Pricing and Promotions
Randomized Markdowns and Online MonitoringFeb 22, 2018 Kostas Bimpikis, Stanford University
Online retail reduces the costs of obtaining information about a product's price and availability and enables customers to better time their purchases to potentially take advantage of lower prices. At the same time, firms can observe and exploit their customers' monitoring behavior and use this information to better price and target their promotions.
Dynamic Pricing in a Labor Market: Surge Pricing and Flexible Work on the Uber PlatformFeb 09, 2017 Keith Chen, University of California, Los Angeles and Chief Economist, Uber
In many markets, new technologies allow traditional jobs to be divided into discrete tasks that are widely distributed across workers and dynamically priced given prevailing supply and demand conditions. This “sharing” or “gig” economy represents a more flexible work system, and is most common in two-sided markets in which a firm acts as a platform to connect service providers and consumers.
The Impact of Referral Coupons on Customer Behavior and Firm Revenues: Evidence from Field ExperimentsAug 5, 2016 Raghuram Iyengar and Young-Hoon Park, 2016, 16-123
Inspired by the success of referral campaigns in the service industry, retailers have begun offering coupons redeemable by target customers and their friends. How well do they work? The evidence is surprising.
Competitive Price Targeting with Smartphone CouponsFeb 8, 2016 Jean-Pierre Dubé, Zheng Fang, Nathan Fong, and Xueming Luo, 2016, 16-103
Mobile technology allows firms to target promotional offers to customers located near a competitor. How does competitor response moderate the profitability of geo-conquesting?
Should You Adapt Your Pricing and Ratings Reaction to a Country’s Cultural and Socioeconomic Setting?Jan 19, 2016 Raoul Kuebler, Koen Pauwels, Gokhan Yildirim, and Thomas Fandrich, 2016, 16-100
Many firms tend to offer similar prices and marketing around the world. How do countries differ in the market’s response? This study analyzes the sensitivity of sales to price and user ratings across 60 developing and developed markets.
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