Warranty pricing with consumer learning
Yong Lei,
Qian Liu and
Stephen Shum
European Journal of Operational Research, 2017, vol. 263, issue 2, 596-610
Abstract:
We consider a problem in which a firm dynamically prices a product and its warranty service over time. Consumers can learn about the reliability of products based on warranty prices. A firm’s optimal product and warranty pricing policies are characterized. We find that a warranty should be priced lower than the marginal warranty service cost, which implies that warranty sales will not generate profits directly. However, offering a modest warranty still benefits the firm’s overall profits. We also show that consumers’ beliefs and the firm’s warranty policy converge in the long run. In a steady state, either a fraction of consumers will purchase a warranty or no consumer will purchase a warranty. Comparative statics analysis is conducted to show how factors such as a firm’s warranty service cost, consumers’ learning speed, and the heterogeneity of consumers’ handling costs determine consumers’ beliefs, the firm’s warranty policy and profitability in a steady state. Lastly, we note that a firm benefits from consumer learning by hiding the information about the true product reliability only when the true product failure rate is relatively high.
Keywords: Revenue management; Consumer learning; Pricing; Warranty management (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717305635
Full text for ScienceDirect subscribers only
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:eee:ejores:v:263:y:2017:i:2:p:596-610
DOI: 10.1016/j.ejor.2017.06.024
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().