytics and Data Science; Finance; Performance

August 2023
Article

Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh

Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details

Keywords: AI and Machine Learning; Technological Innovation; Technology Adoption

05 Jul 2006
Working Paper Summaries

Measuring Consumer and Competitive Impact with Elasticity Decompositions

Keywords: by Thomas J. Steenburgh; Advertising

Article

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna

We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details

Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance

August 2020 (Revised December 2020)
Background Note

A Note on Ethical Analysis

By: Nien-hê Hsieh

To engage in ethical analysis is to answer such questions as “What is the right thing to do?” “What does it mean to be a good person?” “How should I live my life?” Ethical analysis, on its own, is often not adequate for doing the right thing or being a good... View Details

Keywords: Ethics; Framework; Decision Making; Prejudice and Bias

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Article

Assent-maximizing Social Choice

By: Katherine A. Baldiga and Jerry R. Green

We take a decision theoretic approach to the classic social choice problem, using data on the frequency of choice problems to compute social choice functions. We define a family of social choice rules that depend on the population's preferences and on the probability... View Details

Keywords: Decision Choices and Conditions; Theory; Measurement and Metrics; Mathematical Methods; Society

2023
Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan

he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details

Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing

April 2019 (Revised April 2021)
Case

Wayfair

By: Jeffrey F. Rayport, Susie L. Ma and Matthew G. Preble

In 2016 Niraj Shah and Steve Conine, founders of online home goods retailer Wayfair, are faced with a decision about how to improve user experience on their e-commerce sites. A key driver of consumer interest and conversion to purchase in the home category is visual... View Details

Keywords: Visual Assets; Corporate Entrepreneurship; Decision Making; Business or Company Management; Growth Management; Innovation and Invention; Operations; Strategy; Technology; Retail Industry; Service Industry; United States; Massachusetts

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March 2022
Article

Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

By: Fiammetta Menchetti and Iavor Bojinov

Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details

Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods

October 2014
Article

The Promise of Positive Optimal Taxation: Normative Diversity and a Role for Equal Sacrifice

By: Matthew Weinzierl

A prominent assumption in modern optimal tax research is that the objective of taxation is Utilitarian. I present new survey evidence that most people disagree with this assumption, preferring tax policies based at least in part on a classic alternative objective: the... View Details

Keywords: Taxation; Theory

June 2012
Article

Managing Risks: A New Framework

By: Robert S. Kaplan and Anette Mikes

Risk management is too often treated as a compliance issue that can be solved by drawing up lots of rules and making sure that all employees follow them. Many such rules, of course, are sensible and do reduce some risks that could severely damage a company. But... View Details

Keywords: Risk Management; Governance Controls; Corporate Strategy; Management Analysis, Tools, and Techniques; Framework

July–August 2024
Article

Disclosing Downstream Emissions

By: Robert S. Kaplan and Karthik Ramanna

An increasing number of companies are using the E-liability carbon-accounting method as an important tool for tracking progress toward reducing global emissions in their supply chains. The system does not require formal accounting for downstream emissions—those... View Details

Keywords: Carbon Emissions; Environmental Accounting; Corporate Accountability; Corporate Social Responsibility and Impact; Corporate Disclosure; Environmental Sustainability