Many of the attributes with respect to pricing services are implied by economic theory that can be modeled and investigated by using relevant data from a company. In this paper, we investigate effects that a large service provider use in the pricing of services. From a company we have access to customer transaction data. The dataset has been collected during a period of one year. With the use of transaction data, we expand the microeconomic model and decompose the loyalty parameter into single customers and this opens up for several new microeconomic considerations and new challenges.
|Status||Udgivet - 2019|
|Begivenhed||2019 INFORMS Annual Meeting - Washington State Convention Center & Sheraton Grand Seattle Hotel, Seattle, USA|
Varighed: 20 okt. 2019 → 23 okt. 2019
|Konference||2019 INFORMS Annual Meeting|
|Lokation||Washington State Convention Center & Sheraton Grand Seattle Hotel|
|Periode||20/10/2019 → 23/10/2019|