The Interest of Having Loyal Buyers in a Perishable Market
Juliette Rouchier ()
Computational Economics, 2013, vol. 41, issue 2, 170 pages
The aim of this paper is to show the particular role of buyer loyalty in a perishable goods market. For this we build an agent-based model, inspired by a wholesale market on which we had performed some qualitative field study. In this model we define a very simple negotiation procedure for wholesalers and retailers, who are divided in two populations: loyal retailers who always visit the same seller first and opportunistic retailers who look for the best prices. In this setting, the presence of opportunistic retailers increases the quantity of waste and reduces global earnings for all agents. We then endogenize the attitude of retailers with a reinforcement learning mechanism and show that the number of loyal retailers reaches 80–100% of the population, depending on the difference of prices between expensive and cheap goods, which is the interval in which the production of waste is minimal. Copyright Springer Science+Business Media New York 2013
Keywords: Loyalty; Learning; Search; Market for perishable goods; C88; D49; D83; Z13 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:41:y:2013:i:2:p:151-170
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().