Publications

2019
Working Paper

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details

Keywords: Machine Learning; Technological Innovation; Marketing; AI and Machine Learning

SSRN

Read Now

December 18, 2023
Article

Are Everywhere Stores the New Face of Retail?

By: David R. Bell, Santiago Gallino and Antonio Moreno

Historically, customer engagement and product fulfillment occurred in the same place — a traditional retail store. But today, retailers are beginning to explore how they can create opportunities for customers to engage with products in native environments. A related... View Details

Keywords: Customer Focus and Relationships; Consumer Behavior; Distribution; Logistics; Retail Industry

Register to Read

18 Apr 2007
HBS Case

How Magazine Luiza Courts the Poor

"Magazine Luiza: Building a Retail Model of 'Courting the Poor.'" "Magazine Luiza has made a business of targeting the bottom of the pyramid and is beloved as a company by employees and customers alike," Frei says.... View Details

Keywords: by Julia Hanna; Retail

Article

Using Gen AI for Early-Stage Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe

Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details

Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry

Register to Read

February 2001 (Revised September 2005)
Case

Howard Schultz and Starbucks Coffee Company

By: Nancy F. Koehn

Investigates the entrepreneur's strategic initiatives to develop a mass market for specialty coffee in the 1980s and 1990s. These initiatives included the development of premium products, rapid expansion of company-owned stores--each with attractive retail environments... View Details

Keywords: Entrepreneurship; Groups and Teams; Brands and Branding; Growth Management; Employee Relationship Management; Consumer Behavior; Organizational Design; Leadership Style; Customer Relationship Management; Competitive Advantage; Vertical Integration; Food and Beverage Industry

17 Mar 2021
Research & Ideas

Beyond Pajamas: Sizing Up the Pandemic Shopper

When working professionals were shifting to home offices a year ago as COVID-19 was spreading, comedians and pundits predicted that people would no longer need bras and pants that aren’t stretchy. Instead customers would make room for... View Details

Keywords: by Ayelet Israeli, Eva Ascarza, and Laura Castrillo; Retail

2008
Working Paper

Organizational Design and Control across Multiple Markets: The Case of Franchising in the Convenience Store Industry

By: Dennis Campbell

Many companies operate units which are dispersed across different types of markets, and thus serve significantly diverging customer bases. Such market-type dispersion is likely to compromise the headquarters' ability to control its local managers' behavior and... View Details

Keywords: Business Headquarters; Customer Focus and Relationships; Geographic Location; Governance Controls; Organizational Design; Franchise Ownership; Retail Industry

05 May 2003
Research & Ideas

Sharing the Responsibility of Corporate Governance

resolved it. Since past behavior is the best indicator of future behavior, the board should ask candidates what concrete steps they took in their prior job to ensure that senior and lower-level managers were conducting the business with... View Details

Keywords: by Carla Tishler

June 2024
Case

SnapTravel: Betting on 'Super.com'

By: Reza Satchu and Tom Quinn

This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel... View Details

May 2017 (Revised March 2018)
Case

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery

CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details

February 2021 (Revised May 2021)
Case

SafeGraph: Selling Data as a Service

By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover

Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on... View Details

Keywords: Data As A Service; Monetization; Pricing; Business Startups; Analytics and Data Science; Consumer Behavior; Analysis; Business Model; Health Pandemics; Information Industry; United States

October 2024
Article

Canary Categories

By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester

Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details

Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry

Find at Harvard