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May 2020
Article

Inventory Auditing and Replenishment Using Point-of-Sales Data

By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos

Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details

Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods

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January 2021 (Revised March 2021)
Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

August 2020 (Revised September 2020)
Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne

The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details

Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods

Teaching Interest

Overview

By: John A. Deighton

I teach about the ecosystem of big data, the role of data in advertising and creative industries, and customer management and personal privacy in an era of individual addressability. View Details

Keywords: Digital Marketing; Database Marketing; Social Media; Data Analytics; Information; Advertising; Marketing; Media; Technology; Consumer Products Industry; Entertainment and Recreation Industry; Information Technology Industry; Publishing Industry; Media and Broadcasting Industry

April 2015 (Revised March 2017)
Case

Instacart and the New Wave of Grocery Startups

By: John Deighton and Leora Kornfeld

Instacart is testing an Uber-style solution to the challenge of building a home-delivered grocery business. It is backed by $220 million of venture funding. Will this model succeed where businessses like Webvan failed? What are the questions that this exploratory... View Details

Keywords: Food Retailing; Outsourced Grocery Delivery; Online Ordering; Dynamic Pricing; Data Analytics; Marketing Strategy; Food; Distribution Channels; Business Startups; Food and Beverage Industry; California

August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

October 2017 (Revised November 2017)
Case

NYC311

By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick

Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details

September 2015
Case

Deflategate and the National Football League

By: Marco Iansiti and Christine Snively

On January 18, 2015, the New England Patriots faced the Indianapolis Colts in the AFC Championship game. In the second quarter, a Colts player intercepted a pass from Patriots quarterback Tom Brady. Colts equipment personnel alerted NFL officials that the ball's air... View Details

Keywords: ＂Deflategate＂; Analytics; National Football League; NFLPA; Roger Goodell; Tom Brady; Operations; United States

February 2018 (Revised October 2019)
Technical Note

The Art and Science of Brand Valuation

Brand valuation, the art and science of calculating the economic value accruing to a firm from its use of an intangible brand asset, yields frustratingly inconsistent, discrepant, and, therefore, controversial results. While it is widely accepted that brands are... View Details

October 2018
Case

American Family Insurance and the Artificial Intelligence Opportunity

By: Rajiv Lal and Scott Johnson

Article

Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information

By: Santiago Gallino and Antonio Moreno

Using a proprietary data set, we analyze the impact of the implementation of a “buy-online, pick-up-in-store” (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can... View Details

Keywords: Retail Operations; Inventory Availability; Empirical Operations Management; Business Analytics; Online Retail; Ecommerce; Operations; Management; Distribution Channels; Consumer Behavior; E-commerce; Retail Industry

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May 2021 (Revised February 2024)
Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

September 2018
Case

Verisk: Trailblazing in the Big Data Jungle

By: Andrew Wasynczuk, Francesca Gino and Karim Sameh

This case revolves around Verisk Analytics' initiatives to drive innovation throughout the firm's many business verticals. Verisk, originally named ISO, started life as an insurance rating agency in the early 1970s, acting as an intermediary between insurance companies... View Details

Winter 2017
Article

Why Big Data Isn't Enough

By: Sen Chai and Willy C. Shih

There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details

Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory

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Article

Consumer Neuroscience: Advances in Understanding Consumer Psychology

By: Uma R. Karmarkar and Carolyn Yoon

While the study of consumer behavior has been enriched by improved abilities to generate new insights, many of the mechanisms underlying judgments and decision making remain difficult to investigate. In this review, we highlight some of the ways in which our... View Details

Keywords: Consumer Neuroscience; Neuroscience; Neuroeconomics; Consumer Psychology; Customer Behavior; Predictive Analytics; Neural Prediction; Neuroimaging; fMRI; Eye-tracking; Consumer Behavior; Marketing

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Research Summary

Overview

Professor Israeli utilizes econometric methods and field experiments to study pricing and channel management. Her current research examines how the prevalence of the online channel affects both the interactions between manufacturers and their downstream channel... View Details

Keywords: Pricing; Pricing Policies; Channel Management; Online Marketing; Online Retail; Field Experiment; Analytics; Econometric Analysis

Research Summary

Overview

Professor Israeli utilizes econometric methods and field experiments to study pricing and channel management. Her current research examines how the prevalence of the online channel affects both the interactions between manufacturers and their downstream channel... View Details

Keywords: Pricing; Pricing Policies; Channel Management; Online Marketing; Online Retail; Field Experiment; Analytics; Econometric Analysis

February 2017 (Revised June 2017)
Supplement

ExxonMobil: Business as Usual? (B)

By: George Serafeim, Shiva Rajgopal and David Freiberg

The case presents ExxonMobil's response to growing pressure to disclose how climate change will impact their business. This includes multiple asset impairments and losing a proxy vote to shareholders to increase climate change related reporting. Supplements the (B)... View Details

Keywords: Oil ＆ Gas; Oil Prices; Oil Companies; Asset Impairment; Predictive Analytics; Sustainability; Environmental Impact; Innovation; Disclosure; Accounting; Valuation; Energy Sources; Ethics; Corporate Disclosure; Governance Compliance; Climate Change; Financial Reporting; Energy Industry; United States

February 2017 (Revised June 2017)
Case

ExxonMobil: Business as Usual? (A)

By: George Serafeim, Shiva Rajgopal and David Freiberg

Climate change was becoming an important societal and business issue as more governments were introducing climate change related regulations and investors became increasibly worried about stranded assets within oil and gas firms. In September 2016, the U.S. Securities... View Details

Keywords: Oil ＆ Gas; Oil Prices; Oil Companies; Asset Impairment; Predictive Analytics; Sustainability; Environmental Impact; Innovation; Disclosure; Accounting; Valuation; Climate Change; Renewable Energy; Environmental Sustainability; Financial Reporting; Energy Industry

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