Online MAP enforcement: Evidence from a quasi-experiment

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 influence prices set by their down...

Full description

Bibliographic Details
Main Author: Israeli, A. (Author)
Format: Article
Language:English
Published: INFORMS Inst.for Operations Res.and the Management Sciences 2018
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02128nam a2200205Ia 4500
001 10.1287-mksc.2018.1092
008 220706s2018 CNT 000 0 und d
020 |a 07322399 (ISSN) 
245 1 0 |a Online MAP enforcement: Evidence from a quasi-experiment 
260 0 |b INFORMS Inst.for Operations Res.and the Management Sciences  |c 2018 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1287/mksc.2018.1092 
520 3 |a 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 influence prices set by their downstream partners. A MAP policy imposes a lower bound on advertised prices, subjecting violating retailers to punishments such as termination of distribution agreements. Despite this threat, violations are common. I uncover two key elements to improve compliance: customization to the online environment and credible monitoring and punishments. I analyze the pricing, enforcement, and channel management policies of a manufacturer over several years. During this period, new channel policies take effect, providing a quasi-experiment. The new policies lead to substantially fewer violations. With improved compliance, channel prices increase by 2% without loss in volume. The reduction in violations is particularly stark among authorized retailers with lower sales volume, those that previously operated unapproved websites, and those that have received violation notifications for the specific product before. Moreover, low service providers improve their service. At the same time, there is an increase in opportunistic behavior among top retailers, or retailers that received notifications for other products, and for less popular products via deep discounting. © 2018 INFORMS. 
650 0 4 |a Channel relationships 
650 0 4 |a e-commerce 
650 0 4 |a Legal 
650 0 4 |a Pricing 
650 0 4 |a Pricing policy 
650 0 4 |a Quasi-experiment 
700 1 |a Israeli, A.  |e author 
773 |t Marketing Science