EconPapers    
Economics at your fingertips  
 

On sales effort and pricing decisions under alternative risk criteria

Xiang Li, Xiangtong Qi and Yongjian Li

European Journal of Operational Research, 2021, vol. 293, issue 2, 603-614

Abstract: In the literature, different risk criteria are proposed for risk-averse decision-making, but it is often unclear which risk criteria should be used and what their differences may be. This study investigates this problem when a risk-averse, make-to-order firm decides its pricing and sales effort, two factors affecting demand. We consider alternative risk criteria commonly used in the literature, namely expected utility theory (EUT), mean-variance (MV), mean-semideviation (MS), value-at-risk (VaR), conditional value-at-risk (CVaR), and loss aversion (LA). We find that all of these criteria lead to similar qualitative behaviors regarding how risk-/loss-averse decisions deviate from risk-neutral ones. A particularly interesting result is that the form of demand randomness, i.e., additive or multiplicative, can completely reverse the effect of risk/loss aversion in certain cases. We also find that the risk aversion models, i.e., EUT, MV, MS, VaR, and CVaR, are essentially equivalent in inducing the same set of optimal solutions under adverse market states. However, loss aversion is a mild version of risk aversion in that the LA model can only lead to a subset of the solutions generated by other models. These results may not be valid for other applications, such as the newsvendor pricing problem, so we can conclude that the relationship between alternative risk criteria is case-sensitive and should be evaluated more carefully.

Keywords: (D)OR in marketing; Risk analysis; Loss aversion; Pricing; Sales effort (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221720310687
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:293:y:2021:i:2:p:603-614

DOI: 10.1016/j.ejor.2020.12.025

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:293:y:2021:i:2:p:603-614