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Show Results For
- All HBS Web
(732)
- People (1)
- News (146)
- Research (511)
- Events (5)
- Multimedia (1)
- Faculty Publications (169)
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- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- July 2021
- Article
The Effect of Price on Firm Reputation
By: Michael Luca and Oren Reshef
While a business's reputation can affect its pricing, prices can also affect its reputation. To explore the effect of prices on reputation, we investigate daily data on menu prices and online ratings from a large rating and ordering platform. We find that a price... View Details
Keywords: Pricing; Reputation Systems; IT Policy And Management; Economics Of Digital Platforms; Business Ventures; Reputation; Price; Consumer Behavior; Analysis
Luca, Michael, and Oren Reshef. "The Effect of Price on Firm Reputation." Management Science 67, no. 7 (July 2021): 4408–4419.
- 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
- Article
Doing Business with Strangers: Reputation in Online Service Marketplaces
By: Antonio Moreno and Christian Terwiesch
Online service marketplaces allow service buyers to post their project requests and service providers to bid for them. To reduce the transactional risks, marketplaces typically track and publish previous seller performance. By analyzing a detailed transactional data... View Details
Moreno, Antonio, and Christian Terwiesch. "Doing Business with Strangers: Reputation in Online Service Marketplaces." Information Systems Research 25, no. 4 (December 2014): 865–886.
- 2022
- Article
Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response
By: Alexander MacKay and Samuel N. Weinstein
Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate... View Details
Keywords: Competition Policy; Regulation; Algorithmic Pricing; Dynamic Pricing; Economics; Law And Economics; Law And Regulation; Consumer Protection; Antitrust Law; Industrial Organization; Antitrust Issues And Policies; Technological Change: Choices And Consequences; Competition; Policy; Price; Governing Rules, Regulations, and Reforms; Microeconomics; Duopoly and Oligopoly; Law
MacKay, Alexander, and Samuel N. Weinstein. "Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response." Washington University Law Review 100, no. 1 (2022): 111–174. (Direct download.)
- Research Summary
Drip Pricing
Anyone who has shopped for an airline ticket online has experienced drip pricing, as each successive screen seems to reveal another fee throughout the purchasing process. This practice is becoming prevalent in a variety of industries, but its effect on consumers is... View Details
- November 2013 (Revised November 2014)
- Case
Freemium Pricing at Dropbox
By: Thales Teixeira and Elizabeth Anne Watkins
Online storage company Dropbox provided remote-storage over the internet of any type of computer file, along with file sharing, synchronization and backup. Using a freemium pricing strategy whereby a basic service was free-of-charge and a premium service was paid,... View Details
Teixeira, Thales, and Elizabeth Anne Watkins. "Freemium Pricing at Dropbox." Harvard Business School Case 514-053, November 2013. (Revised November 2014.)
- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
- Other Article
Online Discounting: Who is Leading the Race to the Bottom?
By: Ayelet Israeli, Eric Anderson and Anne Coughlan
A short review of the finidings in: Israeli, Ayelet, Eric Anderson, and Anne Coughlan. "Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets." Marketing Science 35, no. 4 (July–August 2016): 539–564. View Details
Keywords: Pricing; Price Policies; Pricing Policies; Discounting; Retailing; Retailing Industry; Minimum Advertised Price; Ecommerce; E-Commerce Strategy; Price; Distribution Channels; Distribution; Digital Marketing; E-commerce; Retail Industry; Technology Industry; Advertising Industry; United States
- 2021
- Working Paper
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; Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020. (Revised December 2021. Accepted at Marketing Science.)
- 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
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
- 11 Dec 2006
- Research & Ideas
Fixing Price Tag Confusion
rental charge and a charge for the remote. Do partitioned prices help the consumer make an informed decision or just add to his or her confusion? Do partitioned prices increase demand? Is an View Details