A newsvendor problem with boundedly rational strategic customers
Yanan Song and
Xiaobo Zhao
International Journal of Production Research, 2017, vol. 55, issue 1, 228-243
Abstract:
This work considers a newsvendor system with strategic customers who are boundedly rational in terms of buying during the selling season or waiting for a discount in the savage market. The newsvendor’s decisions are to determine the selling price and order quantity. An optimisation problem is formulated with the incorporation of a game for interaction between strategic customers. We use the quantal choice framework to characterise the behaviour of strategic customers. It is shown that when the bounded rationality parameter is large, the quantal response equilibrium is unique; otherwise, multiple equilibria may exist. For the unique equilibrium case, it is not difficult to determine the optimal decisions for the newsvendor. For the multiple equilibria case, we give theoretical analyses and numerical calculations to provide implications to the newsvendor. Additionally, based on the special case (with perfectly rational strategic customers), some important results are also observed.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2016.1201607 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:55:y:2017:i:1:p:228-243
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2016.1201607
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().