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- 2021
- Working Paper
Companies’ Responses to Social Activism: A Resource Reconfiguration Perspective
By: Yanhua Bird, Jodi L. Short and Michael W. Toffel
Private politics scholarship portrays companies’ organizational vulnerabilities as opportunities for social activists because they signal openness to change. But meaningful organizational change requires not only openness to change, but capacity to mobilize resources...
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- April 2021
- Case
Buy Online, Pickup in Store: Evaluating an Omnichannel Intervention in Retail
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In October 2018, fashion, wellness, and beauty retailer Sylvarella implemented a Buy Online, Pickup in Store (BOPS) program in an attempt to counteract a sales decline. While BOPS had the potential to meet customer expectations for a seamless order and fulfillment...
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- April 2021
- Supplement
Buy Online, Pickup in Store: Vice President of E-Commerce Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella VP of E-Commerce Charla Limont must review an analysis of her department’s sales data to determine the impact of the company’s Buy Online, Pickup in Store (BOPS) program. The program implementation created significant problems for the...
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- April 2021
- Supplement
Buy Online, Pickup in Store: Vice President of Store Operations Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella VP of Store Operations Axley Vega must review an analysis of her department’s sales data to determine the impact of the company’s Buy Online, Pickup in Store (BOPS) program. BOPS implementation created significant problems for the store...
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- April 2021
- Supplement
Buy Online, Pickup in Store: CEO Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella CEO Sylvia Coparella must assess the impact of the company’s Buy Online, Pickup in Store (BOPS) program on her company’s overall sales. To do so, she must review analyses of both e-commerce and brick-and-mortar sales data and compare the...
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- 2021
- Working Paper
Absenteeism, Productivity, and Relational Contracts Inside the Firm
By: Achyuta Adhvaryu, Jean-François Gauthier, Anant Nyshadham and Jorge Tamayo
We study relational contracts among managers using a unique dataset that tracks transfers of workers across teams in Indian ready-made garment factories. We focus on how relational contracts help managers cope with worker absenteeism shocks, which are frequent, often...
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- April 2021
- Case
StockX: The Stock Market of Things (Abridged)
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust...
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Keywords:
Markets;
Auctions;
Bids and Bidding;
Demand and Consumers;
Consumer Behavior;
Data and Data Sets;
Market Design;
Market Platforms;
Two-Sided Platforms;
Multi-Sided Platforms;
Market Transactions;
Marketplace Matching;
Supply and Industry;
Analysis;
Price;
Product Marketing;
Product Launch;
Apparel and Accessories Industry;
Fashion Industry;
North and Central America;
United States;
Michigan;
Detroit
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...
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- March 17, 2021
- Other Article
Beyond Pajamas: Sizing Up the Pandemic Shopper
By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
While the pandemic is still playing out, our preliminary investigations suggests... View Details
While the pandemic is still playing out, our preliminary investigations suggests... View Details
Keywords:
Retail;
Retail Analytics;
Consumer;
Pandemic;
Covid;
Covid-19;
Apparel;
Ecommerce;
E-commerce;
Online Shopping;
Online Apparel;
Online Sales;
Returns;
Crm;
Customer Retention;
Customer Experience;
Customer Value;
Digital;
Customer Focus and Relationships;
Customers;
Health Pandemics;
Consumer Behavior;
Customer Relationship Management;
Online Technology;
Behavior;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States;
United Kingdom
- February 2021
- Case
Threadless: The Renewal of an Online Community
By: Shane Greenstein, Karim Lakhani and Christian Godwin
Threadless, an online apparel company and artist community which Jake Nickell founded in 2000, continued to maintain its status as a top company in the online apparel industry during its second decade. From 2010 to 2020, Threadless continued to operate its...
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Keywords:
Business Model;
Decision Making;
Entrepreneurship;
Innovation and Invention;
Leading Change;
Management;
Marketing;
Product Launch;
Operations;
Supply Chain;
Distribution;
Networks;
Sales;
Strategy;
Adaptation;
Technology;
Software;
Technology Platform;
Apparel and Accessories Industry;
Technology Industry;
North America
- 2021
- Working Paper
Auditor Independence and Outsourcing: Aligning Incentives to Mitigate Shilling and Shirking
By: Ashley Palmarozzo, Jodi L. Short and Michael W. Toffel
Multinational corporations (MNCs) hire auditors to assess their business partners’ compliance with quality, working conditions, and environmental standards. Independent third-party auditors are widely assumed to outperform second-party auditors employed and thus...
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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...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
Ai;
Ai Algorithms;
Ai Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
＂marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- September 2020
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Promotion;
＂marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-commerce Strategy;
E-commerce;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Data and Data Sets;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised April 2021)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
＂marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-commerce;
E-commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/b Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020
- Teaching Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and...
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- September 2020
- Supplement
Spreadsheet Supplement to "Artea: Designing Targeting Strategies"
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021).
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- September 2020 (Revised April 2021)
- Exercise
Artea (B): Including Customer-level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised April 2021)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised March 2021)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020
- Supplement
Spreadsheet Supplement to Artea (B) and (C)
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting"
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