Inventory management and the value of quick response to the retailer facing boundedly rational strategic customers
Jia Song,
Juliang Zhang and
T.C.E. Cheng
International Journal of Production Research, 2021, vol. 59, issue 19, 5743-5757
Abstract:
We consider a two-stage newsvendor model in which the retailer orders a product and sells it at the full price in the first stage, and sells the leftover stock, if any, at a discounted price in the second stage. The customers are strategic, who are boundedly rational and risk averse, and their valuations of the product decrease with time. The customers make purchase decisions based on their beliefs of the product’s availability and their expected utility in the two stages. The customers who purchase in the second stage may not get the product. Characterising the retailer’s optimal inventory policy, we show that the retailer’s optimal profit decreases with the rate of the customers’ decreasing product valuation. Moreover, as the customers become less rational or more risk averse, the retailer’s profit vary with the model parameters. We conduct numerical studies to examine the impacts of the customers’ bounded rationality on the retailer’s order quantity and optimal profit. In addition, considering the value of the quick response (QR) strategy, we show that the QR strategy can increase the retailer’s profit, while the customers’ bounded rationality may increase or decrease the value of QR to the retailer.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2020.1789237 (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:59:y:2021:i:19:p:5743-5757
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2020.1789237
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 ().