2021
DOI: 10.1111/poms.13412
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Salesforce Compensation and Two‐Sided Ambiguity: Robust Moral Hazard with Moment Information

Abstract: We analyze a salesforce principal‐agent model where both the firm and sales agent have limited information on the effort‐dependent demand distribution, creating two‐sided ambiguity. Under the max–min decision criteria, the firm offers a contract to the agent who exerts unobservable effort to influence the demand distribution. We formulate the problem as a semi‐infinite program and use the agent's shadow prices to construct the least expensive contract. Next, we use the least expensive contract to create a non‐… Show more

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Cited by 8 publications
(2 citation statements)
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References 61 publications
(113 reference statements)
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“…Moreover, our research does not assume additional complexities stemming from moral hazard. Indeed, there is an emerging literature (e.g., Chu and Lai 2013, Dai and Jerath 2013, Dai and Jerath 2016, Dai et al 2021, Li and Kirshner 2021, where managers must design incentive contracts (often quota bonuses) to coordinate agents' unobservable marketing efforts with inventory decisions. Interestingly, this literature assumes a normative newsvendor.…”
Section: Uncertainty In Overconfidence and Loss Aversionmentioning
confidence: 99%
“…Moreover, our research does not assume additional complexities stemming from moral hazard. Indeed, there is an emerging literature (e.g., Chu and Lai 2013, Dai and Jerath 2013, Dai and Jerath 2016, Dai et al 2021, Li and Kirshner 2021, where managers must design incentive contracts (often quota bonuses) to coordinate agents' unobservable marketing efforts with inventory decisions. Interestingly, this literature assumes a normative newsvendor.…”
Section: Uncertainty In Overconfidence and Loss Aversionmentioning
confidence: 99%
“…The first of the existing studies on the principal-agent relationship considering quotas considered cost limits [ 29 ], jointly defining the agents' costs. This differs from our focus on quota production.…”
Section: Introductionmentioning
confidence: 99%