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July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value

July 2023
Article

So, Who Likes You? Evidence from a Randomized Field Experiment

By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov

With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details

Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks

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June 2023
Case

The Business of Campaigns

By: Vincent Pons and Mel Martin

In 2022, the U.S. Congress examined the Democracy Is Strengthened by Casting Light on Spending in Elections (DISCLOSE) Act, the latest in a long series of campaign finance reforms. According to its authors, the law would be the “most consequential overhaul of federal... View Details

Keywords: Political Elections; Government Legislation; Governing Rules, Regulations, and Reforms; Business and Government Relations; United States

2023
Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov

Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details

Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior

January 2023
Article

The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance

By: Goran Calic, Rene Arseneault and Maryam Ghasemaghaei

In this study, we explore the impact of Machiavellian rhetoric on fundraising within the increasingly important context of online crowdfunding. The “all-or-nothing” funding model used by the world’s largest crowdfunding platform, Kickstarter, may be an attractive... View Details

Keywords: Crowdfunding; Communication Strategy; Entrepreneurial Finance; Behavior

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2023
Working Paper

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details

Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills

May–June 2023
Article

Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno

The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to... View Details

Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; E-commerce; Internet and the Web; Consumer Behavior; Policy; Retail Industry

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2023
Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson

We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details

Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science

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

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