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Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem

机译:解决谈判转移定价问题的战略操纵方法

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摘要

This paper suggests an approach for solving the transfer pricing problem, where negotiation between divisions is carried out considering the manipulation game theory model for a multidivisional firm. The manipulation equilibrium point is conceptualized under the Machiavellian social theory, represented by three concepts: views, tactics and immorality. In this approach, we are considering a non-cooperative model for the transfer pricing problem: a game model involving manipulating and manipulated players engaged cooperatively in a Nash game, restricted by a Stackelberg game. The cooperation is represented by the Nash bargaining solution. The transfer pricing problem is conceptualized as a strong Stackelberg game involving manipulating and manipulated divisions. This structure established conditions of unequal relative power among divisions, where high-power divisions tend to be abusive and less powerful divisions have a tendency to behave compliantly. For computation purposes, we transform the Stackelberg game model into a Nash game, where every division is able of manipulative behavior to some degree: the Nash game relaxes the interpretation of the manipulation game and the equilibrium selection for the transfer pricing problem. The manipulation dynamics and rationality proposed for the transfer pricing problem correspond to many real-world negotiation situations. We present an example, that illustrates how manipulation can be employed to solve the transfer pricing problem in a multidivisional firm.
机译:本文介绍了解决转移定价问题的方法,其中考虑了多功能公司的操纵博弈理论模型进行了分部之间的谈判。操纵均衡点是由三个概念所代表的机械大学社会理论下的概念化:观点,策略和不道德。在这种方法中,我们正在考虑转移定价问题的非合作模式:涉及操纵和操纵玩家在纳什游戏中聘用的操纵玩家的游戏模型,由Stackelberg游戏限制。合作由纳什议价解决方案代表。转移定价问题被概念化为涉及操纵和操纵部门的强大的Stackelberg游戏。这种结构建立了分裂中不等的相对权力的条件,其中大功率分歧往往是虐待,不那么强大的分歧具有符合行为行为的趋势。为了计算目的,我们将Stackelberg游戏模型转换为纳什游戏,每个部门都能够在某种程度上进行操纵行为:纳什游戏放松了操纵游戏的解释和转移定价问题的均衡选择。为转移定价问题提出的操纵动态和合理性对应于许多现实世界谈判情况。我们提出了一个示例,说明了如何采用操作来解决多种程度的公司中的转移定价问题。

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