Incentive Design for Operations-Marketing Multitasking

Tinglong Dai, Rongzhu Ke, C. Ryan
{"title":"Incentive Design for Operations-Marketing Multitasking","authors":"Tinglong Dai, Rongzhu Ke, C. Ryan","doi":"10.2139/ssrn.3235866","DOIUrl":null,"url":null,"abstract":"A firm hires an agent (e.g., a store manager) to undertake both operational and marketing tasks. Marketing tasks boost demand, but for demand to translate into sales, operational effort is required to maintain adequate inventory. The firm designs a compensation plan to induce the agent to put effort into both marketing and operations while facing demand censoring (i.e., demand in excess of available inventory is unobservable). We formulate this incentive-design problem in a principal-agent framework with a multitasking agent subject to a censored signal. We develop a bang-bang optimal control approach, with a general optimality structure applicable to a broad class of incentive-design problems. Using this approach, we characterize the optimal compensation plan, with a bonus region resembling a “mast” and “sail” such that a bonus is paid when either all inventory above a threshold is sold or the sales quantity meets an inventory-dependent target. The optimal mast-and-sail compensation plan implies nonmonotonicity, where the agent can be less likely to receive a bonus for achieving a better outcome. This gives rise to an ex post moral hazard issue where the agent may “hide” inventory to earn a bonus. We show that this ex post moral hazard issue is a result of demand censoring. If available information includes a waiting list (or other noisy signals) to gauge unsatisfied demand, no ex post moral hazard issues remain. This paper was accepted by Vishal Gaur, operations management.","PeriodicalId":285784,"journal":{"name":"ERN: Economics of Contract: Theory (Topic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Economics of Contract: Theory (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3235866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

A firm hires an agent (e.g., a store manager) to undertake both operational and marketing tasks. Marketing tasks boost demand, but for demand to translate into sales, operational effort is required to maintain adequate inventory. The firm designs a compensation plan to induce the agent to put effort into both marketing and operations while facing demand censoring (i.e., demand in excess of available inventory is unobservable). We formulate this incentive-design problem in a principal-agent framework with a multitasking agent subject to a censored signal. We develop a bang-bang optimal control approach, with a general optimality structure applicable to a broad class of incentive-design problems. Using this approach, we characterize the optimal compensation plan, with a bonus region resembling a “mast” and “sail” such that a bonus is paid when either all inventory above a threshold is sold or the sales quantity meets an inventory-dependent target. The optimal mast-and-sail compensation plan implies nonmonotonicity, where the agent can be less likely to receive a bonus for achieving a better outcome. This gives rise to an ex post moral hazard issue where the agent may “hide” inventory to earn a bonus. We show that this ex post moral hazard issue is a result of demand censoring. If available information includes a waiting list (or other noisy signals) to gauge unsatisfied demand, no ex post moral hazard issues remain. This paper was accepted by Vishal Gaur, operations management.
运营营销多任务的激励设计
公司雇用代理人(例如,商店经理)来承担运营和营销任务。营销任务促进了需求,但为了将需求转化为销售,需要运营努力来维持足够的库存。公司设计了一个补偿计划,以诱导代理商在面临需求审查(即,超过可用库存的需求是不可观察的)的情况下将精力投入到营销和运营中。我们在一个多任务代理受制于截尾信号的委托-代理框架中提出了这个激励设计问题。我们开发了一种bang-bang最优控制方法,具有适用于广泛的激励设计问题的一般最优结构。使用这种方法,我们描述了最优补偿计划的特征,奖金区域类似于“桅杆”和“帆”,这样,当超过阈值的所有库存都售出或销售量满足与库存相关的目标时,就会支付奖金。最优的桅杆和帆补偿计划意味着非单调性,在这种情况下,智能体获得更好结果的奖励的可能性更小。这就产生了事后道德风险问题,即代理可能会“隐藏”库存以获得奖励。我们表明,这种事后道德风险问题是需求审查的结果。如果可用的信息包括一个等待名单(或其他嘈杂的信号)来衡量未满足的需求,就不存在事后道德风险问题。本文被运营管理专业的Vishal Gaur接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信