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2022
Article

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 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 are... View Details

Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management

November–December 2022
Article

The Value of Descriptive Analytics: Evidence from Online Retailers

By: Ron Berman and Ayelet Israeli

Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details

Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Marketing; Retail Industry

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September 2022 (Revised November 2022)
Teaching Note

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

Teaching Note for HBS Case No. 522-046. View Details

August 2022
Background Note

Retail Media Networks

By: Eva Ascarza, Ayelet Israeli and Celine Chammas

In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their... View Details

August 2022
Article

The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices

By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John

Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits... View Details

Keywords: Choice; Purchase Intent; Privacy; Privacy Notices; Warnings; Assurances; Information Disclosure; Trust; Consumer Behavior; Spending; Decisions; Information; Communication

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July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales

By: Ayelet Israeli

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

By: Ayelet Israeli

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

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... View Details

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... View Details

Keywords: A/B Testing; Experimentation; Data-driven Culture; Product Development; Innovation and Invention; Digital Transformation

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... View Details

Keywords: In-vehicle User Interfaces; Time-use Study; Automated Vehicles; Knowledge Workers; Commuting

2022
Article

Values and Inequality: Prosocial Jobs and the College Wage Premium

By: Nathan Wilmers and Letian Zhang

Employers often recruit workers by invoking corporate social responsibility, organizational purpose, or other claims to a prosocial mission. In an era of substantial labor market inequality, commentators typically dismiss these claims as hypocritical: prosocial... View Details

Keywords: Corporate Social Responsibility and Impact; Equality and Inequality; Wages; Recruitment

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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... View Details

Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science

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

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

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... View Details

Keywords: Online Platform; Digital Platform; Unemployment; Encouragement Design; Job Search; Jobs and Positions; Internet and the Web; Well-being; Outcome or Result; Digital Platforms; France

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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... View Details

Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce

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2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

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... View Details

Keywords: COVID-19 Pandemic; Health Pandemics; Spending; Internet and the Web; Global Range; Analysis; E-commerce

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. View Details

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