Artificial Intelligence Risk & Governance By Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS) Executive Summary As financial services firms evaluate the potential applications of artificial intelligence (AI), for example: to enhance the customer experience and garner operational efficiencies, Artificial Intelligence/Machine Learning (AI/ML) Risk and Security ("AIRS")[1] is committed…Read More
Research Papers
Interacting User-Generated Content Technologies: How Questions and Answers Affect Consumer Reviews
AI and Analytics for Business Research Paper Series Interacting User-Generated Content Technologies: How Questions and Answers Affect Consumer Reviews This article studies the question and answer (Q&A) technology of electronic commerce platforms, an increasingly common form of user-generated content that allows consumers to publicly ask product-specific questions and receive responses,…Read More Buying and Payment Habits: Using Grocery Data to Predict Credit Card Payments
AI and Analytics for Business Research Paper Series Buying and Payment Habits: Using Grocery Data to Predict Credit Card Payments This study shows that individuals' habits in grocery shopping are incrementally useful in predicting their credit card payment behaviors and that such incremental predictive power can translate into incremental profits…Read More Understanding Large-Scale Dynamic Purchase Behavior
AI and Analytics for Business Research Paper Series Understanding Large-Scale Dynamic Purchase Behavior In modern retail contexts, retailers sell products from vast product assortments to a large and heterogeneous customer base. Understanding purchase behavior in such a context is very important. Standard models cannot be used because of the high…Read More Uncovering Characteristic Response Paths of a Population
AI and Analytics for Business Research Paper Series Uncovering Characteristic Response Paths of a Population We propose an approach to uncover characteristic response paths of a population from an individual-level multivariate time series dataset. The approach is based on a model that accommodates arbitrary and mixed set of distributions for…Read More All Ads Are Not Created Equal: Display Advertisement’s Copy and Placement Effects on Clicks and Conversions
AI and Analytics for Business Research Paper Series All Ads Are Not Created Equal: Display Advertisement’s Copy and Placement Effects on Clicks and Conversions In today’s media ecosystem, advertisers face the challenge to create ad campaigns with the ability to engage consumers and ultimately increase conversions. Hence, they need guidance…Read More Measuring the Impact of a Single Negative Customer Review on Online Search and Purchase Decisions
AI and Analytics for Business Research Paper Series Measuring the Impact of a Single Negative Customer Review on Online Search and Purchase Decisions How much does a single negative customer review impact online search and purchase behavior? To answer this question, the authors compare choices made by consumers searching for…Read More Leveraging Loyalty Programs Using Competitor Based Targeting
AI and Analytics for Business Research Paper Series Leveraging Loyalty Programs Using Competitor Based Targeting Loyalty programs are widely used by firms but their effectiveness is subject to debate. These programs provide discounts and perks to loyal customers and are costly to administer, and with uncertain effectiveness at increasing spending…Read More Marketing Department Power and Board Interlocks
AI and Analytics for Business Research Paper Series Marketing Department Power and Board Interlocks Although the level of power held by the marketing department can determine key organizational outcomes, including firm performance, this power often is modest and, in many firms, diminishing. To address this apparent disconnect, the authors propose…Read More Principal Stratification for Advertising Experiments
AI and Analytics for Business Research Paper Series Principal Stratification for Advertising Experiments Advertising experiments often suffer from noisy responses making precise estimation of the average treatment effect (ATE) and evaluating ROI difficult. We develop a principal stratification model that improves the precision of the ATE by dividing the customers…Read More