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Show Results For
- All HBS Web
(840)
- News (195)
- Research (536)
- Events (8)
- Multimedia (5)
- Faculty Publications (270)
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- 21 Jan 2020
- Research & Ideas
Lessons for Retailers from the Rebirth of Indie Bookstores
As big box bookstores Barnes & Noble and Borders spread across the landscape in the 1990s, retail observers sounded the death knell for small, independent booksellers. But they had no idea of the onslaught that was coming. Amazon.com... View Details
- March 2021 (Revised February 2025)
- Teaching Note
Afterpay U.S.: The Omnichannel Dilemma
By: Antonio Moreno and Anibha Singh
Teaching Note for HBS Case No. 519-086. In 2018, Nick Molnar, the founder of the Australia-based online payment service Afterpay began its expansion to the U.S. market. The service had gained a loyal following in Australia by enabling customers to pay for online... View Details
Keywords: Omnichannel Retail; Digital Marketing; Business Startups; Business Growth and Maturation; Business Model; Business Organization; For-Profit Firms; Change Management; Customer Value and Value Chain; Customer Relationship Management; Customer Satisfaction; Financing and Loans; Microfinance; Global Strategy; Marketing Strategy; Market Entry and Exit; Digital Platforms; Product Development; Supply Chain Management; Business and Stakeholder Relations; Networks; Network Effects; Internet and the Web; Financial Services Industry; Technology Industry; United States; Australia
- 05 Oct 2015
- Working Paper Summaries
Online Network Revenue Management Using Thompson Sampling
- 24 Apr 2019
- Research & Ideas
The 'Amazon Effect' Is Changing Online Price Competition—and the Fed Needs to Pay Attention
agencies. In 2010, these retailers would keep prices constant for about nine months on average. Today, that timeframe has narrowed to just three months, he says. That acceleration was especially true for categories like electronics and... View Details
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
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; Retail Industry; United States
- August 2009
- Article
Mental Accounting and Small Windfalls: Evidence from an Online Grocer
By: John Beshears and Katherine L. Milkman
We study the effect of small windfalls on consumer spending decisions by comparing the purchases online grocery customers make when redeeming $10-off coupons with the purchases they make without coupons. Controlling for customer fixed effects and other variables, we... View Details
Keywords: Mental Accounting; Windfalls; Marginal Propensity To Consume; Coupons; Marketing Communications; Consumer Behavior; Accounting; Cognition and Thinking; Retail Industry
Beshears, John, and Katherine L. Milkman. "Mental Accounting and Small Windfalls: Evidence from an Online Grocer." Journal of Economic Behavior & Organization 71, no. 2 (August 2009): 384–394.
- 2007
- Working Paper
Mental Accounting and Small Windfalls: Evidence from an Online Grocer
By: Katherine L. Milkman, John Beshears, Todd Rogers and Max H. Bazerman
We study the effect of small windfalls on consumer spending decisions by examining the purchasing behavior of a sample of online grocery shoppers over the course of a year. We compare the purchases customers make when redeeming a $10-off coupon they received from their... View Details
Milkman, Katherine L., John Beshears, Todd Rogers, and Max H. Bazerman. "Mental Accounting and Small Windfalls: Evidence from an Online Grocer." Harvard Business School Working Paper, No. 08-024, September 2007. (Revised March 2008.)
- September 2020
- Article
Customer Supercharging in Experience-Centric Channels
By: David R. Bell, Santiago Gallino and Antonio Moreno
We conjecture that for online retailers, experience-centric offline store formats do not simply expand market coverage, but rather, serve to significantly amplify future positive customer behaviors, both online and offline. We term this phenomenon “supercharging” and... View Details
Keywords: Retail Operations; Marketing-operations Interface; Omnichannel Retailing; Experience Attributes; Quasi-experimental Methods; Operations; Internet and the Web; Marketing Channels; Consumer Behavior; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Customer Supercharging in Experience-Centric Channels." Management Science 66, no. 9 (September 2020).
- Article
Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits
By: David R. Bell, Santiago Gallino and Antonio Moreno
Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details
Keywords: Experience Attributes; Marketing–operations Interface; Omnichannel Retailing; Quasi-experimental Methods; Retail Operations; Showrooms; Marketing Channels; Demand and Consumers; Performance Efficiency; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits." Management Science 64, no. 4 (April 2018): 1629–1651. (Winner of the 2014 POMS Applied Research Challenge. Workshop on Information Systems Economics Overall Best Paper Award 2014.)
- August 2015 (Revised June 2021)
- Case
Amazon.com, 2021
By: John R. Wells, Benjamin Weinstock, Gabriel Ellsworth and Galen Danskin
In February 2021, Amazon announced 2020 operating profits of $22,899 million, up from $2,233 million in 2015, on sales of $386 billion, up from $107 billion five years earlier (see Exhibit 1). The shareholders expressed their satisfaction (see Exhibit 2), but not all... View Details
Keywords: Strategic Analysis; Retail; E-commerce; Amazon; Internet; Amazon.com; AmazonFresh; Jeff Bezos; Cloud Computing; Marketplaces; Streaming; E-reader Market; Digital Media; Mobile App; Online Retail; Shipping; Database; Tablet; Kindle; Kindle Fire; Smartphone; Delivery; Digital Platforms; Competition; Internet and the Web; Corporate Strategy; Digital Marketing; Business Growth and Maturation; Business Model; Business Organization; For-Profit Firms; Film Entertainment; Games, Gaming, and Gambling; Music Entertainment; Television Entertainment; Profit; Revenue; Global Strategy; Multinational Firms and Management; Taxation; Business History; Human Resources; Resignation and Termination; Books; Human Capital; Working Conditions; Business or Company Management; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Practices and Processes; Industry Growth; Industry Structures; Media; Distribution; Distribution Channels; Order Taking and Fulfillment; Infrastructure; Logistics; Product Development; Supply Chain; Supply Chain Management; Organizational Culture; Public Ownership; Work-Life Balance; Problems and Challenges; Labor and Management Relations; Strategy; Adaptation; Business Strategy; Competitive Strategy; Diversification; Expansion; Integration; Horizontal Integration; Vertical Integration; Information Infrastructure; Information Technology; Mobile and Wireless Technology; Price; Applications and Software; Marketing; Marketing Strategy; Working Capital; Customer Focus and Relationships; Customer Value and Value Chain; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; United States; Washington (state, US); Seattle
Wells, John R., Benjamin Weinstock, Gabriel Ellsworth, and Galen Danskin. "Amazon.com, 2021." Harvard Business School Case 716-402, August 2015. (Revised June 2021.)
- January 2021 (Revised March 2021)
- Exercise
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
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; Direct-to-consumer; DTC; Analytics and Data Science; Sales; Marketing; E-commerce; Retail Industry; Retail Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Exercise 521-078, January 2021. (Revised March 2021.)
- May 1998 (Revised March 2004)
- Case
Leadership Online (A): Barnes & Noble vs. Amazon.com
Describes the attempt of a traditional retailer, Barnes & Noble, to counter the challenges posed by an Internet-based start-up, Amazon.com. View Details
Ghemawat, Pankaj, and Bret J. Baird. "Leadership Online (A): Barnes & Noble vs. Amazon.com." Harvard Business School Case 798-063, May 1998. (Revised March 2004.)
- February 2017
- Case
Dick's Sporting Goods
By: Rajiv Lal, Jose B. Alvarez and Matthew G. Preble
Edward Stack, chairman and CEO of Dick’s Sporting Goods (DKS), faced a rapidly changing sporting goods landscape in October 2016. Two large competitors—The Sports Authority and Sport Chalet—had folded earlier that year, and DKS had to contend with increasingly robust... View Details
Keywords: Sporting Goods; Retail; Employees; Growth and Development Strategy; Growth Management; Product Marketing; Demand and Consumers; Consumer Behavior; Product; Service Delivery; Service Operations; Partners and Partnerships; Business Strategy; Competition; Corporate Strategy; Expansion; Internet and the Web; E-commerce; Retail Industry; United States; Pennsylvania
- November 2014
- Case
Taryn Rose Launches Dresr: Street Marketing a Luxury Brand
By: Lena G. Goldberg, Marcel Saucet and Christine Snively
Serial entrepreneur and shoe designer Taryn Rose, M.D., prepared to launch a new e-commerce platform, Dresr, which would connect shoppers with tastemakers online. Dresr would bring the service element found in brick and mortar luxury stores into the online shopping... View Details
- January 2021 (Revised March 2021)
- Exercise
E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... 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; Grocery Delivery; Margins; Analytics and Data Science; Retention; E-commerce; Retail Industry; Retail Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (C): Free Delivery Terms." Harvard Business School Exercise 521-080, January 2021. (Revised March 2021.)
- 2015
- Working Paper
Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy
By: Pavel Kireyev, Vineet Kumar and Elie Ofek
Multichannel retailing has created several new strategic choices for firms. With respect to pricing, an important decision is whether to offer a "self-matching policy." Self-matching allows a multichannel retailer to offer the lowest of its online and in-store prices... View Details
Keywords: Price Self-matching; Multichannel Retailing; Pricing Strategy; Marketing Strategy; Price; Distribution Channels; Supply and Industry; Retail Industry
Kireyev, Pavel, Vineet Kumar, and Elie Ofek. "Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy." Harvard Business School Working Paper, No. 15-058, January 2015.
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... 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; Grocery Delivery; Margins; Retention; Analytics and Data Science; Analysis; Retail Industry; Retail Industry; United States
- 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
Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
- 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
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- May 2021 (Revised August 2021)
- Supplement
Zara: An Integrated Store and Online Model (A) and (B)
By: Antonio Moreno and Anibha Singh