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Show Results For
- All HBS Web
(882)
- People (1)
- News (165)
- Research (617)
- Events (6)
- Multimedia (1)
- Faculty Publications (213)
- 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
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
- 12 Mar 2018
- Working Paper Summaries
Using Online Prices for Measuring Real Consumption Across Countries
- May 2015
- Case
Pricing in a Digital World (2015)
By: John Gourville
Dynamic pricing, especially as practiced by Uber and Lift, seems to be all the rage. In this case, we look at five interesting applications of dynamic price and price customization, each made possible by advances in digital technology. These range from the online... View Details
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- 30 May 2018
- Research & Ideas
Should Retailers Match Their Own Prices Online and in Stores?
The line gets blurry for shoppers when retailers won't honor their online prices in-store. (Kwangmoozaa) While shopping for my 10-year-old daughter’s Halloween costume last October, I pulled out my... View Details
- July–August 2020
- Article
Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market
By: Lingling Zhang and Doug J. Chung
The prevalence of online platforms opens new doors to traditional businesses for customer reach and revenue growth. This research investigates platform choice in a setting where prices are determined by negotiations between platforms and businesses. We compile a unique... View Details
Keywords: Business-to-business Marketing; Platform Competition; Two-Sided Markets; Price Bargaining; Daily Deals; Structural Model; Digital Platforms; Competition; Price; Negotiation
Zhang, Lingling, and Doug J. Chung. "Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market." Marketing Science 39, no. 4 (July–August 2020): 687–706.
- December 2019
- Article
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Marketing; Consumer Behavior; Strategy; Price; E-commerce; Retail Industry; Fashion Industry
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 56, no. 6 (December 2019): 944–959.
- 2021
- Case
NiPay's Pricing Conundrum
By: Marco Bertini and Oded Koenigsberg
NiPay is a software provider competing in the Nigerian business-to-business payments market. Founded by Idaku Ibrahim nearly 20 years ago, NiPay sells two products to retailers and other merchants, which enable individual shoppers to transact either online or via a... View Details
Bertini, Marco, and Oded Koenigsberg. "NiPay's Pricing Conundrum." London Business School Case, 2021. Electronic.
- 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
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; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- Fall 2014
- Article
Seesaws and Social Security Benefits Indexing
The price indexation of Social Security benefit payments has emerged in recent years as a flashpoint of debate in the United States. I characterize the direct effects that changes in that price index would have on retirees who differ in their initial wealth at... View Details
Weinzierl, Matthew. "Seesaws and Social Security Benefits Indexing." Brookings Papers on Economic Activity (Fall 2014): 137–196.
- 2022
- Working Paper
Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market
By: Zach Y. Brown, Mark Egan, Jihye Jeon, Chuqing Jin and Alex A. Wu
Index funds are one of the most common ways investors access financial markets and are perceived to be a transparent and low-cost alternative to active investment management. Despite these purported virtues of index fund investing and the introduction of new products... View Details
Keywords: Mutual Funds; Passive Investing; Asset Management; Financial Markets; Investment Funds; Financial Management; Financial Services Industry; United States
Brown, Zach Y., Mark Egan, Jihye Jeon, Chuqing Jin, and Alex A. Wu. "Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market." Harvard Business School Working Paper, No. 24-019, October 2023. (NBER Working Paper Series, No. 31778, October 2023.)
- September–October 2018
- Article
Online MAP Enforcement: Evidence from a Quasi-Experiment
By: Ayelet Israeli
This paper investigates a manufacturer’s ability to influence compliance rates among its authorized online retailers by exploiting changes in the Minimum Advertised Price (MAP) policy and in dealer agreements. MAP is a pricing policy widely used by manufacturers to... View Details
Keywords: Pricing Policies; Pricing; Channel Management; Legal Aspects Of Business; Retail; Price; Policy; Governance Compliance; Distribution Channels; Management; Retail Industry
Israeli, Ayelet. "Online MAP Enforcement: Evidence from a Quasi-Experiment." Marketing Science 37, no. 5 (September–October 2018): 710–732.
- 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.
- 2019
- Working Paper
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: E-commerce; Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Consumer Behavior; Price; Search Technology
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Harvard Business School Working Paper, No. 19-080, January 2019.
- January–March 2000
- Article
Un nuevo índice de precios para México, 1886-1929 [A New Price Index for Mexico, 1886-1929]
By: Aurora Gómez-Galvarriato and Aldo Musacchio
We present new price indices for the period 1886-1929. These indices have several advantages with respect to the previous ones: i) they cover the whole period with the same methodology, and by reaching 1929 these series can be joined with contemporary price indices,... View Details
Gómez-Galvarriato, Aurora, and Aldo Musacchio. "Un nuevo índice de precios para México, 1886-1929 [A New Price Index for Mexico, 1886-1929]." Trimestre económico 67, no. 265 (January–March 2000): 47–91.
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods
Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
- April 2014
- Tutorial
Conjoint Analysis: Online Tutorial
By: Elie Ofek and Olivier Toubia
The Conjoint Analysis: Online Tutorial is an interactive pedagogical vehicle intended to facilitate understanding of one of the most popular market research methods in academia and practice, namely conjoint analysis. The aim is to provide students or executives going... View Details
- 2018
- Working Paper
Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets
By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
We investigate how dynamic pricing can lead to more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of... View Details
Keywords: Cash On Delivery; Dynamic Pricing; Online Retail; Payment Methods; Strategic Customer Behavior; Opportunistic Returns; Price; Policy; Consumer Behavior; Emerging Markets; Retail Industry
Bandi, Chaithanya, Antonio Moreno, Donald Ngwe, and Zhiji Xu. "Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets." Harvard Business School Working Paper, No. 19-030, September 2018.