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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

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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24 Apr 2019
Research & Ideas

The 'Amazon Effect' Is Changing Online Price Competition—and the Fed Needs to Pay Attention

phenomena.” “In a world with online competition, we need to reconsider what makes prices sticky, not just across time but also across locations.” Cavallo focuses on multichannel retailers—those that have an View Details

Keywords: by Roberta Holland; Retail

2007
Working Paper

I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time

By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman

How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details

Keywords: Internet and the Web; Food; Decision Choices and Conditions; Conflict and Resolution; Emotions; Cognition and Thinking; Retail Industry; Food and Beverage Industry

March 2010
Article

I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time

By: Katherine L. Milkman, Todd Rogers and Max Bazerman

How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details

Keywords: Time Management; Service Delivery; Internet and the Web; Decisions; Customers; Retail Industry

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24 Oct 2013
Working Paper Summaries

When $3+$1 > $4: The Effect of Gift Salience on Employee Effort in an Online Labor Market

Keywords: by Duncan Gilchrist, Michael Luca & Deepak Malhotra

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... View Details

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... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

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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2016
Article

Peer-to-Peer Markets

By: Liran Einav, Chiara Farronato and Jonathan Levin

Peer-to-peer markets such as eBay, Uber, and Airbnb allow small suppliers to compete with traditional providers of goods or services. We view the primary function of these markets as making it easy for buyers to find sellers and engage in convenient, trustworthy... View Details

Keywords: Peer-to-peer; Online Platforms; Matching; Innovation; Digital Platforms; Marketplace Matching; Market Design; Internet and the Web; Technology Adoption; Network Effects; Market Entry and Exit

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January 2014 (Revised January 2017)
Case

Nivea (A)

By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar

The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand... View Details

Keywords: Innovation; Innovation Management; Crowdsourcing; Big Data; Innovation Strategy; Innovation and Management; Knowledge Management; Knowledge Sharing; Research and Development; Social and Collaborative Networks; Collaborative Innovation and Invention; Analytics and Data Science; Beauty and Cosmetics Industry; Consumer Products Industry

June 2012 (Revised August 2013)
Case

Driving Towards a Disruption?

By: Willy Shih and William Noble

As Clayton Christensen drove to the studio to deliver an online executive education class, he pondered the future of management education. How big a threat did online degree programs, corporate universities, and other innovations in the delivery of management training... View Details

Keywords: Disruptive Technology; Performance Trajectories; Disruptive Innovations; Business Education; Business School; Internet And Online Services Industries; Disruptive Innovation; Higher Education; Corporate Strategy; Internet; Performance; Education Industry; Boston

May 2021 (Revised February 2024)
Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery

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... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

2019
Working Paper

Real Exchange Rate Behavior: New Evidence from Matched Retail Goods

By: Alberto Cavallo, Brent Neiman and Roberto Rigobon

We use a dataset containing daily prices for thousands of matched retail products in nine countries to study tradable-goods real exchange rates. Prices were collected from the websites of large multi-channel retailers and then carefully matched into narrowly-deﬁned... View Details

Keywords: Purchasing Power Parity; Online Prices; Real Exchange Rate; Macroeconomics; Currency Exchange Rate; Price; Internet and the Web

Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details

Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics

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November–December 2021
Article

Does Gender Matter? The Effect of Management Responses on Reviewing Behavior

By: Davide Proserpio, Isamar Troncoso and Francesca Valsesia

We study the effect of management responses on the reviewing behavior of self-identified female and male reviewers. Using data from Tripadvisor, we show that after hotels begin to respond to reviews, the probability that a negative review comes from a self-identified... View Details

Keywords: Word Of Mouth; Online Reviews; Management Responses; E-commerce; Gender; Prejudice and Bias; Digital Platforms; Customers

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September 2018
Article

Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia

By: Shane Greenstein and Feng Zhu

Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details

Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias

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January 2017 (Revised March 2017)
Case

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen

To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details

Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning

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

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... View Details

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