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- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli
Keywords:
Data Analysis;
Data Analytics;
CPG;
Consumer Packaged Goods (CPG);
Estimation;
Online Channel;
Retail Analytics;
Retail;
Retailing Industry;
Data;
Data Sharing;
Bricks And Mortar;
Ecommerce;
Analytics and Data Science;
Analysis;
Sales;
Goods and Commodities;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli
Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Analytics and Data Science;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
E-commerce;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli
Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Analytics and Data Science;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
E-commerce;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Teaching Note
eGrocery and the Role of Data and E-Commerce Analytics for CPG Firms
By: Ayelet Israeli
Teaching Note for HBS Case No. 521-077.
View Details
Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Analytics and Data Science;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
E-commerce;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Teaching Note
Arçelik (A), (B): From a Dealer Network to an Omnichannel Experience
By: Ayelet Israeli, Fares Khrais and Menna Hassan
Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in...
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Keywords:
Digital Marketing;
Bricks And Mortar;
Franchise Management;
Franchising;
Dealer Network;
Dealers;
B2B;
B2B2C;
Tradition;
Culture Change;
Cultural Adaptation;
Omnichannel;
Omnichannel Retail;
Omni-channel;
Omnichannel Retailing;
Sales Channels;
Sales Channel Development;
Channel Management;
Channels Of Distribution;
Marketplace;
Platforms;
Collaboration;
Online Channel;
Online Data;
Online Sales;
Online Shopping;
Online;
Retail;
Retailing;
Disruption;
Transformation;
Franchise Ownership;
Change Management;
Partners and Partnerships;
Consumer Behavior;
Sales;
Internet and the Web;
Marketing Strategy;
Conflict and Resolution;
Conflict Management;
Organizational Culture;
Distribution Channels;
Digital Transformation;
Electronics Industry;
Retail Industry;
Consumer Products Industry;
Turkey
- Article
Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
By: Iavor Bojinov and Somit Gupta
In the past decade, online controlled experimentation, or A/B testing, at scale has proved to be a significant driver of business innovation. The practice was first pioneered by the technology sector and, more recently, has been adopted by traditional companies...
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- Article
Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses
By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a...
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- 2022
- Working Paper
Small Campaign Donors
By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and...
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- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
- 2022
- Working Paper
Can a Website Bring Unemployment Down? Experimental Evidence from France
By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was...
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- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue...
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- 2022
- Working Paper
E-commerce During COVID: Stylized Facts from 47 Economies
By: Joel Alcedo, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra and Antonio Spilimbergo
We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased...
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- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- 2021
- Working Paper
Who Benefits from Online Gig Economy Platforms?
By: Christopher Stanton and Catherine Thomas
This paper estimates the magnitude and distribution of surplus from the knowledge worker gig economy using data from an online labor market. Labor demand elasticities determine workers’ wages, and buyers’ past market experience shapes both their job posting frequency...
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- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
View Details
Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
AI;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- 2021
- Working Paper
How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home (WFH) during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973...
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- September 2021
- Article
Joint Problem-solving Orientation in Fluid Cross-boundary Teams
By: Michaela J. Kerrissey, Anna T. Mayo and Amy C. Edmondson
Using interviews, a national field survey, and an online laboratory study, we have examined teamwork in fluid cross-boundary teams. Across three studies, we qualitatively discovered and quantitatively explored "joint problem-solving orientation" as a new team factor....
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- 2022
- Working Paper
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability to construct a direct high-frequency measure of consumer product shortages during the 2020–2022 pandemic. We document a widespread multi-fold rise in shortages in nearly all sectors early in the pandemic. Over...
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- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to...
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