Technical Note: Optimal Salesforce Compensation with Supply–Demand Mismatch Costs
Binqing Xiao and
Wenqiang Xiao
Production and Operations Management, 2020, vol. 29, issue 1, 62-71
Abstract:
In this study, we characterize the optimal compensation scheme for a firm that sells a single product with a limited stocking quantity through a sales agent. Our focus is on understanding how the supply–demand mismatch costs affect the firm’s optimal compensation scheme. There are two main findings. First, under the deterministic demand response, the classical optimality result of the convex increasing compensation scheme breaks with the consideration of supply–demand mismatch costs. Instead, the optimal compensation is S‐shaped under certain conditions. Second, under the stochastic demand response, the classical optimality result of the menu of linear compensation schemes fails to hold with the consideration of supply–demand mismatch costs. Instead, the optimal compensation schemes consist of a menu of linear compensation coupled with a penalty of the agent’s forecast error.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.1111/poms.13096
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:bla:popmgt:v:29:y:2020:i:1:p:62-71
Ordering information: This journal article can be ordered from
http://onlinelibrary ... 1111/(ISSN)1937-5956
Access Statistics for this article
Production and Operations Management is currently edited by Kalyan Singhal
More articles in Production and Operations Management from Production and Operations Management Society
Bibliographic data for series maintained by Wiley Content Delivery ().